Yevgeniy V. Bodyanskiy

150 papers A* 1A 1B 4C 8Misc 9Journal 38Unranked 83

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Adaptive Online Bagging Using Double Neo-Fuzzy Neuron. ACIT Yevgeniy V. Bodyanskiy, Sergiy Popov, Iryna Pliss, Olha Chala, Pavlo Mulesa
2025	—	`conf`	Adaptive neo-fuzzy bagging metamodel and its fast learning. ISW-CoLInS Yevgeniy V. Bodyanskiy, Ivan Izonin, Iryna Pliss, Olha Chala, Sergiy Popov
2025	—	`conf`	Evolving Neo-Fuzzy System with Adaptive Learning for Online Forecasting of Non-stationary Processes. CMIS Yevgeniy V. Bodyanskiy, Oksana Mulesa, Volodymyr Sabadosh, Petro Horvat
2025	—	`conf`	Improving GEC based on combining algorithmic approach and sequence-to-edit model. CLW-CoLInS Yevgeniy V. Bodyanskiy, Maksym Kharchenko, Nataliya Ryabova
2025	J	`jnl`	Modified Neuro-Fuzzy System for Online Classification of Wind Turbine Blade Defects. IEEE Access Lesia Dubchak, Yevgeniy V. Bodyanskiy, Anatoly Sachenko, Carsten Wolff, Nazar Vivchar, Nadiia Vasylkiv
2025	—	`conf`	Online Feature Vector Restoration in Data Stream Mining Tasks. ProfIT AI Volodymyr Kartashov, Yevgeniy V. Bodyanskiy, Nonna Kulishova, Yehor Kulishov
2025	—	`ed.`	Proceedings of the Intelligent Systems Workshop at 9th International Conference on Computational Linguistics and Intelligent Systems, CoLInS-2025, Kharkiv, Ukraine, May 15-16, 2025. ISW-CoLInS Olga Cherednichenko, Vasyl Lytvyn, Victoria Vysotska, Agnieszka Kowalska-Styczen, Yevgeniy V. Bodyanskiy
2025	—	`ed.`	Proceedings of the PhD Workshop on Artificial Intelligence in Computer Science at 9th International Conference on Computational Linguistics and Intelligent Systems, AICS-CoLInS-2025, Kharkiv, Ukraine, May 15-16, 2025. AICS-CoLInS Olga Cherednichenko, Nina Khairova, Lyubomyr Chyrun, Vasyl Lytvyn, Yevgeniy V. Bodyanskiy
2025	—	`conf`	Stochastic Initialization for Neural Networks Based on the Analysis of Biological Systems. ProfIT AI Oleh Zolotukhin, Yevgeniy V. Bodyanskiy, Valentin Filatov, Maryna Kudryavtseva, Yevhenii Yeriemieiev
2025	—	`conf`	Wind Turbine Blade Defect Classification based on Neuro-Fuzzy System. ACIT Lesia Dubchak, Nazar Vivchar, Yevgeniy V. Bodyanskiy, Anatoliy Sachenko, Nadiia Vasylkiv, Lesia Bilovus
2024	—	`conf`	Adaptive Bagging of Hybrid Systems of Computational Intelligence Using Metamodel Online Optimal Learning. ISDMCI (2) Yevgeniy V. Bodyanskiy, Olha Chala, Iryna Pliss, Sergiy Popov
2024	—	`conf`	Adaptive Piece-Wise Linear Squashing Activation Function for Deep Neural Networks. ProfIT AI Yevgeniy V. Bodyanskiy, Nonna Kulishova, Mykhailo Petrykin, Maxim Kulishov
2024	J	`jnl`	Enhanced Input-Doubling Method Leveraging Response Surface Linearization to Improve Classification Accuracy in Small Medical Data Processing. Comput. Ivan Izonin, Roman Tkachenko, Pavlo Yendyk, Iryna Pliss, Yevgeniy V. Bodyanskiy, Michal Gregus
2024	—	`conf`	Neuro-Fuzzy System with Adaptive Membership-Activation Functions for Pattern Recognition. ACIT Olha Chala, Ivan Izonin, Iryna Pliss, Yevgeniy V. Bodyanskiy
2024	J	`jnl`	OLTW-TEC: online learning with sliding windows for text classifier ensembles. Frontiers Artif. Intell. Khrystyna Lipianina-Honcharenko, Yevgeniy V. Bodyanskiy, Nataliia Kustra, Andrii Ivasechko
2024	—	`conf`	Online Image Segmentation using Сredibilistic Fuzzy Clustering. COLINS (1) Yevgeniy V. Bodyanskiy, Alina Shafronenko, Diana Rudenko, Anton Plubiekhin, Dmytro Frolov
2024	—	`conf`	Online Stacking Credibilistic Fuzzy Clustering for Data Stream Mining. CMIS Yevgeniy V. Bodyanskiy, Alina Shafronenko, Diana Rudenko, Oleksii Tanianskyi
