Neural Network Modelling of Fermentation Taking into Account Culture Memory. - Petia D. Koprinkova; Marieta N. Petrova; Trayana D. Patarinska (ICANNGA, 1995)

Neural Network Modeling of Fermentation Processes: Specific Kinetic Rate Models. - Petia D. Koprinkova; Marieta N. Petrova; Trayana D. Patarinska; M. Bliznakova (Cybern. Syst., 1998)

Membership Functions Shape and its Influence on the Dynamical Behaviour of Fuzzy Logic Controller. - Petia D. Koprinkova (Cybern. Syst., 2000)

Membership Functions Shape and its Influence on the Stability of Fuzzy Control Systems. - Petia D. Koprinkova (Cybern. Syst., 2000)

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)

Memory effects description by neural networks with delayed feedback connections. - Petia D. Koprinkova; Trayana D. Patarinska; Marieta N. Petrova (Int. J. Intell. Syst., 2004)

Neural network modelling of continuous microbial cultivation accounting for the memory effects. - Petia D. Koprinkova-Hristova; Trayana D. Patarinska (Int. J. Syst. Sci., 2006)

Neural Network Software Sensors Design for lysine Fermentation Process. - Petia D. Koprinkova-Hristova; Trayana D. Patarinska (Appl. Artif. Intell., 2008)

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 (ECMS, 2009)

Adaptive Critic Design with ESN Critic for Bioprocess Optimization. - Petia D. Koprinkova-Hristova; Günther Palm (ICANN (2), 2010)

Adaptive Critic Design with Echo State Network. - Petia D. Koprinkova-Hristova; Mohamed Oubbati; Günther Palm (SMC, 2010)

Backpropagation through Time Training of a Neuro-Fuzzy Controller. - Petia D. Koprinkova-Hristova (Int. J. Neural Syst., 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)

ESN Intrinsic Plasticity versus Reservoir Stability. - Petia D. Koprinkova-Hristova; Günther Palm (ICANN (1), 2011)

Neural Networks Approach to Optimization of Steel Alloys Composition. - Petia D. Koprinkova-Hristova; Nikolay Tontchev; Silvia Popova (EANN, 2011)

Echo State Networks for Multi-dimensional Data Clustering. - Petia D. Koprinkova-Hristova; Nikolay Tontchev (ICANN (1), 2012)

Intelligent diagnostic on mill fan system. - Mincho Hadjiski; Lyubka Doukovska; Petia D. Koprinkova-Hristova (IEEE Conf. of Intelligent Systems, 2012)

Echo State Networks in Dynamic Data Clustering. - Petia D. Koprinkova-Hristova; Kiril Alexiev (ICANN, 2013)

Adaptive Critic Design and Heuristic Search for Optimization. - Petia D. Koprinkova-Hristova (LSSC, 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)

Dynamic Sound Fields Clusterization Using Neuro-Fuzzy Approach. - Petia D. Koprinkova-Hristova; Kiril Alexiev (AIMSA, 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 (ECMS, 2014)

New Method for Nonlinear Fuzzy Correction Modelling of Dynamic Objects. - Lukasz Bartczuk; Andrzej Przybyl; Petia D. Koprinkova-Hristova (ICAISC (1), 2014)

On-line Training of ESN and IP Tuning Effect. - Petia D. Koprinkova-Hristova (ICANN, 2014)

Sound fields clusterization via neural networks. - Petia D. Koprinkova-Hristova; Kiril Alexiev (INISTA, 2014)

Hebbian Versus Gradient Training of ESN Actors in Closed-Loop ACD. - Petia D. Koprinkova-Hristova (NMA, 2014)

New Method for Non-linear Correction Modelling of Dynamic Objects with Genetic Programming. - Lukasz Bartczuk; Andrzej Przybyl; Petia D. Koprinkova-Hristova (ICAISC, 2015)

On effects of IP improvement of ESN reservoirs for reflecting of data structure. - Petia D. Koprinkova-Hristova (IJCNN, 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 (INISTA, 2015)

ACD with ESN for Tuning of MEMS Kalman Filter. - Petia D. Koprinkova-Hristova; Kiril Alexiev (LSSC, 2015)

Echo State Networks for Feature Selection in Affective Computing. - Petia D. Koprinkova-Hristova; Lachezar Bozhkov; Petia Georgieva (PAAMS, 2015)

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 (ICAISC (2), 2016)

New Method for Fuzzy Nonlinear Modelling Based on Genetic Programming. - Krystian Lapa; Krzysztof Cpalka; Petia D. Koprinkova-Hristova (ICAISC (1), 2016)

