Petia D. Koprinkova-Hristova

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 36

Top Topics

Echo State Networks

Reservoir Computing

Word Sense Disambiguation

Visual Information

Top Venues

Int. J. Online Eng.

Publications

Petia D. Koprinkova-Hristova, Ivan Georgiev, Miryana Raykovska
Echo state network for features extraction and segmentation of tomography images. Comput. Sci. Inf. Syst. 21 (1) (2024)
Kiril Simov, Petia D. Koprinkova-Hristova, Alexander Popov, Petya Osenova
A Reservoir Computing Approach to Word Sense Disambiguation. Cogn. Comput. 15 (5) (2023)
Petia D. Koprinkova-Hristova, Dimitar P. Filev, Simona Nedelcheva, Svetlozar Yordanov, Nikola K. Kasabov
On-line Learning, Classification and Interpretation of Brain Signals using 3D SNN and ESN. IJCNN (2023)
Dimitar P. Filev, Petia D. Koprinkova-Hristova, Nikola K. Kasabov, Simona Nedelcheva, Sofiya Ivanovska, Svetlozar Yordanov
Grid Search Optimization of Novel SNN-ESN Classifier on a Supercomputer Platform. LSSC (2023)
Petia D. Koprinkova-Hristova, Mirjana Ivanovic, Banu Diri
Special issue: Innovations in Intelligent Systems and Applications. J. Inf. Telecommun. 6 (1) (2022)
Simona Nedelcheva, Sofiya Ivanovska, Mariya K. Durchova, Petia D. Koprinkova-Hristova
HPC parallel implementation combining NEST Simulator and Python modules. Clust. Comput. 25 (3) (2022)
Petia D. Koprinkova-Hristova, Simona Nedelcheva
Simulation Investigations of Pyramidal Cells Layer Effect on Conscious Visual Perception. NMA (2022)
Petia D. Koprinkova-Hristova
Reservoir Computing Approach for Gray Images Segmentation. INISTA (2022)
Petia D. Koprinkova-Hristova
Reservoir Computing Approach for Gray Images Segmentation. CoRR (2021)
Simona Nedelcheva, Krasimira Georgieva, Petia D. Koprinkova-Hristova
Parallel Implementation of the Model of Retina Ganglion Cells Layer. INISTA (2020)
Petia D. Koprinkova-Hristova, Nadejda Bocheva
Brain-Inspired Spike Timing Model of Dynamic Visual Information Perception and Decision Making with STDP and Reinforcement Learning. LOD (2) (2020)
Petia D. Koprinkova-Hristova, Simona Nedelcheva, Nadejda Bocheva
In-silico Investigation of Human Visual System. BioInfoMed (2020)
Petia D. Koprinkova-Hristova, Nadejda Bocheva, Simona Nedelcheva, Miroslava Stefanova, Bilyana Genova, Radoslava Kraleva, Velin Kralev
STDP Plasticity in TRN Within Hierarchical Spike Timing Model of Visual Information Processing. AIAI (1) (2020)
Petia D. Koprinkova-Hristova, Simona Nedelcheva, Nadejda Bocheva, Radoslava Kraleva, Velin Kralev, Miroslava Stefanova, Bilyana Genova
STDP Training of Hierarchical Spike Timing Model of Visual Information Processing. IJCNN (2020)
Petia D. Koprinkova-Hristova, Nadejda Bocheva
Age-related Spike Timing Dependent Plasticity of Brain-inspired Model of Visual Information Processing with Reinforcement Learning. FedCSIS (2020)
Petia D. Koprinkova-Hristova, Miroslava Stefanova, Bilyana Genova, Nadejda Bocheva, Radoslava Kraleva, Velin Kralev
Features extraction from human eye movements via echo state network. Neural Comput. Appl. 32 (9) (2020)
Alexander Popov, Petia D. Koprinkova-Hristova, Kiril Simov, Petya Osenova
Echo State vs. LSTM Networks for Word Sense Disambiguation. ICANN (Workshop) (2019)
Kiril Ivanov Simov, Petia D. Koprinkova-Hristova, Alexander Popov, Petya Osenova
Word Embeddings Improvement via Echo State Networks. INISTA (2019)
Petia D. Koprinkova-Hristova, Nadejda Bocheva, Simona Nedelcheva, Miroslava Stefanova
Spike Timing Neural Model of Motion Perception and Decision Making. Frontiers Comput. Neurosci. 13 (2019)
Petia D. Koprinkova-Hristova, Miroslava Stefanova, Bilyana Genova, Nadejda Bocheva
Echo State Network for Classification of Human Eye Movements During Decision Making. AIAI (2018)
Petia D. Koprinkova-Hristova, Nadejda Bocheva, Simona Nedelcheva
Investigation of Feedback Connections Effect of a Spike Timing Neural Network Model of Early Visual System. INISTA (2018)
Radoslava Kraleva, Velin Kralev, Nina Sinyagina, Petia D. Koprinkova-Hristova, Nadejda Bocheva
Design and Analysis of a Relational Database for Behavioral Experiments Data Processing. Int. J. Online Eng. 14 (2) (2018)
Velin Spasov Kralev, Radoslava Stankova Kraleva, Nina Sinyagina, Petia D. Koprinkova-Hristova, Nadejda Bocheva
An Analysis of a Web Service based Approach for Experimental Data Sharing. Int. J. Online Eng. 14 (9) (2018)
Petia D. Koprinkova-Hristova, Alexander Popov, Kiril Ivanov Simov, Petya Osenova
Echo State Network for Word Sense Disambiguation. AIMSA (2018)
Lachezar Bozhkov, Petia D. Koprinkova-Hristova, Petia Georgieva
