CDISE: publications
Data retrieved from SciVal platform (Scopus database) on September 30, 2020.
Publications are categorized in accordance with lists of Academic personnel for each particular year.
242-484, S5, S13
2020 485-631, S1-S4, S6-S7, S9-S12, S14-S18
1. Ganin, Y., Ustinova, E., Ajakan, H., Germain, P., Larochelle, H., Laviolette, F., Marchand, M., Lempitsky, V.
(2016).Domain-adversarial training of neural networks.
Journal of Machine Learning Research,17
Scopus: 2-s2.0-84979887690

2. Lebedev, V., Lempitsky, V.
(2016).Fast ConvNets Using Group-Wise Brain Damage.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2016-2554-2564
DOI: 10.1109/CVPR.2016.280 Scopus: 2-s2.0-84986264846

3. Haegeman, J., Lubich, C., Oseledets, I., Vandereycken, B., Verstraete, F.
(2016).Unifying time evolution and optimization with matrix product states.
Physical Review B,94(16)
DOI: 10.1103/PhysRevB.94.165116
Scopus: 2-s2.0-84992146443

4. Ustinova, E., Lempitsky, V.
(2016).Learning deep embeddings with histogram loss.
Advances in Neural Information Processing Systems,4177-4185
Scopus: 2-s2.0-85019265802

5. Shapeev, A.V.
(2016).Moment tensor potentials: A class of systematically improvable interatomic potentials.
Multiscale Modeling and Simulation,14(3) 1153-1173
DOI: 10.1137/15M1054183
Scopus: 2-s2.0-84989347241

6. Cichocki, A., Lee, N., Oseledets, I., Phan, A.-H., Zhao, Q., Mandic, D.P.
(2016).Tensor networks for dimensionality reduction and large-scale optimization part 1 low-rank tensor decompositions.
Foundations and Trends in Machine Learning,9(4-5) 249-429
DOI: 10.1561/2200000059
Scopus: 2-s2.0-85007040135

7. Miller, O.D., Polimeridis, A.G., Reid, M.T.H., Hsu, C.W., Delacy, B.G., Joannopoulos, J.D., Soljačić, M., Johnson, S.G.
(2016).Fundamental limits to optical response in absorptive systems.
Optics Express,24(4) 3329-3364
DOI: 10.1364/OE.24.003329
Scopus: 2-s2.0-84961614137

8. Arteta, C., Lempitsky, V., Zisserman, A.
(2016).Counting in the wild.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),9911483-498
DOI: 10.1007/978-3-319-46478-7_30
Scopus: 2-s2.0-84990040923

9. Yandex, A.B., Lempitsky, V.
(2016).Efficient Indexing of Billion-Scale Datasets of Deep Descriptors.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2016-2055-2063
DOI: 10.1109/CVPR.2016.226
Scopus: 2-s2.0-84986247157

10. Docampo-Álvarez, B., Gómez-González, V., Montes-Campos, H., Otero-Mato, J.M., Méndez-Morales, T., Cabeza, O., Gallego, L.J., Lynden-Bell, R.M., Ivaništšev, V.B., Fedorov, M.V., Varela, L.M. (2016).Molecular dynamics simulation of the behaviour of water in nano-confined ionic liquid-water mixtures.
Journal of Physics Condensed Matter,28(46)
DOI: 10.1088/0953-8984/28/46/464001
Scopus: 2-s2.0-84989162335

11. Arteta, C., Lempitsky, V., Noble, J.A., Zisserman, A.
(2016).Detecting overlapping instances in microscopy images using extremal region trees. Medical Image Analysis,273-16 DOI: 10.1016/ Scopus: 2-s2.0-84948090245

12. Ganin, Y., Kononenko, D., Sungatullina, D., Lempitsky, V.
(2016).DeepWarp: Photorealistic image resynthesis for gaze manipulation.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),9906311-326
DOI: 10.1007/978-3-319-46475-6_20
Scopus: 2-s2.0-84990855318

13. Burnaev, E., Smolyakov, D.
(2016).One-Class SVM with Privileged Information and Its Application to Malware Detection.
IEEE International Conference on Data Mining Workshops, ICDMW,0273-280
DOI: 10.1109/ICDMW.2016.0046
Scopus: 2-s2.0-85015178515

14. Rakhuba, M., Oseledets, I.
(2016).Calculating vibrational spectra of molecules using tensor train decomposition.
Journal of Chemical Physics,145(12)
DOI: 10.1063/1.4962420
Scopus: 2-s2.0-84988856982

15. Villena, J.F., Polimeridis, A.G., Eryaman, Y., Adalsteinsson, E., Wald, L.L., White, J.K., Daniel, L. (2016).Fast Electromagnetic Analysis of MRI Transmit RF Coils Based on Accelerated Integral Equation Methods.
IEEE Transactions on Biomedical Engineering,63(11) 2250-2261
DOI: 10.1109/TBME.2016.2521166
Scopus: 2-s2.0-84994047770

16. Misin, M., Palmer, D.S., Fedorov, M.V.
(2016).Predicting Solvation Free Energies Using Parameter-Free Solvent Models.
Journal of Physical Chemistry B,120(25) 5724-5731
DOI: 10.1021/acs.jpcb.6b05352
Scopus: 2-s2.0-84976871338

17. Badranova, G.U., Gotovtsev, P.M., Zubavichus, Y.V., Staroselskiy, I.A., Vasiliev, A.L., Trunkin, I.N., Fedorov, M.V.
(2016).Biopolymer-based hydrogels for encapsulation of photocatalytic TiO2 nanoparticles prepared by the freezing/thawing method.
Journal of Molecular Liquids,22316-20
DOI: 10.1016/j.molliq.2016.07.135
Scopus: 2-s2.0-84981507089

18. Jin, W., Polimeridis, A.G., Rodriguez, A.W.
(2016).Temperature control of thermal radiation from composite bodies.
Physical Review B,93(12) DOI: 10.1103/PhysRevB.93.121403
Scopus: 2-s2.0-84960945131

19. Li, X.H., Ortner, C., Shapeev, A.V., Van Koten, B.
(2016).Analysis of blended atomistic/continuum hybrid methods.
Numerische Mathematik,134(2) 275-326
DOI: 10.1007/s00211-015-0772-z
Scopus: 2-s2.0-84947597514

20. Rakhuba, M.V., Oseledets, I.V.
(2016).Grid-based electronic structure calculations: The tensor decomposition approach.
Journal of Computational Physics,31219-30
DOI: 10.1016/
Scopus: 2-s2.0-84958259400

21. Serralles, J.E.C., Daniel, L., White, J.K., Sodickson, D.K., Lattanzi, R., Polimeridis, A.G. (2016).Global maxwell tomography: A novel technique for electrical properties mapping based on MR measurements and volume integral equation formulations.
2016 IEEE Antennas and Propagation Society International Symposium, APSURSI 2016 - Proceedings,1395-1396
DOI: 10.1109/APS.2016.7696404
Scopus: 2-s2.0-84997287932

22. Kuleshov, A., Bernstein, A.
(2016).Incremental construction of low-dimensional data representations.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),989655-67
DOI: 10.1007/978-3-319-46182-3_5
Scopus: 2-s2.0-84988019865

23. Jin, W., Khandekar, C., Pick, A., Polimeridis, A.G., Rodriguez, A.W.
(2016).Amplified and directional spontaneous emission from arbitrary composite bodies: A self-consistent treatment of Purcell effect below threshold.
Physical Review B,93(12)
DOI: 10.1103/PhysRevB.93.125415
Scopus: 2-s2.0-84960884107

24. Olson, D., Shapeev, A.V., Bochev, P.B., Luskin, M.
(2016).Analysis of an optimization-based atomistic-to-continuum coupling method for point defects. ESAIM: Mathematical Modelling and Numerical Analysis,50(1) 1-41
DOI: 10.1051/m2an/2015023
Scopus: 2-s2.0-84947435482

25. Frolov, E., Oseledets, I.
(2016).Fifty shades of ratings: How to benefit from a negative feedback in top-N recommendations tasks.
RecSys 2016 - Proceedings of the 10th ACM Conference on Recommender Systems,91-98
DOI: 10.1145/2959100.2959170
Scopus: 2-s2.0-84991246626

26. Nazarenko, D.V., Kharyuk, P.V., Oseledets, I.V., Rodin, I.A., Shpigun, O.A.
(2016).Machine learning for LC-MS medicinal plants identification.
Chemometrics and Intelligent Laboratory Systems,156174-180
DOI: 10.1016/j.chemolab.2016.06.003
Scopus: 2-s2.0-84974733845

27. Bozyk, L., Chill, F., Litsarev, M.S., Tolstikhina, I.Y., Shevelko, V.P.
(2016).Multiple-electron losses in uranium ion beams in heavy ion synchrotrons.
Nuclear Instruments and Methods in Physics Research, Section B: Beam Interactions with Materials and Atoms,372102-108
DOI: 10.1016/j.nimb.2016.01.047
Scopus: 2-s2.0-84961183501

28. Artemov, A., Burnaev, E.
(2016).Detecting Performance Degradation of Software-Intensive Systems in the Presence of Trends and Long-Range Dependence.
IEEE International Conference on Data Mining Workshops, ICDMW,029-36
DOI: 10.1109/ICDMW.2016.0013
Scopus: 2-s2.0-85015185129

29. Misin, M., Vainikka, P.A., Fedorov, M.V., Palmer, D.S.
(2016).Salting-out effects by pressure-corrected 3D-RISM.
Journal of Chemical Physics,145(19)
DOI: 10.1063/1.4966973
Scopus: 2-s2.0-84996843195

30. Litsarev, M.S., Oseledets, I.V.
(2016).A low-rank approach to the computation of path integrals.
Journal of Computational Physics,305557-574
DOI: 10.1016/
Scopus: 2-s2.0-84946781795

31. Sushnikova, D.A., Oseledets, I.V.
(2016).Preconditioners for hierarchical matrices based on their extended sparse form.
Russian Journal of Numerical Analysis and Mathematical Modelling,31(1) 29-40
DOI: 10.1515/rnam-2016-0003
Scopus: 2-s2.0-84959018923

32. Kuleshov, A., Bernstein, A.
(2016).Regression on High-Dimensional Inputs.
IEEE International Conference on Data Mining Workshops, ICDMW,0732-739
DOI: 10.1109/ICDMW.2016.0108
Scopus: 2-s2.0-85015200942

33. Abdulle, A., Jecker, O., Shapeev, A.
(2016).An optimization based coupling method for multiscale problems.
Multiscale Modeling and Simulation,14(4) 1377-1416
DOI: 10.1137/15M105389X
Scopus: 2-s2.0-85007030751

34. Gagarina, G.Y., Moiseev, N.A., Ryzhakova, A.V., Ryzhakov, G.V.
(2016).Estimation and forecast of regional competitiveness level.
Economy of Region,12(4) 1040-1049
DOI: 10.17059/2016-4-6
Scopus: 2-s2.0-85009830114

35. Grinchuk, O., Lebedev, V., Lempitsky, V.
(2016).Learnable visual markers.
Advances in Neural Information Processing Systems,4150-4158
Scopus: 2-s2.0-85019241450

36. Kuzmin, A., Zhang, X., Finche, J., Feigin, M., Anthony, B.W., Lempitsky, V.
(2016).Fast low-cost single element ultrasound reflectivity tomography using angular distribution analysis.
Proceedings - International Symposium on Biomedical Imaging,2016-1021-1024
DOI: 10.1109/ISBI.2016.7493439
Scopus: 2-s2.0-84978388410

37. Oseledets, I.V., Rakhuba, M.V., Chertkov, A.V.
(2016).Black-box solver for one dimensional multiscale modelling using the QTT format.
ECCOMAS Congress 2016 - Proceedings of the 7th European Congress on Computational Methods in Applied Sciences and Engineering,47938-7947
DOI: 10.7712/100016.2387.10906
Scopus: 2-s2.0-84995538631
38. Biamonte, J., Wittek, P., Pancotti, N., Rebentrost, P., Wiebe, N., Lloyd, S.
(2017).Quantum machine learning.
Nature,549(7671) 195-202
DOI: 10.1038/nature23474
Scopus: 2-s2.0-8503075236

39. Klokov, R., Lempitsky, V.
(2017) Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models. Proceedings of the IEEE International Conference on Computer Vision,2017-863-872
DOI: 10.1109/ICCV.2017.99
Scopus: 2-s2.0-85041901821

40. Ulyanov, D., Vedaldi, A., Lempitsky, V.
(2017).Improved texture networks: Maximizing quality and diversity in feed-forward stylization and texture synthesis.
Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017,2017-4105-4113
DOI: 10.1109/CVPR.2017.437
Scopus: 2-s2.0-85041924129

41. Pumarola, A., Vakhitov, A., Agudo, A., Sanfeliu, A., Moreno-Noguer, F.
(2017).PL-SLAM: Real-time monocular visual SLAM with points and lines. Proceedings - IEEE International Conference on Robotics and Automation,4503-4508
DOI: 10.1109/ICRA.2017.7989522
Scopus: 2-s2.0-85027998904

42. Yarotsky, D.
(2017).Error bounds for approximations with deep ReLU networks.
Neural Networks,94103-114
DOI: 10.1016/j.neunet.2017.07.002
Scopus: 2-s2.0-85026205840

43. Lefkimmiatis, S.
(2017).Non-local color image denoising with convolutional neural networks.
Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017,2017-5882-5891
DOI: 10.1109/CVPR.2017.623
Scopus: 2-s2.0-85040669990

44. Ustinova, E., Ganin, Y., Lempitsky, V.
(2017).Multi-Region bilinear convolutional neural networks for person re-identification.
2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017,
DOI: 10.1109/AVSS.2017.8078460
Scopus: 2-s2.0-85039898482

45. Podryabinkin, E.V., Shapeev, A.V.
(2017).Active learning of linearly parametrized interatomic potentials.
Computational Materials Science,140171-180
DOI: 10.1016/j.commatsci.2017.08.031
Scopus: 2-s2.0-85028916984

46. Korolev, S., Safiullin, A., Belyaev, M., Dodonova, Y.
(2017).Residual and plain convolutional neural networks for 3D brain MRI classification.
Proceedings - International Symposium on Biomedical Imaging,835-838
DOI: 10.1109/ISBI.2017.7950647
Scopus: 2-s2.0-85023166391

47. Cichocki, A., Phan, A.-H., Zhao, Q., Lee, N., Oseledets, I., Sugiyama, M., Mandic, D. (2017).Tensor networks for dimensionality reduction and large-scale optimizations: Part 2 applications and future perspectives.
Foundations and Trends in Machine Learning,9(6) 431-673
DOI: 10.1561/2200000067
Scopus: 2-s2.0-85013421573

48. Jin, J., Zhang, H., Daly, I., Wang, X., Cichocki, A.
(2017).An improved P300 pattern in BCI to catch user's attention.
Journal of Neural Engineering,14(3) DOI: 10.1088/1741-2552/aa6213
Scopus: 2-s2.0-85020445941

49. Qiu, Z., Allison, B.Z., Jin, J., Zhang, Y., Wang, X., Li, W., Cichocki, A.
(2017).Optimized motor imagery paradigm based on imagining Chinese characters writing movement.
IEEE Transactions on Neural Systems and Rehabilitation Engineering,25(7) 1009-1017
DOI: 10.1109/TNSRE.2017.2655542
Scopus: 2-s2.0-85021697996

50. Frolov, E., Oseledets, I. (2017).Tensor methods and recommender systems.
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery,7(3)
DOI: 10.1002/widm.1201
Scopus: 2-s2.0-85013874327

51. Guérin, B., Villena, J.F., Polimeridis, A.G., Adalsteinsson, E., Daniel, L., White, J.K., Wald, L.L. (2017).The ultimate signal-to-noise ratio in realistic body models.
Magnetic Resonance in Medicine,78(5) 1969-1980
DOI: 10.1002/mrm.26564
Scopus: 2-s2.0-85006412344

52. Che, M., Cichocki, A., Wei, Y.
(2017).Neural networks for computing best rank-one approximations of tensors and its applications.
DOI: 10.1016/j.neucom.2017.04.058
Scopus: 2-s2.0-85020678476

53. Ermilov, D., Panov, M., Yanovich, Y.
(2017).Automatic bitcoin address clustering.
Proceedings - 16th IEEE International Conference on Machine Learning and Applications, ICMLA 2017,2017-461-466
DOI: 10.1109/ICMLA.2017.0-118
Scopus: 2-s2.0-85048493464

54. Ganin, Y., Ustinova, E., Ajakan, H., Germain, P., Larochelle, H., Laviolette, F., Marchand, M., Lempitsky, V.
(2017).Domain-adversarial training of neural networks.
Advances in Computer Vision and Pattern Recognition,(9783319583464) 189-209
DOI: 10.1007/978-3-319-58347-1_10
Scopus: 2-s2.0-85029580147

55. Burnaev, E., Panin, I., Sudret, B.
(2017).Efficient design of experiments for sensitivity analysis based on polynomial chaos expansions. Annals of Mathematics and Artificial Intelligence,81(1-2) 187-207
DOI: 10.1007/s10472-017-9542-1
Scopus: 2-s2.0-85016626814

56. Matveev, S.A., Krapivsky, P.L., Smirnov, A.P., Tyrtyshnikov, E.E., Brilliantov, N.V. (2017).Oscillations in Aggregation-Shattering Processes.
Physical Review Letters,119(26)
DOI: 10.1103/PhysRevLett.119.260601
Scopus: 2-s2.0-85039753641

57. Coles, S.W., Mishin, M., Perkin, S., Fedorov, M.V., Ivaništšev, V.B.
(2017).The nanostructure of a lithium glyme solvate ionic liquid at electrified interfaces.
Physical Chemistry Chemical Physics,19(18) 11004-11010
DOI: 10.1039/c7cp00837f
Scopus: 2-s2.0-85024493739

58. Zaytsev, A., Burnaev, E.
(2017).Large scale variable fidelity surrogate modeling.
Annals of Mathematics and Artificial Intelligence,81(1-2) 167-186
DOI: 10.1007/s10472-017-9545-y
Scopus: 2-s2.0-85017166284

59. Evfratov, S.A., Osterman, I.A., Komarova, E.S., Pogorelskaya, A.M., Rubtsova, M.P., Zatsepin, T.S., Semashko, T.A., Kostryukova, E.S., Mironov, A.A., Burnaev, E., Krymova, E., Gelfand, M.S., Govorun, V.M., Bogdanov, A.A., Sergiev, P.V., Dontsova, O.A.
(2017).Application of sorting and next generation sequencing to study 5'-UTR influence on translation efficiency in Escherichia coli.
Nucleic Acids Research,45(6) 3487-3502
DOI: 10.1093/nar/gkw1141
Scopus: 2-s2.0-85018244910

60. Safin, A., Burnaev, E.
(2017).Conformal kernel expected similarity for anomaly detection in time-series data.
Advances in Systems Science and Applications,17(3) 22-33
Scopus: 2-s2.0-85040741526

61. Thiyam, D.B., Cruces, S., Olias, J., Cichocki, A.
(2017).Optimization of Alpha-Beta Log-Det divergences and their application in the spatial filtering of two class motor imagery movements. Entropy,19(3)
DOI: 10.3390/e19030089
Scopus: 2-s2.0-85014614134

62. Somov, A., Karelin, A., Baranov, A., Mironov, S.
(2017).Estimation of a Gas Mixture Explosion Risk by Measuring the Oxidation Heat Within a Catalytic Sensor.
IEEE Transactions on Industrial Electronics,64(12) 9691-9698
DOI: 10.1109/TIE.2017.2716882
Scopus: 2-s2.0-85021810729

63. Kuzmin, A., Mikushin, D., Lempitsky, V.
(2017).End-to-End learning of cost-volume aggregation for real-time dense stereo.
IEEE International Workshop on Machine Learning for Signal Processing, MLSP,2017-1-6
DOI: 10.1109/MLSP.2017.8168183
Scopus: 2-s2.0-85042268731

64. Li, J., Li, C., Cichocki, A.
(2017).Canonical Polyadic Decomposition with Auxiliary Information for Brain-Computer Interface. IEEE Journal of Biomedical and Health Informatics,21(1) 263-271
DOI: 10.1109/JBHI.2015.2491645
Scopus: 2-s2.0-85027555543

65. Egorova, E., Kabatiansky, G.
(2017).Analysis of two tracing traitor schemes via coding theory.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),1049584-92
DOI: 10.1007/978-3-319-66278-7_8
Scopus: 2-s2.0-85028543430

66. Tichavský, P., Phan, A.-H., Cichocki, A.
(2017).Non-orthogonal tensor diagonalization. Signal Processing,138313-320
DOI: 10.1016/j.sigpro.2017.04.001
Scopus: 2-s2.0-85017217771

67. Ostanin, I., Safonov, A., Oseledets, I.
(2017).Natural erosion of sandstone as shape optimisation. Scientific Reports,7(1) DOI: 10.1038/s41598-017-17777-1
Scopus: 2-s2.0-85044924062

68. Babenko, A., Lempitsky, V.
(2017).Product split trees. Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017,2017-6316-6324
DOI: 10.1109/CVPR.2017.669
Scopus: 2-s2.0-85040458659

69. Kuleshov, A., Bernstein, A., Burnaev, E.
(2017).Mobile robot localization via machine learning.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),10358276-290 DOI: 10.1007/978-3-319-62416-7_20
Scopus: 2-s2.0-85025129532

70. Shapeev, A.
(2017).Accurate representation of formation energies of crystalline alloys with many components. Computational Materials Science,13926-30
DOI: 10.1016/j.commatsci.2017.07.010
Scopus: 2-s2.0-85026488809

71. Kruglik, S., Frolov, A.
(2017).Bounds and constructions of codes with all-symbol locality and availability.
IEEE International Symposium on Information Theory - Proceedings,1023-1027
DOI: 10.1109/ISIT.2017.8006683
Scopus: 2-s2.0-85034023353

72. Xie, K., He, Z., Cichocki, A., Fang, X.
(2017).Rate of Convergence of the FOCUSS Algorithm. IEEE Transactions on Neural Networks and Learning Systems,28(6) 1276-1289
DOI: 10.1109/TNNLS.2016.2532358
Scopus: 2-s2.0-84960155651

73. Saucedo, A., Lefkimmiatis, S., Rangwala, N., Sung, K.
(2017).Improved Computational Efficiency of Locally Low Rank MRI Reconstruction Using Iterative Random Patch Adjustments.
IEEE Transactions on Medical Imaging,36(6) 1209-1220
DOI: 10.1109/TMI.2017.2659742
Scopus: 2-s2.0-85021424381

74. Yandex, A.B., Lempitsky, V.
(2017).AnnArbor: Approximate Nearest Neighbors Using Arborescence Coding.
Proceedings of the IEEE International Conference on Computer Vision,2017-4895-4903
DOI: 10.1109/ICCV.2017.523
Scopus: 2-s2.0-85041915658

75. Zagidullin, R.R., Smirnov, A.P., Matveev, S.A., Tyrtyshnikov, E.E.
(2017).An efficient numerical method for a mathematical model of a transport of coagulating particles. Moscow University Computational Mathematics and Cybernetics,41(4) 179-186
DOI: 10.3103/S0278641917040082
Scopus: 2-s2.0-85036612520

76. Yurchenko, V., Lempitsky, V.
(2017).Parsing images of overlapping organisms with deep singling-out networks. Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017,2017-4752-4760
DOI: 10.1109/CVPR.2017.505
Scopus: 2-s2.0-85044300308

77. Kuleshov, A., Bernstein, A.
(2017).Nonlinear multi-output regression on unknown input manifold. Annals of Mathematics and Artificial Intelligence,81(1-2) 209-240
DOI: 10.1007/s10472-017-9551-0
Scopus: 2-s2.0-85019211409

78. Fonarev, A., Hrinchuk, O., Gusev, G., Serdyukov, P., Oseledets, I.
(2017).Riemannian optimization for skip-gram negative sampling. ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers),12028-2036
DOI: 10.18653/v1/P17-1185
Scopus: 2-s2.0-85040935996

79. Kuleshov, A., Bernstein, A., Burnaev, E., Yanovich, Y.
(2017).Machine learning in appearance-based robot self-localization.
Proceedings - 16th IEEE International Conference on Machine Learning and Applications,2017-106-112
DOI: 10.1109/ICMLA.2017.0-171
Scopus: 2-s2.0-85046494570

80. Burnaev, E.V., Golubev, G.K.
(2017).On One Problem in Multichannel Signal Detection. Problems of Information Transmission,53(4) 368-380
DOI: 10.1134/S0032946017040056
Scopus: 2-s2.0-85041549792

81. Deshpande, G., Rangaprakash, D., Oeding, L., Cichocki, A., Hu, X.P.
(2017).A new generation of brain-computer interfaces driven by discovery of latent EEG-fMRI linkages using tensor decomposition.
Frontiers in Neuroscience,11
DOI: 10.3389/fnins.2017.00246
Scopus: 2-s2.0-85020739685

82. Ivanov, A., Lakontsev, D.
(2017).Selective tone reservation for PAPR reduction in wireless communication systems.
IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation,2017-
DOI: 10.1109/SiPS.2017.8110018
Scopus: 2-s2.0-85040576416

83. Kazeev, V., Oseledets, I., Rakhuba, M., Schwab, C.
(2017).QTT-finite-element approximation for multiscale problems I: model problems in one dimension. Advances in Computational Mathematics,43(2) 411-442
DOI: 10.1007/s10444-016-9491-y
Scopus: 2-s2.0-84995537918

84. Egorova, E., Fernandez, M., Kabatiansky, G.
(2017).Multimedia fingerprinting codes resistant against colluders and noise.
8th IEEE International Workshop on Information Forensics and Security, WIFS 2016,
DOI: 10.1109/WIFS.2016.7823904
Scopus: 2-s2.0-85014999782

85. Kuleshov, A., Bernstein, A., Yanovich, Y.
(2017).High-Dimensional Density Estimation for Data Mining Tasks.
IEEE International Conference on Data Mining Workshops, ICDMW,2017-523-530
DOI: 10.1109/ICDMW.2017.74
Scopus: 2-s2.0-85044028839

86. Bernstein, A.
(2017).Manifold learning in machine vision and robotics.
Proceedings of SPIE - The International Society for Optical Engineering,10253
DOI: 10.1117/12.2270550
Scopus: 2-s2.0-85019167042

87. Ivanov, A., Lakontsev, D.
(2017).Adaptable look-up tables for linearizing high power amplifiers.
2017 3rd International Conference on Frontiers of Signal Processing, ICFSP 2017,96-100
DOI: 10.1109/ICFSP.2017.8097149
Scopus: 2-s2.0-85039920676

88. Baranov, A., Burnaev, E., Derkach, D., Filatov, A., Klyuchnikov, N., Lantwin, O., Ratnikov, F., Ustyuzhanin, A., Zaitsev, A.
(2017).Optimising the Active Muon Shield for the SHiP Experiment at CERN.
Journal of Physics: Conference Series,934(1)
DOI: 10.1088/1742-6596/934/1/012050
Scopus: 2-s2.0-8503974709

89. Ratkova, E.L., Abramov, Y.A., Baskin, I.I., Livingstone, D.J., Fedorov, M.V., Withnall, M., Tetko, I.V.
(2017).Empirical and Physics-Based Calculations of Physical-Chemical Properties. Comprehensive Medicinal Chemistry III,3-8393-428
DOI: 10.1016/B978-0-12-409547-2.12341-8
Scopus: 2-s2.0-85044417142

90. Ostanin, I., Tsybulin, I., Litsarev, M., Oseledets, I., Zorin, D.
(2017).Scalable topology optimization with the kernel-independent fast multipole method.
Engineering Analysis with Boundary Elements,83123-132
DOI: 10.1016/j.enganabound.2017.07.020
Scopus: 2-s2.0-85026736356

91. Rivera, R., Burnaev, E.
(2017).Forecasting of commercial sales with large scale gaussian processes.
IEEE International Conference on Data Mining Workshops, ICDMW,2017-625-634
DOI: 10.1109/ICDMW.2017.89
Scopus: 2-s2.0-85044038636

