Spectral analysis of the transport operator: a functional model approach YA Kuperin, SN Nabokov, RV Romanov Indiana University mathematics journal, 1389-1425, 2002 | 17 | 2002 |
Method of calculating Lyapunov exponents for time series using artificial neural networks committees LA Dmitrieva, YA Kuperin, NM Smetanin, GA Chernykh 2016 Days on Diffraction (DD), 127-132, 2016 | 15 | 2016 |
Neural network prediction of short-term dynamics of futures on Deutsche mark, libor and S&P500 L Dmitrieva, Y Kuperin, I Soroka Computational Science—ICCS 2002: International Conference Amsterdam, The …, 2002 | 6 | 2002 |
The new approach for dynamical regimes detection in geomagnetic time series IS Knyazeva, NG Makarenko, YA Kuperin, LA Dmitrieva Journal of Physics: Conference Series 675 (3), 032028, 2016 | 4 | 2016 |
47Glioblastoma gene expression profile diagnostics by the artificial neural networks AA Mekler, I Knyazeva, DR Schwartz, YA Kuperin, VV Dmitrenko, ... Optical Memory and Neural Networks 19, 181-186, 2010 | 4 | 2010 |
Generation of Music Patterns Using Realistic Artificial Neural Networks GA Chernykh, YM Pismak, YA Kuperin, LA Dmitrieva International Journal of Psychosocial Rehabilitation 23 (01), 2019 | 2 | 2019 |
Mathematical analysis and modeling of cultural dynamics in Europe during XVI-XX centuries L Dmitrieva, YA Kuperin, I Smirnov 4th International Multidisciplinary Scientific Conference on Social Sciences …, 2017 | 2 | 2017 |
Increasing the quality of neural forecasts with the help of EMD A Minin, Y Kuperin, B Lang Physmathlit, 2007 | 2 | 2007 |
Calculation of analogs for the largest lyapunov exponents for acoustic data by means of artificial neural networks GA Chernykh, YA Kuperin, LA Dmitrieva, AA Navleva Advances in Neural Networks–ISNN 2016: 13th International Symposium on …, 2016 | 1 | 2016 |
The study of correlation dimension of the EEG signals in a state of meditation by means of Empirical Mode Decomposition LA Dmitrieva, IE Kanunikov, MN Krivoshapova, YA Kuperin, NM Smetanin, ... Stochastic Modeling Data Analysis & Statistical Applications, 157, 2015 | 1 | 2015 |
Application of adaptive classification of tensotremorograms for revealing the pathological states of human motor control system YA Kuperin, AS Minin, AA Mekler, SP Romanov Optical Memory and Neural Networks 18, 304-311, 2009 | 1 | 2009 |
Empirical mode decomposition products complexity in EEG studies: influence of functional state AA Mekler, LA Dmitrieva, YA Kuperin, IN Sedlinsky Clinical Neurophysiology 121 (Supplement 1), S247, 2010 | | 2010 |
Implementing of the artificial intelligence for classification of isometrically applied force tremor for neuromuscular system disorders diagnostics AA Mekler, LA Dmitrieva, AS Minin, DG Schwarz, YA Kuperin, ... Clinical Neurophysiology 121 (Supplement 1), S239, 2010 | | 2010 |
CHAOS, MULTIFRACTALS AND EMD-DECOMPOSITION IN ANALYSIS OF THE EEG SIGNAL STRUCTURE AA Mekler, LA Dmitrieva, YA Kuperin JOURNAL OF PHYSIOLOGICAL SCIENCES 59, 528-528, 2009 | | 2009 |
Mathematical model and design of nanoeloctronic device based on metal-dielectric transition LA Dmitrieva, YA Kuperin, GE Rudin 2007 International Conference-Days on Diffraction, 38-44, 2007 | | 2007 |
Finansial dinamics and neuronetwork analysis: the business environment research experience SV Kotelkin, YA Kuperin, LA Dmitrieva, IV Soroka СПбГУ, 2002 | | 2002 |
Ideas Behind Kolmogorov Complexity and Related Kolmogorov's Ideas about The Physical Impossibility of Large Integers: How Their Formalization Can Help in Foundations of Physics IA Kunin, V Kreinovich, YA Kuperin arXiv preprint physics/0105038, 2001 | | 2001 |
Department of Mechanical Engineering, University of Houston, Houston, TX 77204, USA, email kunin@ uh. edu 2 Department of Computer Science, Universuty of Texas at El Paso, El … IA Kunin, V Kreinovich, YA Kuperin | | |
Erratum:“47glioblastoma Gene Expression Profile Diagnostics by the Artificial Neural Networks”[Optical Memory & Neural Networks (Information Optics) 19 (2), September, pp. 181 … AA Meklera, I Knyazevab, DR Schwartzc, YA Kuperind, VV Dmitrenkoe, ... | | |
NEURAL CLOUDS FOR MONITORING OF COMPLEX SYSTEMS A Minin, B Lang, Y Kuperin, A Mekler, I Mohhov, I Liapakina | | |