2024	—	`conf`	Probabilistic Neuro-Fuzzy System Based on Greed Partitioning Input Space and It's Fast Combined Learning. IS Olha Chala, Anatoliy Sachenko, Yevgeniy V. Bodyanskiy, Leonid Bytsyura, Agnieszka Molga
2023	—	`conf`	An Intelligent Method of Prediction the Demand for Goods/Services in Crisis Conditions. ProfIT AI Khrystyna Lipianina-Honcharenko, Yevgeniy V. Bodyanskiy, Anatoliy Sachenko, Ivan Kit, Tetiana Podchasova, Taras Lendiuk
2023	J	`jnl`	An improved ANN-based global-local approximation for small medical data analysis. EAI Endorsed Trans. Pervasive Health Technol. Ivan Izonin, Roman Tkachenko, Roman Bliakhar, Michal Kovác, Yevgeniy V. Bodyanskiy, Olha Chala
2023	Misc	`conf`	Application of Hybrid Neural Networks based on bagging and Group Method of Data Handling for forecasting. CSIT Yevgeniy V. Bodyanskiy, Oleksii Kuzmenko, Helen Zaichenko, Yuriy P. Zaychenko
2023	—	`conf`	CLIPTraVeLGAN for Semantically Robust Unpaired Image Translation. COLINS (1) Yevgeniy V. Bodyanskiy, Nataliya Ryabova, Roman Lavrynenko
2023	—	`conf`	Credibilistic Fuzzy Clustering Method Based on Evolutionary Approach of Crazy Wolfs in Online Mode. CMIS Alina Shafronenko, Yevgeniy V. Bodyanskiy, Iryna Pliss
2023	J	`jnl`	Learnable Extended Activation Function for Deep Neural Networks. Int. J. Comput. Yevgeniy V. Bodyanskiy, Serhii Kostiuk
2023	—	`conf`	Matrix Hyper-Basis Function Neural Network and Its Online Learning. IDAACS Olha Chala, Yevgeniy V. Bodyanskiy, Anatoliy Sachenko, Maciej Dobrowolski
2023	—	`ed.`	Selected Papers of the III International Scientific Symposium "Intelligent Solutions" (IntSol-2023). Symposium Proceedings Kyiv - Uzhhorod, Ukraine, September 27-28, 2023., Kyiv - Uzhhorod, Ukraine, September 27-28, 2023. IntSol Peter Bidyuk, Yevgeniy V. Bodyanskiy, Sándor Bozóki, Leonid Hulianytskyi, Roth Hubert, Stan Lipovetsky, Mykola Malyar, Krassimir Markov, Nataliya D. Pankratova, Ivan Sergienko, Vitaliy Snytyuk, Mariya A. Sodenkamp, Yurii Stoyan, Vitaliy V. Tsyganok, Oleksii Voloshyn, Vladimir Vovk, Sergey Yakovlev, Yuriy P. Zaychenko, Michael Zgurovsky
2023	—	`conf`	Stacking Neuro-Neo-Fuzzy System for Pattern Recognition and Its Online Learning. ACIT Yevgeniy V. Bodyanskiy, Olha Chala
2023	A	`conf`	Using Adaptive Activation Functions in Pre-Trained Artificial Neural Network Models. ICST Yevgeniy V. Bodyanskiy, Serhii Kostiuk
2022	Misc	`conf`	Adaptive Least-Squares Support Vector Machine and its Combined Learning-Selflearning in Image Recognition Task. CSIT Yevgeniy V. Bodyanskiy, Sergiy Popov, Filip Brodetskyi, Olha Chala
2022	J	`jnl`	Deep Neural Network with Adaptive Parametric Rectified Linear Units and its Fast Learning. Int. J. Comput. Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Viktoria Skorik, Filip Brodetskyi
2022	—	`conf`	Methods For Increasing The Reliability Of The Functioning Of Pipeline Systems. ProfIT AI Sergey Dyadun, Yevgeniy V. Bodyanskiy, Kyryl Korobchynskyi, Oleg Kobylin
2022	—	`ed.`	Selected Papers of the II International Scientific Symposium "Intelligent Solutions" (IntSol-2021). Workshop Proceedings, Kyiv - Uzhhorod, Ukraine, September 28-30, 2021. IntSol Workshops Peter Bidyuk, Yevgeniy V. Bodyanskiy, Sándor Bozóki, Leonid Hulianytskyi, Hubert Roth, Stan Lipovetsky, Mykola Malyar, Krassimir Markov, Nataliya D. Pankratova, Ivan Sergienko, Vitaliy Snytyuk, Mariya A. Sodenkamp, Yurii Stoyan, Vitaliy V. Tsyganok, Oleksii Voloshyn, Vladimir Vovk, Sergey Yakovlev, Yuriy P. Zaychenko, Michael Zgurovsky
