Petia D. Koprinkova-Hristova

According to our database, Petia D. Koprinkova-Hristova authored at least 62 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Echo state network for features extraction and segmentation of tomography images.

Petia D. Koprinkova-Hristova, Ivan Georgiev, Miryana Raykovska

Comput. Sci. Inf. Syst., 2024

2023

A Reservoir Computing Approach to Word Sense Disambiguation.

Kiril Simov, Petia D. Koprinkova-Hristova, Alexander Popov, Petya Osenova

Cogn. Comput., September, 2023

On-line Learning, Classification and Interpretation of Brain Signals using 3D SNN and ESN.

Petia D. Koprinkova-Hristova, Dimitar P. Filev, Simona Nedelcheva, Svetlozar Yordanov, Nikola K. Kasabov

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Special issue: Innovations in Intelligent Systems and Applications.

Petia D. Koprinkova-Hristova, Mirjana Ivanovic, Banu Diri

J. Inf. Telecommun., 2022

HPC parallel implementation combining NEST Simulator and Python modules.

Simona Nedelcheva, Sofiya Ivanovska, Mariya K. Durchova, Petia D. Koprinkova-Hristova

Clust. Comput., 2022

Simulation Investigations of Pyramidal Cells Layer Effect on Conscious Visual Perception.

Petia D. Koprinkova-Hristova, Simona Nedelcheva

Proceedings of the Numerical Methods and Applications - 10th International Conference, 2022

Reservoir Computing Approach for Gray Images Segmentation.

Petia D. Koprinkova-Hristova

Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2022

2020

Features extraction from human eye movements via echo state network.

Petia D. Koprinkova-Hristova, Miroslava Stefanova, Bilyana Genova, Nadejda Bocheva, Radoslava Kraleva, Velin Kralev

Neural Comput. Appl., 2020

Brain-Inspired Spike Timing Model of Dynamic Visual Information Perception and Decision Making with STDP and Reinforcement Learning.

Petia D. Koprinkova-Hristova, Nadejda Bocheva

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Parallel Implementation of the Model of Retina Ganglion Cells Layer.

Simona Nedelcheva, Krasimira Georgieva, Petia D. Koprinkova-Hristova

Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2020

STDP Training of Hierarchical Spike Timing Model of Visual Information Processing.

Petia D. Koprinkova-Hristova, Simona Nedelcheva, Nadejda Bocheva, Radoslava Kraleva, Velin Kralev, Miroslava Stefanova, Bilyana Genova

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

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

Petia D. Koprinkova-Hristova, Nadejda Bocheva, Simona Nedelcheva, Miroslava Stefanova, Bilyana Genova, Radoslava Kraleva, Velin Kralev

Proceedings of the Artificial Intelligence Applications and Innovations, 2020

Age-related Spike Timing Dependent Plasticity of Brain-inspired Model of Visual Information Processing with Reinforcement Learning.

Petia D. Koprinkova-Hristova, Nadejda Bocheva

Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 2020

In-silico Investigation of Human Visual System.

Petia D. Koprinkova-Hristova, Simona Nedelcheva, Nadejda Bocheva

Proceedings of the Contemporary Methods in Bioinformatics and Biomedicine and Their Applications, 2020

2019

Spike Timing Neural Model of Motion Perception and Decision Making.

Petia D. Koprinkova-Hristova, Nadejda Bocheva, Simona Nedelcheva, Miroslava Stefanova

Frontiers Comput. Neurosci., 2019

Word Embeddings Improvement via Echo State Networks.

Kiril Ivanov Simov, Petia D. Koprinkova-Hristova, Alexander Popov, Petya Osenova

Proceedings of the IEEE International Symposium on INnovations in Intelligent SysTems and Applications, 2019

Echo State vs. LSTM Networks for Word Sense Disambiguation.

Alexander Popov, Petia D. Koprinkova-Hristova, Kiril Simov, Petya Osenova

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

2018

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

Radoslava Kraleva, Velin Kralev, Nina Sinyagina, Petia D. Koprinkova-Hristova, Nadejda Bocheva

Int. J. Online Eng., 2018

An Analysis of a Web Service based Approach for Experimental Data Sharing.

