Mazur A.I., Shirokov A.M., Belozerov A.O. «Hyperparameter optimization in machine learning algorithm for extrapolations of variation calculations» // Izvestiya vuzov. Fizika 2022. №7 C.3-8
Baranov Dmitrij A., Ryabinin Konstantin V., Zelyanskaya Natalya L., Belousov Konstantin I., Ponomarev Nikolai F. «Cognitive-Information Modeling of Social Reality: Concepts, Events, Priorities» // Tomsk State University Journal of Philology 2021. №72 C.5-26
Lezgyan Artem S., Batraeva Inna A., Nartsev Andrey D. «Using the analysis of semantic proximity of words in solving the problem of determining the genre of texts within deep learning» // Tomsk State University Journal of Control and Computer Science 2020. №50 C.14-22
Dryuchenko M. A., Sirota A. A. «Image stegoanalysis using deep neural networks and heteroassociative integral transformations» // Applied Discrete Mathematics 2022. №55 C.35-58
Khamdamov Timur V. «Automation Science. A Conceptual View» // Tomsk State University Journal of Philosophy, Sociology and Political Science 2022. №65 C.37-50
Aleksandrova A.G., Tomilova I.V., Krasavin D.S. «Application of artificial neural networks in studying the dynamic structure of the near-Earth orbital space» // Izvestiya vuzov. Fizika 2021. №10 C.38-43
Sukhanova E.A., Kiselev P.B., Stepanenko A.A., Matsuta V.V., Feshchenko A.V., Gojko V.L. «METHODS AND TOOLS TO IDENTIFY PROMISING ENTRANTS IN SOCIAL NETWORKS» // Open and distance education 2017. №4(68) C.45-52
Perov A. A., Pestunov A. I. «On possibility of using convolutional neural networks for creating universal attacks on iterative block ciphers» // Applied Discrete Mathematics 2020. №49 C.46-56
Kalinin A.A., Malikova A.V., Kolmogorova Anastasia V. «The Types and Combinatorics of Verbal Markers of Different Emotional Tonalities in Russian-Language Internet Texts» // Tomsk State University Journal 2019. №448 C.48-58
Perov A. A., Pestunov A. I. «Construction of distinguishers for iterative block ciphers on the base of neural networks» // Applied Discrete Mathematics. Supplement 2020. №13 C.54-56
Deryabin Andrey A., Popov Alexander A., Averkov Mikhail S. «Data Science and Artificial Intelligence as Tools for the Practical Implementation of the Philosophy of Open Education» // Tomsk State University Journal of Philosophy, Sociology and Political Science 2017. №37 C.63-84
Averkov Mikhail S., Deryabin Andrey A., Popov Alexander A. «Data Science and Artificial Intelligence as Tools for the Practical Implementation of the Philosophy of Open Education» // Tomsk State University Journal of Philosophy, Sociology and Political Science 2020. №56 C.63-84
Kiselev Alexander V., Kovadlo Pavel G., Shikhovtsev Artem Yu. «Physically-informed neural networks for estimation of atmospheric optical turbulence intensity» // Izvestiya vuzov. Fizika 2025. №5 C.66-73
Burkatovskaya Yulia Borisovna, Kulyukin Vladimir Alekseevich, Mukherjee Sarbajit «Classification of audio samples by convolutional networks in audio beehive monitoring» // Tomsk State University Journal of Control and Computer Science 2018. №45 C.68-75
Krasavin D.S., Aleksandrova A.G., Tomilova I.V. «Application of artificial neural networks in the problems of analysis of the dynamic structure of near-earth orbital space areas» // Izvestiya vuzov. Fizika 2020. №3 C.70-75
Uvarov Vadim E. «Recognition of incomplete sequences described by hidden Markov models using first derivatives of likelihood function logarithm» // Tomsk State University Journal of Control and Computer Science 2018. №42 C.79-88
Shliakhtina E. A., Gamayunov D.Y. «Anomaly detection in JSON structured data» // Applied Discrete Mathematics 2022. №56 C.83-103
Galushina Tatyana Yu., Lenter Oksana N., Nikolaeva Elizaveta A., Krasavin Dmitriy S. «Application of machine learning methods for the classification of asteroid resonance motion» // Tomsk State University Journal of Mathematics and Mechanics 2022. №76 C.87-100
Tretyakov Akim K., Kistenev Yury V. «Modified high convergence genetic algorithm for approximation of molecular potential energy surface» // Izvestiya vuzov. Fizika 2025. №6 C.95-103
Murzina A. I. «Machine learning based anomaly detection method for SQL» // Applied Discrete Mathematics. Supplement 2017. №10 C.121-122
Nedelko Victor M. «Some aspects of estimating a quality of decision functions construction methods» // 2013. № 3(24) C.123-132
Knyazev Ivan S., Sazonov Alexey A., Kindeev Arkady L. «Digital soil mapping using air laser scanning data» // Geosphere Research 2025. №1 C.124-135
Petrov Evgeniy Y., Goiko Viacheslav L., Kashpur Vitaliy V., Feshchenko Artem V. «Possibilities of Using Digital Footprints to Predict Educational Achievements of Students» // Tomsk State University Journal of Philosophy, Sociology and Political Science 2021. №64 C.140-150
Varnukhov Artem Yu. «Specifics of pricing on marketplaces» // Tomsk State University Journal of Economics 2025. №69 C.164-182
Shchekotin Evgeny V. «Digital Footprints as a New Source of Data on Quality of Life and Well-Being: An Overview of Current Trends» // Tomsk State University Journal 2021. №467 C.170-181
Dulya I.S., Bogdanov A.L. «An application of neural networks to solution of the credit scoring task» // Tomsk State University Journal of Economics 2018. №44 C.173-183
Dulya Ivan S., Bogdanov Aleksandr L. «Sentiment Analysis of Short Russian Texts in Social Media» // Tomsk State University Journal of Economics 2019. №47 C.220-241
Perov A. A. «About using machine learning technologies for checking statistical properties of symmetric cryptography algorithms» // Applied Discrete Mathematics. Supplement 2019. №12 C.232-235
Glazkova Anna V., Sokova Zinaida N., Kruzhlnov Valery M. «Predicting political views in social media: VKontakte as a case study» // Tomsk State University Journal of Philosophy, Sociology and Political Science 2022. №65 C.252-263
Penskaya Elena N. «Machine learning and information representation: New possibilities for digital archives (Book review: Nottorp, P. and Raymond, M. (eds) (2025) Artificial Intelligence, Archives and Manuscripts. New Relationships between the Virtual Archive and Its Referent. Edinburgh: University of Edinburgh)» // Imagology and Comparative Studies 2025. №23 C.380-389