92. Götze, F., Naumov, A.A., Tikhomirov, A.N.
(2017).Local laws for non-Hermitian random matrices.
Doklady Mathematics,96(3) 558-560
DOI: 10.1134/S1064562417060072
Scopus: 2-s2.0-85040031248

93. Fonarev, A., Mikhalev, A., Serdyukov, P., Gusev, G., Oseledets, I.
(2017).Efficient rectangular maximal-volume algorithm for rating elicitation in collaborative filtering. Proceedings - IEEE International Conference on Data Mining, ICDM,141-150
DOI: 10.1109/ICDM.2016.70
Scopus: 2-s2.0-85014550084

94. Ostanin, I.A., Zorin, D.N., Oseledets, I.V.
(2017).Fast topological-shape optimization with boundary elements in two dimensions.
Russian Journal of Numerical Analysis and Mathematical Modelling,32(2) 127-133
DOI: 10.1515/rnam-2017-0011
Scopus: 2-s2.0-85018422201

95. Phan, A.-H., Tichavský, P., Cichocki, A.
(2017).Blind source separation of single channel mixture using tensorization and tensor diagonalization.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),1016936-46
DOI: 10.1007/978-3-319-53547-0_4
Scopus: 2-s2.0-85013448377

96. Shapeev, A.V., Luskin, M.
(2017).Approximation of crystalline defects at finite temperature.
Multiscale Modeling and Simulation,15(4) 1830-1864
DOI: 10.1137/140994411
Scopus: 2-s2.0-85038943465

97. Bikov, E., Boyko, P., Sokolov, E., Yarotsky, D.
(2017).Railway incident ranking with machine learning.
Proceedings - 16th IEEE International Conference on Machine Learning and Applications, ICMLA 2017,2017-601-606
DOI: 10.1109/ICMLA.2017.00-95
Scopus: 2-s2.0-85048492598

98. Bernstein, A.
(2017).Machine vision and appearance based learning.
Proceedings of SPIE - The International Society for Optical Engineering,10341
DOI: 10.1117/12.2268723
Scopus: 2-s2.0-85029918216

99. Oseledets, I.V., Ovchinnikov, G.V., Katrutsa, A.M.
(2017).Fast, memory-efficient low-rank approximation of SimRank.
Journal of Complex Networks,5(1) 111-126
DOI: 10.1093/comnet/cnw008
Scopus: 2-s2.0-85023159446

100. Georgakis, I.P., Polimeridis, A.G.
(2017).Reduction of volume-volume integrals arising in galerkin JM-VIE formulations to surface-surface integrals.
2017 11th European Conference on Antennas and Propagation, EUCAP 2017,324-326
DOI: 10.23919/EuCAP.2017.7928104
Scopus: 2-s2.0-85020200684

101. Frolov, A., Zyablov, V.
(2017).On the multiple threshold decoding of LDPC codes over GF(q). Advances in Mathematics of Communications,11(1) 123-137
DOI: 10.3934/amc.2017007
Scopus: 2-s2.0-85012964795

102. Boyko, A.I., Oseledets, I.V., Gippius, N.A.
(2017).Towards solving lippmann-schwinger integral equation in 2D with polylogarithmic complexity with quantized tensor train decomposition.
Progress in Electromagnetics Research Symposium,2329-2333
DOI: 10.1109/PIERS.2017.8262141
Scopus: 2-s2.0-85044940263

103. Ostanin, I., Zorin, D., Oseledets, I.
(2017).Parallel optimization with boundary elements and kernel independent fast multipole method. International Journal of Computational Methods and Experimental Measurements,5(2) 154-162
DOI: 10.2495/CMEM-V5-N2-154-162
Scopus: 2-s2.0-85070220576

104. Somov, A., Alonso, E.T., Craciun, M.F., Neves, A.I.S., Baldycheva, A.
(2017).Smart textile: Exploration of wireless sensing capabilities.
Proceedings of IEEE Sensors,2017-1-3
DOI: 10.1109/ICSENS.2017.8234058
Scopus: 2-s2.0-85044312243

105. Khrulkov, V., Rakhuba, M., Oseledets, I.
(2017).Vico-Greengard-Ferrando quadratures in the tensor solver for integral equations.
Progress in Electromagnetics Research Symposium,2334-2339
DOI: 10.1109/PIERS.2017.8262142
Scopus: 2-s2.0-85044949993

106. Kuzmin, A., Vakhitov, A., Lempitsky, V.
(2017).Set2Model Networks: Learning Discriminatively to Learn Generative Models.
Proceedings - 2017 IEEE International Conference on Computer Vision Workshops,2018-357-366
DOI: 10.1109/ICCVW.2017.50
Scopus: 2-s2.0-85046252776
107. Lotte, F., Bougrain, L., Cichocki, A., Clerc, M., Congedo, M., Rakotomamonjy, A., Yger, F.
(2018).A review of classification algorithms for EEG-based brain-computer interfaces: A 10 year update.
Journal of Neural Engineering,15(3)
DOI: 10.1088/1741-2552/aab2f2
Scopus: 2-s2.0-85040605067

108. Zhang, Y., Wang, Y., Zhou, G., Jin, J., Wang, B., Wang, X., Cichocki, A.
(2018).Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces.
Expert Systems with Applications,96302-310
DOI: 10.1016/j.eswa.2017.12.015
Scopus: 2-s2.0-85037995052

109. Lefkimmiatis, S.
(2018).Universal Denoising Networks : A Novel CNN Architecture for Image Denoising.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition,3204-3213
DOI: 10.1109/CVPR.2018.00338
Scopus: 2-s2.0-85055687244

110. Lempitsky, V., Vedaldi, A., Ulyanov, D.
(2018).Deep Image Prior. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition,9446-9454
DOI: 10.1109/CVPR.2018.00984
Scopus: 2-s2.0-85062852633

111. Coles, S.W., Smith, A.M., Fedorov, M.V., Hausen, F., Perkin, S.
(2018).Interfacial structure and structural forces in mixtures of ionic liquid with a polar solvent. Faraday Discussions,206427-442
DOI: 10.1039/c7fd00168a
Scopus: 2-s2.0-85038382074

112. Kostyukevich, Y., Acter, T., Zherebker, A., Ahmed, A., Kim, S., Nikolaev, E. (2018).Hydrogen/deuterium exchange in mass spectrometry. Mass Spectrometry Reviews,37(6) 811-853
DOI: 10.1002/mas.21565
Scopus: 2-s2.0-85044764295

113. Liotti, E., Arteta, C., Zisserman, A., Lui, A., Lempitsky, V., Grant, P.S.
(2018).Crystal nucleation in metallic alloys using x-ray radiography and machine learning. Science Advances,4(4)
DOI: 10.1126/sciadv.aar4004
Scopus: 2-s2.0-85045761353

114. Somov, A., Shadrin, D., Fastovets, I., Nikitin, A., Matveev, S., Seledets, I., Hrinchuk, O. (2018).Pervasive Agriculture: IoT-Enabled Greenhouse for Plant Growth Control. IEEE Pervasive Computing,17(4) 65-75
DOI: 10.1109/MPRV.2018.2873849
Scopus: 2-s2.0-85061193015

115. Khrulkov, V., Novikov, A., Oseledets, I.
(2018).Expressive power of recurrent neural networks. 6th International Conference on Learning Representations, ICLR 2018 - Conference Track Proceedings,
Scopus: 2-s2.0-85083953194

116. Lee, N., Cichocki, A.
(2018).Fundamental tensor operations for large-scale data analysis using tensor network formats. Multidimensional Systems and Signal Processing,29(3) 921-960
DOI: 10.1007/s11045-017-0481-0
Scopus: 2-s2.0-85014631253

117. Notchenko, A., Kapushev, Y., Burnaev, E.
(2018).Large-scale shape retrieval with sparse 3D convolutional neural networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),10716245-254
DOI: 10.1007/978-3-319-73013-4_23
Scopus: 2-s2.0-85039415433

118. Ulyanov, D., Vedaldi, A., Lempitsky, V.
(2018).It takes (only) two: Adversarial generator-encoder networks. 32nd AAAI Conference on Artificial Intelligence, AAAI 2018,1250-1257
Scopus: 2-s2.0-85060493242

119. Matveev, S.A., Stadnichuk, V.I., Tyrtyshnikov, E.E., Smirnov, A.P., Ampilogova, N.V., Brilliantov, N.V.
(2018).Anderson acceleration method of finding steady-state particle size distribution for a wide class of aggregation–fragmentation models. Computer Physics Communications,224154-163
DOI: 10.1016/j.cpc.2017.11.002
Scopus: 2-s2.0-85035239960

120. Novikov, G., Trekin, A., Potapov, G., Ignatiev, V., Burnaev, E.
(2018).Satellite imagery analysis for operational damage assessment in emergency situations. Lecture Notes in Business Information Processing,320347-358
DOI: 10.1007/978-3-319-93931-5_25
Scopus: 2-s2.0-85050644228

121. Velichkovsky, B.M., Krotkova, O.A., Kotov, A.A., Orlov, V.A., Verkhlyutov, V.M., Ushakov, V.L., Sharaev, M.G.
(2018).Consciousness in a multilevel architecture: Evidence from the right side of the brain. Consciousness and Cognition,64227-239
DOI: 10.1016/j.concog.2018.06.004
Scopus: 2-s2.0-85048257963

122. Burmistrov, V., Morisseau, C., Pitushkin, D., Karlov, D., Fayzullin, R.R., Butov, G.M., Hammock, B.D.
(2018).Adamantyl thioureas as soluble epoxide hydrolase inhibitors. Bioorganic and Medicinal Chemistry Letters,28(13) 2302-2313
DOI: 10.1016/j.bmcl.2018.05.024
Scopus: 2-s2.0-85047355691

123. Martín-Clemente, R., Olias, J., Thiyam, D.B., Cichocki, A., Cruces, S.
(2018).Information theoretic approaches for motor-imagery BCI systems: Review and experimental comparison. Entropy,20(1)
DOI: 10.3390/e20010007
Scopus: 2-s2.0-85040547475

124. Pukalchik, M., Mercl, F., Terekhova, V., Tlustoš, P.
(2018).Biochar, wood ash and humic substances mitigating trace elements stress in contaminated sandy loam soil: Evidence from an integrative approach. Chemosphere,203228-238
DOI: 10.1016/j.chemosphere.2018.03.181
Scopus: 2-s2.0-85047437679

125. Tsvetkov, V.B., Zatsepin, T.S., Belyaev, E.S., Kostyukevich, Y.I., Shpakovski, G.V., Podgorsky, V.V., Pozmogova, G.E., Varizhuk, A.M., Aralov, A.V.
(2018).I-Clamp phenoxazine for the fine tuning of DNA i-motif stability. Nucleic Acids Research,46(6) 2751-2764
DOI: 10.1093/nar/gky121
Scopus: 2-s2.0-85049157791

126. Kostyukevich, Y., Vlaskin, M., Borisova, L., Zherebker, A., Perminova, I., Kononikhin, A., Popov, I., Nikolaev, E.
(2018).Investigation of bio-oil produced by hydrothermal liquefaction of food waste using ultrahigh resolution Fourier transform ion cyclotron resonance mass spectrometry. European Journal of Mass Spectrometry,24(1) 116-123
DOI: 10.1177/1469066717737904
Scopus: 2-s2.0-85040935077

127. Yanovich, Y., Shiyanov, I., Myaldzin, T., Prokhorov, I., Korepanova, D., Vorobyov, S. (2018).Blockchain-based supply chain for postage stamps. Informatics,5(4)
DOI: 10.3390/informatics5040042
Scopus: 2-s2.0-85061243053

128. Pavlov, A.L., Ovchinnikov, G.W.V., Derbyshev, D.Y., Tsetserukou, D., Oseledets, I.V.
(2018).AA-ICP: Iterative closest point with anderson acceleration. Proceedings - IEEE International Conference on Robotics and Automation,3407-3412
DOI: 10.1109/ICRA.2018.8461063
Scopus: 2-s2.0-85062625876

129. Sosnin, S., Misin, M., Palmer, D.S., Fedorov, M.V.
(2018).3D matters! 3D-RISM and 3D convolutional neural network for accurate bioaccumulation prediction. Journal of Physics Condensed Matter,30(32)
DOI: 10.1088/1361-648X/aad076
Scopus: 2-s2.0-85050737689

130. Shadrin, D., Somov, A., Podladchikova, T., Gerzer, R.
(2018).Pervasive agriculture: Measuring and predicting plant growth using statistics and 2D/3D imaging. I2MTC 2018 - 2018 IEEE International Instrumentation and Measurement Technology Conference: Discovering New Horizons in Instrumentation and Measurement, Proceedings,1-6
DOI: 10.1109/I2MTC.2018.8409700
Scopus: 2-s2.0-85050748485

131. Savelieva, E.M., Oslovsky, V.E., Karlov, D.S., Kurochkin, N.N., Getman, I.A., Lomin, S.N., Sidorov, G.V., Mikhailov, S.N., Osolodkin, D.I., Romanov, G.A.
(2018).Cytokinin activity of N6-benzyladenine derivatives assayed by interaction with the receptors in planta, in vitro, and in silico. Phytochemistry,149161-177
DOI: 10.1016/j.phytochem.2018.02.008
Scopus: 2-s2.0-85043459790

132. Cichocki, A.
(2018).Tensor networks for dimensionality reduction, big data and deep learning. Studies in Computational Intelligence,7383-49
DOI: 10.1007/978-3-319-67946-4_1
Scopus: 2-s2.0-85030123675

133. Osin, V., Cichocki, A., Burnaev, E.
(2018).Fast multispectral deep fusion networks. Bulletin of the Polish Academy of Sciences: Technical Sciences,875-889
DOI: 10.24425/bpas.2018.125935
Scopus: 2-s2.0-85060700622

134. Cao, W., Wang, K., Han, G., Yao, J., Cichocki, A.
(2018).A robust PCA approach with noise structure learning and spatial-spectral low-rank modeling for hyperspectral image restoration. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,11(10) 3863-3879 DOI: 10.1109/JSTARS.2018.2866815
Scopus: 2-s2.0-85052877939

135. Khrulkov, V., Oseledets, I.
(2018).Art of Singular Vectors and Universal Adversarial Perturbations. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition,8562-8570
DOI: 10.1109/CVPR.2018.00893
Scopus: 2-s2.0-85062888611

136. Appriou, A., Cichocki, A., Lotte, F.
(2018).Towards robust neuroadaptive HCI: Exploring modern machine learning methods to estimate mental workload from EEG signals. Conference on Human Factors in Computing Systems - Proceedings,2018-
DOI: 10.1145/3170427.3188617
Scopus: 2-s2.0-85052023457

137. Glebov, A., Medova, L., Rybin, P., Frolov, A.
(2018).On LDPC Code Based Massive Random-Access Scheme for the Gaussian Multiple Access Channel. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),11118162-171
DOI: 10.1007/978-3-030-01168-0_15
Scopus: 2-s2.0-85054792243

138. Kostyukevich, Y., Zherebker, A., Vlaskin, M.S., Borisova, L., Nikolaev, E.
(2018).Microprobe for the Thermal Analysis of Crude Oil Coupled to Photoionization Fourier Transform Mass Spectrometry. Analytical Chemistry,90(15) 8756-8763
DOI: 10.1021/acs.analchem.8b02043
Scopus: 2-s2.0-85049850859

139. Kostyukevich, Y., Nikolaev, E.
(2018).Ion Source Multiplexing on a Single Mass Spectrometer. Analytical Chemistry,90(5) 3576-3583
DOI: 10.1021/acs.analchem.8b00027
Scopus: 2-s2.0-85043272426

140. Kokkinos, F., Lefkimmiatis, S.
(2018).Deep image demosaicking using a cascade of convolutional residual denoising networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),11218317-333
DOI: 10.1007/978-3-030-01264-9_19
Scopus: 2-s2.0-85055704236

141. Munkhoeva, M., Kapushev, Y., Burnaev, E., Oseledets, I.
(2018).Quadrature-based features for kernel approximation. Advances in Neural Information Processing Systems,2018-9147-9156
Scopus: 2-s2.0-85064821577

142. Ostanin, I., Ovchinnikov, G., Tozoni, D.C., Zorin, D.
(2018).A parametric class of composites with a large achievable range of effective elastic properties. Journal of the Mechanics and Physics of Solids,118204-217
DOI: 10.1016/j.jmps.2018.05.018
Scopus: 2-s2.0-85047879344

143. Ivanov, S., Burnaev, E.
(2018).Anonymous walk embeddings.
35th International Conference on Machine Learning, ICML 2018,53448-3457
Scopus: 2-s2.0-85057237582

144. Lin, J.-W., Chen, W., Shen, C.-P., Chiu, M.-J., Kao, Y.-H., Lai, F., Zhao, Q., Cichocki, A. (2018).Visualization and Sonification of Long-Term Epilepsy Electroencephalogram Monitoring. Journal of Medical and Biological Engineering,38(6) 943-952
DOI: 10.1007/s40846-017-0358-6 Scopus: 2-s2.0-85056426112

145. Ostanin, I.A., Zhilyaev, P., Petrov, V., Dumitrica, T., Eibl, S., Ruede, U., Kuzkin, V.A. (2018).Toward large scale modeling of carbon nanotube systems with the mesoscopic distinct element method. Letters on Materials,8(3) 240-245
DOI: 10.22226/2410-3535-2018-3-240-245
Scopus: 2-s2.0-85053635004

146. Rivera, R., Nazarov, I., Burnaev, E.
(2018).Towards forecast techniques for business analysts of large commercial data sets using matrix factorization methods. Journal of Physics: Conference Series,1117(1)
DOI: 10.1088/1742-6596/1117/1/012010
Scopus: 2-s2.0-85058291962

147. Ivanov, A., Yarotsky, D., Stoliarenko, M., Frolov, A.
(2018).Smart Sorting in Massive MIMO Detection.
International Conference on Wireless and Mobile Computing, Networking and Communications,2018-
DOI: 10.1109/WiMOB.2018.8589084
Scopus: 2-s2.0-85060808693

148. Lebedev, V., Lempitsky, V.
(2018).Speeding-up convolutional neural networks: A survey.
Bulletin of the Polish Academy of Sciences: Technical Sciences,799-810
DOI: 10.24425/bpas.2018.125927
Scopus: 2-s2.0-85060694036

149. Somov, A., Gotovtsev, P., Dyakov, A., Alenicheva, A., Plehanova, Y., Tarasov, S., Reshetilov, A. (2018).Bacteria to power the smart sensor applications: Biofuel cell for low-power IoT devices.
IEEE World Forum on Internet of Things, WF-IoT 2018 - Proceedings,2018-802-806
DOI: 10.1109/WF-IoT.2018.8355172
Scopus: 2-s2.0-85050463878

150. Brilliantov, N.V., Otieno, W., Matveev, S.A., Smirnov, A.P., Tyrtyshnikov, E.E., Krapivsky, P.L. (2018).Steady oscillations in aggregation-fragmentation processes.
Physical Review E,98(1)
DOI: 10.1103/PhysRevE.98.012109
Scopus: 2-s2.0-85050157717

151. Solé-Casals, J., Caiafa, C.F., Zhao, Q., Cichocki, A.
(2018).Brain-Computer Interface with Corrupted EEG Data: a Tensor Completion Approach. Cognitive Computation,10(6) 1062-1074 DOI: 10.1007/s12559-018-9574-9
Scopus: 2-s2.0-85049604521

152. Mikhalev, A., Oseledets, I.V.
(2018).Rectangular maximum-volume submatrices and their applications. Linear Algebra and Its Applications,538187-211 DOI: 10.1016/j.laa.2017.10.014
Scopus: 2-s2.0-85032201215

153. Tsymbalov, E., Panov, M., Shapeev, A.
(2018).Dropout-based active learning for regression. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),11179247-258 DOI: 10.1007/978-3-030-11027-7_24
Scopus: 2-s2.0-85059943627

154. Zherebker, A., Shirshin, E., Kharybin, O., Kostyukevich, Y., Kononikhin, A., Konstantinov, A.I., Volkov, D., Roznyatovsky, V.A., Grishin, Y.K., Perminova, I.V., Nikolaev, E.
(2018).Separation of Benzoic and Unconjugated Acidic Components of Leonardite Humic Material Using Sequential Solid-Phase Extraction at Different pH Values as Revealed by Fourier Transform Ion Cyclotron Resonance Mass Spectrometry and Correlation Nuclear Magnetic Resonance Spectroscopy. Journal of Agricultural and Food Chemistry,66(46) 12179-12187 DOI: 10.1021/acs.jafc.8b04079
Scopus: 2-s2.0-85056802275

155. Ivanov, A., Kruglik, S., Lakontsev, D.
(2018).Cloud MIMO for smart parking system. IEEE Vehicular Technology Conference,2018-1-4 DOI: 10.1109/VTCSpring.2018.8417758
Scopus: 2-s2.0-85050964431

156. Sharaev, M., Andreev, A., Artemov, A., Burnaev, E., Kondratyeva, E., Sushchinskaya, S., Samotaeva, I., Gaskin, V., Bernstein, A.
(2018).Pattern recognition pipeline for neuroimaging data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),11081306-319 DOI: 10.1007/978-3-319-99978-4_24
Scopus: 2-s2.0-85053602926

157. Zhu, L., Lotte, F., Cui, G., Li, J., Zhou, C., Cichocki, A.
(2018).Neural mechanisms of social emotion perception: An EEG hyper-scanning study.
Proceedings - 2018 International Conference on Cyberworlds, CW 2018,199-206
DOI: 10.1109/CW.2018.00045
Scopus: 2-s2.0-85061425441

158. Kislenko, S.A., Moroz, Y.O., Karu, K., Ivaništšev, V.B., Fedorov, M.V.
(2018).Calculating the Maximum Density of the Surface Packing of Ions in Ionic Liquids.
Russian Journal of Physical Chemistry A,92(5) 999-1005
DOI: 10.1134/S0036024418050187
Scopus: 2-s2.0-85045766229

159. Sushnikova, D.A., Oseledets, I.V.
(2018)."Compress and eliminate" solver for symmetric positive definite sparse matrices.
SIAM Journal on Scientific Computing,40(3) A1742-A1762
DOI: 10.1137/16M1068487
Scopus: 2-s2.0-85049474283

160. Elgendi, M., Kumar, P., Barbic, S., Howard, N., Abbott, D., Cichocki, A.
(2018).Subliminal priming—state of the art and future perspectives.
Behavioral Sciences,8(6)
DOI: 10.3390/bs8060054
Scopus: 2-s2.0-85063151864

161. Xu, X., Wu, Q., Wang, S., Liu, J., Sun, J., Cichocki, A.
(2018).Whole Brain fMRI Pattern Analysis Based on Tensor Neural Network.
IEEE Access,629297-29305
DOI: 10.1109/ACCESS.2018.2815770
Scopus: 2-s2.0-85044088826

162. Sochenkov, I., Zubarev, D., Tikhomirov, I.
(2018).Exploratory patent search.
Informatika i ee Primeneniya,12(1) 89-94
DOI: 10.14357/19922264180111
Scopus: 2-s2.0-85047063379

163. Burkov, E., Lempitsky, V.
(2018).Deep neural networks with box convolutions.
Advances in Neural Information Processing Systems,2018-6211-6221
Scopus: 2-s2.0-85064840440

164. Bernstein, A.V., Burnaev, E.V., Kachan, O.N.
(2018).Reinforcement learning for computer vision and robot navigation.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),10935258-272
DOI: 10.1007/978-3-319-96133-0_20
Scopus: 2-s2.0-85050469792

165. Vlaskin, M.S., Grigorenko, A.V., Kostyukevich, Y.I., Nikolaev, E.N., Vladimirov, G.N., Chernova, N.I., Kiseleva, S.V., Popel, O.S., Zhuk, A.Z.
(2018).Influence of solvent on the yield and chemical composition of liquid products of hydrothermal liquefaction of Arthrospira platensis as revealed by Fourier transform ion cyclotron resonance mass spectrometry.
European Journal of Mass Spectrometry,24(5) 363-374
DOI: 10.1177/1469066718771209
Scopus: 2-s2.0-85053774908

166. Zhao, Q., Sugiyama, M., Yuan, L., Cichocki, A.
(2018).Learning efficient tensor representations with ring structure networks. 6th International Conference on Learning Representations, ICLR 2018 - Workshop Track Proceedings,
Scopus: 2-s2.0-85083953065

167. Kruglik, S., Dudina, M., Potapova, V., Frolov, A.
(2018).On one generalization of LRC codes with availability.
IEEE International Symposium on Information Theory - Proceedings,2018-26-30
DOI: 10.1109/ITW.2017.8277989
Scopus: 2-s2.0-85046348537

168. Panov, M., Slavnov, K., Ushakov, R.
(2018).Consistent estimation of mixed memberships with successive projections.
Studies in Computational Intelligence,68953-64
DOI: 10.1007/978-3-319-72150-7_5
Scopus: 2-s2.0-85036641422

169. Naumov, A.A., Spokoiny, V.G., Ulyanov, V.V.
(2018).Confidence Sets for Spectral Projectors of Covariance Matrices.
Doklady Mathematics,98(2) 511-514
DOI: 10.1134/S1064562418060285
Scopus: 2-s2.0-85056353071

170. Simonov, M., Akhmetov, A., Temirchev, P., Koroteev, D., Kostoev, R., Burnaev, E., Oseledets, I.
(2018).Application of machine learning technologies for rapid 3D modelling of inflow to the well in the development system.
Society of Petroleum Engineers - SPE Russian Petroleum Technology Conference 2018, RPTC 2018,
DOI: 10.2118/191593-18rptc-ms
Scopus: 2-s2.0-85088764172

171. Morales, M.E.S., Tlyachev, T., Biamonte, J.
(2018).Variational learning of Grover's quantum search algorithm.
Physical Review A,98(6)
DOI: 10.1103/PhysRevA.98.062333
Scopus: 2-s2.0-85059424558

172. Kostyukevich, Y., Kononikhin, A., Popov, I., Nikolaev, E.
(2018).Analytical Description of the H/D Exchange Kinetic of Macromolecule.
Analytical Chemistry,90(8) 5116-5121
DOI: 10.1021/acs.analchem.7b05151
Scopus: 2-s2.0-85045652248

173. Smolyakov, D., Sviridenko, N., Burikov, E., Burnaev, E.
(2018).Anomaly pattern recognition with privileged information for sensor fault detection.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),11081320-332
DOI: 10.1007/978-3-319-99978-4_25
Scopus: 2-s2.0-85053619053

174. Novikov, A., Trofimov, M., Oseledets, I.
(2018).Exponential machines.
Bulletin of the Polish Academy of Sciences: Technical Sciences,789-797
DOI: 10.24425/bpas.2018.125926
Scopus: 2-s2.0-85060683422

175. Vlaskin, M.S., Kostyukevich, Y.I., Vladimirov, G.N., Chernova, N.I., Kiseleva, S.V., Grigorenko, A.V., Nikolaev, E.N., Popel, O.S., Zhuk, A.Z.
(2018).Chemical Composition of Bio-oil Obtained via Hydrothermal Liquefaction of Arthrospira platensis Biomass.
High Temperature,56(6) 915-920
DOI: 10.1134/S0018151X18060263
Scopus: 2-s2.0-85059446024

176. Ruijter, M., Kharin, Rykovanov, S.G.
(2018).Analytical solutions for nonlinear Thomson scattering including radiation reaction.
Journal of Physics B: Atomic, Molecular and Optical Physics,51(22)
DOI: 10.1088/1361-6455/aae6e9
Scopus: 2-s2.0-85056145833

177. Burgess, S., Vishnyakov, A., Tsovko, C., Neimark, A.V.
(2018).Nanoparticle-Engendered Rupture of Lipid Membranes.
Journal of Physical Chemistry Letters,9(17) 4872-4877
DOI: 10.1021/acs.jpclett.8b01696
Scopus: 2-s2.0-85052338098