Velin Spasov Kralev, Radoslava Stankova Kraleva, Nina Sinyagina, Petia D. Koprinkova-Hristova, Nadejda Bocheva

Int. J. Online Eng., 2018

Investigation of Feedback Connections Effect of a Spike Timing Neural Network Model of Early Visual System.

Petia D. Koprinkova-Hristova, Nadejda Bocheva, Simona Nedelcheva

Proceedings of the 2018 Innovations in Intelligent Systems and Applications, 2018

Echo State Network for Classification of Human Eye Movements During Decision Making.

Petia D. Koprinkova-Hristova, Miroslava Stefanova, Bilyana Genova, Nadejda Bocheva

Proceedings of the Artificial Intelligence Applications and Innovations, 2018

Echo State Network for Word Sense Disambiguation.

Petia D. Koprinkova-Hristova, Alexander Popov, Kiril Ivanov Simov, Petya Osenova

Proceedings of the Artificial Intelligence: Methodology, Systems, and Applications, 2018

2017

Reservoir computing for emotion valence discrimination from EEG signals.

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

Neurocomputing, 2017

Genetic algorithm for system modelling.

Marius Olteanu, Nicolae Paraschiv, Petia D. Koprinkova, Yancho Todorov

Proceedings of the 9th International Conference on Electronics, 2017

2016

Multi-dimensional Data Clustering and Visualization via Echo State Networks.

Petia D. Koprinkova-Hristova

Proceedings of the New Approaches in Intelligent Image Analysis, 2016

Learning to decode human emotions with Echo State Networks.

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

Neural Networks, 2016

Neuro-fuzzy tuning of Kalman filter.

Petia D. Koprinkova-Hristova, Kiril Alexiev

Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016

Fuzzy merging of MEMS accelerometers and gyroscopes measurements.

Petia D. Koprinkova-Hristova, Kiril Alexiev

Proceedings of the International Symposium on INnovations in Intelligent SysTems and Applications, 2016

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

Petia D. Koprinkova-Hristova

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

New Method for Fuzzy Nonlinear Modelling Based on Genetic Programming.

Krystian Lapa, Krzysztof Cpalka, Petia D. Koprinkova-Hristova

Proceedings of the Artificial Intelligence and Soft Computing, 2016

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

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

Proceedings of the Artificial Intelligence and Soft Computing, 2016

2015

Echo State Networks for Feature Selection in Affective Computing.

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

Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection, 2015

ACD with ESN for Tuning of MEMS Kalman Filter.

Petia D. Koprinkova-Hristova, Kiril Alexiev

Proceedings of the Large-Scale Scientific Computing - 10th International Conference, 2015

Investigation of some parameters of a neuro-fuzzy approach for dynamic sound fields visualization.

Geogi Shishkov, Nevena Popova, Kiril Alexiev, Petia D. Koprinkova-Hristova

Proceedings of the International Symposium on Innovations in Intelligent SysTems and Applications, 2015

On effects of IP improvement of ESN reservoirs for reflecting of data structure.

Petia D. Koprinkova-Hristova

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

New Method for Non-linear Correction Modelling of Dynamic Objects with Genetic Programming.

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

Proceedings of the Artificial Intelligence and Soft Computing, 2015

2014

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

Petia D. Koprinkova-Hristova

Proceedings of the Numerical Methods and Applications - 8th International Conference, 2014

Sound fields clusterization via neural networks.

Petia D. Koprinkova-Hristova, Kiril Alexiev

Proceedings of the 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications, 2014

On-line Training of ESN and IP Tuning Effect.

Petia D. Koprinkova-Hristova

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

New Method for Nonlinear Fuzzy Correction Modelling of Dynamic Objects.

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

Proceedings of the Artificial Intelligence and Soft Computing, 2014

Modeling Of Alcohol Fermentation In Brewing - Carbonyl Compounds Synthesis And Reduction.

Vessela Naydenova, Vasil Iliev, Maria Kaneva, Georgi Kostov, Petia D. Koprinkova-Hristova, Silviya Popova

Proceedings of the 28th European Conference on Modelling and Simulation, 2014

Dynamic Sound Fields Clusterization Using Neuro-Fuzzy Approach.

