Bi-directional astrocytic regulation of neuronal activity within a network. - Susan Yu Gordleeva; Sergey V. Stasenko; Alexey V. Semyanov; Alexander E. Dityatev; Victor B. Kazantsev (Frontiers Comput. Neurosci., 2012)

High-Dimensional Separability for One- and Few-Shot Learning. - Alexander N. Gorban; Bogdan Grechuk; Evgeny M. Mirkes; Sergey V. Stasenko; Ivan Yu. Tyukin (Entropy, 2021)

Using machine learning algorithms to determine the post-COVID state of a person by his rhythmogram. - Sergey V. Stasenko; Andrey Kovalchuk; Eremin Evgeny; Natalya Zarechnova; Maria Tsirkova; Sergey Permyakov; Sergey Parin; Sofia Polevaya (CoRR, 2022)

Using machine learning algorithms to determine the emotional disadaptation of a person by his rhythmogram. - Sergey V. Stasenko; Olga Shemagina; Eremin Evgeny; Vladimir G. Yakhno; Sergey Parin; Sofia Polevaya (CoRR, 2022)

Information Encoding in Bursting Spiking Neural Network Modulated by Astrocytes. - Sergey V. Stasenko; Victor B. Kazantsev (Entropy, 2023)

Using Machine Learning Algorithms to Determine the Post-COVID State of a Person by Their Rhythmogram. - Sergey V. Stasenko; Andrey Kovalchuk; Eremin Evgeny; Olga V. Drugova; Natalya Zarechnova; Maria Tsirkova; Sergey Permyakov; Sergey Parin; Sofia Polevaya (Sensors, 2023)

Domain Adaptation Principal Component Analysis: Base Linear Method for Learning with Out-of-Distribution Data. - Evgeny M. Mirkes; Jonathan Bac; Aziz Fouché; Sergey V. Stasenko; Andrei Yu. Zinovyev; Alexander N. Gorban (Entropy, 2023)

Preservation of dissipativity in dimensionality reduction. - Sergey V. Stasenko; Alexander N. Kirdin (Commun. Nonlinear Sci. Numer. Simul., 2025)