178. Kostyukevich, Y., Ovchinnikov, G., Kononikhin, A., Popov, I., Oseledets, I., Nikolaev, E. (2018).Thermal dissociation and H/D exchange of streptavidin tetramers at atmospheric pressure. International Journal of Mass Spectrometry,427100-106
DOI: 10.1016/j.ijms.2017.11.002
Scopus: 2-s2.0-85032975583

179. Matveev, S.A., Zagidullin, R.R., Smirnov, A.P., Tyrtyshnikov, E.E.
(2018).Parallel numerical algorithm for solving advection equation for coagulating particles. Supercomputing Frontiers and Innovations,5(2) 43-54
DOI: 10.14529/jsfi180204
Scopus: 2-s2.0-85050094339

180. Kononenko, D., Ganin, Y., Sungatullina, D., Lempitsky, V.
(2018).Photorealistic Monocular Gaze Redirection Using Machine Learning.
IEEE Transactions on Pattern Analysis and Machine Intelligence,40(11) 2696-2710
DOI: 10.1109/TPAMI.2017.2737423
Scopus: 2-s2.0-85028454003

181. Kanin, E., Vainshtein, A., Osiptsov, A., Burnaev, E.
(2018).The method of calculation the pressure gradient in multiphase flow in the pipe segment based on the machine learning algorithms.
IOP Conference Series: Earth and Environmental Science,193(1)
DOI: 10.1088/1755-1315/193/1/012028
Scopus: 2-s2.0-85056469150

182. Kuleshov, A., Bernstein, A., Burnaev, E.
(2018).Manifold learning regression with non-stationary kernels.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),11081152-164
DOI: 10.1007/978-3-319-99978-4_12
Scopus: 2-s2.0-85053601953

183. Qiu, Y., Zhou, G., Zhao, Q., Cichocki, A.
(2018).Comparative Study on the classification methods for breast cancer diagnosis.
Bulletin of the Polish Academy of Sciences: Technical Sciences,841-848
DOI: 10.24425/bpas.2018.125931
Scopus: 2-s2.0-85060679683

184. Vakhitov, A., Lempitsky, V., Zheng, Y.
(2018).Stereo relative pose from line and point feature triplets. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),11212662-677
DOI: 10.1007/978-3-030-01237-3_40
Scopus: 2-s2.0-85055458413

185. Kostyukevich, Y.I., Kononikhin, A.S., Popov, I.A., Nikolaev, E.N.
(2018).Structural Investigation of Biomacromolecules Using Ultrahigh-Resolution Mass Spectrometry and Isotope Exchange.
Russian Journal of Physical Chemistry B,12(4) 599-604
DOI: 10.1134/S1990793118040243
Scopus: 2-s2.0-85054130293

186. Dyachkov, A., Polyanskii, N., Shchukin, V., Vorobyev, I.
(2018).Separable Codes for the Symmetric Multiple-Access Channel.
IEEE International Symposium on Information Theory - Proceedings,2018-291-295
DOI: 10.1109/ISIT.2018.8437801
Scopus: 2-s2.0-85052438599

187. Mirvakhabova, L., Pukalchik, M., Matveev, S., Tregubova, P., Oseledets, I.
(2018).Field heterogeneity detection based on the modified FastICA RGB-image processing.
Journal of Physics: Conference Series,1117(1)
DOI: 10.1088/1742-6596/1117/1/012009
Scopus: 2-s2.0-85058271398

188. Zhu, D., Duarte-Rabelo, I., Ayala-Garcia, I.N., Somov, A.
(2018).An electromagnetic in-shoe energy harvester using wave springs.
Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018,659-663
DOI: 10.1109/ICPHYS.2018.8390785
Scopus: 2-s2.0-85050097552

189. Tambova, A.A., Litsarev, M.S., Guryev, G., Polimeridis, A.G.
(2018).On the Generalization of DIRECTFN for Singular Integrals over Quadrilateral Patches. IEEE Transactions on Antennas and Propagation,66(1) 304-314
DOI: 10.1109/TAP.2017.2776341
Scopus: 2-s2.0-85035791039

190. Yu, J., Zhou, G., Cichocki, A., Xie, S.
(2018).Learning the hierarchical parts of objects by deep non-smooth nonnegative matrix factorization. IEEE Access,658096-58105
DOI: 10.1109/ACCESS.2018.2873385
Scopus: 2-s2.0-85054512606

191. Baez, J., Biamonte, J.D.
(2018).Quantum techniques in stochastic mechanics.
Quantum Techniques In Stochastic Mechanics,1-263
Scopus: 2-s2.0-85046461237

192. Wang, X., Marcotte, R., Ferrer, G., Olson, E.
(2018).ApriISAM: Real-time smoothing and mapping. Proceedings - IEEE International Conference on Robotics and Automation,2486-2493
DOI: 10.1109/ICRA.2018.8461072
Scopus: 2-s2.0-85063130064

193. Ivanov, A., Volokhatyi, A., Lakontsev, D., Yarotsky, D.
(2018).Unused Beam Reservation for PAPR Reduction in Massive MIMO System. IEEE Vehicular Technology Conference,2018-1-5
DOI: 10.1109/VTCSpring.2018.8417537
Scopus: 2-s2.0-85050985762

194. Yadrintsev, V., Bakarov, A., Suvorov, R., Sochenkov, I.
(2018).Fast and Accurate Patent Classification in Search Engines. Journal of Physics: Conference Series,1117(1)
DOI: 10.1088/1742-6596/1117/1/012004
Scopus: 2-s2.0-85058296117

195. Muravleva, E., Oseledets, I., Koroteev, D.
(2018).Application of machine learning to viscoplastic flow modeling.
Physics of Fluids,30(10)
DOI: 10.1063/1.5058127
Scopus: 2-s2.0-85055127312

196. Khrulkov, V., Oseledets, I.
(2018).Desingularization of bounded-rank matrix sets.
SIAM Journal on Matrix Analysis and Applications,39(1) 451-471
DOI: 10.1137/16M1108194
Scopus: 2-s2.0-85045752914

197. Nerut, E.R., Karu, K., Voroshylova, I.V., Kirchner, K., Kirchner, T., Fedorov, M.V., Ivaništšev, V.B.
(2018).NaRIBaS-a scripting framework for computational modeling of Nanomaterials and Room Temperature Ionic Liquids in Bulk and Slab.
DOI: 10.3390/computation6040057
Scopus: 2-s2.0-85059223759

198. Kachan, O.N., Yanovich, Y.A., Abramov, E.N.
(2018).Alignment of vector fields on manifolds via contraction mappings.
Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki,160(2) 300-308
Scopus: 2-s2.0-85087796243

199. Pimanov, V., Oseledets, I.
(2018).Robust topology optimization using a posteriori error estimator for the finite element method. Structural and Multidisciplinary Optimization,58(4) 1619-1632
DOI: 10.1007/s00158-018-1985-4
Scopus: 2-s2.0-85045681921

200. Sungatullina, D., Zakharov, E., Ulyanov, D., Lempitsky, V.
(2018).Image manipulation with perceptual discriminators.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),11210587-602
DOI: 10.1007/978-3-030-01231-1_36
Scopus: 2-s2.0-85055099042

201. Vlaskin, M.S., Kostyukevich, Y.I., Vladimirov, G.N., Gaykovich, M.V., Dudoladov, A.O., Chernova, N.I., Kiseleva, S.V., Zhuk, A.Z., Popel, O.S., Nikolaev, E.N.
(2018).Chemical Composition of Bio-oil Produced by Hydrothermal Liquefaction of Microalgae with Different Lipid Content.
IOP Conference Series: Earth and Environmental Science,159(1)
DOI: 10.1088/1755-1315/159/1/012004
Scopus: 2-s2.0-85049376395

202. Ivanov, F., Rybin, P.
(2018).Signal-code construction based on interleaved reed-solomon codes for multiple access system over vector-disjunctive channel.
2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018 - Proceedings,1-5
DOI: 10.1109/ICCW.2018.8403615
Scopus: 2-s2.0-85050285031

203. Khrulkov, V., Oseledets, I.
(2018).Geometry score: A method for comparing generative adversarial networks.
35th International Conference on Machine Learning, ICML 2018,64114-4122
Scopus: 2-s2.0-85057267157

204. Kolesnikov, D.A., Oseledets, I.V.
(2018).Convergence analysis of projected fixed-point iteration on a low-rank matrix manifold. Numerical Linear Algebra with Applications,25(5)
DOI: 10.1002/nla.2140
Scopus: 2-s2.0-85043702569

205. Bernstein, A., Renat, A., Kondrateva, E., Sushchinskaya, S., Samotaeva, I., Gaskin, V.
(2018).MRI brain imagery processing software in data analysis. Advances in Mass Data Analysis of Images and Signals with Applications in Medicine, r/g/b Biotechnology, Food Industries, Dietetics, Biometry and Security, Agriculture, Drug Discover, and System Biology - 13th International Conference, MDA 2018, Proceedings,60-74
Scopus: 2-s2.0-85062887241

206. Giannakopoulos, I.I., Litsarev, M.S., Polimeridis, A.G.
(2018).3D Cross-Tucker Approximation in FFT- Based Volume Integral Equation Methods. 2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings,2507-2508 DOI: 10.1109/APUSNCURSINRSM.2018.8608283
Scopus: 2-s2.0-85061915590

207. Kruglik, S., Nazirkhanova, K., Frolov, A.
(2018).On Distance Properties of (r, t,x)-LRC Codes.
IEEE International Symposium on Information Theory - Proceedings,2018-1336-1339
DOI: 10.1109/ISIT.2018.8437738
Scopus: 2-s2.0-85052452338

208. Silin, I., Spokoiny, V.
(2018). Bayesian inference for spectral projectors of the covariance matrix.
Electronic Journal of Statistics,12(1) 1948-1987
DOI: 10.1214/18-EJS1451
Scopus: 2-s2.0-85052321165

209. Bernstein, A.V., Burnaev, E.V.
(2018).Reinforcement learning in computer vision. Proceedings of SPIE - The International Society for Optical Engineering,10696
DOI: 10.1117/12.2309945
Scopus: 2-s2.0-85046460207

210. Kruglik, S., Potapova, V., Frolov, A.
(2018).On performance of multilevel coding schemes based on non-binary LDPC codes.
24th European Wireless 2018 "Wireless Futures in the Era of Network Programmability", EW 2018,221-224
Scopus: 2-s2.0-85050019299

211. Mehta, D., Ferrer, G., Olson, E.
(2018).Backprop-MPDM: Faster Risk-Aware Policy Evaluation Through Efficient Gradient Optimization.
Proceedings - IEEE International Conference on Robotics and Automation,1740-1746 DOI: 10.1109/ICRA.2018.8462903
Scopus: 2-s2.0-85062954316

212. Bakarov, A., Yadrintsev, V., Sochenkov, I.
(2018).Anomaly detection for short texts: Identifying whether your chatbot should switch from goal-oriented conversation to chit-chatting.
Communications in Computer and Information Science,859289-298
DOI: 10.1007/978-3-030-02846-6_23
Scopus: 2-s2.0-85057081190

213. Abramov, E.N., Yanovich, Y.A.
(2018).Estimation of smooth vector fields on manifolds by optimization on stiefel group.
Uchenye Zapiski Kazanskogo Universiteta.
Seriya Fiziko-Matematicheskie Nauki,160(2) 220-228
Scopus: 2-s2.0-85087795868

214. Verkhlyutov, V., Sharaev, M., Balaev, V., Osadtchi, A., Ushakov, V., Skiteva, L., Velichkovsky, B. (2018).Towards localization of radial traveling waves in the evoked and spontaneous MEG: A solution based on the intra-cortical propagation hypothesis.
Procedia Computer Science,145617-622
DOI: 10.1016/j.procs.2018.11.073
Scopus: 2-s2.0-85059452375

215. Kharyuk, P., Nazarenko, D., Oseledets, I., Rodin, I., Shpigun, O., Tsitsilin, A., Lavrentyev, M. (2018).Employing fingerprinting of medicinal plants by means of LC-MS and machine learning for species identification task.
Scientific Reports,8(1)
DOI: 10.1038/s41598-018-35399-z
Scopus: 2-s2.0-85056716539

216. Kostyukevich, Y., Bugrova, A., Chagovets, V., Brzhozovskiy, A., Indeykina, M., Vanyushkina, A., Zherebker, A., Mitina, A., Kononikhin, A., Popov, I., Khaitovich, P., Nikolaev, E.
(2018).Proteomic and lipidomic analysis of mammoth bone by high-resolution tandem mass spectrometry coupled with liquid chromatography.
European Journal of Mass Spectrometry,24(6) 411-419
DOI: 10.1177/1469066718813728
Scopus: 2-s2.0-85058313138

217. Oseledets, I.V., Rakhuba, M.V., Uschmajew, A.
(2018).Alternating least squares as moving subspace correction.
SIAM Journal on Numerical Analysis,56(6) 3459-3479
DOI: 10.1137/17M1148712
Scopus: 2-s2.0-85060534722

218. Ushakov, V.L., Sharaev, M.G., Malashenkova, I.K., Krynskiy, S.A., Kartashov, S.I., Orlov, V.A., Malakhov, D.G., Hailov, N.A., Ogurtsov, D.P., Zakharova, N.V., Didkovsky, N.A., Maslennikova, A.V., Arkhipov, A.Y., Strelets, V.B., Arsalidou, M., Velichkovsky, B.M., Kostyuk, G.P.
(2018).Basic cognitive architectures and neuroimmune serum biomarkers in schizophrenia.
Procedia Computer Science,145596-603
DOI: 10.1016/j.procs.2018.11.097
Scopus: 2-s2.0-85059476736

219. Gridnev, I.D., Zherebker, A., Kostyukevich, Y., Nikolaev, E.
(2018).Methylene Group Transfer in Carbonyl Compounds Discovered in silico and Detected Experimentally.
DOI: 10.1002/cphc.201800945
Scopus: 2-s2.0-85058935151

220. Kruglik, S.A., Potapova, V.S., Frolov, A.A.
(2018).A Method for Constructing Parity-Check Matrices of Quasi-Cyclic LDPC Codes Over GF(q). Journal of Communications Technology and Electronics,63(12) 1524-1529
DOI: 10.1134/S1064226918120112
Scopus: 2-s2.0-85059934800

221. Menshchikov, A., Somov, A.
(2018).Mixed Reality Glasses: Low-Power IoT System for Digital Augmentation of Video Stream in Visual Recognition Applications.
2018 IEEE 13th International Symposium on Industrial Embedded Systems, SIES 2018 - Proceedings,
DOI: 10.1109/SIES.2018.8442093
Scopus: 2-s2.0-85053463333

222. Vakhitov, A., Kuzmin, A., Lempitsky, V.
(2018).Set2Model networks: Learning discriminatively to learn generative models.
Computer Vision and Image Understanding,17313-23
DOI: 10.1016/j.cviu.2017.08.001
Scopus: 2-s2.0-85028468219

223. Mehta, D., Ferrer, G., Olson, E.
(2018).C-MPDM: Continuously-Parameterized Risk-Aware MPDM by Quickly Discovering Contextual Policies.
IEEE International Conference on Intelligent Robots and Systems,7547-7554
DOI: 10.1109/IROS.2018.8593642
Scopus: 2-s2.0-85062954220

224. Filimonov, A., Somov, A.
(2018).Wireless power transfer to the sensors integrated in a wall.
Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018,664-669
DOI: 10.1109/ICPHYS.2018.8390786
Scopus: 2-s2.0-85050078031

225. Kononenko, D., Lempitsky, V.
(2018).Semi-supervised learning for monocular gaze redirection.
Proceedings - 13th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2018,535-539
DOI: 10.1109/FG.2018.00086
Scopus: 2-s2.0-85049399614

226. Li, Y., Wang, F., Chen, Y., Cichocki, A., Sejnowski, T.
(2018).The effects of audiovisual inputs on solving the cocktail party problem in the human brain: An fMRI study.
Cerebral Cortex,28(10) 3623-3637
DOI: 10.1093/cercor/bhx235
Scopus: 2-s2.0-85054298820

227. Neskorniuk, V., Lukashchuk, A., Gabitov, I., Chipouline, A., Malekizandi, M., Ovchinnikov, G., Küppers, F.
(2018).Nonlinear Pulses in Dispersion-Managed Fiber-Optic Systems in Presence of High Losses. Journal of Physics: Conference Series,1124(5)
DOI: 10.1088/1742-6596/1124/5/051011
Scopus: 2-s2.0-85060920122

228. Somov, A., Baraev, A.
(2018).Consist-to-Consist communications in the trains: Is it time to use ultra wide-band?.
Computers and Electrical Engineering,72965-975
DOI: 10.1016/j.compeleceng.2018.02.023
Scopus: 2-s2.0-85042225452

229. Batselier, K., Ko, C.-Y., Phan, A.-H., Cichocki, A., Wong, N.
(2018).Multilinear state space system identification with matrix product operators.
IFAC-PapersOnLine,51(15) 640-645
DOI: 10.1016/j.ifacol.2018.09.219
Scopus: 2-s2.0-85054352496

230. Minin, I.B., Nuzhin, E.E., Boyko, A.I., Litsarev, M.S., Oseledets, I.V.
(2018).Evolutionary structural optimization algorithm based on FFT-JVIE solver for inverse design of wave devices.
Proceedings - 5th International Conference on Engineering and Telecommunication, EnT-MIPT 2018,146-150
DOI: 10.1109/EnT-MIPT.2018.00040
Scopus: 2-s2.0-85070359029

231. Kruglik, S., Nazirkhanova, K., Frolov, A.
(2018).On the maximal code length of optimal linear LRC codes with availability.
Proceedings - 5th International Conference on Engineering and Telecommunication, EnT-MIPT 2018,54-57
DOI: 10.1109/EnT-MIPT.2018.00018
Scopus: 2-s2.0-85070377760

232. Jurica, P., Struzik, Z.R., Li, J., Horiuchi, M., Hiroyama, S., Takahara, Y., Nishitomi, K., Ogawa, K., Cichocki, A.
(2018).Combining behavior and EEG analysis for exploration of dynamic effects of ADHD treatment in animal models.
Journal of Neuroscience Methods,29824-32
DOI: 10.1016/j.jneumeth.2018.01.002
Scopus: 2-s2.0-85042230932

233. Tichavský, P., Phan, A.-H., Cichocki, A.
(2018).Under-Determined tensor diagonalization for decomposition of difficult tensors.
2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017,2017-1-4
DOI: 10.1109/CAMSAP.2017.8313082
Scopus: 2-s2.0-85051123821

234. Vlaskin, M., Grigorenko, A., Ambaryan, G., Chernova, N., Kiseleva, S., Kostyukevich, Y., Vladimirov, G., Nikolaev, E.
(2018).Chemical and fractional composition of bio-oil obtained from Arthrospira platensis by hydrothermal liquefaction.
IOP Conference Series: Earth and Environmental Science,168(1)
DOI: 10.1088/1755-1315/168/1/012039
Scopus: 2-s2.0-85050027447

235. Kuleshov, A., Bernstein, A., Yanovich, Y.
(2018).Geometrically motivated nonstationary kernel density estimation on manifold.
International Symposium on Artificial Intelligence and Mathematics, ISAIM 2018,
Scopus: 2-s2.0-85069681595

236. van der Aalst, W.M.P., Ignatov, D.I., Khachay, M., Kuznetsov, S.O., Lempitsky, V., Lomazova, I.A, Loukachevitch, N., Napoli, A., Panchenko, A., Pardalos, P.M., Savchenko, A.V., Wasserman, S. (2018).Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),10716V-VII
Scopus: 2-s2.0-85039419884

237. Mokrov, N., Panov, M., Gutman, B.A., Faskowitz, J.I., Jahanshad, N., Thompson, P.M. (2018).Simultaneous matrix diagonalization for structural brain networks classification. Studies in Computational Intelligence,6891261-1270
DOI: 10.1007/978-3-319-72150-7_102
Scopus: 2-s2.0-85036656162

238. Kuleshov, A.P., Bernstein, A.V., Yanovich, Y.Y.A.
(2018).Manifold learning based on kernel density estimation.
Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki,160(2) 327-338
Scopus: 2-s2.0-85087818537

239. Ostanin, I., Safonov, A., Oseledets, I.
(2018).Erratum: Author Correction: Natural Erosion of Sandstone as Shape Optimisation (Scientific reports (2017) 7 1 (17301)).
Scientific reports,8(1)
DOI: 10.1038/s41598-018-24100-z
Scopus: 2-s2.0-85070465100

240. Bernstein, A.V.
(2018).Manifold learning in statistical tasks.
Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki,160(2) 229-242
Scopus: 2-s2.0-85087802106

241. Wang, J., Yu, W., Yu, M.Y., Rykovanov, S., Ju, J., Luan, S., Li, K., Leng, Y., Li, R., Sheng, Z.-M.
(2018).Very-long distance propagation of high-energy laser pulse in air.
Physics of Plasmas,25(11)
DOI: 10.1063/1.5051400
Scopus: 2-s2.0-85056821844
242. Zhang, Y., Nam, C.S., Zhou, G., Jin, J., Wang, X., Cichocki, A.
(2019).Temporally constrained sparse group spatial patterns for motor imagery BCI.
IEEE Transactions on Cybernetics,49(9) 3322-3332
DOI: 10.1109/TCYB.2018.2841847
Scopus: 2-s2.0-85048631008

243. Jiao, Y., Zhang, Y., Chen, X., Yin, E., Jin, J., Wang, X., Cichocki, A.
(2019).Sparse Group Representation Model for Motor Imagery EEG Classification.
IEEE Journal of Biomedical and Health Informatics,23(2) 631-641
DOI: 10.1109/JBHI.2018.2832538
Scopus: 2-s2.0-85046376832

244. Zheng, W.-L., Liu, W., Lu, Y., Lu, B.-L., Cichocki, A.
(2019).EmotionMeter: A Multimodal Framework for Recognizing Human Emotions.
IEEE Transactions on Cybernetics,49(3) 1110-1122
DOI: 10.1109/TCYB.2018.2797176
Scopus: 2-s2.0-85041542141

245. Zhang, Z., Duan, F., Sole-Casals, J., Dinares-Ferran, J., Cichocki, A., Yang, Z., Sun, Z.
(2019).A Novel Deep Learning Approach with Data Augmentation to Classify Motor Imagery Signals. IEEE Access,715945-15954
DOI: 10.1109/ACCESS.2019.2895133
Scopus: 2-s2.0-85061781798

246. Jin, J., Miao, Y., Daly, I., Zuo, C., Hu, D., Cichocki, A.
(2019).Correlation-based channel selection and regularized feature optimization for MI-based BCI. Neural Networks,118262-270
DOI: 10.1016/j.neunet.2019.07.008
Scopus: 2-s2.0-85069507502

247. Sudakov, O., Burnaev, E., Koroteev, D.
(2019).Driving digital rock towards machine learning: Predicting permeability with gradient boosting and deep neural networks.
Computers and Geosciences,12791-98
DOI: 10.1016/j.cageo.2019.02.002
Scopus: 2-s2.0-85063383251

248. Feng, G., Chen, M., Bi, S., Goodwin, Z.A.H., Postnikov, E.B., Brilliantov, N., Urbakh, M., Kornyshev, A.A.
(2019).Free and Bound States of Ions in Ionic Liquids, Conductivity, and Underscreening Paradox. Physical Review X,9(2)
DOI: 10.1103/PhysRevX.9.021024
Scopus: 2-s2.0-85065731090

249. Bessarab, P.F., Yudin, D., Gulevich, D.R., Wadley, P., Titov, M., Tretiakov, O.A.
(2019).Stability and lifetime of antiferromagnetic skyrmions.
Physical Review B,99(14)
DOI: 10.1103/PhysRevB.99.140411
Scopus: 2-s2.0-85065138311

250. Sosnin, S., Karlov, D., Tetko, I.V., Fedorov, M.V.
(2019).Comparative Study of Multitask Toxicity Modeling on a Broad Chemical Space.
Journal of Chemical Information and Modeling,59(3) 1062-1072
DOI: 10.1021/acs.jcim.8b00685
Scopus: 2-s2.0-85063395180

251. Kowshik, S.S., Andreev, K., Frolov, A., Polyanskiy, Y.
(2019).Energy efficient random access for the quasi-static fading MAC.
IEEE International Symposium on Information Theory - Proceedings,2019-2768-2772
DOI: 10.1109/ISIT.2019.8849288 Scopus: 2-s2.0-85073162786

252. Palyulin, V.V., Blackburn, G., Lomholt, M.A., Watkins, N.W., Metzler, R., Klages, R., Chechkin, A.V.
(2019).First passage and first hitting times of Lévy flights and Lévy walks.
New Journal of Physics,21(10)
DOI: 10.1088/1367-2630/ab41bb
Scopus: 2-s2.0-85073822265

253. Glebov, A., Matveev, N., Andreev, K., Frolov, A., Turlikov, A.
(2019).Achievability Bounds for T-Fold Irregular Repetition Slotted ALOHA Scheme in the Gaussian MAC. IEEE Wireless Communications and Networking Conference, WCNC,2019-
DOI: 10.1109/WCNC.2019.8885472
Scopus: 2-s2.0-85073167121

254. Sosnovik, I., Oseledets, I.
(2019).Neural networks for topology optimization. Russian Journal of Numerical Analysis and Mathematical Modelling,34(4) 215-223
DOI: 10.1515/rnam-2019-0018
Scopus: 2-s2.0-85070228437

255. Luginina, A., Gusach, A., Marin, E., Mishin, A., Brouillette, R., Popov, P., Shiriaeva, A., Besserer-Offroy, É., Longpré, J.-M., Lyapina, E., Ishchenko, A., Patel, N., Polovinkin, V., Safronova, N., Bogorodskiy, A., Edelweiss, E., Hu, H., Weierstall, U., Liu, W., Batyuk, A., Gordeliy, V., Han, G.W., Sarret, P., Katritch, V., Borshchevskiy, V., Cherezov, V.
(2019).Structure-based mechanism of cysteinyl leukotriene receptor inhibition by antiasthmatic drugs. Science Advances,5(10)
DOI: 10.1126/sciadv.aax2518
Scopus: 2-s2.0-85073622965

256. Feng, J.K., Jin, J., Daly, I., Zhou, J., Niu, Y., Wang, X., Cichocki, A.
(2019).An Optimized Channel Selection Method Based on Multifrequency CSP-Rank for Motor Imagery-Based BCI System.
Computational Intelligence and Neuroscience,2019
DOI: 10.1155/2019/8068357 Scopus: 2-s2.0-85066322246

257. Zacharov, I., Arslanov, R., Gunin, M., Stefonishin, D., Bykov, A., Pavlov, S., Panarin, O., Maliutin, A., Rykovanov, S., Fedorov, M.
(2019)."Zhores" - Petaflops supercomputer for data-driven modeling, machine learning and artificial intelligence installed in Skolkovo Institute of Science and Technology.
Open Engineering,9(1) 512-520
DOI: 10.1515/eng-2019-0059
Scopus: 2-s2.0-85074475772

258. Karlov, D.S., Sosnin, S., Tetko, I.V., Fedorov, M.V.
(2019).Chemical space exploration guided by deep neural networks.
RSC Advances,9(9) 5151-5157
DOI: 10.1039/c8ra10182e
Scopus: 2-s2.0-85061977421

259. Pukalchik, M., Kydralieva, K., Yakimenko, O., Fedoseeva, E., Terekhova, V.
(2019).Outlining the potential role of Humic products in modifying biological properties of the Soil-A review.
Frontiers in Environmental Science,7
DOI: 10.3389/fenvs.2019.00080
Scopus: 2-s2.0-85068457012

260. Kurochkin, I., Khrameeva, E., Tkachev, A., Stepanova, V., Vanyushkina, A., Stekolshchikova, E., Li, Q., Zubkov, D., Shichkova, P., Halene, T., Willmitzer, L., Giavalisco, P., Akbarian, S., Khaitovich, P. (2019).Metabolome signature of autism in the human prefrontal cortex.
Communications Biology,2(1) DOI: 10.1038/s42003-019-0485-4
Scopus: 2-s2.0-85071176251

