Information and measurement system for analyzing images of fundus tissue using computer-integrated technologies.

Olena Vynokurova https://scholar.google.com/citations?user=E0FTLrYAAAAJ https://orcid.org/0000-0002-9414-2477 https://www.wikidata.org/entity/Q58307416 Kharkiv National University of Radio Electronics, Ukraine Oleksandr Povstianoi Olena Vynokurova Viktor Denysiuk Yurii Lapchenko Roman Hrudetskij Information and measurement system for analyzing images of fundus tissue using computer-integrated technologies. 90-103 2025 ITTAP https://ceur-ws.org/Vol-4146/paper06.pdf conf/ittap/2025 db/conf/ittap/ittap2025.html#PovstianoiVDLH25 Danylo Stukhliak Oleg Totosko Petro Stukhliak Olena Vynokurova Danyl Zhytnyk Comparison of interpolation methods for modelling the characteristics of oxide-containing epoxy composites. 104-115 2025 ITTAP https://ceur-ws.org/Vol-4146/paper07.pdf conf/ittap/2025 db/conf/ittap/ittap2025.html#StukhliakTSVZ25 Petro Stukhliak Oleg Totosko Olena Vynokurova Danulo Stukhlyak Investigation of tribotechnical characteristics of epoxy composites using neural networks. 157-170 2024 BAIT https://ceur-ws.org/Vol-3842/paper10.pdf conf/bait/2024 db/conf/bait/bait2024.html#StukhliakTVS24 Olena Vynokurova Dmytro Peleshko Marta Peleshko Maksym Kapys Serhii Shatilo Audio Deep Watermarking and Algebraic Transform. 159-176 2024 ISDMCI (2) https://doi.org/10.1007/978-3-031-88483-2_8 conf/isdmci/2024-2 db/conf/isdmci/isdmci2024-2.html#VynokurovaPPKS24 Petro Stukhliak Oleg Totosko Danulo Stukhlyak Olena Vynokurova Iaroslav Lytvynenko Use of neural networks for modelling the mechanical characteristics of epoxy composites treated with electric spark water hammer. 405-418 2024 ITTAP https://ceur-ws.org/Vol-3896/paper24.pdf conf/ittap/2024 db/conf/ittap/ittap2024.html#StukhliakTSVL24 Olena Vynokurova Dmytro Peleshko Oleksandr Bondarenko Vadim Ilyasov Vladislav Serzhantov Marta Peleshko Hybrid Machine Learning System for Solving Fraud Detection Tasks. 1-5 2020 DSMP https://doi.org/10.1109/DSMP47368.2020.9204244 conf/dsmp/2020p db/conf/dsmp/dsmp2020p.html#VynokurovaPBISP20 Olena Vynokurova Dmytro Peleshko Marta Peleshko Hybrid Deep Convolutional Neural Network with Multimodal Fusion. 62-78 2020 DSMP (Selected Papers) https://doi.org/10.1007/978-3-030-61656-4_4 db/conf/dsmp/dsmp2020.html#VynokurovaPP20 Alexander Vlasenko Yuriy Rashkevych Nataliia Vlasenko Dmytro Peleshko Olena Vynokurova A Hybrid EMD - Neuro-Fuzzy Model for Financial Time Series Analysis. 112-115 2020 DSMP https://doi.org/10.1109/DSMP47368.2020.9204179 conf/dsmp/2020p db/conf/dsmp/dsmp2020p.html#VlasenkoRVPV20 Olena Vynokurova Dmytro Peleshko Hybrid Multidimensional Deep Convolutional Neural Network for Multimodal Fusion. 131-135 2020 DSMP https://doi.org/10.1109/DSMP47368.2020.9204215 conf/dsmp/2020p db/conf/dsmp/dsmp2020p.html#VynokurovaP20 Alexander Vlasenko Nataliia Vlasenko Olena Vynokurova Dmytro Peleshko An Empirical Mode Decomposition Based Method to Synthesize Ensemble Multidimensional Gaussian Neuro-Fuzzy Models in Financial Forecasting. 140-149 2020 DSMP (Selected Papers) https://doi.org/10.1007/978-3-030-61656-4_9 db/conf/dsmp/dsmp2020.html#VlasenkoVVP20 Olena Vynokurova Dmytro Peleshko Polina Zhernova Iryna Perova Andrii Kovalenko Solving Fraud Detection Tasks Based on Wavelet-Neuro Autoencoder. 535-546 2020 ISDMCI https://doi.org/10.1007/978-3-030-54215-3_34 conf/isdmci/2020 db/conf/isdmci/isdmci2020.html#VynokurovaPZPK20 Sergii Babichev Dmytro Peleshko Olena Vynokurova Data Stream Mining & Processing - Third International Conference, DSMP 2020, Lviv, Ukraine, August 21-25, 2020, Selected Papers DSMP (Selected Papers) Springer 2020 Communications in Computer and Information Science 1158 978-3-030-61655-7 978-3-030-61656-4 https://doi.org/10.1007/978-3-030-61656-4 db/conf/dsmp/dsmp2020.html Volodymyr Lytvynenko Sergii Babichev Waldemar Wójcik Olena Vynokurova Svetlana Vyshemyrskaya Svetlana Radetskaya Lecture Notes in Computational Intelligence and Decision Making - Proceedings of the 15th International Scientific Conference "Intellectual Systems of Decision Making and Problems of Computational Intelligence", ISDMCI 2019, Salisnyj Port, Ukraine, May 21-25, 2019 ISDMCI Springer 2020 Advances in Intelligent Systems and Computing 1020 978-3-030-26473-4 978-3-030-26474-1 https://doi.org/10.1007/978-3-030-26474-1 db/conf/isdmci/isdmci2019.html