Three Approaches to Train Echo State Network Actors of Adaptive Critic Design. - Petia D. Koprinkova-Hristova (ICANN (1), 2016)

Fuzzy merging of MEMS accelerometers and gyroscopes measurements. - Petia D. Koprinkova-Hristova; Kiril Alexiev (INISTA, 2016)

Neuro-fuzzy tuning of Kalman filter. - Petia D. Koprinkova-Hristova; Kiril Alexiev (IEEE Conf. on Intelligent Systems, 2016)

Learning to decode human emotions with Echo State Networks. - Lachezar Bozhkov; Petia D. Koprinkova-Hristova; Petia Georgieva (Neural Networks, 2016)

Multi-dimensional Data Clustering and Visualization via Echo State Networks. - Petia D. Koprinkova-Hristova (New Approaches in Intelligent Image Analysis, 2016)

Genetic algorithm for system modelling. - Marius Olteanu; Nicolae Paraschiv; Petia D. Koprinkova; Yancho Todorov (ECAI, 2017)

Reservoir computing for emotion valence discrimination from EEG signals. - Lachezar Bozhkov; Petia D. Koprinkova-Hristova; Petia Georgieva (Neurocomputing, 2017)

Echo State Network for Word Sense Disambiguation. - Petia D. Koprinkova-Hristova; Alexander Popov; Kiril Ivanov Simov; Petya Osenova (AIMSA, 2018)

Echo State Network for Classification of Human Eye Movements During Decision Making. - Petia D. Koprinkova-Hristova; Miroslava Stefanova; Bilyana Genova; Nadejda Bocheva (AIAI, 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 (INISTA, 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)

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)

Echo State vs. LSTM Networks for Word Sense Disambiguation. - Alexander Popov; Petia D. Koprinkova-Hristova; Kiril Simov; Petya Osenova (ICANN (Workshop), 2019)

Word Embeddings Improvement via Echo State Networks. - Kiril Ivanov Simov; Petia D. Koprinkova-Hristova; Alexander Popov; Petya Osenova (INISTA, 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)

In-silico Investigation of Human Visual System. - Petia D. Koprinkova-Hristova; Simona Nedelcheva; Nadejda Bocheva (BioInfoMed, 2020)

Age-related Spike Timing Dependent Plasticity of Brain-inspired Model of Visual Information Processing with Reinforcement Learning. - Petia D. Koprinkova-Hristova; Nadejda Bocheva (FedCSIS, 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 (AIAI (1), 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 (IJCNN, 2020)

Parallel Implementation of the Model of Retina Ganglion Cells Layer. - Simona Nedelcheva; Krasimira Georgieva; Petia D. Koprinkova-Hristova (INISTA, 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 (LOD (2), 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)

Reservoir Computing Approach for Gray Images Segmentation. - Petia D. Koprinkova-Hristova (INISTA, 2022)

Simulation Investigations of Pyramidal Cells Layer Effect on Conscious Visual Perception. - Petia D. Koprinkova-Hristova; Simona Nedelcheva (NMA, 2022)

HPC parallel implementation combining NEST Simulator and Python modules. - Simona Nedelcheva; Sofiya Ivanovska; Mariya K. Durchova; Petia D. Koprinkova-Hristova (Clust. Comput., 2022)

Special issue: Innovations in Intelligent Systems and Applications. - Petia D. Koprinkova-Hristova; Mirjana Ivanovic; Banu Diri (J. Inf. Telecommun., 2022)

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 (IJCNN, 2023)

Grid Search Optimization of Novel SNN-ESN Classifier on a Supercomputer Platform. - Dimitar P. Filev; Petia D. Koprinkova-Hristova; Nikola K. Kasabov; Simona Nedelcheva; Sofiya Ivanovska; Svetlozar Yordanov (LSSC, 2023)

A Reservoir Computing Approach to Word Sense Disambiguation. - Kiril Simov; Petia D. Koprinkova-Hristova; Alexander Popov; Petya Osenova (Cogn. Comput., 2023)

Reinforcement Learning Control of Cart Pole System with Spike Timing Neural Network Actor-Critic Architecture. - Borislav Markov; Petia D. Koprinkova-Hristova (AIMSA, 2024)

Investigation of Conscious Visual Perception via Visual Stimulus Propagation through a 3D-SNN Brain Model. - Petia D. Koprinkova-Hristova; Simona Nedelcheva; Nadejda Bocheva (INISTA, 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)

A Web Service-Based Application for Processing EEG Experimental Data Generated in Response to Visual Stimuli. - Velin Kralev; Radoslava Kraleva; Petia D. Koprinkova; Nadejda Bocheva; Miroslava Stefanova (Int. J. Online Biomed. Eng., 2025)