Reservoir computing for emotion valence discrimination from EEG signals. Neurocomputing 231 (2017)
Petia D. Koprinkova-Hristova, Kiril Alexiev
Fuzzy merging of MEMS accelerometers and gyroscopes measurements. INISTA (2016)
Krystian Lapa, Krzysztof Cpalka, Petia D. Koprinkova-Hristova
New Method for Fuzzy Nonlinear Modelling Based on Genetic Programming. ICAISC (1) (2016)
Petia D. Koprinkova-Hristova
Three Approaches to Train Echo State Network Actors of Adaptive Critic Design. ICANN (1) (2016)
Petia D. Koprinkova-Hristova, Kiril Alexiev
Neuro-fuzzy tuning of Kalman filter. IEEE Conf. on Intelligent Systems (2016)
Lachezar Bozhkov, Petia D. Koprinkova-Hristova, Petia Georgieva
Learning to decode human emotions with Echo State Networks. Neural Networks 78 (2016)
Lukasz Bartczuk, Krystian Lapa, Petia D. Koprinkova-Hristova
A New Method for Generating of Fuzzy Rules for the Nonlinear Modelling Based on Semantic Genetic Programming. ICAISC (2) (2016)
Petia D. Koprinkova-Hristova
On effects of IP improvement of ESN reservoirs for reflecting of data structure. IJCNN (2015)
Petia D. Koprinkova-Hristova, Lachezar Bozhkov, Petia Georgieva
Echo State Networks for Feature Selection in Affective Computing. PAAMS (2015)
Petia D. Koprinkova-Hristova, Kiril Alexiev
ACD with ESN for Tuning of MEMS Kalman Filter. LSSC (2015)
Lukasz Bartczuk, Andrzej Przybyl, Petia D. Koprinkova-Hristova
New Method for Non-linear Correction Modelling of Dynamic Objects with Genetic Programming. ICAISC (2015)
Geogi Shishkov, Nevena Popova, Kiril Alexiev, Petia D. Koprinkova-Hristova
Investigation of some parameters of a neuro-fuzzy approach for dynamic sound fields visualization. INISTA (2015)
Petia D. Koprinkova-Hristova, Kiril Alexiev
Dynamic Sound Fields Clusterization Using Neuro-Fuzzy Approach. AIMSA (2014)
Lukasz Bartczuk, Andrzej Przybyl, Petia D. Koprinkova-Hristova
New Method for Nonlinear Fuzzy Correction Modelling of Dynamic Objects. ICAISC (1) (2014)
Petia D. Koprinkova-Hristova
On-line Training of ESN and IP Tuning Effect. ICANN (2014)
Petia D. Koprinkova-Hristova, Kiril Alexiev
Sound fields clusterization via neural networks. INISTA (2014)
Petia D. Koprinkova-Hristova
Hebbian Versus Gradient Training of ESN Actors in Closed-Loop ACD. NMA (2014)
Vessela Naydenova, Vasil Iliev, Maria Kaneva, Georgi Kostov, Petia D. Koprinkova-Hristova, Silviya Popova
Modeling Of Alcohol Fermentation In Brewing - Carbonyl Compounds Synthesis And Reduction. ECMS (2014)
Petia D. Koprinkova-Hristova
Adaptive Critic Design and Heuristic Search for Optimization. LSSC (2013)
Petia D. Koprinkova-Hristova, Nikolay Tontchev, Silviya Popova
Two approaches to multi-criteria optimisation of steel alloys for crankshafts production. Int. J. Reason. based Intell. Syst. 5 (2) (2013)
Petia D. Koprinkova-Hristova, Kiril Alexiev
Echo State Networks in Dynamic Data Clustering. ICANN (2013)
Mincho Hadjiski, Lyubka Doukovska, Petia D. Koprinkova-Hristova
Intelligent diagnostic on mill fan system. IEEE Conf. of Intelligent Systems (2012)
Petia D. Koprinkova-Hristova, Nikolay Tontchev
Echo State Networks for Multi-dimensional Data Clustering. ICANN (1) (2012)
Petia D. Koprinkova-Hristova, Günther Palm
ESN Intrinsic Plasticity versus Reservoir Stability. ICANN (1) (2011)
Petia D. Koprinkova-Hristova, Nikolay Tontchev, Silvia Popova
Neural Networks Approach to Optimization of Steel Alloys Composition. EANN/AIAI (1) (2011)
Petia D. Koprinkova-Hristova
Backpropagation through Time Training of a Neuro-Fuzzy Controller. Int. J. Neural Syst. 20 (5) (2010)
Petia D. Koprinkova-Hristova, Günther Palm
Adaptive Critic Design with ESN Critic for Bioprocess Optimization. ICANN (2) (2010)
Petia D. Koprinkova-Hristova, Georgi Kostov, Mihail Angelov, Petar Pandzharov
Intelligent optimisation of batch fermentations' initial conditions. Int. J. Reason. based Intell. Syst. 2 (3/4) (2010)
Petia D. Koprinkova-Hristova, Mohamed Oubbati, Günther Palm
Adaptive Critic Design with Echo State Network. SMC (2010)
Georgi Kostov, Mihail Angelov, Petia D. Koprinkova-Hristova, Maya N. Ignatova, Alessandra Orsoni
Modeling Of Oxygen Effect On Kinetics Of Batch Fermentation Process For Yogurt Starter Culture FormationConsensus Clustering And Fuzzy Classification For Breast Cancer Prognosis. ECMS (2009)
Petia D. Koprinkova-Hristova, Trayana D. Patarinska
Neural Network Software Sensors Design for lysine Fermentation Process. Appl. Artif. Intell. 22 (3) (2008)
Petia D. Koprinkova-Hristova, Trayana D. Patarinska
Neural network modelling of continuous microbial cultivation accounting for the memory effects. Int. J. Syst. Sci. 37 (5) (2006)