2022	C	`conf`	Simple Neuro-Fuzzy System with Combined Learning for Pattern Recognition under Conditions of Short Training Set in Medical Diagnostics Tasks. IDDM Yevgeniy V. Bodyanskiy, Olha Chala, Ivan Izonin, Sergiy Popov
2021	—	`conf`	2-D Neural Network Based on M-neurons and its Learning. ACIT Alina Albasova, Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Iryna Pliss
2021	—	`conf`	Adaptive Learning of Evolving Hyper Basis Function Neural Network. CMIS Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Iryna Pliss, Oleksandr Zeleniy
2021	—	`conf`	Adaptive Recovery of Distorted Data Based on Credibilistic Fuzzy Clustering Approach. COLINS Yevgeniy V. Bodyanskiy, Alina Shafronenko, Iryna Klymova
2021	—	`conf`	Convolutional hyper basis function neural network and its online learning in the image recognition task. IntelITSIS Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Oleksandr Hontsa, Oleksandr Zeleniy
2021	—	`conf`	Fast Image Recognition Using Double Hyper Basis Function Neural Network and Its Combined Learning. CSIT (1) Yevgeniy V. Bodyanskiy, Olha Chala, Anastasiia O. Deineko, Iryna Pliss
2021	C	`conf`	Generalized Neo-Fuzzy-Neuron with Membership Functions of Special Type in Medical Diagnostics. IDDM Yevgeniy V. Bodyanskiy, Olha Chala
2021	J	`jnl`	Kernel Online System for Fast Principal Component Analysis and its Adaptive Learning. Int. J. Comput. Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Antonina Bondarchuk, Maksym Shalamov
2021	—	`conf`	Multidimensional Neuro-fuzzy System and Fuzzy Coding for a Constant Length Facial Landmark Set Formation. IDAACS Yevgeniy V. Bodyanskiy, Nonna Kulishova
2021	—	`conf`	Neo-Fuzzy System With Special Type Membership Functions Adaptation and Fast Tuning Of Synaptic Weights In Emotion Recognition Task. IntSol Yevgeniy V. Bodyanskiy, Nonna Kulishova, Olha Chala
2021	—	`conf`	Online Credibilistic Fuzzy Clustering Method Based on Cauchy Density Distribution Function. ACIT Alina Shafronenko, Yevgeniy V. Bodyanskiy, Irina Pliss, Klymova Irina
2021	—	`ed.`	Proceedings of the II International Scientific Symposium "Intelligent Solutions" (IntSol-2021), Kyiv-Uzhhorod, Ukraine, September 28-30, 2021. IntSol Peter Bidyuk, Yevgeniy V. Bodyanskiy, Sándor Bozóki, Leonid Hulianytskyi, Hubert Roth, Stan Lipovetsky, Mykola Malyar, Krassimir Markov, Nataliya D. Pankratova, Ivan Sergienko, Vitaliy Snytyuk, Mariya A. Sodenkamp, Yurii Stoyan, Vitaliy V. Tsyganok, Oleksii Voloshyn, Vladimir Vovk, Sergey Yakovlev, Yuriy P. Zaychenko, Michael Zgurovsky
2021	—	`conf`	Robust Recurrent Credibilistic Modification of the Gustafson - Kessel Algorithm. ISDMCI Yevgeniy V. Bodyanskiy, Alina Shafronenko, Iryna Klymova, Vladyslav Polyvoda
2021	—	`conf`	Tunable Activation Functions for Deep Neural Networks. ISDMCI Bohdan Bilonoh, Yevgeniy V. Bodyanskiy, Bohdan Kolchygin, Sergii Mashtalir
2020	Misc	`conf`	Adaptive Learning of Probabilistic Neural Network in Situation of Overlapping Classes in Classification Task. CSIT Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Iryna Pliss, Olha Chala
2020	—	`conf`	Adaptive Least-Squares Support Vector Machine and Its Online Learning. ICTES Anastasiia O. Deineko, Yevgeniy V. Bodyanskiy, Filip Brodetskyi, Danylo Kosmin
2020	—	`conf`	Adaptive Matrix Model for a Crime Forecasting Task. DSMP Dmytro Uzlov, Sergiy Popov, Oleksii Vlasov, Yevgeniy V. Bodyanskiy
