В. Н. Крутиков, Н. С. Самойленко, “О скорости сходимости субградиентного метода с изменением метрики и его приложения в схемах нейросетевых приближений”, Вестн. Томск. гос. ун-та. Матем. и мех., 2018, № 55, 22–37
V. Osin, A. Cichocki, E. Burnaev, “Fast multispectral deep fusion networks”, Bull. Pol. Acad. Sci.-Tech. Sci., 66:6 (2018)
M. Sharaev, A. Artemov, E. Kondrateva, S. Sushchinskaya, E. Burnaev, A. Bernstein, R. Akzhigitov, A. Andreev, “MRI-based diagnostics of depression concomitant with epilepsy: in search of the potential biomarkers”, 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA, IEEE, 2018, 555–564
Pominova M., Artemov A., Sharaev M., Kondrateva E., Bernstein A., Burnaev E., “Voxelwise 3D Convolutional and Recurrent Neural Networks For Epilepsy and Depression Diagnostics From Structural and Functional Mri Data”, 2018 18Th IEEE International Conference on Data Mining Workshops (Icdmw), International Conference on Data Mining Workshops, eds. Tong H., Li Z., Zhu F., Yu J., IEEE, 2018, 299–307
Sharaev M., Artemov A., Kondrateva E., Ivanov S., Sushchinskaya S., Bernstein A., Cichocki A., Burnaev E., “Learning Connectivity Patterns Via Graph Kernels For Fmri-Based Depression Diagnostics”, 2018 18Th IEEE International Conference on Data Mining Workshops (Icdmw), International Conference on Data Mining Workshops, eds. Tong H., Li Z., Zhu F., Yu J., IEEE, 2018, 308–314
Sharaev M., Andreev A., Artemov A., Burnaev E., Kondratyeva E., Sushchinskaya S., Samotaeva I., Gaskin V., Bernstein A., “Pattern Recognition Pipeline For Neuroimaging Data”, Artificial Neural Networks in Pattern Recognition, Annpr 2018, Lecture Notes in Artificial Intelligence, 11081, eds. Pancioni L., Schwenker F., Trentin E., Springer International Publishing Ag, 2018, 306–319
A. V. Bernstein, E. V. Burnaev, O. N. Kachan, Lecture Notes in Computer Science, 10935, Machine Learning and Data Mining in Pattern Recognition, 2018, 258
E. Burnaev, I. Koptelov, G. Novikov, T. Khanipov, “Automatic construction of a recurrent neural network based classifier for vehicle passage detection”, Ninth International Conference on Machine Vision (ICMV 2016), Proceedings of SPIE, 10341, eds. A. Verikas, P. Radeva, D. Nikolaev, W. Zhang, J. Zhou, Spie-Int Soc Optical Engineering, 2017, UNSP 1034103
Nataliia Kozlovskaia, Alexey Zaytsev, 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), 2017, 908
Evgeny Burnaev, Ivan Panin, Bruno Sudret, “Efficient design of experiments for sensitivity analysis based on polynomial chaos expansions”, Ann Math Artif Intell, 81:1-2 (2017), 187