261. Marshakov, E., Balitskiy, G., Andreev, K., Frolov, A.
(2019).A polar code based unsourced random access for the gaussian MAC. IEEE Vehicular Technology Conference,2019-
DOI: 10.1109/VTCFall.2019.8891583
Scopus: 2-s2.0-85075236385

262. Klyuchnikov, N., Zaytsev, A., Gruzdev, A., Ovchinnikov, G., Antipova, K., Ismailova, L., Muravleva, E., Burnaev, E., Semenikhin, A., Cherepanov, A., Koryabkin, V., Simon, I., Tsurgan, A., Krasnov, F., Koroteev, D.
(2019).Data-driven model for the identification of the rock type at a drilling bit. Journal of Petroleum Science and Engineering,178506-516
DOI: 10.1016/j.petrol.2019.03.041
Scopus: 2-s2.0-85063756274

263. Wu, Q., Zhang, Y., Liu, J., Sun, J., Cichocki, A., Gao, F.
(2019).Regularized Group Sparse Discriminant Analysis for P300-Based Brain-Computer Interface. International Journal of Neural Systems,29(6)
DOI: 10.1142/S0129065719500023
Scopus: 2-s2.0-85063130434

264. Zhvansky, E.S., Pekov, S.I., Sorokin, A.A., Shurkhay, V.A., Eliferov, V.A., Potapov, A.A., Nikolaev, E.N., Popov, I.A.
(2019).Metrics for evaluating the stability and reproducibility of mass spectra.
Scientific Reports,9(1)
DOI: 10.1038/s41598-018-37560-0
Scopus: 2-s2.0-85060808570

265. Gusach, A., Luginina, A., Marin, E., Brouillette, R.L., Besserer-Offroy, É., Longpré, J.-M., Ishchenko, A., Popov, P., Patel, N., Fujimoto, T., Maruyama, T., Stauch, B., Ergasheva, M., Romanovskaia, D., Stepko, A., Kovalev, K., Shevtsov, M., Gordeliy, V., Han, G.W., Katritch, V., Borshchevskiy, V., Sarret, P., Mishin, A., Cherezov, V.
(2019).Structural basis of ligand selectivity and disease mutations in cysteinyl leukotriene receptors. Nature Communications,10(1)
DOI: 10.1038/s41467-019-13348-2
Scopus: 2-s2.0-85076298982

266. Kanin, E.A., Osiptsov, A.A., Vainshtein, A.L., Burnaev, E.V.
(2019).A predictive model for steady-state multiphase pipe flow: Machine learning on lab data. Journal of Petroleum Science and Engineering,180727-746
DOI: 10.1016/j.petrol.2019.05.055 Scopus: 2-s2.0-85066958345

267. Sosnin, S., Vashurina, M., Withnall, M., Karpov, P., Fedorov, M., Tetko, I.V.
(2019).A Survey of Multi-task Learning Methods in Chemoinformatics.
Molecular Informatics,38(4) DOI: 10.1002/minf.201800108
Scopus: 2-s2.0-85057542463

268. Kuleshov, A., Bernstein, A., Burnaev, E.
(2019).Kernel regression on manifold valued data. Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018,120-129
DOI: 10.1109/DSAA.2018.00022
Scopus: 2-s2.0-85062857822

269. Smolyakov, D., Korotin, A., Erofeev, P., Papanov, A., Burnaev, E.
(2019).Meta-learning for resampling recommendation systems.
Proceedings of SPIE - The International Society for Optical Engineering,11041
DOI: 10.1117/12.2523103
Scopus: 2-s2.0-85063493590

270. Chernodub, A., Oliynyk, O., Heidenreich, P., Bondarenko, A., Hagen, M., Biemann, C., Panchenko, A.
(2019).TARGER: Neural argument mining at your fingertips.
ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of System Demonstrations,
Scopus: 2-s2.0-85084945778

271. Popov, P., Kozlovskii, I., Katritch, V.
(2019).Computational design for thermostabilization of GPCRs.
Current Opinion in Structural Biology,5525-33
DOI: 10.1016/
Scopus: 2-s2.0-85063113515

272. Shadrin, D., Menshchikov, A., Ermilov, D., Somov, A.
(2019).Designing Future Precision Agriculture: Detection of Seeds Germination Using Artificial Intelligence on a Low-Power Embedded System.
IEEE Sensors Journal,19(23) 11573-11582
DOI: 10.1109/JSEN.2019.2935812
Scopus: 2-s2.0-85077496989

273. Sharaev, M., Artemov, A., Kondrateva, E., Sushchinskaya, S., Burnaev, E., Bernstein, A., Akzhigitov, R., Andreev, A.
(2019).MRI-Based diagnostics of depression concomitant with epilepsy: In search of the potential biomarkers.
Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018,555-564
DOI: 10.1109/DSAA.2018.00071
Scopus: 2-s2.0-85062855822

274. Smirnov, A.M., Golinskaya, A.D., Kotin, P.A., Dorofeev, S.G., Palyulin, V.V., Mantsevich, V.N., Dneprovskii, V.S.
(2019).Photoluminescence and nonlinear transmission of Cu-doped CdSe quantum dots.
Journal of Luminescence,21329-35
DOI: 10.1016/j.jlumin.2019.05.001
Scopus: 2-s2.0-85065431921

275. Phan, A.-H., Tichavsky, P., Cichocki, A.
(2019).Error preserving correction: A method for CP decomposition at a target error bound.
IEEE Transactions on Signal Processing,67(5) 1175-1190
DOI: 10.1109/TSP.2018.2887192
Scopus: 2-s2.0-85058883993

276. Biamonte, J., Faccin, M., De Domenico, M.
(2019).Complex networks from classical to quantum.
Communications Physics,2(1)
DOI: 10.1038/s42005-019-0152-6
Scopus: 2-s2.0-85071181261

277. Korepanova, D., Kruglik, S., Madhwal, Y., Myaldzin, T., Prokhorov, I., Shiyanov, I., Vorobyov, S., Yanovich, Y.
(2019).Blockchain-Based Solution to Prevent Postage Stamps Fraud.
ICBC 2019 - IEEE International Conference on Blockchain and Cryptocurrency,171-175
DOI: 10.1109/BLOC.2019.8751495
Scopus: 2-s2.0-85069225978

278. Zakharov, E., Shysheya, A., Burkov, E., Lempitsky, V.
(2019).Few-shot adversarial learning of realistic neural talking head models.
Proceedings of the IEEE International Conference on Computer Vision,2019-9458-9467
DOI: 10.1109/ICCV.2019.00955
Scopus: 2-s2.0-85081891510

279. Zherebker, A., Perminova, I.V., Kostyukevich, Y., Kononikhin, A.S., Kharybin, O., Nikolaev, E. (2019).Structural investigation of coal humic substances by selective isotopic exchange and high-resolution mass spectrometry.
Faraday Discussions,218172-190
DOI: 10.1039/c9fd00002j
Scopus: 2-s2.0-85071071443

280. Pastushkova, L.H., Rusanov, V.B., Goncharova, A.G., Brzhozovskiy, A.G., Kononikhin, A.S., Chernikova, A.G., Kashirina, D.N., Nosovsky, A.M., Baevsky, R.M., Nikolaev, E.N., Larina, I.M. (2019).Urine proteome changes associated with autonomic regulation of heart rate in cosmonauts. BMC Systems Biology,13
DOI: 10.1186/s12918-019-0688-9
Scopus: 2-s2.0-85062571213

281. Makhotin, I., Koroteev, D., Burnaev, E.
(2019).Gradient boosting to boost the efficiency of hydraulic fracturing.
Journal of Petroleum Exploration and Production Technology,9(3) 1919-1925
DOI: 10.1007/s13202-019-0636-7
Scopus: 2-s2.0-85062784479

282. Grigorev, A., Sevastopolsky, A., Vakhitov, A., Lempitsky, V.
(2019).Coordinate-based texture inpainting for pose-guided human image generation.
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2019-12127-12136
DOI: 10.1109/CVPR.2019.01241
Scopus: 2-s2.0-85078743207

283. Pominova, M., Artemov, A., Sharaev, M., Kondrateva, E., Bernstein, A., Burnaev, E. (2019).Voxelwise 3D convolutional and recurrent neural networks for epilepsy and depression diagnostics from structural and functional MRI data.
IEEE International Conference on Data Mining Workshops, ICDMW,2018-299-307
DOI: 10.1109/ICDMW.2018.00050
Scopus: 2-s2.0-85062871191

284. Egorova, E.E.
(2019).Generalization of IPP Codes and IPP Set Systems. Problems of Information Transmission,55(3) 241-253
DOI: 10.1134/S0032946019030049
Scopus: 2-s2.0-85073625622

285. Pekov, S.I., Ivanov, D.G., Bugrova, A.E., Indeykina, M.I., Zakharova, N.V., Popov, I.A., Kononikhin, A.S., Kozin, S.A., Makarov, A.A., Nikolaev, E.N.
(2019).Evaluation of MALDI-TOF/TOF Mass Spectrometry Approach for Quantitative Determination of Aspartate Residue Isomerization in the Amyloid-β Peptide.
Journal of the American Society for Mass Spectrometry,30(7) 1325-1329
DOI: 10.1007/s13361-019-02199-2
Scopus: 2-s2.0-85065734424

286. Vakhitov, A., Lempitsky, V.
(2019).Learnable Line Segment Descriptor for Visual SLAM. IEEE Access,739923-39934
DOI: 10.1109/ACCESS.2019.2901584
Scopus: 2-s2.0-85065194788

287. Shirinyan, A.A., Kozin, V.K., Hellsvik, J., Pereiro, M., Eriksson, O., Yudin, D.
(2019).Self-organizing maps as a method for detecting phase transitions and phase identification. Physical Review B,99(4)
DOI: 10.1103/PhysRevB.99.041108
Scopus: 2-s2.0-85059904004

288. Pavlov, S.V., Nazmutdinov, R.R., Fedorov, M.V., Kislenko, S.A.
(2019).Role of Graphene Edges in the Electron Transfer Kinetics: Insight from Theory and Molecular Modeling.
Journal of Physical Chemistry C,123(11) 6627-6634
DOI: 10.1021/acs.jpcc.8b12531
Scopus: 2-s2.0-85063326703

289. Ivanov, A., Stoliarenko, M., Kruglik, S., Novichkov, S., Savinov, A.
(2019).Dynamic resource allocation in LEO satellite.
2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019,930-935
DOI: 10.1109/IWCMC.2019.8766756
Scopus: 2-s2.0-85073904201

290. Iskakov, K., Burkov, E., Lempitsky, V., Malkov, Y.
(2019).Learnable triangulation of human pose.
Proceedings of the IEEE International Conference on Computer Vision,2019-7717-7726
DOI: 10.1109/ICCV.2019.00781
Scopus: 2-s2.0-85081934154

291. Sharaev, M., Artemov, A., Kondrateva, E., Ivanov, S., Sushchinskaya, S., Bernstein, A., Cichocki, A., Burnaev, E.
(2019).Learning connectivity patterns via graph Kernels for fMRI-based depression diagnostics.
IEEE International Conference on Data Mining Workshops, ICDMW,2018-308-314
DOI: 10.1109/ICDMW.2018.00051
Scopus: 2-s2.0-85062851326

292. Sorokin, A., Shurkhay, V., Pekov, S., Zhvansky, E., Ivanov, D., Kulikov, E.E., Popov, I., Potapov, A., Nikolaev, E.
(2019).Untangling the metabolic reprogramming in brain cancer: Discovering key molecular players using mass spectrometry.
Current Topics in Medicinal Chemistry,19(17) 1521-1534
DOI: 10.2174/1568026619666190729154543
Scopus: 2-s2.0-85072993231

293. Ivanov, A., Savinov, A., Yarotsky, D.
(2019).Iterative nonlinear detection and decoding in multi-user massive MIMO.
2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019,573-578 DOI: 10.1109/IWCMC.2019.8766553
Scopus: 2-s2.0-85073909190

294. Brzhozovskiy, A.G., Kononikhin, A.S., Pastushkova, L.C., Kashirina, D.N., Indeykina, M.I., Popov, I.A., Custaud, M.-A., Larina, I.M., Nikolaev, E.N.
(2019).The effects of spaceflight factors on the human plasma proteome, including both real space missions and ground-based experiments.
International Journal of Molecular Sciences,20(13)
DOI: 10.3390/ijms20133194
Scopus: 2-s2.0-85069268564

295. Ferrer, G., Sanfeliu, A.
(2019).Anticipative kinodynamic planning: multi-objective robot navigation in urban and dynamic environments.
Autonomous Robots,43(6) 1473-1488
DOI: 10.1007/s10514-018-9806-6
Scopus: 2-s2.0-85054790192

296. Timokhin, I.V., Matveev, S.A., Siddharth, N., Tyrtyshnikov, E.E., Smirnov, A.P., Brilliantov, N.V. (2019).Newton method for stationary and quasi-stationary problems for Smoluchowski-type equations.
Journal of Computational Physics,382124-137
DOI: 10.1016/
Scopus: 2-s2.0-85060674143

297. Kruglik, S., Nazirkhanova, K., Frolov, A.
(2019).New bounds and generalizations of locally recoverable codes with availability.
IEEE Transactions on Information Theory,65(7) 4156-4166
DOI: 10.1109/TIT.2019.2897705
Scopus: 2-s2.0-85067598609

298. Kucherov, G.
(2019).Evolution of biosequence search algorithms: A brief survey. Bioinformatics,35(19) 3547-3552 DOI: 10.1093/bioinformatics/btz272
Scopus: 2-s2.0-85072718504

299. Sudakov, O., Koroteev, D., Belozerov, B., Burnaev, E.
(2019).Artificial Neural Network Surrogate Modeling of Oil Reservoir: A Case Study. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),11555232-241
DOI: 10.1007/978-3-030-22808-8_24
Scopus: 2-s2.0-85068592810

300. Ovchinnikov, G.V., Pavlov, A.L., Tsetserukou, D.
(2019).Windowed multiscan optimization using weighted least squares for improving localization accuracy of mobile robots.
Autonomous Robots,43(3) 727-739
DOI: 10.1007/s10514-018-9763-0
Scopus: 2-s2.0-85045904297

301. Fedorov, F.S., Vasilkov, M.Y., Panov, M., Rupasov, D., Rashkovskiy, A., Ushakov, N.M., Lee, J., Hempelmann, R., Kallio, T., Nasibulin, A.G.
(2019).Tailoring electrochemical efficiency of hydrogen evolution by fine tuning of TiOx/RuOx composite cathode architecture.
International Journal of Hydrogen Energy,44(21) 10593-10603
DOI: 10.1016/j.ijhydene.2019.03.019
Scopus: 2-s2.0-85063411503

302. Gu, Y., Cheng, M., Kabatiansky, G., Miao, Y.
(2019).Probabilistic Existence Results for Parent-Identifying Schemes.
IEEE Transactions on Information Theory,65(10) 6160-6170
DOI: 10.1109/TIT.2019.2927020
Scopus: 2-s2.0-85077384870

303. Yurina, L.V., Vasilyeva, A.D., Bugrova, A.E., Indeykina, M.I., Kononikhin, A.S., Nikolaev, E.N., Rosenfeld, M.A.
(2019).Hypochlorite-Induced Oxidative Modification of Fibrinogen.
Doklady Biochemistry and Biophysics,484(1) 37-41
DOI: 10.1134/S1607672919010101
Scopus: 2-s2.0-85064823359

304. Polyanskii, N., Vorobyev, I.
(2019).Constructions of Batch Codes via Finite Geometry.
IEEE International Symposium on Information Theory - Proceedings,2019-360-364
DOI: 10.1109/ISIT.2019.8849736
Scopus: 2-s2.0-85073161091

305. Kabatiansky, G.A.
(2019).Traceability Codes and Their Generalizations.
Problems of Information Transmission,55(3) 283-294
DOI: 10.1134/S0032946019030074
Scopus: 2-s2.0-85073619299

306. Andreev, K., Kowshik, S.S., Frolov, A., Polyanskiy, Y.
(2019).Low complexity energy efficient random access scheme for the asynchronous fading MAC. IEEE Vehicular Technology Conference,2019-
DOI: 10.1109/VTCFall.2019.8891549
Scopus: 2-s2.0-85075246351

307. Ignatiev, V., Trekin, A., Lobachev, V., Potapov, G., Burnaev, E.
(2019).Targeted change detection in remote sensing images.
Proceedings of SPIE - The International Society for Optical Engineering,11041
DOI: 10.1117/12.2523141
Scopus: 2-s2.0-85063436334

308. Egorova, E., Fernandez, M., Kabatiansky, G.
(2019).A Construction of Traceability Set Systems with Polynomial Tracing Algorithm.
IEEE International Symposium on Information Theory - Proceedings,2019-2739-2742
DOI: 10.1109/ISIT.2019.8849353
Scopus: 2-s2.0-85073143061

309. Bokhovkin, A., Burnaev, E.
(2019).Boundary Loss for Remote Sensing Imagery Semantic Segmentation.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),11555388-401
DOI: 10.1007/978-3-030-22808-8_38
Scopus: 2-s2.0-85068595476

310. Götze, F., Naumov, A., Spokoiny, V., Ulyanov, V.
(2019).Large ball probabilities, Gaussian comparison and anti-concentration.
Bernoulli,25(4 A) 2538-2563
DOI: 10.3150/18-BEJ1062
Scopus: 2-s2.0-85055937432

311. Wang, J.W., Zepf, M., Rykovanov, S.G.
(2019).Intense attosecond pulses carrying orbital angular momentum using laser plasma interactions. Nature Communications,10(1)
DOI: 10.1038/s41467-019-13357-1
Scopus: 2-s2.0-85076123197

312. Kolos, M., Marin, A., Artemov, A., Burnaev, E.
(2019).Procedural Synthesis of Remote Sensing Images for Robust Change Detection with Neural Networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),11555371-387
DOI: 10.1007/978-3-030-22808-8_37
Scopus: 2-s2.0-85068618933

313. Kostyukevich, Y., Vlaskin, M., Zherebker, A., Grigorenko, A., Borisova, L., Nikolaev, E. (2019).High-Resolution Mass Spectrometry Study of the Bio-Oil Samples Produced by Thermal Liquefaction of Microalgae in Different Solvents.
Journal of the American Society for Mass Spectrometry,30(4) 605-614
DOI: 10.1007/s13361-018-02128-9
Scopus: 2-s2.0-85064196420

314. Peng, Y., Long, Y., Qin, F., Kong, W., Nie, F., Cichocki, A.
(2019).Flexible Non-negative Matrix Factorization with Adaptively Learned Graph Regularization. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,2019-3107-3111
DOI: 10.1109/ICASSP.2019.8683840
Scopus: 2-s2.0-85068958461

315. Khodajou-Chokami, H., Dylov, D.V.
(2019).Data Fusion Approach for Constructing Unsupervised Augmented Voxel-Based Statistical Anthropomorphic Phantoms.
Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019,1508-1512
DOI: 10.1109/BIBM47256.2019.8983359
Scopus: 2-s2.0-85084339293

316. Orlov, A.A., Zherebker, A., Eletskaya, A.A., Chernikov, V.S., Kozlovskaya, L.I., Zhernov, Y.V., Kostyukevich, Y., Palyulin, V.A., Nikolaev, E.N., Osolodkin, D.I., Perminova, I.V.
(2019).Examination of molecular space and feasible structures of bioactive components of humic substances by FTICR MS data mining in ChEMBL database. Scientific Reports,9(1)
DOI: 10.1038/s41598-019-48000-y
Scopus: 2-s2.0-85070792819

317. Khromov, N., Korotin, A., Lange, A., Stepanov, A., Burnaev, E., Somov, A.
(2019).Esports Athletes and Players: A Comparative Study. IEEE Pervasive Computing,18(3) 31-39 DOI: 10.1109/MPRV.2019.2926247
Scopus: 2-s2.0-85076430791

318. Tichai, A., Schutski, R., Scuseria, G.E., Duguet, T.
(2019).Tensor-decomposition techniques for ab initio nuclear structure calculations: From chiral nuclear potentials to ground-state energies. Physical Review C,99(3) DOI: 10.1103/PhysRevC.99.034320
Scopus: 2-s2.0-85063287960

319. Li, Y., Fan, J., Ovchinnikov, G., Karras, P.
(2019).Maximizing multifaceted network influence. Proceedings - International Conference on Data Engineering,2019-446-457
DOI: 10.1109/ICDE.2019.00047
Scopus: 2-s2.0-85067911636

320. Zhvansky, E.S., Sorokin, A.A., Pekov, S.I., Indeykina, M.I., Ivanov, D.G., Shurkhay, V.A., Eliferov, V.A., Zavorotnyuk, D.S., Levin, N.G., Bocharov, K.V., Tkachenko, S.I., Belenikin, M.S., Potapov, A.A., Nikolaev, E.N., Popov, I.A.
(2019).Unified representation of high- and low-resolution spectra to facilitate application of mass spectrometric techniques in clinical practice. Clinical Mass Spectrometry,1237-46
DOI: 10.1016/j.clinms.2019.03.004
Scopus: 2-s2.0-85063663643

321. Yakimenko, O.S., Terekhova, V.A., Pukalchik, M.A., Gorlenko, M.V., Popov, A.I. (2019).Comparison of Two Integrated Biotic Indices in Assessing the Effects of Humic Products in a Model Experiment.
Eurasian Soil Science,52(7) 736-746
DOI: 10.1134/S1064229319070159
Scopus: 2-s2.0-85073646407

322. Ivanov, A., Stoliarenko, M., Savinov, A., Novichkov, S.
(2019).Physical layer representation in LEO satellite with a hybrid multi-beamforming. 2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019,140-145
DOI: 10.1109/IWCMC.2019.8766595
Scopus: 2-s2.0-85073904429

323. Santo, K.P., Vishnyakov, A., Brun, Y., Neimark, A.V.
(2019).Critical Conditions of Adhesion and Separation of Functionalized Nanoparticles on Polymer Grafted Substrates. Journal of Physical Chemistry C,123(26) 16091-16106
DOI: 10.1021/acs.jpcc.9b01219
Scopus: 2-s2.0-85065802456

324. Egorova, E., Kabatiansky, G., Krouk, E., Tavernier, C.
(2019).A new code-based public-key cryptosystem resistant to quantum computer attacks. Journal of Physics: Conference Series,1163(1)
DOI: 10.1088/1742-6596/1163/1/012061
Scopus: 2-s2.0-85064412624

325. Zakalyukina, Y.V., Birykov, M.V., Lukianov, D.A., Shiriaev, D.I., Komarova, E.S., Skvortsov, D.A., Kostyukevich, Y., Tashlitsky, V.N., Polshakov, V.I., Nikolaev, E., Sergiev, P.V., Osterman, I.A. (2019).Nybomycin-producing Streptomyces isolated from carpenter ant Camponotus vagus. Biochimie,16093-99
DOI: 10.1016/j.biochi.2019.02.010
Scopus: 2-s2.0-85062273463

326. Kostyukevich, Y., Zherebker, A., Vlaskin, M.S., Roznyatovsky, V.A., Grishin, Y.K., Nikolaev, E. (2019).Speciation of structural fragments in crude oil by means of isotope exchange in near-critical water and Fourier transform mass spectrometry. Analytical and Bioanalytical Chemistry,411(15) 3331-3339
DOI: 10.1007/s00216-019-01802-5
Scopus: 2-s2.0-85065211227

327. Pavlov, A.L., Karpyshev, P.A., Ovchinnikov, G.V., Oseledets, I.V., Tsetserukou, D. (2019).IceVisionSet: Lossless video dataset collected on Russian winter roads with traffic sign annotations. Proceedings - IEEE International Conference on Robotics and Automation,2019-9597-9602 DOI: 10.1109/ICRA.2019.8794341
Scopus: 2-s2.0-85071464778

328. Malovichko, M., Tarasov, A.V., Yavich, N., Zhdanov, M.S.
(2019).Mineral exploration with 3-D controlled-source electromagnetic method: A synthetic study of Sukhoi Log gold deposit. Geophysical Journal International,219(3) 1698-1716
DOI: 10.1093/gji/ggz390
Scopus: 2-s2.0-85072781127

329. Gubarev, V.M., Yakovlev, V.Y., Sertsu, M.G., Yakushev, O.F., Krivtsun, V.M., Gladush, Y.G., Ostanin, I.A., Sokolov, A., Schäfers, F., Medvedev, V.V., Nasibulin, A.G.
(2019).Single-walled carbon nanotube membranes for optical applications in the extreme ultraviolet range. Carbon,155734-739
DOI: 10.1016/j.carbon.2019.09.006
Scopus: 2-s2.0-85072272480

330. Kozlovskaya, L.I., Andrei, G., Orlov, A.A., Khvatov, E.V., Koruchekov, A.A., Belyaev, E.S., Nikolaev, E.N., Korshun, V.A., Snoeck, R., Osolodkin, D.I., Matyugina, E.S., Aralov, A.V. (2019).Antiviral activity spectrum of phenoxazine nucleoside derivatives. Antiviral Research,163117-124
DOI: 10.1016/j.antiviral.2019.01.010
Scopus: 2-s2.0-85060678946

331. Shadrin, D., Chashchin, A., Ovchinnikov, G., Somov, A.
(2019).System identification - Soilless growth of tomatoes.
I2MTC 2019 - 2019 IEEE International Instrumentation and Measurement Technology Conference, Proceedings,2019-
DOI: 10.1109/I2MTC.2019.8826903
Scopus: 2-s2.0-85072843964

332. Egorova, E., Fernandez, M., Kabatiansky, G., Lee, M.H.
(2019).Signature codes for weighted noisy adder channel, multimedia fingerprinting and compressed sensing. Designs, Codes, and Cryptography,87(2-3) 455-462
DOI: 10.1007/s10623-018-0551-9
Scopus: 2-s2.0-85053798712

333. Kashirina, D.N., Percy, A.J., Pastushkova, L.K., Borchers, C.H., Kireev, K.S., Ivanisenko, V.A., Kononikhin, A.S., Nikolaev, E.N., Larina, I.M.
(2019).The molecular mechanisms driving physiological changes after long duration space flights revealed by quantitative analysis of human blood proteins. BMC Medical Genomics,12
DOI: 10.1186/s12920-019-0490-y
Scopus: 2-s2.0-85062938692

334. Rivera-Castro, R., Nazarov, I., Xiang, Y., Pletneev, A., Maksimov, I., Burnaev, E.
(2019).Demand Forecasting Techniques for Build-to-Order Lean Manufacturing Supply Chains. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),11554213-222
DOI: 10.1007/978-3-030-22796-8_23
Scopus: 2-s2.0-85068604134

335. Smerdov, A., Kiskun, A., Shaniiazov, R., Somov, A., Burnaev, E.
(2019).Understanding cyber athletes behaviour through a smart chair: Cs:go and monolith team scenario. IEEE 5th World Forum on Internet of Things, WF-IoT 2019 - Conference Proceedings,973-978 DOI: 10.1109/WF-IoT.2019.8767295
Scopus: 2-s2.0-85073897717

336. Voynov, O., Artemov, A., Egiazarian, V., Notchenko, A., Bobrovskikh, G., Burnaev, E., Zorin, D. (2019).Perceptual deep depth super-resolution. Proceedings of the IEEE International Conference on Computer Vision,2019-5652-5662
DOI: 10.1109/ICCV.2019.00575
Scopus: 2-s2.0-85081272643

337. Fedorov, A.K., Akimov, A.V., Biamonte, J.D., Kavokin, A.V., Khalili, F.Ya., Kiktenko, E.O., Kolachevsky, N.N., Kurochkin, Y.V., Lvovsky, A.I., Rubtsov, A.N., Shlyapnikov, G.V., Straupe, S.S., Ustinov, A.V., Zheltikov, A.M.
(2019).Quantum technologies in Russia. Quantum Science and Technology,4(4)
DOI: 10.1088/2058-9565/ab4472
Scopus: 2-s2.0-85079341699