2020	—	`conf`	Adaptive Probabilistic Neural Network With Fuzzy Inference And Its Online Learning. CSIT (1) Yevgeniy V. Bodyanskiy, Olha Chala, Iryna Pliss, Anastasiia O. Deineko
2020	—	`conf`	Adaptive fuzzy clustering approach based on evolutionary cat swarm optimization. CMIS Alina Shafronenko, Yevgeniy V. Bodyanskiy
2020	—	`conf`	Deep Neo-Fuzzy Neural Network and its Accelerated Learning. DSMP Yevgeniy V. Bodyanskiy, Tymofii Antonenko
2020	—	`conf`	Evolving Fuzzy-Probabilistic Neural Network and Its Online Learning. ACIT Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Iryna Pliss, Olha Chala
2020	—	`conf`	Evolving Neo-Fuzzy System for Distorted Data Online Processing. ACIT Alina Shafronenko, Yevgeniy V. Bodyanskiy, Iryna Pliss, Sergiy Popov
2020	—	`conf`	Matrix Fuzzy-Probabilistic Neural Network in Image Recognition Task. DSMP Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Iryna Pliss, Olha Chala, Anna Nortsova
2020	—	`conf`	Multilayer Radial-basis Function Network and its Learning. CSIT (1) Yevgeniy V. Bodyanskiy, Anastasiia Pirus, Anastasiia O. Deineko
2020	—	`conf`	Online credibilistic fuzzy clustering of data using membership functions of special type. CMIS Alina Shafronenko, Yevgeniy V. Bodyanskiy, Iryna Klymova, Olexii Holovin
2020	C	`conf`	Probabilistic Neuro-Fuzzy System in Medical Diagnostic Task and its Lazy Learning-Selflearning. IDDM Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Iryna Pliss, Olha Chala
2020	—	`conf`	The Fast Image Recognition System Based on Neuro-Fuzzy Units and its Online Learning for Data Stream Mining Tasks. DSMP Nonna Kulishova, Yevgeniy V. Bodyanskiy, Volodymyr Timofeyev
2019	—	`conf`	2D-Deep Neural Network and Its Online Rapid Learning. IDAACS Yevgeniy V. Bodyanskiy, Olena O. Boiko, Iryna Pliss, Valentyna Volkova
2019	J	`jnl`	A Hybrid Cascade Neuro-Fuzzy Network with Pools of Extended Neo-Fuzzy Neurons and its Deep Learning. Int. J. Appl. Math. Comput. Sci. Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko
2019	J	`jnl`	A Novel Ensemble Neuro-Fuzzy Model for Financial Time Series Forecasting. Data Alexander Vlasenko, Nataliia Vlasenko, Olena Vynokurova, Yevgeniy V. Bodyanskiy, Dmytro Peleshko
2019	—	`conf`	Formal Neuron Based on Adaptive Parametric Rectified Linear Activation Function and its Learning. DCSMart Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Iryna Pliss, Valeriia Slepanska
2019	—	`conf`	Fuzzy Clustering High-Dimensional Data Using Information Weighting. ICAISC (1) Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Sergii V. Mashtalir
2019	—	`conf`	Fuzzy Clusterization of Distorted by Missing Observations Data Sets Using Evolutionary Optimization. ACIT Alina Shafronenko, Yevgeniy V. Bodyanskiy, Iryna Pliss, Kateryna Patlan
2019	C	`conf`	Online Hybrid Probabilistic-Fuzzy Clustering in Medical Data Mining Tasks. IDDM Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Iryna Pliss, Olha Chala
2019	—	`conf`	Online Neuro Fuzzy Clustering of Data with Omissions and Outliers based on Сompletion Strategy. CMIS Yevgeniy V. Bodyanskiy, Alina Shafronenko, Diana Rudenko
2019	—	`conf`	Online Robust Fuzzy Clustering of Data with Omissions Using Similarity Measure of Special Type. ISDMCI Yevgeniy V. Bodyanskiy, Alina Shafronenko, Sergii Mashtalir
2019	—	`ed.`	Proceedings of the Second International Workshop on Computer Modeling and Intelligent Systems (CMIS-2019), Zaporizhzhia, Ukraine, April 15-19, 2019. CMIS David Luengo, Sergey Subbotin, Peter Arras, Yevgeniy V. Bodyanskiy, Karsten Henke, Ivan Izonin, Vitaly G. Levashenko, Volodymyr Lytvynenko, Anzhelika Parkhomenko, Andreas Pester, Natalya Shakhovska, Alexei Sharpanskykh, Galyna Tabunshchyk, Carsten Wolff, Heinz-Dietrich Wuttke, Elena Zaitseva
