P. Koprinkova-Hristova

发表

COMPARATIVE STUDY ON INTELLIGENT AND CLASSICAL MODELLING AND COMPOSITION OPTIMIZATION OF STEEL ALLOYS

S. Popov, S. Popova, N. Tontchev, 2011 .

Artificial Neural Networks and Machine Learning

Petia Koprinkova-Hristova, Valeri Mladenov, Valeri Mladenov, 2016 .

Reservoir Computing Approach for Gray Images Segmentation

P. Koprinkova-Hristova, 2021, 2022 International Conference on INnovations in Intelligent SysTems and Applications (INISTA).

Proceedings of the 23rd International Conference on Artificial Neural Networks and Machine Learning ICANN 2013 - Volume 8131

Günther Palm, Nikola Kasabov, Petia Koprinkova-Hristova, 2013, ICANN 2013.

Artificial Neural Networks and Machine Learning - ICANN 2013 : 23rd International Conference on Artificial Neural Networks Sofia, Bulgaria, September 10-13, 2013. Proceedings

Günther Palm, Petia Koprinkova-Hristova, Valeri Mladenov, 2013 .

Modeling of Batch Alcohol Fermentation with Free and Immobilized Yeasts Saccharomyces Cerevisiae 46 EVD

S. Popova, G. Kostov, V. Gochev, 2012 .

A New Method for Generating of Fuzzy Rules for the Nonlinear Modelling Based on Semantic Genetic Programming

Krystian Lapa, Petia D. Koprinkova-Hristova, Lukasz Bartczuk, 2016, ICAISC.

Research on Artificial Neural Networks in Bulgarian Academy of Sciences

Petia Koprinkova-Hristova, P. Koprinkova-Hristova, 2021, Studies in Computational Intelligence.

Fuzzy operations' parameters versus membership functions' parameters influence on fuzzy control systems properties

P.D. Koprinkova-Hristova, P. Koprinkova-Hristova, 2004, 2004 2nd International IEEE Conference on 'Intelligent Systems'. Proceedings (IEEE Cat. No.04EX791).

Two approaches to multi-criteria optimisation of steel alloys for crankshafts production

Silviya Popova, Petia Koprinkova-Hristova, Nikolay Tontchev, 2013, Int. J. Reason. based Intell. Syst..

Data Analysis from Two-choice Decision Tasks in Visual Information Processing

P. Koprinkova-Hristova, V. Kralev, Radoslava Kraleva, 2021 .

Backpropagation through Time Training of a Neuro-Fuzzy Controller

PETIA KOPRINKOVA-HRISTOVA, P. Koprinkova-Hristova, 2010, Int. J. Neural Syst..

Hebbian Versus Gradient Training of ESN Actors in Closed-Loop ACD

Petia D. Koprinkova-Hristova, P. Koprinkova-Hristova, 2014, NMA.

New Method for Nonlinear Fuzzy Correction Modelling of Dynamic Objects

Petia D. Koprinkova-Hristova, Lukasz Bartczuk, Andrzej Przybyl, 2014, ICAISC.

Data modelling and data processing generated by human eye movements

Petia Koprinkova-Hristova, Velin Kralev, Radoslava Kraleva, 2021 .

Recurrent Neural Networks for Predictive Maintenance of Mill Fan Systems

Petia Koprinkova-Hristova, Lyubka Doukovska, Mincho Hadjiski, 2011 .

Design and Analysis of a Relational Database for Behavioral Experiments Data Processing

Velin Kralev, Radoslava Kraleva, Nadejda Bocheva, 2018, Int. J. Online Eng..

Reservoir computing for emotion valence discrimination from EEG signals

Petia D. Koprinkova-Hristova, Petia Georgieva, Lachezar Bozhkov, 2017, Neurocomputing.

Learning to decode human emotions with Echo State Networks

Petia D. Koprinkova-Hristova, Lachezar Bozhkov, Petia Georgieva, 2016, Neural Networks.

Echo State Networks for Feature Selection in Affective Computing

Petia D. Koprinkova-Hristova, Lachezar Bozhkov, Petia Georgieva, 2015, PAAMS.