Petia D. Koprinkova-Hristova, Kiril Alexiev

Proceedings of the Artificial Intelligence: Methodology, Systems, and Applications, 2014

2013

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

Petia D. Koprinkova-Hristova, Nikolay Tontchev, Silviya Popova

Int. J. Reason. based Intell. Syst., 2013

Adaptive Critic Design and Heuristic Search for Optimization.

Petia D. Koprinkova-Hristova

Proceedings of the Large-Scale Scientific Computing - 9th International Conference, 2013

Echo State Networks in Dynamic Data Clustering.

Petia D. Koprinkova-Hristova, Kiril Alexiev

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012

Intelligent diagnostic on mill fan system.

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

Proceedings of the 6th IEEE International Conference on Intelligent Systems, 2012

Echo State Networks for Multi-dimensional Data Clustering.

Petia D. Koprinkova-Hristova, Nikolay Tontchev

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011

Neural Networks Approach to Optimization of Steel Alloys Composition.

Petia D. Koprinkova-Hristova, Nikolay Tontchev, Silvia Popova

Proceedings of the Engineering Applications of Neural Networks, 2011

ESN Intrinsic Plasticity versus Reservoir Stability.

Petia D. Koprinkova-Hristova, Günther Palm

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010

Intelligent optimisation of batch fermentations' initial conditions.

Petia D. Koprinkova-Hristova, Georgi Kostov, Mihail Angelov, Petar Pandzharov

Int. J. Reason. based Intell. Syst., 2010

Backpropagation through Time Training of a Neuro-Fuzzy Controller.

Petia D. Koprinkova-Hristova

Int. J. Neural Syst., 2010

Adaptive Critic Design with Echo State Network.

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

Proceedings of the IEEE International Conference on Systems, 2010

Adaptive Critic Design with ESN Critic for Bioprocess Optimization.

Petia D. Koprinkova-Hristova, Günther Palm

Proceedings of the Artificial Neural Networks, 2010

2009

Modeling Of Oxygen Effect On Kinetics Of Batch Fermentation Process For Yogurt Starter Culture FormationConsensus Clustering And Fuzzy Classification For Breast Cancer Prognosis.

Georgi Kostov, Mihail Angelov, Petia D. Koprinkova-Hristova, Maya N. Ignatova, Alessandra Orsoni

Proceedings of the European Conference on Modelling and Simulation, 2009

2008

Neural Network Software Sensors Design for lysine Fermentation Process.

Petia D. Koprinkova-Hristova, Trayana D. Patarinska

Appl. Artif. Intell., 2008

2006

Neural network modelling of continuous microbial cultivation accounting for the memory effects.

Petia D. Koprinkova-Hristova, Trayana D. Patarinska

Int. J. Syst. Sci., 2006

2004

Memory effects description by neural networks with delayed feedback connections.

Petia D. Koprinkova, Trayana D. Patarinska, Marieta N. Petrova

Int. J. Intell. Syst., 2004

2003

Neural Network Based Biomass and Growth Rate Estimation Aimed to Control of a Chemostat Microbial Cultivation.

Silvia Popova, Petia D. Koprinkova, Trayana D. Patarinska

Appl. Artif. Intell., 2003

2000

Membership Functions Shape and its Influence on the Stability of Fuzzy Control Systems.

Petia D. Koprinkova

Cybern. Syst., 2000

Membership Functions Shape and its Influence on the Dynamical Behaviour of Fuzzy Logic Controller.

Petia D. Koprinkova

Cybern. Syst., 2000

1998

Neural Network Modeling of Fermentation Processes: Specific Kinetic Rate Models.

Petia D. Koprinkova, Marieta N. Petrova, Trayana D. Patarinska, M. Bliznakova

Cybern. Syst., 1998

1995

Neural Network Modelling of Fermentation Taking into Account Culture Memory.

Petia D. Koprinkova, Marieta N. Petrova, Trayana D. Patarinska

Proceedings of the Artificial Neural Nets and Genetic Algorithms, 1995