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Petia Koprinkova-Hristova
Petia Koprinkova-Hristova
Prof., Bulgarian Academy of Sciences
Verified email at iict.bas.bg
Title
Cited by
Cited by
Year
Learning to decode human emotions with Echo State Networks
L Bozhkov, P Koprinkova-Hristova, P Georgieva
Neural Networks 78, 112-119, 2016
602016
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
472018
Reservoir computing for emotion valence discrimination from EEG signals
L Bozhkov, P Koprinkova-Hristova, P Georgieva
Neurocomputing 231, 28-40, 2017
442017
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
382012
Artificial neural networks
P Koprinkova-Hristova, V Mladenov, NK Kasabov
Eur. Urol 40 (1), 245, 2015
362015
Echo state networks for multi-dimensional data clustering
P Koprinkova-Hristova, N Tontchev
Artificial Neural Networks and Machine Learning–ICANN 2012: 22nd …, 2012
312012
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
292009
Neural network modelling of fermentation processes: specific growth rate model
M Petrova, P Koprinkova, T Patarinska, M Bliznakova
Bioprocess Engineering 18, 281-287, 1998
291998
Neural network modelling of fermentation processes. Microorganisms cultivation model
M Petrova, P Koprinkova, T Patarinska
Bioprocess Engineering 16, 145-149, 1997
291997
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
282010
Backpropagation through time training of a neuro-fuzzy controller
P Koprinkova-Hristova
International Journal of Neural Systems 20 (05), 421-428, 2010
272010
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
262014
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
232013
Data-scaling problems in neural-network training
P Koprinkova, M Petrova
Engineering Applications of Artificial Intelligence 12 (3), 281-296, 1999
231999
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
222000
Adaptive critic design with ESN critic for bioprocess optimization
P Koprinkova-Hristova, G Palm
International Conference on Artificial Neural Networks, 438-447, 2010
212010
ESN intrinsic plasticity versus reservoir stability
P Koprinkova-Hristova, G Palm
Artificial Neural Networks and Machine Learning–ICANN 2011: 21st …, 2011
182011
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
172013
Clustering of spectral images using Echo state networks
P Koprinkova-Hristova, D Angelova, D Borisova, G Jelev
2013 IEEE INISTA, 1-5, 2013
162013
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