Reinforcement Learning for Predictive Maintenance of Industrial Plants

P. Koprinkova-Hristova, P. Koprinkova-Hristova, 2013 .

Artificial Neural Networks and Machine Learning – ICANN 2014

Günther Palm, Stefan Wermter, Cornelius Weber, 2014, Lecture Notes in Computer Science.

Oxygen influence in the mutual metabolism of S. thermophilus and Lb. bulgaricus in yogurt starter cultures

G. Kostov, P. Koprinkova-Hristova, E. Simova, 2009 .

Intelligent optimisation of batch fermentations' initial conditions

Petia D. Koprinkova-Hristova, Georgi Kostov, Mihail Angelov, 2010, Int. J. Reason. based Intell. Syst..

Proto-cooperation factors in yogurt starter cultures

G. Kostov, P. Koprinkova-Hristova, E. Simova, 2009 .

Learning of embodied interaction dynamics with recurrent neural networks: some exploratory experiments

Petia Koprinkova-Hristova, Mohamed Oubbati, Günther Palm, 2014, Journal of neural engineering.

A Reservoir Computing Approach to Word Sense Disambiguation

Petia Koprinkova-Hristova, Petya Osenova, Kiril Simov, 2020, Cognitive Computation.

STDP Training of Hierarchical Spike Timing Model of Visual Information Processing

Petia Koprinkova-Hristova, Velin Kralev, Nadejda Bocheva, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

STDP Plasticity in TRN Within Hierarchical Spike Timing Model of Visual Information Processing

Petia Koprinkova-Hristova, Velin Kralev, Nadejda Bocheva, 2020, AIAI.

Spike Timing Neural Model of Motion Perception and Decision Making

Petia D. Koprinkova-Hristova, Nadejda Bocheva, Simona Nedelcheva, 2019, Front. Comput. Neurosci..

On-line Training of ESN and IP Tuning Effect

Petia D. Koprinkova-Hristova, P. Koprinkova-Hristova, 2014, ICANN.

ESN Intrinsic Plasticity versus Reservoir Stability

Petia D. Koprinkova-Hristova, Günther Palm, G. Palm, 2011, ICANN.

Gap Filling of Daily Sea Levels by Artificial Neural Networks

Lyubka Pashova, Petia Koprinkova-Hristova, Silviya Popova, 2013 .

Orientation Selectivity Tuning of a Spike Timing Neural Network Model of the First Layer of the Human Visual Cortex

Petia Koprinkova-Hristova, Simona Nedelcheva, P. Koprinkova-Hristova, 2017, Advanced Computing in Industrial Mathematics.

Artificial Neural Networks and Machine Learning – ICANN 2013

Günther Palm, Nikola Kasabov, Petia Koprinkova-Hristova, 2013, Lecture Notes in Computer Science.

Three Approaches to Train Echo State Network Actors of Adaptive Critic Design

Petia D. Koprinkova-Hristova, P. Koprinkova-Hristova, 2016, ICANN.

Neuro-fuzzy tuning of Kalman filter

Petia D. Koprinkova-Hristova, Kiril Alexiev, P. Koprinkova-Hristova, 2016, 2016 IEEE 8th International Conference on Intelligent Systems (IS).

ACD with ESN for Tuning of MEMS Kalman Filter

Petia D. Koprinkova-Hristova, Kiril Alexiev, P. Koprinkova-Hristova, 2015, LSSC.

Intelligent Optimization of a Mixed Culture Cultivation Process

Petia Koprinkova-Hristova, Silviya Popova, Georgi Kostov, 2015 .

Adaptive Critic Design and Heuristic Search for Optimization

Petia D. Koprinkova-Hristova, P. Koprinkova-Hristova, 2013, LSSC.

Adaptive Critic Design with Echo State Network

Petia Koprinkova-Hristova, Mohamed Oubbati, Guenther Palm, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

Adaptive Critic Design with ESN Critic for Bioprocess Optimization

Günther Palm, Petia D. Koprinkova-Hristova, G. Palm, 2010, ICANN.

Heuristic dynamic programming using echo state network as online trainable adaptive critic

Petia Koprinkova-Hristova, Günther Palm, Mohamed Oubbati, 2012 .

Smart Feature Extraction from Acoustic Camera Multi-sensor Measurements

Petia Koprinkova-Hristova, Kiril Alexiev, Iurii Chyrka, 2016 .