338. Shysheya, A., Zakharov, E., Aliev, K.-A., Bashirov, R., Burkov, E., Iskakov, K., Ivakhnenko, A., Malkov, Y., Pasechnik, I., Ulyanov, D., Vakhitov, A., Lempitsky, V.
(2019).Textured neural avatars. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2019-2382-2392
DOI: 10.1109/CVPR.2019.00249
Scopus: 2-s2.0-85078714386

339. Kong, W., Kong, X., Fan, Q., Zhao, Q., Cichocki, A.
(2019).Task-free brainprint recognition based on low-rank and sparse decomposition model. International Journal of Data Mining and Bioinformatics,22(3) 280-300
DOI: 10.1504/IJDMB.2019.100629
Scopus: 2-s2.0-85068510959

340. Vostrikov, S., Somov, A., Gotovtsev, P.
(2019).Low temperature gradient thermoelectric generator: Modelling and experimental verification. Applied Energy,255
DOI: 10.1016/j.apenergy.2019.113786
Scopus: 2-s2.0-85072835533

341. Antipova, T.V., Zaitsev, K.V., Oprunenko, Y.F., Ya. Zherebker, A., Rystsov, G.K., Zemskova, M.Y., Zhelifonova, V.P., Ivanushkina, N.E., Kozlovsky, A.G.
(2019).Austalides V and W, new meroterpenoids from the fungus Aspergillus ustus and their antitumor activities. Bioorganic and Medicinal Chemistry Letters,29(22)
DOI: 10.1016/j.bmcl.2019.126708
Scopus: 2-s2.0-85073055936

342. Frolov, E., Oseledets, I.
(2019).HybridSVD: When collaborative information is not enough. RecSys 2019 - 13th ACM Conference on Recommender Systems,331-339
DOI: 10.1145/3298689.3347055
Scopus: 2-s2.0-85073395252

343. Starodubtseva, N.L., Brzhozovskiy, A.G., Bugrova, A.E., Kononikhin, A.S., Indeykina, M.I., Gusakov, K.I., Chagovets, V.V., Nazarova, N.M., Frankevich, V.E., Sukhikh, G.T., Nikolaev, E.N. (2019).Label-free cervicovaginal fluid proteome profiling reflects the cervix neoplastic transformation. Journal of Mass Spectrometry,54(8) 693-703
DOI: 10.1002/jms.4374
Scopus: 2-s2.0-85068545471

344. Nazarova, A.A., Sedenkova, K.N., Karlov, D.S., Lavrov, M.I., Grishin, Y.K., Kuznetsova, T.S., Zamoyski, V.L., Grigoriev, V.V., Averina, E.B., Palyulin, V.A.
(2019).Bivalent AMPA receptor positive allosteric modulators of the bis(pyrimidine) series. MedChemComm,10(9) 1615-1619
DOI: 10.1039/c9md00262f
Scopus: 2-s2.0-85072532781

345. Kong, X., Kong, W., Fan, Q., Zhao, Q., Cichocki, A.
(2019).Task-Independent EEG Identification via Low-Rank Matrix Decomposition. Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018,412-419
DOI: 10.1109/BIBM.2018.8621531
Scopus: 2-s2.0-85062554995

346. Sokolewicz, R., Ghosh, S., Yudin, D., Manchon, A., Titov, M.
(2019).Spin-orbit torques in a Rashba honeycomb antiferromagnet. Physical Review B,100(21)
DOI: 10.1103/PhysRevB.100.214403
Scopus: 2-s2.0-85076543757

347. Sevgili, Ö., Panchenko, A., Biemann, C.
(2019).Improving neural entity disambiguation with graph embeddings. ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Student Research Workshop,315-322
Scopus: 2-s2.0-85081109509

348. Kulikov, V., Guo, S.-M., Stone, M., Goodman, A., Carpenter, A., Bathe, M., Lempitsky, V. (2019).DoGNet: A deep architecture for synapse detection in multiplexed fluorescence images. PLoS Computational Biology,15(5)
DOI: 10.1371/journal.pcbi.1007012
Scopus: 2-s2.0-85066919128

349. Kononikhin, A.S., Brzhozovskiy, A.G., Ryabokon, A.M., Fedorchenko, K., Zhakharova, N.V., Spasskii, A.I., Popov, I.A., Ilyin, V.K., Solovyova, Z.O., Pastushkova, L.K., Polyakov, A.V., Varfolomeev, S.D., Larina, I.M., Nikolaev, E.N.
(2019).Proteome profiling of the exhaled breath condensate after long-term spaceflights. International Journal of Molecular Sciences,20(18)
DOI: 10.3390/ijms20184518
Scopus: 2-s2.0-85072553364

350. Zhu, L., Cui, G., Cao, J., Cichocki, A., Zhang, J., Zhou, C.
(2019).A hybrid system for distinguishing between brain death and coma using diverse EEG features. Sensors (Switzerland),19(6)
DOI: 10.3390/s19061342
Scopus: 2-s2.0-85063298853

351. Bodrova, A.S., Stadnichuk, V., Krapivsky, P.L., Schmidt, J., Brilliantov, N.V.
(2019).Kinetic regimes in aggregating systems with spontaneous and collisional fragmentation. Journal of Physics A: Mathematical and Theoretical,52(20)
DOI: 10.1088/1751-8121/ab1616
Scopus: 2-s2.0-85067283565

352. Kuzina, A., Egorov, E., Burnaev, E.
(2019).Bayesian generative models for knowledge transfer in MRI semantic segmentation problems. Frontiers in Neuroscience,13
DOI: 10.3389/fnins.2019.00844
Scopus: 2-s2.0-85071568627

353. Liventsev, V., Fedulova, I., Dylov, D.
(2019).Deep Text Prior: Weakly Supervised Learning for Assertion Classification. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),11731243-257
DOI: 10.1007/978-3-030-30493-5_26
Scopus: 2-s2.0-85072983006

354. Menshchikov, A., Somov, A.
(2019).Morphing wing with compliant aileron and slat for unmanned aerial vehicles. Physics of Fluids,31(3)
DOI: 10.1063/1.5086976
Scopus: 2-s2.0-85062829305

355. Prutyanov, V., Melentev, N., Lopatkin, D., Menshchikov, A., Somov, A.
(2019).Developing IoT devices empowered by artificial intelligence: Experimental study.
Global IoT Summit, GIoTS 2019 - Proceedings,
DOI: 10.1109/GIOTS.2019.8766355
Scopus: 2-s2.0-85073892009

356. Asante-Mensah, M.G., Cichocki, A.
(2019).Medical image de-noising using deep networks.
IEEE International Conference on Data Mining Workshops, ICDMW,2018-315-319
DOI: 10.1109/ICDMW.2018.00052
Scopus: 2-s2.0-85062831408

357. Kolombet, V.A., Lesnykh, V.N., Elistratov, A.V., Kolombet, E.V., Fedorov, M.V., Shnoll, S.E. (2019).An Experimental Approach to the Investigation of the Universal Period-Tripling System. Biophysics (Russian Federation),64(2) 300-308
DOI: 10.1134/S000635091902009X
Scopus: 2-s2.0-85067926051

358. Perminova, I.V., Shirshin, E.A., Zherebker, A., Pipko, I.I., Pugach, S.P., Dudarev, O.V., Nikolaev, E.N., Grigoryev, A.S., Shakhova, N., Semiletov, I.P.
(2019).Signatures of Molecular Unification and Progressive Oxidation Unfold in Dissolved Organic Matter of the Ob-Irtysh River System along Its Path to the Arctic Ocean.
Scientific Reports,9(1)
DOI: 10.1038/s41598-019-55662-1
Scopus: 2-s2.0-85076880637

359. Prokopenko, D., Stadelmann, J.V., Schulz, H., Renisch, S., Dylov, D.V.
(2019).Unpaired synthetic image generation in radiology using GANs.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),1185094-101
DOI: 10.1007/978-3-030-32486-5_12
Scopus: 2-s2.0-85075660783

360. Anyshchenko, O., Bohuslavskyi, I., Kruglik, S., Madhwal, Y., Ostrovsky, A., Yanovich, Y. (2019).Building cryptotokens based on permissioned blockchain framework. IEEE Vehicular Technology Conference,2019-
DOI: 10.1109/VTCFall.2019.8891186
Scopus: 2-s2.0-85075237083

361. Borzunov, A.A., Karaulov, V.Y., Koshev, N.A., Lukyanenko, D.V., Rau, E.I., Yagola, A.G., Zaitsev, S.V.
(2019).3D surface topography imaging in SEM with improved backscattered electron detector: Arrangement and reconstruction algorithm. Ultramicroscopy,207
DOI: 10.1016/j.ultramic.2019.112830
Scopus: 2-s2.0-85071728082

362. Novikov, A., Trofimov, M., Oseledets, I.
(2019).Exponential machines. 5th International Conference on Learning Representations, ICLR 2017 - Workshop Track Proceedings,
Scopus: 2-s2.0-85083954422

363. Cheng, J., Jin, J., Daly, I., Zhang, Y., Wang, B., Wang, X., Cichocki, A.
(2019).Effect of a combination of flip and zooming stimuli on the performance of a visual brain-computer interface for spelling. Biomedizinische Technik,64(1) 29-38
DOI: 10.1515/bmt-2017-0082
Scopus: 2-s2.0-85042148894

364. Efimov, K., Adamyan, L., Spokoiny, V.
(2019).Adaptive Nonparametric Clustering. IEEE Transactions on Information Theory,65(8) 4875-4892
DOI: 10.1109/TIT.2019.2903113
Scopus: 2-s2.0-85069536413

365. Kravchuk, O.I., Lyupina, Y.V., Erokhov, P.A., Finoshin, A.D., Adameyko, K.I., Mishyna, M.Y., Moiseenko, A.V., Sokolova, O.S., Orlova, O.V., Beljelarskaya, S.N., Serebryakova, M.V., Indeykina, M.I., Bugrova, A.E., Kononikhin, A.S., Mikhailov, V.S.
(2019).Characterization of the 20S proteasome of the lepidopteran, Spodoptera frugiperda. Biochimica et Biophysica Acta - Proteins and Proteomics,1867(9) 840-853
DOI: 10.1016/j.bbapap.2019.06.010
Scopus: 2-s2.0-85067666428

366. Groth, S.P., Polimeridis, A.G., Tambova, A., White, J.K.
(2019).Circulant preconditioning in the volume integral equation method for silicon photonics. Journal of the Optical Society of America A: Optics and Image Science, and Vision,36(6) 1079-1088
DOI: 10.1364/JOSAA.36.001079
Scopus: 2-s2.0-85067131027

367. Kuznetsov, M.A., Oseledets, I.V.
(2019).Tensor Train Spectral Method for Learning of Hidden Markov Models (HMM). Computational Methods in Applied Mathematics,19(1) 93-99
DOI: 10.1515/cmam-2018-0027
Scopus: 2-s2.0-85053110341

368. Ostanin, I., Dumitrica, T., Eibl, S., Rüde, U.
(2019).Size-independent mechanical response of ultrathin carbon nanotube films in mesoscopic distinct element method simulations. Journal of Applied Mechanics, Transactions ASME,86(12)
DOI: 10.1115/1.4044413
Scopus: 2-s2.0-85078276536

369. Shelmanov, A., Liventsev, V., Kireev, D., Khromov, N., Panchenko, A., Fedulova, I., Dylov, D.V. (2019).Active Learning with Deep Pre-trained Models for Sequence Tagging of Clinical and Biomedical Texts. Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019,482-489
DOI: 10.1109/BIBM47256.2019.8983157
Scopus: 2-s2.0-85084334841

370. Nikitin, A., Fastovets, I., Shadrin, D., Pukalchik, M., Oseledets, I.
(2019).Bayesian optimization for seed germination. Plant Methods,15(1)
DOI: 10.1186/s13007-019-0422-z
Scopus: 2-s2.0-85065242152

371. Gusak, J., Kholiavchenko, M., Ponomarev, E., Markeeva, L., Blagoveschensky, P., Cichocki, A., Oseledets, I.
(2019).Automated multi-stage compression of neural networks. Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019,2501-2508
DOI: 10.1109/ICCVW.2019.00306
Scopus: 2-s2.0-85082501198

372. Tsymbalov, E., Makarychev, S., Shapeev, A., Panov, M.
(2019).Deeper connections between neural networks and Gaussian processes speed-up active learning. IJCAI International Joint Conference on Artificial Intelligence,2019-3599-3605
DOI: 10.24963/ijcai.2019/499
Scopus: 2-s2.0-85074914303

373. Pekov, S.I., Eliferov, V.A., Sorokin, A.A., Shurkhay, V.A., Zhvansky, E.S., Vorobyev, A.S., Potapov, A.A., Nikolaev, E.N., Popov, I.A.
(2019).Inline cartridge extraction for rapid brain tumor tissue identification by molecular profiling. Scientific Reports,9(1)
DOI: 10.1038/s41598-019-55597-7
Scopus: 2-s2.0-85076396384

374. Tichavský, P., Phan, A.-H., Cichocki, A.
(2019).Sensitivity in Tensor Decomposition. IEEE Signal Processing Letters,26(11) 1653-1657
DOI: 10.1109/LSP.2019.2943060
Scopus: 2-s2.0-85077750421

375. Korotin, A., Khromov, N., Stepanov, A., Lange, A., Burnaev, E., Somov, A.
(2019).Towards understanding of eSports athletes' potentialities: The sensing system for data collection and analysis. Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019,1804-1810
DOI: 10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00319
Scopus: 2-s2.0-85083590152

376. Muranov, K.O., Poliansky, N.B., Chebotareva, N.A., Kleimenov, S.Y., Bugrova, A.E., Indeykina, M.I., Kononikhin, A.S., Nikolaev, E.N., Ostrovsky, M.A.
(2019).The mechanism of the interaction of α-crystallin and UV-damaged βL-crystallin. International Journal of Biological Macromolecules,140736-748
DOI: 10.1016/j.ijbiomac.2019.08.178

377. Larionov, D., Chistova, E., Shelmanov, A., Smirnov, I.
(2019).Semantic role labeling with pretrained language models for known and unknown predicates. International Conference Recent Advances in Natural Language Processing, RANLP,2019-619-628 DOI: 10.26615/978-954-452-056-4_073
Scopus: 2-s2.0-85076498850

378. Li, B.Y., Liu, F., Chen, M., Chen, Z.Y., Yuan, X.H., Weng, S.M., Jin, T., Rykovanov, S.G., Wang, J.W., Sheng, Z.M., Zhang, J.
(2019).High-quality high-order harmonic generation through preplasma truncation. Physical Review E,100(5)
DOI: 10.1103/PhysRevE.100.053207
Scopus: 2-s2.0-85076791820

379. Rakhuba, M., Novikov, A., Oseledets, I.
(2019).Low-rank Riemannian eigensolver for high-dimensional Hamiltonians. Journal of Computational Physics,396718-737
DOI: 10.1016/
Scopus: 2-s2.0-85083814564

380. Eldén, L., Ahmadi-Asl, S.
(2019).Solving bilinear tensor least squares problems and application to Hammerstein identification. Numerical Linear Algebra with Applications,26(2)
DOI: 10.1002/nla.2226
Scopus: 2-s2.0-85058160995

381. Kowshik, S.S., Andreev, K., Frolov, A., Polyanskiy, Y.
(2019).Short-Packet Low-Power Coded Access for Massive MAC. Conference Record - Asilomar Conference on Signals, Systems and Computers,2019-827-832
DOI: 10.1109/IEEECONF44664.2019.9048748
Scopus: 2-s2.0-85083311453

382. Stepanov, A., Lange, A., Khromov, N., Korotin, A., Burnaev, E., Somov, A.
(2019).Sensors and game synchronization for data analysis in esports. IEEE International Conference on Industrial Informatics (INDIN),2019-933-938
DOI: 10.1109/INDIN41052.2019.8972249
Scopus: 2-s2.0-85079042747

383. Kostyukevich, Y., Vladimirov, G., Stekolschikova, E., Ivanov, D., Yablokov, A., Zherebker, A., Sosnin, S., Orlov, A., Fedorov, M., Khaitovich, P., Nikolaev, E.
(2019).Hydrogen/Deuterium Exchange Aiding Compound Identification for LC-MS and MALDI Imaging Lipidomics. Analytical Chemistry,91(21) 13465-13474
DOI: 10.1021/acs.analchem.9b02461
Scopus: 2-s2.0-85073376693

384. Lioznov, A., Baykut, G., Nikolaev, E.
(2019).Analytical Solution for the Electric Field Inside Dynamically Harmonized FT-ICR Cell. Journal of the American Society for Mass Spectrometry,30(5) 778-786
DOI: 10.1007/s13361-018-2121-9
Scopus: 2-s2.0-85065426405

385. Pires, C.F., Rosa, F.F., Kurochkin, I., Pereira, C.-F.
(2019).Understanding and Modulating Immunity With Cell Reprogramming. Frontiers in Immunology,10
DOI: 10.3389/fimmu.2019.02809
Scopus: 2-s2.0-85077260284

386. Popov, P., Bizin, I., Gromiha, M., Kulandaisamy, A., Frishman, D.
(2019).Prediction of disease-associated mutations in the transmembrane regions of proteins with known 3D structure. PLoS ONE,14(7)
DOI: 10.1371/journal.pone.0219452
Scopus: 2-s2.0-85069589204

387. Peng, Y., Tang, R., Kong, W., Zhang, J., Nie, F., Cichocki, A.
(2019).Joint Structured Graph Learning and Clustering Based on Concept Factorization. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,2019-3162-3166
DOI: 10.1109/ICASSP.2019.8682779
Scopus: 2-s2.0-85068970001

388. Ponomarev, E.S., Oseledets, I.V., Cichocki, A.S.
(2019).Using Reinforcement Learning in the Algorithmic Trading Problem. Journal of Communications Technology and Electronics,64(12) 1450-1457
DOI: 10.1134/S1064226919120131
Scopus: 2-s2.0-85081056380

389. Vorobyev, I.
(2019).A New Algorithm for Two-Stage Group Testing. IEEE International Symposium on Information Theory - Proceedings,2019-101-105
DOI: 10.1109/ISIT.2019.8849718
Scopus: 2-s2.0-85073158089

390. Matveev, S.A., Stefonishin, D.A., Smirnov, A.P., Sorokin, A.A., Tyrtyshnikov, E.E. (2019).Numerical studies of solutions for kinetic equations with many-particle collisions. Journal of Physics: Conference Series,1163(1)
DOI: 10.1088/1742-6596/1163/1/012008
Scopus: 2-s2.0-85064414156

391. Pukalchik, M.A., Terekhova, V.A., Karpukhin, M.M., Vavilova, V.M.
(2019).Comparison of Eluate and Direct Soil Bioassay Methods of Soil Assessment in the Case of Contamination with Heavy Metals. Eurasian Soil Science,52(4) 464-470
DOI: 10.1134/S1064229319040112
Scopus: 2-s2.0-85066929540

392. Smolyakov, D., Sviridenko, N., Ishimtsev, V., Burikov, E., Burnaev, E.
(2019).Learning Ensembles of Anomaly Detectors on Synthetic Data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),11555292-306
DOI: 10.1007/978-3-030-22808-8_30
Scopus: 2-s2.0-85068619047

393. Zherebker, A., Podgorski, D.C., Kholodov, V.A., Orlov, A.A., Yaroslavtseva, N.V., Kharybin, O., Kholodov, A., Spector, V., Spencer, R.G.M., Nikolaev, E., Perminova, I.V.
(2019).The Molecular Composition of Humic Substances Isolated From Yedoma Permafrost and Alas Cores in the Eastern Siberian Arctic as Measured by Ultrahigh Resolution Mass Spectrometry. Journal of Geophysical Research: Biogeosciences,124(8) 2432-2445
DOI: 10.1029/2018JG004743
Scopus: 2-s2.0-85070684857

394. Polyanskii, N., Vorobyev, I.
(2019).Trivariate Lifted Codes with Disjoint Repair Groups. 2019 16th International Symposium "Problems of Redundancy in Information and Control Systems", REDUNDANCY 2019,64-68
DOI: 10.1109/REDUNDANCY48165.2019.9003339
Scopus: 2-s2.0-85081559700

395. Malovichko, M., Tarasov, A.V., Yavich, N., Zhdanov, M.S.
(2019).Comparing the effectiveness of CSEM, CSAMT, and DC methods on a 3D model of gold deposit. 81st EAGE Conference and Exhibition 2019,
DOI: 10.3997/2214-4609.201901158
Scopus: 2-s2.0-85088068362

396. Davydov, V., Gazaryan, A., Madhwal, Y., Yanovich, Y.
(2019).Token standard for heterogeneous assets digitization into commodity. ACM International Conference Proceeding Series,43-47
DOI: 10.1145/3376044.3376053
Scopus: 2-s2.0-85082517691

397. Ibrahimov, R., Tsykunov, E., Shirokun, V., Somov, A., Tsetserukou, D.
(2019).DronePick: Object Picking and Delivery Teleoperation with the Drone Controlled by a Wearable Tactile Display. 2019 28th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2019,
DOI: 10.1109/RO-MAN46459.2019.8956344
Scopus: 2-s2.0-85078833313

398. Muravleva, E.A., Oseledets, I.V.
(2019).Approximate Solution of Linear Systems with Laplace-like Operators via Cross Approximation in the Frequency Domain. Computational Methods in Applied Mathematics,19(1) 137-145
DOI: 10.1515/cmam-2018-0026
Scopus: 2-s2.0-85050941106

399. Burkov, A., Frolov, A., Turlikov, A.
(2019).Contention-Based Protocol with Time Division Collision Resolution. International Congress on Ultra Modern Telecommunications and Control Systems and Workshops,2018-
DOI: 10.1109/ICUMT.2018.8631217
Scopus: 2-s2.0-85062776876

400. Lavrov, M.I., Veremeeva, P.N., Karlov, D.S., Zamoyski, V.L., Grigoriev, V.V., Palyulin, V.A.
(2019).Tricyclic derivatives of bispidine as AMPA receptor allosteric modulators.
Mendeleev Communications,29(6) 619-621
DOI: 10.1016/j.mencom.2019.11.004
Scopus: 2-s2.0-85075325534

401. Grigorenko, A.V., Kostyukevich, Y.I., Chernova, N.I., Kiseleva, S.V., Kiseleva, E.A., Popel, O.S., Vladimirov, G.N., Nikolaev, E.N., Kumar, V., Vlaskin, M.S.
(2019).Hydrothermal Liquefaction of Arthrospira platensis for Bio-Oil Production and Study of Chemical Composition for Bio-Oil and Its Gasoline Fraction.
Russian Journal of Applied Chemistry,92(11) 1480-1486
DOI: 10.1134/S1070427219110028
Scopus: 2-s2.0-85077216180

402. Pominova, M., Kondrateva, E., Sharaev, M., Bernstein, A., Pavlov, S., Burnaev, E.
(2019).3D deformable convolutions for MRI classification.
Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019,1710-1716
DOI: 10.1109/ICMLA.2019.00278
Scopus: 2-s2.0-85080884823

403. Chagovets, V., Kononikhin, A., Tokoreva, A., Bormotov, D., Starodubtseva, N., Kostyukevich, Y., Popov, I., Frankevich, V., Nikolaev, E.
(2019).Relative quantitation of phosphatidylcholines with interfered masses of protonated and sodiated molecules by tandem and Fourier-transform ion cyclotron resonance mass spectrometry. European Journal of Mass Spectrometry,25(2) 259-264
DOI: 10.1177/1469066718799992
Scopus: 2-s2.0-85064908872

404. Egorova, E., Vorobyev, I.
(2019).New lower bound on the rate of traceability set systems.
2019 16th International Symposium "Problems of Redundancy in Information and Control Systems", REDUNDANCY 2019,93-98
DOI: 10.1109/REDUNDANCY48165.2019.9003335
Scopus: 2-s2.0-85081566325

405. Polyanskaya, R., Polyanskii, N.
(2019).Batch codes based on lifted multiplicity codes.
2019 16th International Symposium "Problems of Redundancy in Information and Control Systems", REDUNDANCY 2019,69-74
DOI: 10.1109/REDUNDANCY48165.2019.9003313
Scopus: 2-s2.0-85081544906

406. Khrulkov, V., Hrinchuk, O., Oseledets, I.
(2019).Generalized tensor models for recurrent neural networks.
7th International Conference on Learning Representations, ICLR 2019,
Scopus: 2-s2.0-85083952733

407. Sharaev, M., Smirnov, A., Melnikova-Pitskhelauri, T., Orlov, V., Burnaev, E., Pronin, I., Pitskhelauri, D., Bernstein, A.
(2019).Functional brain areas mapping in patients with glioma based on resting-state fMRI data decomposition. IEEE International Conference on Data Mining Workshops, ICDMW,2018-292-298 DOI: 10.1109/ICDMW.2018.00049
Scopus: 2-s2.0-85062874716

408. Pominova, M., Kuzina, A., Kondrateva, E., Sushchinskaya, S., Burnaev, E., Yarkin, V., Sharaev, M.
(2019).Ensemble of 3D CNN Regressors with Data Fusion for Fluid Intelligence Prediction.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),11791158-166
DOI: 10.1007/978-3-030-31901-4_19
Scopus: 2-s2.0-85075671175

409. Matveev, S.A., Smirnov, A.P., Tyrtyshnikov, E.E.
(2019).The Effect of a Monomer Source on the Oscillation Period in an Irreversible Coagulation Model.
Computational Mathematics and Modeling,30(4) 378-382
DOI: 10.1007/s10598-019-09463-w
Scopus: 2-s2.0-85074707093

410. Zagidullin, R., Smirnov, A., Matveev, S., Tyrtyshnikov, E.
(2019).Supercomputer Modelling of Spatially-heterogeneous Coagulation using MPI and CUDA. Communications in Computer and Information Science,1129403-414
DOI: 10.1007/978-3-030-36592-9_33
Scopus: 2-s2.0-85076853092

411. Pavlov, S., Artemov, A., Sharaev, M., Bernstein, A., Burnaev, E.
(2019).Weakly supervised fine tuning approach for brain tumor segmentation problem.
Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019,1600-1605 DOI: 10.1109/ICMLA.2019.00263
Scopus: 2-s2.0-85080877455

412. Dzis, A., Rybin, P., Frolov, A.
(2019).On the Hard-Decision Multi-Threshold Decoding of Binary and Non-Binary LDPC Codes.
2019 16th International Symposium "Problems of Redundancy in Information and Control Systems", REDUNDANCY 2019,23-26
DOI: 10.1109/REDUNDANCY48165.2019.9003311
Scopus: 2-s2.0-85081621877

413. Pukalchik, M.A., Katrutsa, A.M., Shadrin, D., Terekhova, V.A., Oseledets, I.V.
(2019).Machine learning methods for estimation the indicators of phosphogypsum influence in soil. Journal of Soils and Sediments,19(5) 2265-2276
DOI: 10.1007/s11368-019-02253-2
Scopus: 2-s2.0-85060585369

414. Ivanov, F., Rybin, P., Afanassiev, V.
(2019).On the Performance of Slotted Vector-Disjunctive Channel.
2019 16th Canadian Workshop on Information Theory, CWIT 2019,
DOI: 10.1109/CWIT.2019.8929894
Scopus: 2-s2.0-85078010709

415. Velichkovsky, B.B., Khromov, N., Korotin, A., Burnaev, E., Somov, A.
(2019).Visual Fixations Duration as an Indicator of Skill Level in eSports.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),11746397-405
DOI: 10.1007/978-3-030-29381-9_25
Scopus: 2-s2.0-85072865720

416. Ustinova, D., Rybin, P., Frolov, A.
(2019).On the Analysis of T-Fold Coded Slotted ALOHA for a Fixed Error Probability.
International Congress on Ultra Modern Telecommunications and Control Systems and Workshops,2019
DOI: 10.1109/ICUMT48472.2019.8970878
Scopus: 2-s2.0-85079102108

