| Neural network control systems VA Terekhov, DV Efimov, IY Tyukin Higher School, Moscow, 2002 | 718* | 2002 |
| Adaptation in Nonlinear Dynamical Systems (Adaptatsiya v nelineinykh dinamicheskikh sistemakh) IY Tyukin, VA Terekhov M.: Izd-vo LKI, 2008 | 299* | 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 | 230* | 2000 |
| Semi-passivity and synchronization of diffusively coupled neuronal oscillators E Steur, I Tyukin, H Nijmeijer Physica D: Nonlinear Phenomena 238 (21), 2119-2128, 2009 | 157 | 2009 |
| Adaptive Control in Technical Sytems (Adaptivnoe Upravlenie v Tekhnicheskikh Systemakh) VN Antonov, VA Terekhov, IY Tyukin СПб.: Издательство С.-Петербургского университета, 2001 | 141* | 2001 |
| 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 | 137 | 2018 |
| Approximation with random bases: Pro et contra AN Gorban, IY Tyukin, DV Prokhorov, KI Sofeikov Information Sciences 364, 129-145, 2016 | 135 | 2016 |
| 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 | 108 | 2021 |
| 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 | 107 | 2007 |
| 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 | 106 | 2013 |
| 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 | 76 | 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 | 73 | 2018 |
| 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 | 70 | 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 | 62 | 2019 |
| Stochastic Separation Theorems AN Gorban, IY Tyukin Neural Networks 94, 255-259, 2017 | 59 | 2017 |
| Scikit-dimension: a python package for intrinsic dimension estimation J Bac, EM Mirkes, AN Gorban, I Tyukin, A Zinovyev Entropy 23 (10), 1368, 2021 | 58 | 2021 |
| Adaptive control with nonconvex parameterization IY Tyukin, DV Prokhorov, VA Terekhov IEEE transactions on automatic control 48 (4), 554-567, 2003 | 54 | 2003 |
| High-dimensional brain in a high-dimensional world: Blessing of dimensionality AN Gorban, VA Makarov, IY Tyukin Entropy 22 (1), 82, 2020 | 50 | 2020 |
| How deep should be the depth of convolutional neural networks: a backyard dog case study AN Gorban, EM Mirkes, IY Tyukin Cognitive Computation, 2019 | 50 | 2019 |
| Adaptation in dynamical systems I Tyukin Cambridge University Press, 2011 | 50 | 2011 |
Alexander N. GorbanProfessor of Applied Mathematics, University of Leicester, UKVerified email at le.ac.uk