2019	—	`conf`	Recognition of Human Primitive Motions for the Fitness Trackers. ISDMCI Iryna Perova, Polina Zhernova, Oleh Datsok, Yevgeniy V. Bodyanskiy, Olha Velychko
2019	—	`conf`	Spline-Orthogonal Extended Neo-Fuzzy Neuron. CISP-BMEI Yevgeniy V. Bodyanskiy, Yuriy P. Zaychenko, Nonna Kulishova, Galib Hamidov
2019	—	`conf`	The Extended Generalized Neo-Fuzzy Network and Its Online Learning in Image Recognition Problem. IDAACS Nonna Kulishova, Yevgeniy V. Bodyanskiy, Iryna Pliss
2018	J	`jnl`	A neuro-fuzzy Kohonen network for data stream possibilistic clustering and its online self-learning procedure. Appl. Soft Comput. Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Olena O. Boiko
2018	J	`jnl`	Adaptive Human Machine Interaction Approach for Feature Selection-Extraction Task in Medical Data Mining. Int. J. Comput. Iryna Perova, Yevgeniy V. Bodyanskiy
2018	—	`conf`	Adaptive Kernel Data Streams Clustering Based on Neural Networks Ensembles in Conditions of Uncertainty About Amount and Shapes of Clusters. DSMP Polina Ye. Zhernova, Anastasiia O. Deineko, Yevgeniy V. Bodyanskiy, Vladyslav O. Riepin
2018	—	`conf`	Associative Probabilistic Neuro-Fuzzy System for Data Classification Under Short Training Set Conditions. DepCoS-RELCOMEX Yevgeniy V. Bodyanskiy, Artem Dolotov, Dmytro Peleshko, Yuriy Rashkevych, Olena Vynokurova
2018	—	`conf`	Deep 2D-Neural Network and its Fast Learning. DSMP Yevgeniy V. Bodyanskiy, Iryna Pliss, Daria S. Kopaliani, Olena O. Boiko
2018	C	`conf`	Deep Evolving Stacking Convex Cascade Neo-Fuzzy Network and Its Rapid Learning. FedCSIS Yevgeniy V. Bodyanskiy, Galina Setlak, Olena Vynokurova, Iryna Pliss, Olena O. Boiko
2018	C	`conf`	Fuzzy Clustering of Biomedical Datasets Using BSB-Neuro-Fuzzy-Model. IDDM Iryna Perova, Yevgeniy V. Bodyanskiy, Anatoliy Sachenko, Mikolaj P. Karpinski, Pawel Rudyk
2018	—	`conf`	Fuzzy Clustering of Distorted Observations Based on Optimal Expansion Using Partial Distances. DSMP Alina Shafronenko, Artem Dolotov, Yevgeniy V. Bodyanskiy, Galina Setlak
2018	J	`jnl`	Kernel Fuzzy Kohonen's Clustering Neural Network and It's Recursive Learning. Autom. Control. Comput. Sci. Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, F. M. Eze
2018	—	`conf`	Matrix Deep Neural Network and Its Rapid Learning in Data Science Tasks. ACIT Iryna Pliss, Olena O. Boiko, Valentyna Volkova, Yevgeniy V. Bodyanskiy
2018	—	`conf`	Medical Data-Stream Mining in the Area of Electromagnetic Radiation and Low Temperature Influence on Biological Objects. DSMP Iryna Perova, Olena Litovchenko, Yevgeniy V. Bodyanskiy, Yelizaveta Brazhnykova, Igor Zavgorodnii, Pavlo Mulesa
2018	—	`conf`	The Autoencoder Based on Generalized Neo-Fuzzy Neuron and its Fast Learning for Deep Neural Networks. DSMP Yevgeniy V. Bodyanskiy, Dmytro Peleshko, Yuriy Rashkevych, Olena Vynokurova
2018	J	`jnl`	The Extended Multidimensional Neo-Fuzzy System and Its Fast Learning in Pattern Recognition Tasks. Data Yevgeniy V. Bodyanskiy, Nonna Kulishova, Olha Chala
2018	—	`conf`	The Multidimensional Extended Neo-Fuzzy System and its Fast Learning for Emotions Online Recognition. DSMP Yevgeniy V. Bodyanskiy, Nonna Kulishova, Daria Malysheva
2018	—	`conf`	The Neo-Fuzzy Autoencoder for Adaptive Deep Neural Systems and its Learning. ACIT Yevgeniy V. Bodyanskiy, Iryna Pliss, Olena Vynokurova