417. Seipt, D., Kharin, V.Y., Rykovanov, S.G.
(2019).Optimizing Laser Pulses for Narrow-Band Inverse Compton Sources in the High-Intensity Regime.
Physical Review Letters,122(20)
DOI: 10.1103/PhysRevLett.122.204802
Scopus: 2-s2.0-85066874949

418. Pavlov, S.V., Nazmutdinov, R.R., Fedorov, M.V., Kislenko, S.A.
(2019).Role of graphene edges in the electron transfer kinetics: Insight from theory and molecular modeling.
Journal of Physical Chemistry C,
DOI: 10.1021/acs.jpcc.8b12531
Scopus: 2-s2.0-85063146814

419. Rybin, P., Frolov, A.
(2019).On the Decoding Radius Realized by Low-Complexity Decoded Non-Binary Irregular LDPC Codes.
Proceedings of 2018 International Symposium on Information Theory and Its Applications, ISITA 2018,384-388
DOI: 10.23919/ISITA.2018.8664375
Scopus: 2-s2.0-85063865592

420. Panov, M., Tsepa, S.
(2019).Constructing graph node embeddings via discrimination of similarity distributions.
IEEE International Conference on Data Mining Workshops, ICDMW,2018-1050-1053
DOI: 10.1109/ICDMW.2018.00152
Scopus: 2-s2.0-85062858978

421. Neskorniuk, V., Lukashchuk, A., Ovchinnikov, G., Küppers, F., Chipouline, A.
(2019).Dissipative dispersion-managed solitons in fiber-optic systems with lumped amplification. Optics Letters,44(11) 2657-2660
DOI: 10.1364/OL.44.002657
Scopus: 2-s2.0-85066436559

422. Ustinova, D., Glebov, A., Rybin, P., Frolov, A.
(2019).Efficient concatenated same codebook construction for the random access gaussian MAC. IEEE Vehicular Technology Conference,2019
DOI: 10.1109/VTCFall.2019.8891568
Scopus: 2-s2.0-85075253564

423. Vasilyeva, A.D., Yurina, L.V., Shchegolikhin, A.N., Bugrova, A.E., Konstantinova, T.S., Indeykina, M.I., Kononikhin, A.S., Nikolaev, E.N., Rosenfeld, M.A.
(2019).Hypochlorite-Induced Damage of Plasminogen Molecules: Structural-Functional Disturbance. Doklady Biochemistry and Biophysics,488(1) 332-337
DOI: 10.1134/S1607672919050144
Scopus: 2-s2.0-85075521782

424. Shadrin, D., Kulikov, V., Fedorov, M.
(2019).Instance segmentation for assessment of plant growth dynamics in artificial soilless conditions. British Machine Vision Conference 2018, BMVC 2018,
Scopus: 2-s2.0-85084013525

425. Brilliantov, N.V.
(2019).Time correlation functions and kinetic coefficients in systems with molecular or chemical exchange.
Journal of Molecular Liquids,286
DOI: 10.1016/j.molliq.2019.110934
Scopus: 2-s2.0-85065735979

426. Jiang, Z., Polyanskii, N.
(2019).On the metric dimension of Cartesian powers of a graph.
Journal of Combinatorial Theory. Series A,1651-14
DOI: 10.1016/j.jcta.2019.01.002
Scopus: 2-s2.0-85060458387

427. Smerdov, A., Burnaev, E., Somov, A.
(2019).ESports pro-players behavior during the game events: Statistical analysis of data obtained using the smart chair.
Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation,1768-1775
DOI: 10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00314
Scopus: 2-s2.0-85083569512

428. Korepanova, D., Nosyk, M., Ostrovsky, A., Yanovich, Y.
(2019).Building a private currency service using exonum.
2019 IEEE International Black Sea Conference on Communications and Networking
DOI: 10.1109/BlackSeaCom.2019.8812875
Scopus: 2-s2.0-85072325583

429. Nikolaev, E.N., Kostyukevich, Y.I., Vladimirov, G.
(2019).Fundamentals and simulations in FT-ICR-MS.
Fundamentals and Applications of Fourier Transform Mass Spectrometry,89-111
DOI: 10.1016/B978-0-12-814013-0.00004-1
Scopus: 2-s2.0-85081603795

430. Kabatiansky, G.
(2019).On the tracing traitors math: Dedicated to the memory of bob blakley - Pioneer of digital fingerprinting and inventor of secret sharing.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),11445371-380
DOI: 10.1007/978-3-030-16458-4_21
Scopus: 2-s2.0-85065495870

431. Karlov, D.S., Popov, P., Sosnin, S., Fedorov, M.V.
(2019).Message passing neural networks scoring functions for structure-based drug discovery. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),11731845-847
Scopus: 2-s2.0-85072964525

432. Usatyuk, V., Vorobyev, I.
(2019).Construction of high performance block and convolutional multi-edge type QC-LDPC codes. 2019 42nd International Conference on Telecommunications and Signal Processing,158-163
DOI: 10.1109/TSP.2019.8769083
Scopus: 2-s2.0-85071062718

433. Popov, P., Grudinin, S., Kurdiuk, A., Buslaev, P., Redon, S.
(2019).Controlled-advancement rigid-body optimization of nanosystems.
Journal of Computational Chemistry,40(27) 2391-2399
DOI: 10.1002/jcc.26016
Scopus: 2-s2.0-85068221164

434. Guseynov, A.-A.D., Pisarev, S.A., Shulga, D.A., Palyulin, V.A., Fedorov, M.V., Karlov, D.S. (2019).Computational characterization of the glutamate receptor antagonist perampanel and its close analogs: density functional exploration of conformational space and molecular docking study.
Journal of Molecular Modeling,25(10)
DOI: 10.1007/s00894-019-4188-z
Scopus: 2-s2.0-85072122586

435. Egorova, E.
(2019).Symmetric group testing with noise.
2019 16th International Symposium "Problems of Redundancy in Information and Control Systems", REDUNDANCY 2019,99-103
DOI: 10.1109/REDUNDANCY48165.2019.9003325
Scopus: 2-s2.0-85081557682

436. Yavich, N., Malovichko, M., Zhdanov, M.
(2019).Towards efficient finite-element EM modeling on hexahedral grids.
81st EAGE Conference and Exhibition 2019,
DOI: 10.3997/2214-4609.201901487
Scopus: 2-s2.0-85088205014

437. Plekhanova, Y.V., Tarasov, S.E., Somov, A.S., Bol'shin, D.S., Vishnevskaya, M.V., Gotovtsev, P.M., Reshetilov, A.N.
Nanotechnologies in Russia,14(11-12) 511-522
DOI: 10.1134/S1995078019060144
Scopus: 2-s2.0-85088645802

438. Kruglik, S., Nazirkhanova, K., Yanovich, Y.
(2019).Challenges beyond blockchain: Scaling, oracles and privacy preserving.
2019 16th International Symposium "Problems of Redundancy in Information and Control Systems", REDUNDANCY 2019,155-158
DOI: 10.1109/REDUNDANCY48165.2019.9003331
Scopus: 2-s2.0-85081557317

439. Pastushkova, L.K., Kashirina, D.N., Brzhozovskiy, A.G., Kononikhin, A.S., Tiys, E.S., Ivanisenko, V.A., Koloteva, M.I., Nikolaev, E.N., Larina, I.M.
(2019).Evaluation of cardiovascular system state by urine proteome after manned space flight.
Acta Astronautica,160594-600
DOI: 10.1016/j.actaastro.2019.02.015
Scopus: 2-s2.0-85062472001

440. Karlov, D.S., Barygin, O.I., Dron, M.Y., Palyulin, V.A., Grigoriev, V.V., Fedorov, M.V.
(2019).Short peptide with an inhibitory activity on the NMDA/Gly-induced currents.
SAR and QSAR in Environmental Research,30(9) 683-695
DOI: 10.1080/1062936X.2019.1653965
Scopus: 2-s2.0-85072198164

441. Egorov, E., Neklydov, K., Kostoev, R., Burnaev, E.
(2019).MaxEntropy Pursuit Variational Inference.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),11554409-417
DOI: 10.1007/978-3-030-22796-8_43
Scopus: 2-s2.0-85068588446

442. Rybin, P., Frolov, A.
(2019).On the Error Exponents of Capacity Approaching Construction of LDPC code.
International Congress on Ultra Modern Telecommunications and Control Systems and Workshops,2018
DOI: 10.1109/ICUMT.2018.8631262
Scopus: 2-s2.0-85062781601

443. Larina, I.M., Percy, A.J., Yang, J., Borchers, C.H., Nosovsky, A.M., Grigoriev, A.I., Nikolaev, E.N.
(2019).Publisher Correction: Protein expression changes caused by spaceflight as measured for 18 Russian cosmonauts (Scientific Reports, (2017), 7, 1, (8142), 10.1038/s41598-017-08432-w). Scientific Reports,9(1)
DOI: 10.1038/s41598-019-43121-w
Scopus: 2-s2.0-85066926066

444. Audet, M., White, K.L., Breton, B., Zarzycka, B., Han, G.W., Lu, Y., Gati, C., Batyuk, A., Popov, P., Velasquez, J., Manahan, D., Hu, H., Weierstall, U., Liu, W., Shui, W., Katritch, V., Cherezov, V., Hanson, M.A., Stevens, R.C.
(2019). Erratum to: Crystal structure of misoprostol bound to the labor inducer prostaglandin E2 receptor
Nature Chemical Biology,15(2)
DOI: 10.1038/s41589-018-0214-1
Scopus: 2-s2.0-85060117538

445. Rivera-Castro, R., Nazarov, I., Xiang, Y., Maksimov, I., Pletnev, A., Burnaev, E.
(2019).An industry case of large-scale demand forecasting of hierarchical components.
Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019,134-139 DOI: 10.1109/ICMLA.2019.00029
Scopus: 2-s2.0-85080854637

446. Kruglik, S., Rybin, P., Frolov, A.
(2019).On the secrecy capacity of distributed storage with locality and availability.
IEEE Vehicular Technology Conference,2019
DOI: 10.1109/VTCFall.2019.8891349
Scopus: 2-s2.0-85075253387

447. Luzik, D.A., Rogacheva, O.N., Izmailov, S.A., Indeykina, M.I., Kononikhin, A.S., Skrynnikov, N.R.
(2019).Molecular Dynamics model of peptide-protein conjugation: case study of covalent complex between Sos1 peptide and N-terminal SH3 domain from Grb2.
Scientific Reports,9(1)
DOI: 10.1038/s41598-019-56078-7
Scopus: 2-s2.0-85077342138

448. Antipova, K., Klyuchnikov, N., Zaytsev, A., Gurina, E., Romanenkova, E., Koroteev, D. (2019).Data-driven model for the drilling accidents prediction.
Proceedings - SPE Annual Technical Conference and Exhibition,2019-
DOI: 10.2118/195888-ms
Scopus: 2-s2.0-85079141848

449. Ivanov, F., Rybin, P., Afanassiev, V., Kreschuk, A.
(2019).On the Capacity Estimation of a Slotted Multiuser Communication Channel with Noise.
2019 16th International Symposium "Problems of Redundancy in Information and Control Systems", REDUNDANCY 2019,27-31
DOI: 10.1109/REDUNDANCY48165.2019.9003353
Scopus: 2-s2.0-85081568721

450. Kugusheva, A., Yanovich, Y.
(2019).Ring signature-based voting on blockchain.
ACM International Conference Proceeding Series,70-75
DOI: 10.1145/3376044.3376054
Scopus: 2-s2.0-85082539001

451. Burkov, A., Frolov, A., Rybin, P., Turlikov, A.
(2019).Achievability Bounds for Massive Random Access in the Gaussian MAC with Delay Constraints.
2019 16th International Symposium "Problems of Redundancy in Information and Control Systems", REDUNDANCY 2019,224-227
DOI: 10.1109/REDUNDANCY48165.2019.9003323
Scopus: 2-s2.0-85081600340

452. Ivanov, F., Rybin, P.
(2019).On the asymptotic capacity of slotted multiple access channel.
CITS 2019 - Proceeding of the 2019 International Conference on Computer, Information and Telecommunication Systems,
DOI: 10.1109/CITS.2019.8862110
Scopus: 2-s2.0-85074157292

453. Taktasheva, M., Matveev, A., Artemov, A., Burnaev, E.
(2019).Learning to approximate directional fields defined over 2D planes. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),11832367-374
DOI: 10.1007/978-3-030-37334-4_33
Scopus: 2-s2.0-85077506763

454. Arefyev, N., Sheludko, B., Panchenko, A.
(2019).Combining lexical substitutes in neural word sense induction.
International Conference Recent Advances in Natural Language Processing, RANLP,2019-62-70
DOI: 10.26615/978-954-452-056-4_008
Scopus: 2-s2.0-85076492620

455. Ivanov, F., Kreshchuk, A., Rybin, P., Afanassiev, V.
(2019).On the Capacity Estimation of a Slotted Multiuser Communication Channel.
International Congress on Ultra Modern Telecommunications and Control Systems and Workshops,2019-
DOI: 10.1109/ICUMT48472.2019.8970989
Scopus: 2-s2.0-85079084981

456. Ostanin, I.A.
(2019).Distinct element simulation of mechanical properties of hypothetical CNT nanofabrics. Supercomputing Frontiers and Innovations,6(2) 102-111
DOI: 10.14529/js190208
Scopus: 2-s2.0-85070746382

457. Puzyrev, D., Shelmanov, A., Panchenko, A., Artemova, E.
(2019).Noun compositionality detection using distributional semantics for the Russian language. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),11832218-229
DOI: 10.1007/978-3-030-37334-4_20
Scopus: 2-s2.0-85077503424

458. Kostyukevich, Y., Kitova, A., Zherebker, A., Rukh, S., Nikolaev, E.
(2019).Investigation of the archeological remains using ultrahigh resolution mass spectrometry. European Journal of Mass Spectrometry,25(4) 391-396
DOI: 10.1177/1469066719840287
Scopus: 2-s2.0-85068979406

459. Slavnov, K., Panov, M.
(2019).Overlapping community detection in weighted graphs: Matrix factorization approach. Communications in Computer and Information Science,7943-14
DOI: 10.1007/978-3-030-35400-8_1
Scopus: 2-s2.0-85076699259

460. Biamonte, J.D.
(2019).Editorial: Adiabatic Quantum Computation.
Frontiers in Physics,7
DOI: 10.3389/fphy.2019.00130
Scopus: 2-s2.0-85072830913

461. Larina, I.M., Pastushkova, L.K., Kononikhin, A.S., Nikolaev, E.N., Orlov, O.I.
(2019).Piloted space flight and post-genomic technologies.
DOI: 10.1016/j.reach.2020.100034
Scopus: 2-s2.0-85088250225

462. Kruglik, S., Madhwal, Y., Vorobyov, S., Yanovich, Y.
(2019).Fractional reservation based mempool processing in blockchains. ACM International Conference Proceeding Series,26-30 DOI: 10.1145/3376044.3376050
Scopus: 2-s2.0-85082534787

463. Ferrer, G.
(2019).Eigen-Factors: Plane Estimation for Multi-Frame and Time-Continuous Point Cloud Alignment. IEEE International Conference on Intelligent Robots and Systems,1278-1284
DOI: 10.1109/IROS40897.2019.8967573
Scopus: 2-s2.0-85081163041

464. Menshchikov, A., Ermilov, D., Dranitsky, I., Kupchenko, L., Panov, M., Fedorov, M., Somov, A. (2019).Data-Driven Body-Machine Interface for Drone Intuitive Control through Voice and Gestures. IECON Proceedings (Industrial Electronics Conference),2019-5602-5659
DOI: 10.1109/IECON.2019.8926635
Scopus: 2-s2.0-85084111875

465. Smirnov, A.M., Golinskaya, A.D., Kotin, P.A., Dorofeev, S.G., Zharkova, E.V., Palyulin, V.V., Mantsevich, V.N., Dneprovskii, V.S.
(2019).Damping of Cu-Associated Photoluminescence and Formation of Induced Absorption in Heavily Cu-Doped CdSe Quantum Dots.
Journal of Physical Chemistry C,
DOI: 10.1021/acs.jpcc.9b09918
Scopus: 2-s2.0-85074941667

466. D'Yachkov, A., Polyanskii, N., Shchukin, V., Vorobyev, I.
(2019).Separable Codes for the Symmetric Multiple-Access Channel.
IEEE Transactions on Information Theory,65(6) 3738-3750
DOI: 10.1109/TIT.2019.2893234
Scopus: 2-s2.0-85065985538

467. Ovchinnikov, G.V., Zorin, D., Oseledets, I.V.
(2019).Robust regularization of topology optimization problems with a posteriori error estimators. Russian Journal of Numerical Analysis and Mathematical Modelling,34(1) 57-69
DOI: 10.1515/rnam-2019-0005
Scopus: 2-s2.0-85061438765

468. Ivanov, D.G., Indeykina, M.I., Pekov, S.I., Iusupov, A.E., Bugrova, A.E., Kononikhin, A.S., Nikolaev, E.N., Popov, I.A.
(2019).Probabilistic model applied to ion abundances in product-ion spectra: quantitative analysis of aspartic acid isomerization in peptides.
Analytical and Bioanalytical Chemistry,411(29) 7783-7789
DOI: 10.1007/s00216-019-02174-6
Scopus: 2-s2.0-85075023830

469. Vasilyeva, A.D., Yurina, L.V., Bugrova, A.E., Indeykina, M.I., Azarova, D.Y., Bychkova, A.V., Akzhigitova, K.I., Kononikhin, A.S., Nikolaev, E.N., Rosenfeld, M.A.
(2019).Peroxide-Induced Oxidative Modification of Hemoglobin.
Doklady Biochemistry and Biophysics,486(1) 197-200
DOI: 10.1134/S1607672919030116
Scopus: 2-s2.0-85069990387

470. Burnaev, E.
(2019).Rare Failure Prediction via Event Matching for Aerospace Applications. 2019 3rd International Conference on Circuits, System and Simulation, ICCSS 2019,214-220 DOI: 10.1109/CIRSYSSIM.2019.8935598
Scopus: 2-s2.0-85077956887

471. Burnaev, E.V.
(2019).On Construction of Early Warning Systems for Predictive Maintenance in Aerospace Industry. Journal of Communications Technology and Electronics,64(12) 1473-1484
DOI: 10.1134/S1064226919120027
Scopus: 2-s2.0-85081153393

472. Athar, S., Burnaev, E., Lempitsky, V.
(2019).Latent convolutional models.
7th International Conference on Learning Representations, ICLR 2019,
Scopus: 2-s2.0-85083950200

473. Kononikhin, A.S., Zakharova, N.V., Yusupov, A.E., Ryabokon, A.M., Fedorchenko, K.Y., Indeykina, M.I., Bugrova, A.E., Spassky, A.I., Popov, I.A., Varfolomeev, S.D., Nikolaev, E.N. (2019).Study of the Molecular Composition of Exhaled Breath Condensate by High-Resolution Mass Spectrometry.
Russian Journal of Physical Chemistry B,13(6) 951-955
DOI: 10.1134/S1990793119060216
Scopus: 2-s2.0-85079466801

474. D'Yachkov, A., Polyanskii, N., Shchukin, V., Vorobyev, I.
(2019).Hypothesis test for bounds on the size of random defective set.
IEEE Transactions on Signal Processing,67(22) 5775-5784
DOI: 10.1109/TSP.2019.2940120
Scopus: 2-s2.0-85074190766

475. Ivanov, F., Rybin, P.
(2019).Novel Signal-Code Construction for Multiple Access System over Vector-Disjunctive Channel. Proceedings of 2018 International Symposium on Information Theory and Its Applications, ISITA 2018,560-564
DOI: 10.23919/ISITA.2018.8664331
Scopus: 2-s2.0-85063908991

476. Proskura, P., Zaytsev, A., Braslavsky, I., Egorov, E., Burnaev, E.
(2019).Usage of Multiple RTL Features for Earthquakes Prediction.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),11619556-565
DOI: 10.1007/978-3-030-24289-3_41
Scopus: 2-s2.0-85069158825

477. Jiang, Z., Polyanskii, N., Vorobyev, I.
(2019).On Capacities of the Two-User Union Channel with Complete Feedback.
IEEE Transactions on Information Theory,65(5) 2774-2781
DOI: 10.1109/TIT.2018.2889250
Scopus: 2-s2.0-85059045727

478. Deviatkin, D., Shelmanov, A., Larionov, D.
(2019).Discovering, Classification, and Localization of Emergency Events via Analyzing of Social Network Text Streams.
Communications in Computer and Information Science,1003180-196
DOI: 10.1007/978-3-030-23584-0_11
Scopus: 2-s2.085069453972

479. Buchstaber, V.M., Terzić, S.
(2019).Toric topology of the complex grassmann manifolds.
Moscow Mathematical Journal,19(3) 397-463
DOI: 10.17323/1609-4514-2019-19-3-397-463
Scopus: 2-s2.0-85069867997

480. Peng, Y., Zhang, L., Kong, W., Nie, F., Cichocki, A.
(2019).Joint Structured Graph Learning and Unsupervised Feature Selection.
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,2019-3572-3576
DOI: 10.1109/ICASSP.2019.8682439
Scopus: 2-s2.0-85068980193

481. Merkulov, D.M., Oseledets, I.V.
(2019).Empirical Study of Extreme Overfitting Points of Neural Networks.
Journal of Communications Technology and Electronics,64(12) 1527-1534
DOI: 10.1134/S1064226919120118
Scopus: 2-s2.0-85081044414

482. Chistova, E.V., Shelmanov, A.O., Kobozeva, M.V., Pisarevskaya, D.B., Smirnov, I.V., Toldova, S.Yu.
(2019).Classification models for rsT discourse parsing of texts in Russian.
Komp'juternaja Lingvistika i Intellektual'nye Tehnologii,2019-(18) 163-176
Scopus: 2-s2.0-85079005861

483. Rivera-Castro, R., Pletnev, A., Pilyugina, P., Diaz, G., Nazarov, I., Zhu, W., Burnaev, E. (2019).Topology-based clusterwise regression for user segmentation and demand forecasting. Proceedings - 2019 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2019,326-336
DOI: 10.1109/DSAA.2019.00048
Scopus: 2-s2.0-85079290419

484. Rivera-Castro, R., Pilyugina, P., Burnaev, E.
(2019).Topological data analysis for portfolio management of cryptocurrencies.
IEEE International Conference on Data Mining Workshops, ICDMW,2019-238-243
DOI: 10.1109/ICDMW.2019.00044
Scopus: 2-s2.0-85078774653

S5. Kopanichuk, I.V., Novikov, V.A., Vanin, A.A., Brodskaya, E.N.,
(2019) The electric properties of AOT reverse micelles by molecular dynamics simulations
Journal of Molecular Liquids, 296, 111960.
DOI: 10.1016/j.molliq.2019.111960
Scopus: 2-s2.0-85075466175

S13. Ustalov, D., Panchenko., A., Biemann., C., Ponzetto. S.
(2019) Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction.
Computational Linguistics. MIT Press.
MIT Press: doi/abs/10.1162/coli_a_00354
485. Babiloni, C., Barry, R.J., Başar, E., Blinowska, K.J., Cichocki, A., Drinkenburg, W.H.I.M., Klimesch, W., Knight, R.T., Lopes da Silva, F., Nunez, P., Oostenveld, R., Jeong, J., Pascual-Marqui, R., Valdes-Sosa, P., Hallett, M.
(2020).International Federation of Clinical Neurophysiology (IFCN) – EEG research workgroup: Recommendations on frequency and topographic analysis of resting state EEG rhythms. Part 1: Applications in clinical research studies.
Clinical Neurophysiology,131(1) 285-307
DOI: 10.1016/j.clinph.2019.06.234
Scopus: 2-s2.0-85071871317

486. Temirchev, P., Simonov, M., Kostoev, R., Burnaev, E., Oseledets, I., Akhmetov, A., Margarit, A., Sitnikov, A., Koroteev, D.
(2020).Deep neural networks predicting oil movement in a development unit.
Journal of Petroleum Science and Engineering,184
DOI: 10.1016/j.petrol.2019.106513
Scopus: 2-s2.0-85072765818

487. Jin, J., Li, S., Daly, I., Miao, Y., Liu, C., Wang, X., Cichocki, A.
(2020).The Study of Generic Model Set for Reducing Calibration Time in P300-Based Brain-Computer Interface.
IEEE Transactions on Neural Systems and Rehabilitation Engineering,28(1) 3-12
DOI: 10.1109/TNSRE.2019.2956488
Scopus: 2-s2.0-85078361807

488. Liu, Q., Jiao, Y., Miao, Y., Zuo, C., Wang, X., Cichocki, A., Jin, J.
(2020).Efficient representations of EEG signals for SSVEP frequency recognition based on deep multiset CCA.
DOI: 10.1016/j.neucom.2019.10.049
Scopus: 2-s2.0-85074508581

489. Břinda, K., Callendrello, A., Ma, K.C., MacFadden, D.R., Charalampous, T., Lee, R.S., Cowley, L., Wadsworth, C.B., Grad, Y.H., Kucherov, G., O'Grady, J., Baym, M., Hanage, W.P.
(2020).Rapid inference of antibiotic resistance and susceptibility by genomic neighbour typing.
Nature Microbiology,5(3) 455-464
DOI: 10.1038/s41564-019-0656-6
Scopus: 2-s2.0-85079454338

490. Gurina, E., Klyuchnikov, N., Zaytsev, A., Romanenkova, E., Antipova, K., Simon, I., Makarov, V., Koroteev, D.
(2020).Application of machine learning to accidents detection at directional drilling.
Journal of Petroleum Science and Engineering,184
DOI: 10.1016/j.petrol.2019.106519
Scopus: 2-s2.0-85073013367

491. Babiloni, C., Blinowska, K., Bonanni, L., Cichocki, A., De Haan, W., Del Percio, C., Dubois, B., Escudero, J., Fernández, A., Frisoni, G., Guntekin, B., Hajos, M., Hampel, H., Ifeachor, E., Kilborn, K., Kumar, S., Johnsen, K., Johannsson, M., Jeong, J., LeBeau, F., Lizio, R., Lopes da Silva, F., Maestú, F., McGeown, W.J., McKeith, I., Moretti, D.V., Nobili, F., Olichney, J., Onofrj, M., Palop, J.J., Rowan, M., Stocchi, F., Struzik, Z.M., Tanila, H., Teipel, S., Taylor, J.P., Weiergräber, M., Yener, G., Young-Pearse, T., Drinkenburg, W.H., Randall, F.
(2020).What electrophysiology tells us about Alzheimer's disease: a window into the synchronization and connectivity of brain neurons.
Neurobiology of Aging,8558-73
DOI: 10.1016/j.neurobiolaging.2019.09.008
Scopus: 2-s2.0-85074925638

492. Zuo, C., Jin, J., Yin, E., Saab, R., Miao, Y., Wang, X., Hu, D., Cichocki, A.
(2020).Novel hybrid brain–computer interface system based on motor imagery and P300.
Cognitive Neurodynamics,14(2) 253-265
DOI: 10.1007/s11571-019-09560-x
Scopus: 2-s2.0-85074558030

493. Palmieri, A.M., Kovlakov, E., Bianchi, F., Yudin, D., Straupe, S., Biamonte, J.D., Kulik, S. (2020).Experimental neural network enhanced quantum tomography.
npj Quantum Information,6(1)
DOI: 10.1038/s41534-020-0248-6
Scopus: 2-s2.0-85079130941

494. Sobsey, C.A., Ibrahim, S., Richard, V.R., Gaspar, V., Mitsa, G., Lacasse, V., Zahedi, R.P., Batist, G., Borchers, C.H.
(2020).Targeted and Untargeted Proteomics Approaches in Biomarker Development. Proteomics,20(9)
DOI: 10.1002/pmic.201900029
Scopus: 2-s2.0-85078835761

495. Pan, J., Xie, Q., Qin, P., Chen, Y., He, Y., Huang, H., Wang, F., Ni, X., Cichocki, A., Yu, R., Li, Y. (2020).Prognosis for patients with cognitive motor dissociation identified by brain-computer interface. Brain,143(3) 1177-1189
DOI: 10.1093/brain/awaa056
Scopus: 2-s2.0-85089126202

