default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDPetia D. Koprinkova-Hristova
Person information
- affiliation: Bulgarian Academy of Sciences, Sofia, Bulgaria
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j20]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): 379-393 (2024)- [c43]Petia D. Koprinkova-Hristova, Simona Nedelcheva, Nadejda Bocheva:
Investigation of Conscious Visual Perception via Visual Stimulus Propagation through a 3D-SNN Brain Model. INISTA 2024: 1-6 - [e5]Costin Badica, Mirjana Ivanovic, Petia D. Koprinkova-Hristova, Florin Leon, Yannis Manolopoulos, Tülay Yildirim, Aysegül Uçar:
International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2024, Craiova, Romania, September 4-6, 2024. IEEE 2024, ISBN 979-8-3503-6813-0 [contents] - 2023
- [j19]Kiril Simov, Petia D. Koprinkova-Hristova, Alexander Popov, Petya Osenova:
A Reservoir Computing Approach to Word Sense Disambiguation. Cogn. Comput. 15(5): 1409-1418 (2023) - [c42]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: 1-6 - [c41]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: 435-443 - 2022
- [j18]Simona Nedelcheva, Sofiya Ivanovska, Mariya K. Durchova, Petia D. Koprinkova-Hristova:
HPC parallel implementation combining NEST Simulator and Python modules. Clust. Comput. 25(3): 1637-1644 (2022) - [j17]Petia D. Koprinkova-Hristova, Mirjana Ivanovic, Banu Diri:
Special issue: Innovations in Intelligent Systems and Applications. J. Inf. Telecommun. 6(1): 1-5 (2022) - [c40]Petia D. Koprinkova-Hristova:
Reservoir Computing Approach for Gray Images Segmentation. INISTA 2022: 1-6 - [c39]Petia D. Koprinkova-Hristova, Simona Nedelcheva:
Simulation Investigations of Pyramidal Cells Layer Effect on Conscious Visual Perception. NMA 2022: 200-208 - 2021
- [i1]Petia D. Koprinkova-Hristova:
Reservoir Computing Approach for Gray Images Segmentation. CoRR abs/2107.11077 (2021) - 2020
- [j16]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): 4213-4226 (2020) - [c38]Petia D. Koprinkova-Hristova, Simona Nedelcheva, Nadejda Bocheva:
In-silico Investigation of Human Visual System. BioInfoMed 2020: 224-235 - [c37]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: 93-100 - [c36]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: 279-290 - [c35]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: 1-8 - [c34]Simona Nedelcheva, Krasimira Georgieva, Petia D. Koprinkova-Hristova:
Parallel Implementation of the Model of Retina Ganglion Cells Layer. INISTA 2020: 1-6 - [c33]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: 421-435
2010 – 2019
- 2019
- [j15]Petia D. Koprinkova-Hristova, Nadejda Bocheva, Simona Nedelcheva, Miroslava Stefanova:
Spike Timing Neural Model of Motion Perception and Decision Making. Frontiers Comput. Neurosci. 13: 20 (2019) - [c32]Alexander Popov, Petia D. Koprinkova-Hristova, Kiril Simov, Petya Osenova:
Echo State vs. LSTM Networks for Word Sense Disambiguation. ICANN (Workshop) 2019: 94-109 - [c31]Kiril Ivanov Simov, Petia D. Koprinkova-Hristova, Alexander Popov, Petya Osenova:
Word Embeddings Improvement via Echo State Networks. INISTA 2019: 1-6 - [e4]Petia D. Koprinkova-Hristova, Tuly Yildirim, Vincenzo Piuri, Lazaros S. Iliadis, David Camacho:
IEEE International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2019, Sofia, Bulgaria, July 3-5, 2019. IEEE 2019, ISBN 978-1-7281-1862-8 [contents] - 2018
- [j14]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): 117-132 (2018) - [j13]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): 19-34 (2018) - [c30]Petia D. Koprinkova-Hristova, Alexander Popov, Kiril Ivanov Simov, Petya Osenova:
Echo State Network for Word Sense Disambiguation. AIMSA 2018: 73-82 - [c29]Petia D. Koprinkova-Hristova, Miroslava Stefanova, Bilyana Genova, Nadejda Bocheva:
Echo State Network for Classification of Human Eye Movements During Decision Making. AIAI 2018: 337-348 - [c28]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: 1-7 - 2017
- [j12]Lachezar Bozhkov, Petia D. Koprinkova-Hristova, Petia Georgieva:
Reservoir computing for emotion valence discrimination from EEG signals. Neurocomputing 231: 28-40 (2017) - [c27]Marius Olteanu, Nicolae Paraschiv, Petia D. Koprinkova, Yancho Todorov:
Genetic algorithm for system modelling. ECAI 2017: 1-4 - 2016
- [j11]Lachezar Bozhkov, Petia D. Koprinkova-Hristova, Petia Georgieva:
Learning to decode human emotions with Echo State Networks. Neural Networks 78: 112-119 (2016) - [c26]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: 262-278 - [c25]Krystian Lapa, Krzysztof Cpalka, Petia D. Koprinkova-Hristova:
New Method for Fuzzy Nonlinear Modelling Based on Genetic Programming. ICAISC (1) 2016: 432-449 - [c24]Petia D. Koprinkova-Hristova:
Three Approaches to Train Echo State Network Actors of Adaptive Critic Design. ICANN (1) 2016: 494-501 - [c23]Petia D. Koprinkova-Hristova, Kiril Alexiev:
Fuzzy merging of MEMS accelerometers and gyroscopes measurements. INISTA 2016: 1-6 - [c22]Petia D. Koprinkova-Hristova, Kiril Alexiev:
Neuro-fuzzy tuning of Kalman filter. IEEE Conf. on Intelligent Systems 2016: 651-657 - [p1]Petia D. Koprinkova-Hristova:
Multi-dimensional Data Clustering and Visualization via Echo State Networks. New Approaches in Intelligent Image Analysis 2016: 93-122 - 2015
- [c21]Lukasz Bartczuk, Andrzej Przybyl, Petia D. Koprinkova-Hristova:
New Method for Non-linear Correction Modelling of Dynamic Objects with Genetic Programming. ICAISC 2015: 318-329 - [c20]Petia D. Koprinkova-Hristova:
On effects of IP improvement of ESN reservoirs for reflecting of data structure. IJCNN 2015: 1-7 - [c19]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: 1-8 - [c18]Petia D. Koprinkova-Hristova, Kiril Alexiev:
ACD with ESN for Tuning of MEMS Kalman Filter. LSSC 2015: 226-233 - [c17]Petia D. Koprinkova-Hristova, Lachezar Bozhkov, Petia Georgieva:
Echo State Networks for Feature Selection in Affective Computing. PAAMS 2015: 131-141 - 2014
- [c16]Petia D. Koprinkova-Hristova, Kiril Alexiev:
Dynamic Sound Fields Clusterization Using Neuro-Fuzzy Approach. AIMSA 2014: 194-205 - [c15]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: 279-284 - [c14]Lukasz Bartczuk, Andrzej Przybyl, Petia D. Koprinkova-Hristova:
New Method for Nonlinear Fuzzy Correction Modelling of Dynamic Objects. ICAISC (1) 2014: 169-180 - [c13]Petia D. Koprinkova-Hristova:
On-line Training of ESN and IP Tuning Effect. ICANN 2014: 25-32 - [c12]Petia D. Koprinkova-Hristova, Kiril Alexiev:
Sound fields clusterization via neural networks. INISTA 2014: 368-374 - [c11]Petia D. Koprinkova-Hristova:
Hebbian Versus Gradient Training of ESN Actors in Closed-Loop ACD. NMA 2014: 95-102 - [e3]Stefan Wermter, Cornelius Weber, Wlodzislaw Duch, Timo Honkela, Petia D. Koprinkova-Hristova, Sven Magg, Günther Palm, Alessandro E. P. Villa:
Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings. Lecture Notes in Computer Science 8681, Springer 2014, ISBN 978-3-319-11178-0 [contents] - [e2]Valentina Emilia Balas, Petia D. Koprinkova-Hristova, Lakhmi C. Jain:
Innovations in Intelligent Machines-5 - Computational Intelligence in Control Systems Engineering. Studies in Computational Intelligence 561, Springer 2014, ISBN 978-3-662-43369-0 [contents] - 2013
- [j10]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): 96-103 (2013) - [c10]Petia D. Koprinkova-Hristova, Kiril Alexiev:
Echo State Networks in Dynamic Data Clustering. ICANN 2013: 343-350 - [c9]Petia D. Koprinkova-Hristova:
Adaptive Critic Design and Heuristic Search for Optimization. LSSC 2013: 248-255 - [e1]Valeri M. Mladenov, Petia D. Koprinkova-Hristova, Günther Palm, Alessandro E. P. Villa, Bruno Appollini, Nikola K. Kasabov:
Artificial Neural Networks and Machine Learning - ICANN 2013 - 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013. Proceedings. Lecture Notes in Computer Science 8131, Springer 2013, ISBN 978-3-642-40727-7 [contents] - 2012
- [c8]Petia D. Koprinkova-Hristova, Nikolay Tontchev:
Echo State Networks for Multi-dimensional Data Clustering. ICANN (1) 2012: 571-578 - [c7]Mincho Hadjiski, Lyubka Doukovska, Petia D. Koprinkova-Hristova:
Intelligent diagnostic on mill fan system. IEEE Conf. of Intelligent Systems 2012: 341-346 - 2011
- [c6]Petia D. Koprinkova-Hristova, Günther Palm:
ESN Intrinsic Plasticity versus Reservoir Stability. ICANN (1) 2011: 69-76 - [c5]Petia D. Koprinkova-Hristova, Nikolay Tontchev, Silvia Popova:
Neural Networks Approach to Optimization of Steel Alloys Composition. EANN/AIAI (1) 2011: 315-324 - 2010
- [j9]Petia D. Koprinkova-Hristova:
Backpropagation through Time Training of a Neuro-Fuzzy Controller. Int. J. Neural Syst. 20(5): 421-428 (2010) - [j8]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): 285-292 (2010) - [c4]Petia D. Koprinkova-Hristova, Günther Palm:
Adaptive Critic Design with ESN Critic for Bioprocess Optimization. ICANN (2) 2010: 438-447 - [c3]Petia D. Koprinkova-Hristova, Mohamed Oubbati, Günther Palm:
Adaptive Critic Design with Echo State Network. SMC 2010: 1010-1015
2000 – 2009
- 2009
- [c2]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: 46-51 - 2008
- [j7]Petia D. Koprinkova-Hristova, Trayana D. Patarinska:
Neural Network Software Sensors Design for lysine Fermentation Process. Appl. Artif. Intell. 22(3): 235-253 (2008) - 2006
- [j6]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): 271-277 (2006) - 2004
- [j5]Petia D. Koprinkova, Trayana D. Patarinska, Marieta N. Petrova:
Memory effects description by neural networks with delayed feedback connections. Int. J. Intell. Syst. 19(4): 341-351 (2004) - 2003
- [j4]Silvia Popova, Petia D. Koprinkova, Trayana D. Patarinska:
Neural Network Based Biomass and Growth Rate Estimation Aimed to Control of a Chemostat Microbial Cultivation. Appl. Artif. Intell. 17(4): 345-360 (2003) - 2000
- [j3]Petia D. Koprinkova:
Membership Functions Shape and its Influence on the Dynamical Behaviour of Fuzzy Logic Controller. Cybern. Syst. 31(2): 161-173 (2000) - [j2]Petia D. Koprinkova:
Membership Functions Shape and its Influence on the Stability of Fuzzy Control Systems. Cybern. Syst. 31(4): 353-371 (2000)
1990 – 1999
- 1998
- [j1]Petia D. Koprinkova, Marieta N. Petrova, Trayana D. Patarinska, M. Bliznakova:
Neural Network Modeling of Fermentation Processes: Specific Kinetic Rate Models. Cybern. Syst. 29(3): 303-317 (1998) - 1995
- [c1]Petia D. Koprinkova, Marieta N. Petrova, Trayana D. Patarinska:
Neural Network Modelling of Fermentation Taking into Account Culture Memory. ICANNGA 1995: 72-75
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-09 13:27 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
