Neural network control systems VA Terekhov, DV Efimov, IY Tyukin Higher School, Moscow, 2002 | 727* | 2002 |
Adaptation in Nonlinear Dynamical Systems (Adaptatsiya v nelineinykh dinamicheskikh sistemakh) IY Tyukin, VA Terekhov M.: Izd-vo LKI, 2008 | 337* | 2008 |
Modern applied control theory (Sovremennaya prikladnaya teoriya upravleniya) АА Колесников, ЛН Рассудов, ВБ Яковлев, ВА Новиков, ГЕ Веселов, ... Технологический институт Федерального государственного образовательного …, 2000 | 240* | 2000 |
Blessing of dimensionality: mathematical foundations of the statistical physics of data AN Gorban, IY Tyukin Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2018 | 161 | 2018 |
Semi-passivity and synchronization of diffusively coupled neuronal oscillators E Steur, I Tyukin, H Nijmeijer Physica D: Nonlinear Phenomena 238 (21), 2119-2128, 2009 | 161 | 2009 |
Advances in data preprocessing for biomedical data fusion: An overview of the methods, challenges, and prospects S Wang, ME Celebi, YD Zhang, X Yu, S Lu, X Yao, Q Zhou, MG Miguel, ... Information Fusion 76, 376-421, 2021 | 160 | 2021 |
Approximation with random bases: Pro et contra AN Gorban, IY Tyukin, DV Prokhorov, KI Sofeikov Information Sciences 364, 129-145, 2016 | 145 | 2016 |
Adaptive Control in Technical Sytems (Adaptivnoe Upravlenie v Tekhnicheskikh Systemakh) VN Antonov, VA Terekhov, IY Tyukin СПб.: Издательство С.-Петербургского университета, 2001 | 145* | 2001 |
Adaptive observers and parameter estimation for a class of systems nonlinear in the parameters IY Tyukin, E Steur, H Nijmeijer, C Van Leeuwen Automatica 49 (8), 2409-2423, 2013 | 109 | 2013 |
Adaptation and Parameter Estimation in Systems with Unstable Target Dynamics and Nonlinear Parametrization I Tyukin, D Prokhorov, C Van Leeuwen IEEE Transactions on Automatic Control 52 (9), 1543-1559, 2007 | 105 | 2007 |
Feasibility of random basis function approximators for modeling and control IY Tyukin, DV Prokhorov 2009 IEEE Control Applications,(CCA) & Intelligent Control,(ISIC), 1391-1396, 2009 | 86 | 2009 |
Correction of AI systems by linear discriminants: Probabilistic foundations AN Gorban, A Golubkov, B Grechuk, EM Mirkes, IY Tyukin Information Sciences 466, 303-322, 2018 | 80 | 2018 |
Scikit-dimension: a python package for intrinsic dimension estimation J Bac, EM Mirkes, AN Gorban, I Tyukin, A Zinovyev Entropy 23 (10), 1368, 2021 | 77 | 2021 |
Adaptive behavior with fixed weights in RNN: an overview DV Prokhorov, LA Feldkarnp, IY Tyukin Neural Networks, 2002. IJCNN'02. Proceedings of the 2002 International Joint …, 2002 | 75 | 2002 |
The unreasonable effectiveness of small neural ensembles in high-dimensional brain AN Gorban, VA Makarov, IY Tyukin Physics of life reviews 31, 86-103, 2019 | 66 | 2019 |
Stochastic Separation Theorems AN Gorban, IY Tyukin Neural Networks 94, 255-259, 2017 | 62 | 2017 |
How deep should be the depth of convolutional neural networks: a backyard dog case study AN Gorban, EM Mirkes, IY Tyukin Cognitive Computation, 2019 | 61 | 2019 |
Adaptive control with nonconvex parameterization IY Tyukin, DV Prokhorov, VA Terekhov IEEE transactions on automatic control 48 (4), 554-567, 2003 | 57 | 2003 |
High-dimensional brain in a high-dimensional world: Blessing of dimensionality AN Gorban, VA Makarov, IY Tyukin Entropy 22 (1), 82, 2020 | 53 | 2020 |
Adaptation in dynamical systems I Tyukin Cambridge University Press, 2011 | 51 | 2011 |