496. Zherebker, A., Shirshin, E., Rubekina, A., Kharybin, O., Kononikhin, A., Kulikova, N.A., Zaitsev, K.V., Roznyatovsky, V.A., Grishin, Y.K., Perminova, I.V., Nikolaev, E.N.
(2020).Optical Properties of Soil Dissolved Organic Matter Are Related to Acidic Functions of Its Components as Revealed by Fractionation, Selective Deuteromethylation, and Ultrahigh Resolution Mass Spectrometry.
Environmental Science and Technology,54(5) 2667-2677
DOI: 10.1021/acs.est.9b05298
Scopus: 2-s2.0-85080102980

497. Sergeeva, V.A., Zakharova, N.V., Bugrova, A.E., Starodubtseva, N.L., Indeykina, M.I., Kononikhin, A.S., Frankevich, V.E., Nikolaev, E.N.
(2020).The high-resolution mass spectrometry study of the protein composition of amyloid-like urine aggregates associated with preeclampsia.
European Journal of Mass Spectrometry,26(2) 158-161
DOI: 10.1177/1469066719860076
Scopus: 2-s2.0-85077145951

498. Lavrov, M.I., Karlov, D.S., Voronina, T.A., Grigoriev, V.V., Ustyugov, A.A., Bachurin, S.O., Palyulin, V.A.
(2020).Novel Positive Allosteric Modulators of AMPA Receptors Based on 3,7-Diazabicyclo[3.3.1]nonane Scaffold.
Molecular Neurobiology,57(1) 191-199
DOI: 10.1007/s12035-019-01768-6
Scopus: 2-s2.0-85073972299

499. Bodrova, A.S., Osinsky, A., Brilliantov, N.V.
(2020).Temperature distribution in driven granular mixtures does not depend on mechanism of energy dissipation.
Scientific Reports,10(1)
DOI: 10.1038/s41598-020-57420-0
Scopus: 2-s2.0-85078277195

500. Shepeleva, E.A., Schelkunov, M.I., Hroneš, M., Sochor, M., Dančák, M., Merckx, V.S., Kikuchi, I.A., Chantanaorrapint, S., Suetsugu, K., Tsukaya, H., Mar, S.S., Luu, H.T., Li, H.-Q., Logacheva, M.D., Nuraliev, M.S.
(2020).Phylogenetics of the mycoheterotrophic genus Thismia (Thismiaceae: Dioscoreales) with a focus on the Old World taxa: Delineation of novel natural groups and insights into the evolution of morphological traits.
Botanical Journal of the Linnean Society,193(3) 287-315
DOI: 10.1093/botlinnean/boaa017
Scopus: 2-s2.0-85088815772

501. Krylov, D., Dylov, D.V., Rosenblum, M.
(2020).Reinforcement learning for suppression of collective activity in oscillatory ensembles. Chaos,30(3)
DOI: 10.1063/1.5128909
Scopus: 2-s2.0-85082340731

502. Makepeace, K.A.T., Mohammed, Y., Rudashevskaya, E.L., Petrotchenko, E.V., Vögtle, F.-N., Meisinger, C., Sickmann, A., Borchers, C.H.
(2020).Improving identification of in-organello protein-protein interactions using an affinityenrichable, isotopically coded, and mass spectrometry-cleavable chemical crosslinker.
Molecular and Cellular Proteomics,19(4) 624-639
DOI: 10.1074/mcp.RA119.001839
Scopus: 2-s2.0-85082771285

503. Suvorov, A., Naumov, V., Shtratnikova, V., Logacheva, M., Shershebnev, A., Wu, H., Gerasimov, E., Zheludkevich, A., Pilsner, J.R., Sergeyev, O.
(2020).Rat liver epigenome programing by perinatal exposure to 2,2′,4′4′-tetrabromodiphenyl ether. Epigenomics,12(3) 235-249
DOI: 10.2217/epi-2019-0315
Scopus: 2-s2.0-85079342386

504. Brilliantov, N.V., Rubí, J.M., Budkov, Y.A.
(2020).Molecular fields and statistical field theory of fluids: Application to interface phenomena. Physical Review E,101(4)
DOI: 10.1103/PhysRevE.101.042135
Scopus: 2-s2.0-85084523209

505. Osinsky, A., Ivanov, A., Yarotsky, D.
(2020).Theoretical Performance Bound of Uplink Channel Estimation Accuracy in Massive MIMO. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,2020-4925-4929
DOI: 10.1109/ICASSP40776.2020.9053085
Scopus: 2-s2.0-85088298072

506. Ostanin, I.
(2020)."String art" approach to the design and manufacturing of optimal composite materials and structures.
Composite Structures,246
DOI: 10.1016/j.compstruct.2020.112396
Scopus: 2-s2.0-85084061560

507. Jana, A., Puzyrev, D., Panchenko, A., Goyal, P., Biemann, C., Mukherjee, A.
(2020).On the compositionality prediction of noun phrases using poincaré embeddings.
ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics,
Proceedings of the Conference,3263-3274
Scopus: 2-s2.0-85077504692

508. Omelchenko, D.O., Krinitsina, A.A., Belenikin, M.S., Konorov, E.A., Kuptsov, S.V., Logacheva, M.D., Speranskaya, A.S.
(2020).Complete plastome sequencing of Allium paradoxum reveals unusual rearrangements and the loss of the ndh genes as compared to Allium ursinum and other onions.
DOI: 10.1016/j.gene.2019.144154
Scopus: 2-s2.0-85075370039

509. Ivanov, A., Osinsky, A., Lakontsev, D., Yarotsky, D.
(2020).High Performance Interference Suppression in Multi-User Massive MIMO Detector.
IEEE Vehicular Technology Conference,2020-
DOI: 10.1109/VTC2020-Spring48590.2020.9128653
Scopus: 2-s2.0-85088301026

510. Bernstein, A., Burnaev, E., Sharaev, M., Kondrateva, E., Kachan, O.
(2020).Topological data analysis in computer vision.
Proceedings of SPIE - The International Society for Optical Engineering,11433
DOI: 10.1117/12.2562501
Scopus: 2-s2.0-85081181161

511. Aly, R., Acharya, S., Ossa, A., Köhn, A., Biemann, C., Panchenko, A.
(2020).Every child should have parents: A taxonomy refinement algorithm based on hyperbolic term embeddings.
ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference,4811-4817
Scopus: 2-s2.0-85084079066

512. Qiu, Y., Zhou, G., Zhang, Y., Cichocki, A.
(2020).Canonical polyadic decomposition (CPD) of big tensors with low multilinear rank.
Multimedia Tools and Applications,
DOI: 10.1007/s11042-020-08711-1
Scopus: 2-s2.0-85084146133

513. Vrubel, I.I., Pervishko, A.A., Yudin, D., Sanyal, B., Eriksson, O., Rodnyi, P.A.
(2020).Oxygen vacancy in ZnO- w phase: pseudohybrid Hubbard density functional study.
Journal of Physics Condensed Matter,32(31)
DOI: 10.1088/1361-648X/ab849d
Scopus: 2-s2.0-85085733274

514. Burmistrov, V., Morisseau, C., Karlov, D., Pitushkin, D., Vernigora, A., Rasskazova, E., Butov, G.M., Hammock, B.D.
(2020).Bioisosteric substitution of adamantane with bicyclic lipophilic groups improves water solubility of human soluble epoxide hydrolase inhibitors.
Bioorganic and Medicinal Chemistry Letters,30(18)
DOI: 10.1016/j.bmcl.2020.127430
Scopus: 2-s2.0-85088628815

515. Khodajou-Chokami, H., Bitarafan, A., Dylov, D.V., Soleymani Baghshah, M., Hosseini, S.A. (2020).Personalized Computational Human Phantoms via a Hybrid Model-based Deep Learning Method.
IEEE Medical Measurements and Applications, MeMeA 2020 - Conference Proceedings,
DOI: 10.1109/MeMeA49120.2020.9137114
Scopus: 2-s2.0-85088904328

516. Osinsky, A., Bodrova, A.S., Brilliantov, N.V.
(2020).Size-polydisperse dust in molecular gas: Energy equipartition versus nonequipartition. Physical Review E,101(2)
DOI: 10.1103/PhysRevE.101.022903
Scopus: 2-s2.0-85080028308

517. Tsukanov, A., Ivonin, D., Gotman, I., Gutmanas, E.Y., Grachev, E., Pervikov, A., Lerner, M.
(2020).Effect of cold-sintering parameters on structure, density, and topology of fe-Cu nanocomposites.
DOI: 10.3390/ma13030541
Scopus: 2-s2.0-85079629762

518. Jones, F.M., Arteta, C., Zisserman, A., Lempitsky, V., Lintott, C.J., Hart, T.
(2020).Processing citizen science- and machine-annotated time-lapse imagery for biologically meaningful metrics.
Scientific Data,7(1)
DOI: 10.1038/s41597-020-0442-6
Scopus: 2-s2.0-85082561764

519. Akter, M.S., Islam, M.R., Iimura, Y., Sugano, H., Fukumori, K., Wang, D., Tanaka, T., Cichocki, A. (2020).Multiband entropy-based feature-extraction method for automatic identification of epileptic focus based on high-frequency components in interictal iEEG.
Scientific Reports,10(1)
DOI: 10.1038/s41598-020-62967-z
Scopus: 2-s2.0-85084007168

520. Arsalidou, M., Vijayarajah, S., Sharaev, M.
(2020).Basal ganglia lateralization in different types of reward.
Brain Imaging and Behavior,
DOI: 10.1007/s11682-019-00215-3
Scopus: 2-s2.0-85077713671

521. Santo, K.P., Vishnyakov, A.
(2020).Reversible aggregation of particles with short oligomeric sidechains at the surface studied with Langevin dynamics.
Colloids and Surfaces A: Physicochemical and Engineering Aspects,586
DOI: 10.1016/j.colsurfa.2019.124143
Scopus: 2-s2.0-85075427889

522. Burmistrov, V., Morisseau, C., D'yachenko, V., Karlov, D., Butov, G.M., Hammock, B.D. (2020).Imidazolidine-2,4,5- and pirimidine-2,4,6-triones – New primary pharmacophore for soluble epoxide hydrolase inhibitors with enhanced water solubility.
Bioorganic and Medicinal Chemistry Letters,30(3)
DOI: 10.1016/j.bmcl.2019.126908
Scopus: 2-s2.0-85076859789

523. Pastushkova, L.H., Rusanov, V.B., Orlov, O.I., Goncharova, A.G., Chernikova, A.G., Kashirina, D.N., Kussmaul, A.R., Brzhozovskiy, A.G., Kononikhin, A.S., Kireev, K.S., Nosovsky, A.M., Nikolaev, E.N., Larina, I.M.
(2020).The variability of urine proteome and coupled biochemical blood indicators in cosmonauts with different preflight autonomic status.
Acta Astronautica,168204-210
DOI: 10.1016/j.actaastro.2019.12.015
Scopus: 2-s2.0-85076841668

524. Wang, J., Wu, M., Wu, L., Xu, Y., Li, F., Wu, Y., Popov, P., Wang, L., Bai, F., Zhao, S., Liu, Z.-J., Hua, T.
(2020).The structural study of mutation-induced inactivation of human muscarinic receptor M4. IUCrJ,7294-305
DOI: 10.1107/S2052252520000597
Scopus: 2-s2.0-85081569752

525. Vishnyakov, A., Weathers, T., Hosangadi, A., Chiew, Y.C.
(2020).Molecular models for phase equilibria of alkanes with air components and combustion products II. Alkane – Oxygen mixtures.
Fluid Phase Equilibria,520
DOI: 10.1016/j.fluid.2020.112650
Scopus: 2-s2.0-85081964377

526. Li, S., Jin, J., Daly, I., Zuo, C., Wang, X., Cichocki, A.
(2020).Comparison of the ERP-Based BCI Performance Among Chromatic (RGB) Semitransparent Face Patterns.
Frontiers in Neuroscience,14
DOI: 10.3389/fnins.2020.00054
Scopus: 2-s2.0-85079507879

527. Logacheva, M.D., Schelkunov, M.I., Fesenko, A.N., Kasianov, A.S., Penin, A.A. (2020).Mitochondrial genome of fagopyrum esculentum and the genetic diversity of extranuclear genomes in buckwheat.
DOI: 10.3390/plants9050618
Scopus: 2-s2.0-85085311305

528. Tokareva, A.O., Chagovets, V.V., Starodubtseva, N.L., Nazarova, N.M., Nekrasova, M.E., Kononikhin, A.S., Frankevich, V.E., Nikolaev, E.N., Sukhikh, G.T.
(2020).Feature selection for OPLS discriminant analysis of cancer tissue lipidomics data.
Journal of Mass Spectrometry,55(1)
DOI: 10.1002/jms.4457
Scopus: 2-s2.0-85076525454

529. Burgess, S., Wang, Z., Vishnyakov, A., Neimark, A.V.
(2020).Adhesion, intake, and release of nanoparticles by lipid bilayers.
Journal of Colloid and Interface Science,56158-70
DOI: 10.1016/j.jcis.2019.11.106
Scopus: 2-s2.0-85076033513

530. Volkhonskiy, D., Nazarov, I., Burnaev, E.
(2020).Steganographic generative adversarial networks. Proceedings of SPIE - The International Society for Optical Engineering,11433
DOI: 10.1117/12.2559429
Scopus: 2-s2.0-85081173003

531. Vishnyakov, A., Weathers, T., Hosangadi, A., Chiew, Y.C.
(2020).Molecular models for phase equilibria of alkanes with air components and combustion products I. Alkane mixtures with nitrogen, CO2 and water. Fluid Phase Equilibria,514
DOI: 10.1016/j.fluid.2020.112553
Scopus: 2-s2.0-85081984759

532. Shadrin, D., Pukalchik, M., Kovaleva, E., Fedorov, M.
(2020).Artificial intelligence models to predict acute phytotoxicity in petroleum contaminated soils. Ecotoxicology and Environmental Safety,194
DOI: 10.1016/j.ecoenv.2020.110410
Scopus: 2-s2.0-85081226363

533. Bychkova, A.V., Lopukhova, M.V., Wasserman, L.A., Pronkin, P.G., Degtyarev, Y.N., Shalupov, A.I., Vasilyeva, A.D., Yurina, L.V., Kovarski, A.L., Kononikhin, A.S., Nikolaev, E.N.
(2020).Interaction between immunoglobulin G and peroxidase-like iron oxide nanoparticles: Physicochemical and structural features of the protein.
Biochimica et Biophysica Acta - Proteins and Proteomics,1868(1)
DOI: 10.1016/j.bbapap.2019.140300
Scopus: 2-s2.0-85074487656

534. Gubarev, V.M., Yakovlev, V.Y., Sertsu, M.G., Yakushev, O.F., Krivtsun, V.M., Gladush, Y.G., Ostanin, I.A., Sokolov, A., Schäfers, F., Medvedev, V.V., Nasibulin, A.G.
(2020).Corrigendum to "Single-walled carbon nanotube membranes for optical applications in the extreme ultraviolet rang" (Carbon (2019) 155 (734–739), (S0008622319309054), (10.1016/j.carbon.2019.09.006)).
DOI: 10.1016/j.carbon.2019.10.007
Scopus: 2-s2.0-85074107952

535. Starodubtseva, N., Nizyaeva, N., Baev, O., Bugrova, A., Gapaeva, M., Muminova, K., Kononikhin, A., Frankevich, V., Nikolaev, E., Sukhikh, G.
(2020).SERPINA1 peptides in urine as a potential marker of preeclampsia severity.
International Journal of Molecular Sciences,21(3)
DOI: 10.3390/ijms21030914
Scopus: 2-s2.0-85078978008

536. Bondarenko, A., Hagen, M., Potthast, M., Wachsmuth, H., Beloucif, M., Biemann, C., Panchenko, A., Stein, B.
(2020).Touché: First shared task on argument retrieval.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),12036517-523
DOI: 10.1007/978-3-030-45442-5_67
Scopus: 2-s2.0-85084176977

537. Vrubel, I.I., Pervishko, A.A., Herper, H., Brena, B., Eriksson, O., Yudin, D.
(2020).An ab initio perspective on scanning tunneling microscopy measurements of the tunable Kondo resonance of the TbPc2 molecule on a gold substrate.
Physical Review B,101(12)
DOI: 10.1103/PhysRevB.101.125106
Scopus: 2-s2.0-85083204614

538. Matveev, A., Artemov, A., Zorin, D., Burnaev, E.
(2020).Geometric attention for prediction of differential properties in 3d point clouds.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),12294113-124
DOI: 10.1007/978-3-030-58309-5_9
Scopus: 2-s2.0-85091281933

539. Shtratnikova, V.Y., Rudenskaya, Y.A., Gerasimov, E.S., Schelkunov, M.I., Logacheva, M.D., Kolesnikov, A.A.
(2020).Complete genome assembly data of paenibacillus sp. RUD330, a hypothetical symbiont of euglena gracilis.
Data in Brief,32
DOI: 10.1016/j.dib.2020.106070
Scopus: 2-s2.0-85088963652

540. Uvarov, A., Biamonte, J.D., Yudin, D.
(2020).Variational quantum eigensolver for frustrated quantum systems.
Physical Review B,102(7)
DOI: 10.1103/PhysRevB.102.075104
Scopus: 2-s2.0-85090128493

541. Davydov, V., Yanovich, Y.
(2020).Optimal portfolio sold-out via blockchain tokenization.
ACM International Conference Proceeding Series,129-136
DOI: 10.1145/3409934.3409950
Scopus: 2-s2.0-85090881232

542. Poverennaya, E., Kiseleva, O., Ilgisonis, E., Novikova, S., Kopylov, A., Ivanov, Y., Kononikhin, A., Gorshkov, M., Kushlinskii, N., Archakov, A., Ponomarenko, E.
(2020).Is it possible to find needles in a haystack? Meta-analysis of 1000+ MS/MS files provided by the Russian proteomic consortium for mining missing proteins.
DOI: 10.3390/PROTEOMES8020012
Scopus: 2-s2.0-85086665001

543. Fokina, D., Muravleva, E., Ovchinnikov, G., Oseledets, I.
(2020).Microstructure synthesis using style-based generative adversarial networks.
Physical Review E,101(4)
DOI: 10.1103/PhysRevE.101.043308
Scopus: 2-s2.0-85084604189

544. Shtratnikova, V.Y., Schelkunov, M.I., Penin, A.A., Logacheva, M.D.
(2020).Mitochondrial genome of the nonphotosynthetic mycoheterotrophic plant Hypopitys monotropa, its structure, gene expression and RNA editing.
DOI: 10.7717/peerj.9309
Scopus: 2-s2.0-85088888317

545. Egiazarian, V., Ignatyev, S., Artemov, A., Voynov, O., Kravchenko, A., Zheng, Y., Velho, L., Burnaev, E.
(2020).Latent-space laplacian pyramids for adversarial representation learning with 3D point clouds. VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications,4421-428
Scopus: 2-s2.0-85083551568

546. Shadrin, D., Menshchikov, A., Somov, A., Bornemann, G., Hauslage, J., Fedorov, M. (2020).Enabling Precision Agriculture through Embedded Sensing with Artificial Intelligence.
IEEE Transactions on Instrumentation and Measurement,69(7) 4103-4113
DOI: 10.1109/TIM.2019.2947125
Scopus: 2-s2.0-85087089265

547. Egorova, E., Fernandez, M., Kabatiansky, G.
(2020).On non-binary traceability set systems.
Designs, Codes, and Cryptography,88(9) 1885-1892
DOI: 10.1007/s10623-020-00749-4
Scopus: 2-s2.0-85082825699

548. Gaither, C., Popp, R., Mohammed, Y., Borchers, C.H.
(2020).Determination of the concentration range for 267 proteins from 21 lots of commercial human plasma using highly multiplexed multiple reaction monitoring mass spectrometry.
Analyst,145(10) 3634-3644
DOI: 10.1039/c9an01893j
Scopus: 2-s2.0-85084910096

549. Beliavskaia, A.Y., Predeus, A.V., Garushyants, S.K., Logacheva, M.D., Gong, J., Zou, S., Gelfand, M.S., Rautian, M.S.
(2020).New intranuclear symbiotic bacteria from macronucleus of Paramecium putrinum-"Candidatus Gortzia Yakutica".
DOI: 10.3390/D12050198
Scopus: 2-s2.0-85085695762

550. Zherebker, A., Yakimov, B., Rubekina, A., Kharybin, O., Fedoros, E.I., Perminova, I.V., Shirshin, E., Nikolaev, E.N.
(2020).Photoreactivity of humic-like polyphenol material under irradiation with different wavelengths explored by FTICR MS and deuteromethylation.
European Journal of Mass Spectrometry,26(4) 292-300
DOI: 10.1177/1469066720917067
Scopus: 2-s2.0-85083070394

551. Koshelev, I., Somov, A., Lefkimmiatis, S., Rodriguez-Sanchez, A.
(2020).Deconvolution of Image Sequences with a Learning FFT-based Approach.
IEEE International Symposium on Industrial Electronics,2020-1381-1386
DOI: 10.1109/ISIE45063.2020.9152463
Scopus: 2-s2.0-85089509905

552 Malovichko, M., Khokhlov, N., Yavich, N., Zhdanov, M.S.
(2020).Incorporating known petrophysical model in the seismic full-waveform inversion using the Gramian constraint.
Geophysical Prospecting,68(4) 1361-1378
DOI: 10.1111/1365-2478.12932
Scopus: 2-s2.0-85079458199

553. Koposov, D., Semenova, M., Somov, A., Lange, A., Stepanov, A., Burnaev, E.
(2020).Analysis of the Reaction Time of eSports Players through the Gaze Tracking and Personality Trait.
IEEE International Symposium on Industrial Electronics,2020-1560-1565
DOI: 10.1109/ISIE45063.2020.9152422
Scopus: 2-s2.0-85089505683

554. Bakulin, I., Zabirova, A., Lagoda, D., Poydasheva, A., Cherkasova, A., Pavlov, N., Kopnin, P., Sinitsyn, D., Kremneva, E., Fedorov, M., Gnedovskaya, E., Suponeva, N., Piradov, M. (2020).Combining HF rTMS over the left DLPFC with concurrent cognitive activity for the offline modulation of working memory in healthy volunteers: A proof-of-concept study.
Brain Sciences,10(2)
DOI: 10.3390/brainsci10020083
Scopus: 2-s2.0-85079093369

555. Pukalchik, M., Kydralieva, K., Yakimenko, O., Terekhova, V.
(2020).Effect of organic substances on wheat (Triticum spp.) productivity and soil enzyme functional stability under drought stress conditions.
Research on Crops,21(2) 210-214
DOI: 10.31830/2348-7542.2020.036
Scopus: 2-s2.0-85087447883

556. Kabatiansky, G., Egorova, E.
(2020).Adversarial multiple access channels and a new model of multimedia fingerprinting coding. 2020 IEEE Conference on Communications and Network Security, CNS 2020,
DOI: 10.1109/CNS48642.2020.9162248
Scopus: 2-s2.0-85090156984

557. Vrubel, I.I., Pervishko, A.A.
(2020).Study of the Electronic Structure of Complexes of Copper Phthalocyanine CuPc with a Lithium Atom.
JETP Letters,111(5) 293-297
DOI: 10.1134/S0021364020050100
Scopus: 2-s2.0-85084448457

558. Richard, V.R., Zahedi, R.P., Eintracht, S., Borchers, C.H.
(2020).An LC-MRM assay for the quantification of metanephrines from dried blood spots for the diagnosis of pheochromocytomas and paragangliomas. Analytica Chimica Acta,1128140-148 DOI: 10.1016/j.aca.2020.06.020 Scopus: 2-s2.0-85088098682

559. Crochemore, M., Héliou, A., Kucherov, G., Mouchard, L., Pissis, S.P., Ramusat, Y.
(2020).Absent words in a sliding window with applications.
Information and Computation,270
DOI: 10.1016/j.ic.2019.104461
Scopus: 2-s2.0-85071718815

560 Velichkovsky, B., Nedoluzhko, A., Goldberg, E., Efimova, O., Sharko, F., Rastorguev, S., Krasivskaya, A., Sharaev, M., Korosteleva, A., Ushakov, V.
(2020).New Insights into the Human Brain's Cognitive Organization: Views from the Top, from the Bottom, from the Left and, particularly, from the Right.
Procedia Computer Science,169547-557
DOI: 10.1016/j.procs.2020.02.211
Scopus: 2-s2.0-85084488449

561. Artemenkov, A., Panov, M.
(2020).NCVis: Noise Contrastive Approach for Scalable Visualization.
The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020,2941-2947
DOI: 10.1145/3366423.3380061
Scopus: 2-s2.0-85086580313

562. Alanov, A., Kochurov, M., Volkhonskiy, D., Yashkov, D., Burnaev, E., Vetrov, D.
(2020).User-controllable multi-texture synthesis with generative adversarial networks.
VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications,4214-221
Scopus: 2-s2.0-85083560688

563. Koshev, N., Yavich, N., Malovichko, M., Skidchenko, E., Fedorov, M.
(2020).FEM-based Scalp-to-Cortex EEG data mapping via the solution of the Cauchy problem. Journal of Inverse and Ill-Posed Problems,28(4) 517-532
DOI: 10.1515/jiip-2019-0065
Scopus: 2-s2.0-85085642268

564. Barabanau, I., Artemov, A., Burnaev, E., Murashkin, V.
(2020).Monocular 3D object detection via geometric reasoning on keypoints.
VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications,5652-659
Scopus: 2-s2.0-85083516607

565. Lehky, S.R., Phan, A.H., Cichocki, A., Tanaka, K.
(2020).Face representations via tensorfaces of various complexities.
Neural Computation,32(2) 281-329
DOI: 10.1162/neco_a_01258
Scopus: 2-s2.0-85078561258

566. Holzbaur, L., Polyanskaya, R., Polyanskii, N., Vorobyev, I.
(2020).Lifted Reed-Solomon Codes with Application to Batch Codes.
IEEE International Symposium on Information Theory - Proceedings,2020-634-639
DOI: 10.1109/ISIT44484.2020.9174402
Scopus: 2-s2.0-85090409513

567. Tichavsky, P., Phan, A.-H., Cichocki, A.
(2020).Weighted Krylov-Levenberg-Marquardt Method for Canonical Polyadic Tensor Decomposition. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,2020-3917-3921
DOI: 10.1109/ICASSP40776.2020.9054312
Scopus: 2-s2.0-85089232378

568. Smirnov, A.S., Melnikova-Pitskhelauri, T.V., Sharaev, M.G., Zhukov, V.Y., Pogosbekyan, E.L., Afandiev, R.M., Bozhenko, A.A., Yarkin, V.E., Chekhonin, I.V., Buklina, S.B., Bykanov, A.E., Ogurtsova, A.A., Kulikov, A.S., Bernshtein, A.V., Burnaev, E.V., Pitskhelauri, D.I., Pronin, I.N. (2020).Resting-state fMRI in preoperative non-invasive mapping in patients with left hemisphere glioma.
Zhurnal voprosy neirokhirurgii imeni N. N. Burdenko,84(4) 17-25
DOI: 10.17116/neiro20208404117
Scopus: 2-s2.0-85089170507

569. Temnyakova, N.S., Vasilenko, D.A., Barygin, O.I., Dron, M.Y., Averina, E.B., Grishin, Y.K., Grigoriev, V.V., Palyulin, V.A., Fedorov, M.V., Karlov, D.S.
(2020).Ifenprodil-like NMDA receptor modulator based on the biphenyl scaffold.
Mendeleev Communications,30(3) 342-343
DOI: 10.1016/j.mencom.2020.05.027
Scopus: 2-s2.0-85086086225

570. Belazzougui, D., Kucherov, G.
(2020).Efficient Tree-Structured Categorical Retrieval.
Leibniz International Proceedings in Informatics, LIPIcs,161
DOI: 10.4230/LIPIcs.CPM.2020.4
Scopus: 2-s2.0-85088373026