2017	—	`conf`	A hybrid growing ENFN-based neuro-fuzzy system and its rapid deep learning. CSIT (1) Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko
2017	—	`conf`	Adaptive Fuzzy Clustering of Multivariate Short Time Series with Unevenly Distributed Observations Based on Matrix Neuro-Fuzzy Self-organizing Network. EUSFLAT/IWIFSGN (3) Galina Setlak, Yevgeniy V. Bodyanskiy, Iryna Pliss, Olena Vynokurova, Dmytro Peleshko, Illya Kobylin
2017	J	`jnl`	Adaptive multivariate hybrid neuro-fuzzy system and its on-board fast learning. Neurocomputing Yevgeniy V. Bodyanskiy, Olena Vynokurova, Galina Setlak, Dmytro Peleshko, Pavlo Mulesa
2017	J	`jnl`	An evolving connectionist system for data stream fuzzy clustering and its online learning. Neurocomputing Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Daria S. Kopaliani
2017	—	`conf`	Deep Stacking Convex Neuro-Fuzzy System and Its On-line Learning. DepCoS-RELCOMEX Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Dmytro Peleshko, Yuriy Rashkevych
2017	—	`conf`	Evolving GMDH-neuro-fuzzy system with small number of tuning parameters. ICNC-FSKD Yevgeniy V. Bodyanskiy, Olena O. Boiko, Yuriy P. Zaychenko, Galib Hamidov
2017	J	`jnl`	Fast Medical Diagnostics using Autoassociative Neuro-fuzzy Memory. Int. J. Comput. Iryna Perova, Yevgeniy V. Bodyanskiy
2017	J	`jnl`	Fuzzy Clustering Data Given in the Ordinal Scale. CoRR Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Viktoriia O. Samitova
2017	J	`jnl`	Fuzzy Clustering Data Given on the Ordinal Scale Based on Membership and Likelihood Functions Sharing. CoRR Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Viktoriia O. Samitova
2017	J	`jnl`	On-line kernel clustering based on the general regression neural network and T. Kohonen's self-organizing map. Autom. Control. Comput. Sci. Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Yana V. Kutsenko
2016	J	`jnl`	A Multidimensional Cascade Neuro-Fuzzy System with Neuron Pool Optimization in Each Cascade. CoRR Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Daria S. Kopaliani
2016	Misc	`conf`	A cascade deep neuro-fuzzy system for high-dimensional online possibilistic fuzzy clustering. CSIT Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko
2016	—	`conf`	A deep cascade neuro-fuzzy system for high-dimensional online fuzzy clustering. DSMP Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko
2016	—	`conf`	A fast learning algorithm of self-learning spiking neural network. DSMP Yevgeniy V. Bodyanskiy, Artem Dolotov, Iryna Pliss, Mykola Malyar
2016	J	`jnl`	Adaptive Forecasting of Non-Stationary Nonlinear Time Series Based on the Evolving Weighted Neuro-Neo-Fuzzy-ANARX-Model. CoRR Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Olena O. Boiko
2016	J	`jnl`	Adaptive learning of an evolving cascade neo-fuzzy system in data stream mining tasks. Evol. Syst. Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Daria S. Kopaliani
2016	—	`conf`	Adaptive robust models for identification of nonstationary systems in data stream mining tasks. DSMP Yevgeniy V. Bodyanskiy, Olena Vynokurova, Zdzislaw Szymanski, Illya Kobylin, Oleg Kobylin
2016	J	`jnl`	An Ensemble of Adaptive Neuro-Fuzzy Kohonen Networks for Online Data Stream Fuzzy Clustering. CoRR Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Olena O. Boiko
2016	J	`jnl`	An Evolving Cascade System Based on A Set Of Neo Fuzzy Nodes. CoRR Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Olena O. Boiko
