Learning to decode human emotions with Echo State Networks L Bozhkov, P Koprinkova-Hristova, P Georgieva Neural Networks 78, 112-119, 2016 | 58 | 2016 |
Design and Analysis of a Relational Database for Behavioral Experiments Data Processing. R Kraleva, V Kralev, N Sinyagina International Journal of Online Engineering 14 (2), 2018 | 44 | 2018 |
Reservoir computing for emotion valence discrimination from EEG signals L Bozhkov, P Koprinkova-Hristova, P Georgieva Neurocomputing 231, 28-40, 2017 | 44 | 2017 |
Modeling of Batch Alcohol Fermentation with Free and Immobilized Yeasts Saccharomyces Cerevisiae 46 EVD G Kostov, S Popova, V Gochev, P Koprinkova-Hristova, M Angelov, ... Biotechnology & Biotechnological Equipment 26 (3), 3021-3030, 2012 | 36 | 2012 |
Artificial neural networks P Koprinkova-Hristova, V Mladenov, NK Kasabov Eur. Urol 40 (1), 245, 2015 | 35 | 2015 |
Echo state networks for multi-dimensional data clustering P Koprinkova-Hristova, N Tontchev Artificial Neural Networks and Machine Learning–ICANN 2012: 22nd …, 2012 | 31 | 2012 |
Proto-cooperation factors in yogurt starter cultures M Angelov, G Kostov, E Simova, D Beshkova, P Koprinkova-Hristova Revue de genie industriel 3, 4-12, 2009 | 29 | 2009 |
Neural network modelling of fermentation processes: specific growth rate model M Petrova, P Koprinkova, T Patarinska, M Bliznakova Bioprocess Engineering 18, 281-287, 1998 | 29 | 1998 |
Neural network modelling of fermentation processes. Microorganisms cultivation model M Petrova, P Koprinkova, T Patarinska Bioprocess Engineering 16, 145-149, 1997 | 29 | 1997 |
Adaptive critic design with echo state network P Koprinkova-Hristova, M Oubbati, G Palm 2010 IEEE International Conference on Systems, Man and Cybernetics, 1010-1015, 2010 | 28 | 2010 |
New method for nonlinear fuzzy correction modelling of dynamic objects Ł Bartczuk, A Przybył, P Koprinkova-Hristova Artificial Intelligence and Soft Computing: 13th International Conference …, 2014 | 26 | 2014 |
Backpropagation through time training of a neuro-fuzzy controller P Koprinkova-Hristova International Journal of Neural Systems 20 (05), 421-428, 2010 | 26 | 2010 |
Heuristic dynamic programming using echo state network as online trainable adaptive critic P Koprinkova‐Hristova, M Oubbati, G Palm International Journal of Adaptive Control and Signal Processing 27 (10), 902-914, 2013 | 23 | 2013 |
Artificial Neural Networks and Machine Learning--ICANN 2014: 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014, Proceedings S Wermter, C Weber, W Duch, T Honkela, P Koprinkova-Hristova, S Magg, ... Springer, 2014 | 22* | 2014 |
Membership functions shape and its influence on the dynamical behaviour of fuzzy logic controller P Koprinkova Cybernetics & Systems 31 (2), 161-173, 2000 | 22 | 2000 |
Data-scaling problems in neural-network training P Koprinkova, M Petrova Engineering Applications of Artificial Intelligence 12 (3), 281-296, 1999 | 22 | 1999 |
Adaptive critic design with ESN critic for bioprocess optimization P Koprinkova-Hristova, G Palm International Conference on Artificial Neural Networks, 438-447, 2010 | 21 | 2010 |
ESN intrinsic plasticity versus reservoir stability P Koprinkova-Hristova, G Palm Artificial Neural Networks and Machine Learning–ICANN 2011: 21st …, 2011 | 18 | 2011 |
Gap filling of daily sea levels by artificial neural networks L Pashova, PD Koprinkova-Hristova, S Popova TransNav: International Journal on Marine Navigation and Safety of Sea …, 2013 | 16 | 2013 |
Clustering of spectral images using Echo state networks P Koprinkova-Hristova, D Angelova, D Borisova, G Jelev 2013 IEEE INISTA, 1-5, 2013 | 15 | 2013 |