571. Vasilyeva, A.D., Yurina, L.V., Leonova, V.B., Azarova, D.Y., Bugrova, A.E., Konstantinova, T.S., Indeykina, M.I., Kononikhin, A.S., Nikolaev, E.N., Rosenfeld, M.A.
(2020).Oxidative Modification of Coagulation Factor XIII: Structural and Functional Aspects.
Russian Journal of Physical Chemistry B,14(3) 468-478
DOI: 10.1134/S1990793120030276
Scopus: 2-s2.0-85088843694

572. Andreev, K., Marshakov, E., Frolov, A.
(2020).A Polar Code Based TIN-SIC Scheme for the Unsourced Random Access in the Quasi-Static Fading MAC.
IEEE International Symposium on Information Theory - Proceedings,2020-3019-3024 DOI: 10.1109/ISIT44484.2020.9174247
Scopus: 2-s2.0-85090415425

573. Phan, A.-H., Cichocki, A., Oseledets, I., Calvi, G.G., Ahmadi-Asl, S., Mandic, D.P.
(2020).Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition.
IEEE Transactions on Neural Networks and Learning Systems,31(6) 2174-2188
DOI: 10.1109/TNNLS.2019.2929063
Scopus: 2-s2.0-85085904799

574. Eshghi, A., Pistawka, A.J., Liu, J., Chen, M., Sinclair, N.J.T., Hardie, D.B., Elliott, M., Chen, L., Newman, R., Mohammed, Y., Borchers, C.H.
(2020).Concentration determination of >200 proteins in dried blood spots for biomarker discovery and validation.
Molecular and Cellular Proteomics,19(3) 540-553
DOI: 10.1074/mcp.TIR119.001820
Scopus: 2-s2.0-85081069982

575. Stefonishin, D.A., Matveev, S.A., Zheltkov, D.A.
(2020).Tensors in Modelling Multi-particle Interactions.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),11958173-180
DOI: 10.1007/978-3-030-41032-2_19
Scopus: 2-s2.0-85081140001

576. Gavrilov, A.A., Zharikova, A.A., Galitsyna, A.A., Luzhin, A.V., Rubanova, N.M., Golov, A.K., Petrova, N.V., Logacheva, M.D., Kantidze, O.L., Ulianov, S.V., Magnitov, M.D., Mironov, A.A., Razin, S.V.
(2020).Studying RNA-DNA interactome by Red-C identifies noncoding RNAs associated with various chromatin types and reveals transcription dynamics.
Nucleic acids research,48(12) 6699-6714
DOI: 10.1093/nar/gkaa457
Scopus: 2-s2.0-85088207090

577. Zherebker, A.Y., Rukhovich, G.D., Kharybin, O.N., Fedoros, E.I., Perminova, I.V., Nikolaev, E.N. (2020).Fourier transform ion cyclotron resonance mass spectrometry for the analysis of molecular composition and batch-to-batch consistency of plant-derived polyphenolic ligands developed for biomedical application.
Rapid Communications in Mass Spectrometry,34(18)
DOI: 10.1002/rcm.8850
Scopus: 2-s2.0-85089420579

578. Polyanskii, N., Vorobyev, I.
(2020).Duplication with transposition distance to the root for q-ary strings. IEEE International Symposium on Information Theory - Proceedings,2020-2903-2908
DOI: 10.1109/ISIT44484.2020.9174324
Scopus: 2-s2.0-85090414755

579. Kozlov, S., Poyda, A., Orlov, V., Malakhov, D., Ushakov, V., Sharaev, M.
(2020).Selection of functionally homogeneous brain regions based on correlation-clustering analysis. Procedia Computer Science,169519-526
DOI: 10.1016/j.procs.2020.02.215
Scopus: 2-s2.0-85084505369

580. Muravleva, E.A., Oseledets, I.V., Koroteev, D.A.
(2020).Model order reduction in viscoplastic flow modelling using proper orthogonal decomposition and neural networks.
Proceedings of the 6th European Conference on Computational Mechanics: Solids, Structures and Coupled Problems, ECCM 2018 and 7th European Conference on Computational Fluid Dynamics, ECFD 2018,2475-2487
Scopus: 2-s2.0-85081050690

581. Vorobyev, I.
(2020).Optimal Multistage Group Testing Algorithm for 3 Defectives.
IEEE International Symposium on Information Theory - Proceedings,2020-90-95
DOI: 10.1109/ISIT44484.2020.9173966
Scopus: 2-s2.0-85090407722

582. Smirnov, A., Zaytsev, A.
(2020).Computational algorithm for reduction type of CM abelian varieties.
Journal of Algebra,542412-429
DOI: 10.1016/j.jalgebra.2019.08.032
Scopus: 2-s2.0-85074418236

583. Nabieva, E., Sharma, S.M., Kapushev, Y., Garushyants, S.K., Fedotova, A.V., Moskalenko, V.N., Serebrenikova, T.E., Glazyrina, E., Kanivets, I.V., Pyankov, D.V., Neretina, T.V., Logacheva, M.D., Bazykin, G.A., Yarotsky, D.
(2020).Accurate fetal variant calling in the presence of maternal cell contamination.
European Journal of Human Genetics,
DOI: 10.1038/s41431-020-0697-6
Scopus: 2-s2.0-85088785781

584. Osinsky, A.I.
(2020).Low-rank method for fast solution of generalized Smoluchowski equations.
Journal of Computational Physics,422
DOI: 10.1016/
Scopus: 2-s2.0-85089547024

585. Peng, Y., Li, Q., Kong, W., Zhang, J., Lu, B.-L., Cichocki, A.
(2020).Joint Semi-Supervised Feature Auto-Weighting and Classification Model for EEG-Based Cross-Subject Sleep Quality Evaluation.
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,2020-946-950
DOI: 10.1109/ICASSP40776.2020.9053721
Scopus: 2-s2.0-85089222208

586. Kutuzov, A., Dorgham, M., Oliynyk, O., Biemann, C., Panchenko, A.
(2020).Making fast graph-based algorithms with graph metric embeddings.
ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference,3349-3355
Scopus: 2-s2.0-85084064456

587. Ivanov, D.G., Pekov, S.I., Bocharov, K.V., Bormotov, D.S., Spasskiy, A.I., Zhvansky, E.S., Sorokin, A.A., Eliferov, V.A., Zavorotnyuk, D.S., Tkachenko, S.I., Khaliullin, I.G., Kuksin, A.Y., Shurkhay, V.A., Kononikhin, A.S., Nikolaev, E.N., Popov, I.A.
(2020).Novel Mass Spectrometric Utilities for Assisting in Oncological Surgery.
Russian Journal of Physical Chemistry B,14(3) 483-487
DOI: 10.1134/S1990793120030173
Scopus: 2-s2.0-85088832964

588. Nesteruk, S., Shadrin, D., Kovalenko, V., Rodriguez-Sanchez, A., Somov, A.
(2020).Plant Growth Prediction through Intelligent Embedded Sensing.
IEEE International Symposium on Industrial Electronics,2020-411-416
DOI: 10.1109/ISIE45063.2020.9152399
Scopus: 2-s2.0-85089479332

589. Baglai, M., Sokolewicz, R.J., Pervishko, A., Katsnelson, M.I., Eriksson, O., Yudin, D., Titov, M. (2020).Giant anisotropy of Gilbert damping in a Rashba honeycomb antiferromagnet.
Physical Review B,101(10)
DOI: 10.1103/PhysRevB.101.104403
Scopus: 2-s2.0-85083328797

590. Sedighin, F., Cichocki, A., Yokota, T., Shi, Q.
(2020).Matrix and Tensor Completion in Multiway Delay Embedded Space Using Tensor Train, with Application to Signal Reconstruction.
IEEE Signal Processing Letters,27810-814
DOI: 10.1109/LSP.2020.2990313
Scopus: 2-s2.0-85087170468

591. Chen, Z., Jin, J., Daly, I., Zuo, C., Wang, X., Cichocki, A.
(2020).Effects of Visual Attention on Tactile P300 BCI.
Computational Intelligence and Neuroscience,2020
DOI: 10.1155/2020/6549189
Scopus: 2-s2.0-85081017110

592. Kowshik, S.S., Andreev, K., Frolov, A., Polyanskiy, Y.
(2020).Energy Efficient Coded Random Access for the Wireless Uplink.
IEEE Transactions on Communications,68(8) 4694-4708
DOI: 10.1109/TCOMM.2020.3000635
Scopus: 2-s2.0-85089873105

593. Osipenko, S., Bashkirova, I., Sosnin, S., Kovaleva, O., Fedorov, M., Nikolaev, E., Kostyukevich, Y.
(2020).Machine learning to predict retention time of small molecules in nano-HPLC.
Analytical and Bioanalytical Chemistry,
DOI: 10.1007/s00216-020-02905-0
Scopus: 2-s2.0-85089992629

594. Kondrateva, E., Belozerova, P., Sharaev, M., Burnaev, E., Bernstein, A., Samotaeva, I. (2020).Machine learning models reproducibility and validation for MR images recognition. Proceedings of SPIE - The International Society for Optical Engineering,11433
DOI: 10.1117/12.2559525
Scopus: 2-s2.0-85081177607

595. Subramanian, V., Ratkova, E., Palmer, D., Engkvist, O., Fedorov, M., Llinas, A. (2020).Multisolvent Models for Solvation Free Energy Predictions Using 3D-RISM Hydration Thermodynamic Descriptors.
Journal of Chemical Information and Modeling,60(6) 2977-2988
DOI: 10.1021/acs.jcim.0c00065
Scopus: 2-s2.0-85086793302

596. Bakulin, I.S., Zabirova, A.H., Kopnin, P.N., Sinitsyn, D.O., Poydasheva, A.G., Fedorov, M.V., Gnedovskaya, E.V., Suponeva, N.A., Piradov, M.A.
(2020).Cerebral cortex activation during the Sternberg verbal working memory task.
Bulletin of Russian State Medical University,(1) 40-48
DOI: 10.24075/BRSMU.2020.013
Scopus: 2-s2.0-85085621842

597. Karlov, D.S., Sosnin, S., Fedorov, M.V., Popov, P.
(2020).GraphDelta: MPNN Scoring Functionfor the Affinity Prediction of Protein-Ligand Complexes. ACS Omega,5(10) 5150-5159
DOI: 10.1021/acsomega.9b04162
Scopus: 2-s2.0-85081686625

598. Katrutsa, A., Daulbaev, T., Oseledets, I.
(2020).Black-box learning of multigrid parameters.
Journal of Computational and Applied Mathematics,368
DOI: 10.1016/
Scopus: 2-s2.0-85073011756

599. Korotin, A., V'yugin, V., Burnaev, E.
(2020).Adaptive hedging under delayed feedback.
DOI: 10.1016/j.neucom.2019.06.106
Scopus: 2-s2.0-85076623285

600. Sushnikova, D.A., Oseledets, I.V.
(2020).Simple non-extensive sparsification of the hierarchical matrices.
Advances in Computational Mathematics,46(4)
DOI: 10.1007/s10444-020-09794-y
Scopus: 2-s2.0-85088709758

601. Yavich, N., Malovichko, M., Shlykov, A.
(2020).Parallel simulation of audio-and radio-magnetotelluric data.
DOI: 10.3390/min10010042
Scopus: 2-s2.0-85077562192

602. Omelchenko, D.O., Makarenko, M.S., Kasianov, A.S., Schelkunov, M.I., Logacheva, M.D., Penin, A.A.
(2020).Assembly and analysis of the complete mitochondrial genome of capsella bursa-pastoris. Plants,9(4)
DOI: 10.3390/plants9040469
Scopus: 2-s2.0-85083988459

603. Kriuchevskyi, I., Palyulin, V.V., Milkus, R., Elder, R.M., Sirk, T.W., Zaccone, A.
(2020).Scaling up the lattice dynamics of amorphous materials by orders of magnitude.
Physical Review B,102(2)
DOI: 10.1103/PhysRevB.102.024108
Scopus: 2-s2.0-85090138184

604. Fedoseeva, E.V., Patsaeva, S.V., Khundzhua, D.A., Pukalchik, M.A., Terekhova, V.A. (2020).Effect of Exogenic Humic Substances on Various Growth Endpoints of Alternaria alternata and Trichoderma harzianum in the Experimental Conditions.
Waste and Biomass Valorization,
DOI: 10.1007/s12649-020-00974-x
Scopus: 2-s2.0-85081918279

605. Ivanov, D.G., Indeykina, M.I., Pekov, S.I., Bugrova, A.E., Kechko, O.I., Iusupov, A.E., Kononikhin, A.S., Makarov, A.A., Nikolaev, E.N., Popov, I.A.
(2020).Relative quantitation of beta-amyloid peptide isomers with simultaneous isomerization of multiple aspartic acid residues by matrix assisted laser desorption ionization-time of flight mass spectrometry.
Journal of the American Society for Mass Spectrometry,31(1) 164-168
DOI: 10.1021/jasms.9b00025
Scopus: 2-s2.0-85085255655

606. Kashirina, D.N., Brzhozovskiy, A.G., Pastushkova, L.K., Kononikhin, A.S., Borchers, C.H., Nikolaev, E.N., Larina, I.M.
(2020).Semiquantitative Proteomic Research of Protein Plasma Profile of Volunteers in 21-Day Head-Down Bed Rest.
Frontiers in Physiology,11
DOI: 10.3389/fphys.2020.00678
Scopus: 2-s2.0-85089342750

607. Vasilyeva, A., Yurina, L., Shchegolikhin, A., Indeykina, M., Bugrova, A., Kononikhin, A., Nikolaev, E., Rosenfeld, M.
(2020).The structure of blood coagulation factor xiii is adapted to oxidation.
Biomolecules,10(6) 1-17 DOI: 10.3390/biom10060914
Scopus: 2-s2.0-85086647645

608. Kashirina, D.N., Pastushkova, L.K., Brzhozovskiy, A.G., Goncharova, A.G., Nosovsky, A.M., Custaud, M.-A., Navasiolava, N.M., Kononikhin, A.S., Nikolaev, E.N., Larina, I.M.
(2020).Research of the Plasma Protein Profile in Comparison with the Biochemical Parameters of Blood of Volunteers in a 21-Day Head Down Bed Rest.
Human Physiology,46(4) 423-431
DOI: 10.1134/S0362119720040064
Scopus: 2-s2.0-85089986462

609. Froehlich, B.C., Popp, R., Sobsey, C.A., Ibrahim, S., LeBlanc, A.M., Mohammed, Y., Aguilar-Mahecha, A., Poetz, O., Chen, M.X., Spatz, A., Basik, M., Batist, G., Zahedi, R.P., Borchers, C.H. (2020).Systematic Optimization of the iMALDI Workflow for the Robust and Straightforward Quantification of Signaling Proteins in Cancer Cells.
Proteomics - Clinical Applications,14(5)
DOI: 10.1002/prca.202000034
Scopus: 2-s2.0-85089152701

610. Chistiakov, I., Yanovich, Y.
(2020).Responsible self-funding in dash governance system.
ACM International Conference Proceeding Series,67-72
DOI: 10.1145/3409934.3409939
Scopus: 2-s2.0-85090916304

611. Ivleva, E.A., Obraztsova, E.A., Pavlova, E.R., Morozova, O.V., Ivanov, D.G., Kononikhin, A.S., Klinov, D.V.
(2020).Albumin-stabilized fluorescent metal nanoclusters: fabrication, physico-chemical properties and cytotoxicity.
Materials and Design,192
DOI: 10.1016/j.matdes.2020.108771
Scopus: 2-s2.0-85084502436

612. Klyuchnikov, N., Burnaev, E.
(2020).Gaussian process classification for variable fidelity data.
DOI: 10.1016/j.neucom.2019.10.111
Scopus: 2-s2.0-85076507763

613. Schutski, R., Lykov, D., Oseledets, I.
(2020).Adaptive algorithm for quantum circuit simulation.
Physical Review A,101(4)
DOI: 10.1103/PhysRevA.101.042335
Scopus: 2-s2.0-85084919115

614. Shvetsov, N., Buzun, N., Dylov, D.V.
(2020).Unsupervised non-parametric change point detection in electrocardiography.
ACM International Conference Proceeding Series,
DOI: 10.1145/3400903.3400917
Scopus: 2-s2.0-85090403663

615. Lianos, I., Velias, A., Katalevsky, D., Ovchinnikov, G.
(2020).Financialization of the food value chain, common ownership and competition law.
European Competition Journal,16(1) 149-220
DOI: 10.1080/17441056.2020.1732682
Scopus: 2-s2.0-85080148136

616. Zhang, Y.X., Rykovanov, S., Shi, M., Zhong, C.L., He, X.T., Qiao, B., Zepf, M.
(2020).Giant Isolated Attosecond Pulses from Two-Color Laser-Plasma Interactions.
Physical Review Letters,124(11)
DOI: 10.1103/PhysRevLett.124.114802
Scopus: 2-s2.0-85083041714

617. Osinsky, A., Ivanov, A., Lakontsev, D., Bychkov, R., Yarotsky, D.
(2020).Data-Aided LS Channel Estimation in Massive MIMO Turbo-Receiver.
IEEE Vehicular Technology Conference,2020
DOI: 10.1109/VTC2020-Spring48590.2020.9128566
Scopus: 2-s2.0-85088310575

618. Rusanov, V.B., Pastushkova, L.H., Goncharova, A.G., Chernikova, A.G., Nosovsky, A.M., Saik, O.V., Kashirina, D.N., Brzhozovskiy, A.G., Kononikhin, A.S., Lubisheva, A.G., Larina, I.M. (2020).Reflection of Heart Rate Physiological Regulation Parameters in the Urinary Proteome in Healthy Young Males.
Human Physiology,46(2) 182-190
DOI: 10.1134/S0362119720020152
Scopus: 2-s2.0-85084662240

619. Zherebker, A., Lechtenfeld, O.J., Sarycheva, A., Kostyukevich, Y., Kharybin, O., Fedoros, E.I., Nikolaev, E.N.
(2020).Refinement of Compound Aromaticity in Complex Organic Mixtures by Stable Isotope Label Assisted Ultrahigh-Resolution Mass Spectrometry.
Analytical Chemistry,92(13) 9032-9038
DOI: 10.1021/acs.analchem.0c01208
Scopus: 2-s2.0-85089265887

620. Yurina, L.V., Vasilyeva, A.D., Kononenko, V.L., Bugrova, A.E., Indeykina, M.I., Kononikhin, A.S., Nikolaev, E.N., Rosenfeld, M.A.
(2020).The Structural–Functional Damage of Fibrinogen Oxidized by Hydrogen Peroxide.
Doklady Biochemistry and Biophysics,492(1) 130-134
DOI: 10.1134/S1607672920020167
Scopus: 2-s2.0-85087477297

621. Gasanov, M., Petrovskaia, A., Nikitin, A., Matveev, S., Tregubova, P., Pukalchik, M., Oseledets, I.
(2020).Sensitivity analysis of soil parameters in crop model supported with high-throughput computing.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),12143731-741
DOI: 10.1007/978-3-030-50436-6_54
Scopus: 2-s2.0-85087281421

622. Ivanov, A., Lakontsev, D., Fisenko, A., Ushakov, A.
(2020).Soft Decision Decoding in Mud Pulse Telemetry System.
IEEE Vehicular Technology Conference,2020
DOI: 10.1109/VTC2020-Spring48590.2020.9129046
Scopus: 2-s2.0-85088320957

623. Ulyanov, D., Vedaldi, A., Lempitsky, V.
(2020).Deep Image Prior.
International Journal of Computer Vision,128(7) 1867-1888
DOI: 10.1007/s11263-020-01303-4
Scopus: 2-s2.0-85081579828

624. Phan, A.-H., Yamagishi, M., Mandic, D., Cichocki, A.
(2020).Quadratic programming over ellipsoids with applications to constrained linear regression and tensor decomposition.
Neural Computing and Applications,32(11) 7097-7120
DOI: 10.1007/s00521-019-04191-z
Scopus: 2-s2.0-85064707745

625. Novikov, A., Izmailov, P., Khrulkov, V., Figurnov, M., Oseledets, I.
(2020).Tensor train decomposition on tensorflow (T3F).
Journal of Machine Learning Research,21
Scopus: 2-s2.0-85086802326

626. Eliferov, V.A., Zhvansky, E.S., Sorokin, A.A., Shurkhay, V.A., Bormotov, D.S., Pekov, S.I., Nikitin, P.V., Ryzhova, M.V., Kulikov, E.E., Potapov, A.A., Nikolaev, E.N., Popov, I.A.
(2020).The role of lipids in the classification of astrocytoma and glioblastoma using MS tumor profiling.
Biomeditsinskaia khimiia,66(4) 317-325
DOI: 10.18097/PBMC20206604317
Scopus: 2-s2.0-85090376107

627. Bondarenko, A., Braslavski, P., Völske, M., Aly, R., Fröbe, M., Panchenko, A., Biemann, C., Stein, B., Hagen, M.
(2020).Comparative web search questions.
WSDM 2020 - Proceedings of the 13th International Conference on Web Search and Data Mining,52-60
DOI: 10.1145/3336191.3371848
Scopus: 2-s2.0-85079535949

628. Azarin, K., Usatov, A., Makarenko, M., Kozel, N., Kovalevich, A., Dremuk, I., Yemelyanova, A., Logacheva, M., Fedorenko, A., Averina, N.
(2020).A point mutation in the photosystem I P700 chlorophyll a apoprotein A1 gene confers variegation in Helianthus annuus L.
Plant Molecular Biology,103(4-5) 373-389
DOI: 10.1007/s11103-020-00997-x
Scopus: 2-s2.0-85081919978

629. Rusanov, V.B., Pastushkova, L.K., Larina, I.M., Chernikova, A.G., Goncharova, A.G., Nosovsky, A.M., Kashirina, D.N., Brzhozovsky, A.G., Navasiolava, N., Kononikhin, A.S., Kussmaul, A.R., Custaud, M.-A., Nikolaev, E.N.
(2020).The Effect of Five-Day Dry Immersion on the Nervous and Metabolic Mechanisms of the Circulatory System.
Frontiers in Physiology,11
DOI: 10.3389/fphys.2020.00692
Scopus: 2-s2.0-85088501893

630. Matveev, S.A., Sorokin, A.A., Smirnov, A.P., Tyrtyshnikov, E.E.
(2020).Oscillating stationary distributions of nanoclusters in an open system. Mathematical and Computer Modelling of Dynamical Systems,1-14
DOI: 10.1080/13873954.2020.1793786
Scopus: 2-s2.0-85088235812

631. Vashkevich, E.P., Migas, A.A., Meleshko, A.N., Matveenko, M.A., Strushkevich, N.V., Shman, T.V.
(2020).Expansion and Activation of Human Natural Killer Cells ex vivo in the Presence of Transgenic Feeder Cells.
Cell and Tissue Biology,14(5) 365-371
DOI: 10.1134/S1990519X20050090
Scopus: 2-s2.0-85091390220

S1. Drozdov, G., Ostanin, I., Xu, H, Wang, Y, Dumitrică, T, Grebenko, A., Tsapenko, A.P., Gladush, Y., Ermolaev, G., Volkov, V.S., Eibl, S., Rüde, U., Nasibulin,
(2020) Densification of single-walled carbon nanotube films: Mesoscopic distinct element method simulations and experimental validation.
Journal of Applied Physics 128 (18), 184701, 2020.
DOI: 10.1063/5.0025505
Scopus: 2-s2.0-85096138508

S2. Alexey A. Tsukanov, Olga Vasiljeva
(2020). Nanomaterials Interaction with Cell Membranes: Computer Simulation Studies // Chapter 9 in book "Multiscale Biomechanics and Tribology of Inorganic and Organic Systems"
DOI: 10.1007/978-3-030-60124-9_9.
Scopus: 2-s2.0-85096807986

S3. GV Paradezhenko, C Gascoigne, NV Brilliantov
(2020) Gaussian polymer chains in a harmonic potential: The path integral approach, Journal of Physics A: Mathematical and Theoretical 53 (42), 425005
DOI: 10.1088/1751-8121/abb0c2
Scopus: 2-s2.0-85092693596

S4. N. V. Brilliantov, A. I. Osinsky, and P. L. Krapivsky
(2020) Role of energy in ballistic agglomeration,
Phys. Rev. E 102 (2020) 042909
DOI: 10.1103/PhysRevE.102.042909
Scopus: 2-s2.0-85094853181

S6. NV Brilliantov, H Abutuqayqah, IY Tyukin, SA Matveev
(2020) Swirlonic state of active matter
Scientific Reports 10 (1), 1-13 (2020)
DOI: 10.1038/s41598-020-73824-4
Scopus: 2-s2.0-85092280939

S7. Patel, P; Santo, K.P., Burgess, S., Vishnyakov, A., Neimark, A.V. Stability of Lipid (2020) Coatings on Nanoparticle-Decorated Surfaces;
ACS Nano 2020
DOI: 10.1021/acsnano.0c07298
ACS publications:

S9. Bondarenko, A., Panchenko, A., Beloucif, M., Biemann, C., and Hagen, M.
(2020): Answering Comparative Questions with Arguments.
Datenbank Spektrum. Springer.
Springer: article/10.1007%2Fs13222-020-00346-8

S10. Bondarenko, A., Fröbe, M., Beloucif, M., Gienapp, L., Ajjour, Y., Panchenko, A., Biemann, C., Stein, B., Wachsmuth, H., Potthast, M. Hagen, M.
(2020) Overview of Touché 2020: Argument Retrieval.
Working Notes of CLEF 2020 – Conference and Labs of the Evaluation Forum. Thessaloniki, Greece.
DOI: 10.1007/978-3-030-58219-7_26
Scopus: 2-s2.0-85092193125

S11. Chekalina, V. and Panchenko, A.
(2020) Retrieving Comparative Arguments using Deep Pre-trained Language Models and NLU.
Working Notes of CLEF 2020 – Conference and Labs of the Evaluation Forum. Thessaloniki, Greece.

S12. Bondarenko, A., Hagen, M., Beloucif, M., Biemann, C., Panchenko, A.
(2020) Answering Comparative Questions with Web-based Arguments.
Proceedings of AAAI 2020 Workshop on Interactive and Conversational Recommendation Systems, New York, USA

S14. Arefyev, N., Sheludko, B., Podolskiy, A., and Panchenko A.
(2020) Always Keep your Target in Mind: Studying Semantics and Improving Performance of Neural Lexical Substitution.
In Proceedings of the 28th International Conference on Computational Linguistics (COLING-2020). Barcelona, Spain.

S15. Logacheva, V., Teslenko, D., Shelmanov, A., Remus, S., Ustalov, D., Kutuzov, A., Artemova, E., Biemann, C., Ponzetto, S.P., Panchenko, A.
(2020) Word Sense Disambiguation for 158 Languages using Word Embeddings Only. Proceedings of the International Conference on Language Resources and Evaluation (LREC 2020), Marseille, France
Scopus: 2-s2.0-85096559732

S16. Nikishina, I., Logacheva, V., Panchenko, A., and Loukashevich N.
(2020) RUSSE-2020: Findings of the First Taxonomy Enrichment Task for the Russian Language. In Proceedings of the 26th International Conference on Computational Linguistics and Intellectual Technologies (Dialogue'2020). Moscow, Russia. RGGU
DOI: 10.28995/2075-7182-2020-19-579-595
Scopus: s2.0-85092152688

S17. Anwar, S., Shelmanov, A., Panchenko, A. and Biemann C.
(2020) Generating Lexical Representations of Frames using Lexical Substitution.
Proceedings of the International Conference on Probability and Meaning (PaM ) 2020, Gothenburg, Sweden.
Semantic Scholar: 547b498d141afde734cd8ae6c1a7a9ec70656234

S18. S. Koch, A. Matveev, Z. Jiang, F. Williams, A. Artemov, E. Burnaev, M. Alexa, D. Zorin, D. Panozzo.
(2019) ABC: A Big CAD Model Dataset for Geometric Deep Learning.
CVPR, 2019
DOI: 10.1109/CVPR.2019.00983
Scopus: 2-s2.0-85077504496