2016	J	`jnl`	An Evolving Neuro-Fuzzy System with Online Learning/Self-learning. CoRR Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Anastasiia O. Deineko
2016	J	`jnl`	An Extended Neo-Fuzzy Neuron and its Adaptive Learning Algorithm. CoRR Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Daria S. Kopaliani
2016	—	`conf`	Data streams fast EM-fuzzy clustering based on Kohonen's self-learning. DSMP Yevgeniy V. Bodyanskiy, Anastasiia O. Deineko, Yana V. Kutsenko, Oleksandr O. Zayika
2016	C	`conf`	Deep Evolving GMDH-SVM-Neural Network and its Learning for Data Mining Tasks. FedCSIS Galina Setlak, Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss
2016	—	`conf`	Fast learning algorithm for deep evolving GMDH-SVM neural network in data stream mining tasks. DSMP Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Galina Setlak, Pavlo Mulesa
2016	—	`conf`	Hybrid Generalized Additive Wavelet-Neuro-Fuzzy-System and Its Adaptive Learning. DepCoS-RELCOMEX Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Dmytro Peleshko, Yuriy Rashkevych
2016	J	`jnl`	Hybrid clustering-classification neural network in the medical diagnostics of reactive arthritis. CoRR Yevgeniy V. Bodyanskiy, Olena Vynokurova, Volodymyr Savvo, Tatiana Tverdokhlib, Pavlo Mulesa
2015	J	`jnl`	A hybrid cascade neural network with an optimized pool in each cascade. Soft Comput. Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Daria S. Kopaliani
2015	Misc	`conf`	An evolving neuro-fuzzy system for online fuzzy clustering. CSIT Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Daria S. Kopaliani
2015	J	`jnl`	An evolving radial basis neural network with adaptive learning of its parameters and architecture. Autom. Control. Comput. Sci. Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Anastasiia O. Deineko
2015	Misc	`conf`	Flexible 2D membership functions for images filtering using fuzzy peer group approach. CSIT Nonna Kulishova, Yevgeniy V. Bodyanskiy
2015	—	`conf`	Hybrid generalized additive neuro-fuzzy system and its adaptive learning algorithms. IDAACS Yevgeniy V. Bodyanskiy, Galina Setlak, Dmytro Peleshko, Olena Vynokurova
2015	Misc	`conf`	Hybrid neuro-neo-fuzzy system and its adaptive learning algorithm. CSIT Yevgeniy V. Bodyanskiy, Olena Vynokurova, Galina Setlak, Iryna Pliss
2014	J	`jnl`	Evolving spiking wavelet-neuro-fuzzy self-learning system. Appl. Soft Comput. Yevgeniy V. Bodyanskiy, Artem Dolotov, Olena Vynokurova
2013	C	`conf`	A Spiking Neuron Model based on the Lambert W Function. IJCCI Yevgeniy V. Bodyanskiy, Artem Dolotov
2013	J	`jnl`	Hybrid adaptive wavelet-neuro-fuzzy system for chaotic time series identification. Inf. Sci. Yevgeniy V. Bodyanskiy, Olena Vynokurova
2013	—	`conf`	Implementation of search mechanism for implicit dependences in process mining. IDAACS Olga Kalynychenko, Sergii Chalyi, Yevgeniy V. Bodyanskiy, Vira Golian, Nataliia Golian
2012	J	`jnl`	Modified Probabilistic Neuro-fuzzy Network for Text Documents Processing. Int. J. Comput. Yevgeniy V. Bodyanskiy, Irina Pliss, Valentyna Volkova
2011	J	`jnl`	Matrix Neuro-Fuzzy Self-Organizing Clustering Network. Sci. J. Riga Tech. Univ. Ser. Comput. Sci. Yevgeniy V. Bodyanskiy, Valentyna Volkova, Mark Skuratov
2011	—	`conf`	Semantic annotation of text documents using modified probabilistic neural network. IDAACS (1) Yevgeniy V. Bodyanskiy, Olga Shubkina
2010	J	`jnl`	Autoassociative Memory Evolving System Based on Fuzzy Basis Functions. Sci. J. Riga Tech. Univ. Ser. Comput. Sci. Yevgeniy V. Bodyanskiy, Nataliya Teslenko
