Petia Koprinkova-Hristova
Petia Koprinkova-Hristova
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Learning to decode human emotions with Echo State Networks
L Bozhkov, P Koprinkova-Hristova, P Georgieva
Neural Networks 78, 112-119, 2016
Neural network modelling of fermentation processes. Microorganisms cultivation model
M Petrova, P Koprinkova, T Patarinska
Bioprocess Engineering 16 (3), 145-149, 1997
Echo state networks for multi-dimensional data clustering
P Koprinkova-Hristova, N Tontchev
International conference on artificial neural networks, 571-578, 2012
Proto-cooperation factors in yogurt starter cultures
M Angelov, G Kostov, E Simova, D Beshkova, P Koprinkova-Hristova
AUF-Agence universitaire de la Francophonie, 2009
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
New method for nonlinear fuzzy correction modelling of dynamic objects
Ł Bartczuk, A Przybył, P Koprinkova-Hristova
International Conference on Artificial Intelligence and Soft Computing, 169-180, 2014
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
Neural network modelling of fermentation processes
M Petrova, P Koprinkova, T Patarinska, M Bliznakova
Bioprocess Engineering 18 (4), 281-287, 1998
Reservoir computing for emotion valence discrimination from EEG signals
L Bozhkov, P Koprinkova-Hristova, P Georgieva
Neurocomputing 231, 28-40, 2017
Backpropagation through time training of a neuro-fuzzy controller
P Koprinkova-Hristova
International Journal of Neural Systems 20 (05), 421-428, 2010
Artificial neural networks
P Koprinkova-Hristova, V Mladenov, NK Kasabov
Eur. Urol 40 (1), 245, 2015
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
Membership functions shape and its influence on the dynamical behaviour of fuzzy logic controller
P Koprinkova
Cybernetics & Systems 31 (2), 161-173, 2000
Adaptive critic design with ESN critic for bioprocess optimization
P Koprinkova-Hristova, G Palm
International Conference on Artificial Neural Networks, 438-447, 2010
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
ESN intrinsic plasticity versus reservoir stability
P Koprinkova-Hristova, G Palm
International Conference on Artificial Neural Networks, 69-76, 2011
Data-scaling problems in neural-network training
P Koprinkova, M Petrova
Engineering Applications of Artificial Intelligence 12 (3), 281-296, 1999
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
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
Clustering of spectral images using Echo state networks
P Koprinkova-Hristova, D Angelova, D Borisova, G Jelev
2013 IEEE INISTA, 1-5, 2013
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