Spitsyn Vladimir G., Druki Alexey A., Grigoriev Dmitriy S., Vik Ksenia V. «Application of deep learning neural networks for solving the problem of forest fire segmentation on satellite images» // Tomsk State University Journal of Control and Computer Science 2021. №55 C.18-25
Krutikov Vladimir N., Samoylenko Natalya S. «On the convergence rate of the subgradient method with metric variation and its applications in neural network approximation schemes» // Tomsk State University Journal of Mathematics and Mechanics 2018. №55 C.22-37
Keller Yuri A. «The application of data clustering on the basis of Kohonen self-organizing maps in the process of selecting candidate wells for enhanced oil recovery methods» // 2014. №3(28) C.32-37
Solovieva U.S. , Grekova T.I. «Construction of the models of behavior of the economicprocesses by neuronet technologies » // 2009. №1 (6) C.49-58
Hamker Fred H., Kermani Arash K., Spitsyn Vladimir G. «Maximizing competition in a biologically plausible neural network» // 2012. №56 C.53-60
Lermontov V. Yu., Babkin S. S., Epishkina A. V., Kurnev A. S., Beresneva A. V. «About handwritten signature verification» // Applied Discrete Mathematics. Supplement 2017. №10 C.73-76
Sorokin Mikhail Sergeevich, Zakharova Galina Borisovna «The intelligent software toolkit for production of news TV-programs discrete function and automatons» // Tomsk State University Journal of Control and Computer Science 2018. №45 C.76-82
Shatravin Vladislav V., Shashev Dmitriy V. «Implementation of the sigmoid activation function using the reconfigurable computing environments» // Tomsk State University Journal of Control and Computer Science 2022. №61 C.117-127
Nikolaev A. A. «Extension and analysis of information hiding method deep steganography» // Applied Discrete Mathematics. Supplement 2021. №14 C.146-148
Laptev Anton K., Boltunova Ekaterina M. «Handwriting recognition and data mining: Possibilities of neural network technologies (based on Admiral Fyodor Lütke’s Diary)» // Imagology and Comparative Studies 2025. №23 C.358-379