2010	A*	`conf`	Fast Training of Neural Networks for Image Compression. ICDM Yevgeniy V. Bodyanskiy, Paul Grimm, Sergey Mashtalir, Vladimir Vinarski
2009	J	`jnl`	A Multilayered Self-Learning Spiking Neural Network and its Learning Algorithm Based on 'Winner-Takes-More' Rule in Hierarchical Clustering. Sci. J. Riga Tech. Univ. Ser. Comput. Sci. Yevgeniy V. Bodyanskiy, Artem Dolotov
2009	—	`conf`	Function Decomposition Network. ICANN (1) Yevgeniy V. Bodyanskiy, Sergiy Popov, Mykola Titov
2008	Misc	`conf`	Multilayer Neuro-fuzzy Network for Short Term Electric Load Forecasting. CSR Yevgeniy V. Bodyanskiy, Sergiy Popov, Taras Rybalchenko
2008	—	`conf`	Robust Learning Algorithm for Networks of Neuro-Fuzzy Units. SCSS (1) Yevgeniy V. Bodyanskiy, Sergiy Popov, Mykola Titov
2006	J	`jnl`	Neural network approach to forecasting of quasiperiodic financial time series. Eur. J. Oper. Res. Yevgeniy V. Bodyanskiy, Sergiy Popov
2005	J	`jnl`	An adaptive learning algorithm for a wavelet neural network. Expert Syst. J. Knowl. Eng. Yevgeniy V. Bodyanskiy, Nataliya Lamonova, Irina Pliss, Olena Vynokurova
2005	—	`conf`	Computational Intelligence Techniques for Data Analysis. Leipziger Informatik-Tage Yevgeniy V. Bodyanskiy
2005	Misc	`conf`	Neuro-Fuzzy Kolmogorov's Network for Time Series Prediction and Pattern Classification. KI Yevgeniy V. Bodyanskiy, Vitaliy Kolodyazhniy, Peter Otto
2005	—	`conf`	Neuro-fuzzy Kolmogorov's Network. ICANN (2) Yevgeniy V. Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Valeriya Poyedyntseva
2005	—	`conf`	Rough Sets-Based Recursive Learning Algorithm for Radial Basis Function Networks. ICANN (2) Yevgeniy V. Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Irina Pliss
2004	—	`conf`	Combined Learning Algorithm for a Self-Organizing Map with Fuzzy Inference. Fuzzy Days Yevgeniy V. Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Andreas Stephan
2004	B	`conf`	Fuzzy Kolmogorov's Network. KES Vitaliy Kolodyazhniy, Yevgeniy V. Bodyanskiy
2004	B	`conf`	Fuzzy Selection Mechanism for Multimodel Prediction. KES Yevgeniy V. Bodyanskiy, Sergiy Popov
2004	—	`conf`	Universal Approximator Employing Neo-Fuzzy Neurons. Fuzzy Days Vitaliy Kolodyazhniy, Yevgeniy V. Bodyanskiy, Peter Otto
2003	—	`conf`	A learning probabilistic neural network with fuzzy inference. ICANNGA Yevgeniy V. Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Jürgen Wernstedt
2003	J	`jnl`	A new learning algorithm for a forecasting neuro-fuzzy network. Integr. Comput. Aided Eng. Peter Otto, Yevgeniy V. Bodyanskiy, Vitaliy Kolodyazhniy
2003	B	`conf`	An Optimal Algorithm for Combining Multivariate Forecasts in Hybrid Systems. KES Yevgeniy V. Bodyanskiy, Peter Otto, Irina Pliss, Sergiy Popov
2003	—	`conf`	An adaptive learning algorithm for a neo fuzzy neuron. EUSFLAT Conf. Yevgeniy V. Bodyanskiy, Illya Kokshenev, Vitaliy Kolodyazhniy
2003	B	`conf`	Probabilistic Neuro-fuzzy Network with Non-conventional Activation Functions. KES Yevgeniy V. Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Jürgen Wernstedt
2003	—	`conf`	Resource-allocating probabilistic neuro-fuzzy network. EUSFLAT Conf. Yevgeniy V. Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy
2001	—	`conf`	An Adaptive Learning Algorithm for a Neuro-fuzzy Network. Fuzzy Days Yevgeniy V. Bodyanskiy, Vitaliy Kolodyazhniy, Andreas Stephan
1999	—	`conf`	Detection of NARMA-sequence order using recurrent artificiai neural networks. ECC Yevgeniy V. Bodyanskiy, Sergiy A. Vorobyov, Andreas Stephan