Alexander Vlasenko Nataliia Vlasenko Olena Vynokurova Yevgeniy V. Bodyanskiy Dmytro Peleshko A Novel Ensemble Neuro-Fuzzy Model for Financial Time Series Forecasting. 126 2019 4 Data 3 https://doi.org/10.3390/data4030126 db/journals/data/data4.html#VlasenkoVVBP19

Alexander Vlasenko Nataliia Vlasenko Olena Vynokurova Dmytro Peleshko A Novel Neuro-Fuzzy Model for Multivariate Time-Series Prediction. 62 2018 3 Data 4 https://doi.org/10.3390/data3040062 https://www.wikidata.org/entity/Q128787465 db/journals/data/data3.html#VlasenkoVVP18

Yevgeniy V. Bodyanskiy Iryna Pliss Olena Vynokurova The Neo-Fuzzy Autoencoder for Adaptive Deep Neural Systems and its Learning. 161-164 2018 ACIT https://ceur-ws.org/Vol-2300/Paper39.pdf conf/acit4/2018 db/conf/acit4/acit2018.html#BodyanskiyPVB18 Yevgeniy V. Bodyanskiy Artem Dolotov Dmytro Peleshko Yuriy Rashkevych Olena Vynokurova Associative Probabilistic Neuro-Fuzzy System for Data Classification Under Short Training Set Conditions. 56-63 2018 DepCoS-RELCOMEX https://doi.org/10.1007/978-3-319-91446-6_6 conf/depcos/2018 db/conf/depcos/depcos2018.html#BodyanskiyDPRV18 Yevgeniy V. Bodyanskiy Dmytro Peleshko Yuriy Rashkevych Olena Vynokurova The Autoencoder Based on Generalized Neo-Fuzzy Neuron and its Fast Learning for Deep Neural Networks. 113-118 2018 DSMP https://doi.org/10.1109/DSMP.2018.8478624 conf/dsmp/2018 db/conf/dsmp/dsmp2018.html#BodyanskiyPRV18 Olena Vynokurova Dmytro Peleshko Yuriy Borzov Semen Oskerko Viktor Voloshyn Hybrid Multidimensional Wavelet-Neuro-System and its Learning Using Cross Entropy Cost Function in Pattern Recognition. 305-309 2018 DSMP https://doi.org/10.1109/DSMP.2018.8478608 conf/dsmp/2018 db/conf/dsmp/dsmp2018.html#VynokurovaPBOV18 Alexander Vlasenko Olena Vynokurova Nataliia Vlasenko Marta Peleshko A Hybrid Neuro-Fuzzy Model for Stock Market Time-Series Prediction. 352-355 2018 DSMP https://doi.org/10.1109/DSMP.2018.8478494 conf/dsmp/2018 db/conf/dsmp/dsmp2018.html#VlasenkoVVP18 Yevgeniy V. Bodyanskiy Galina Setlak Olena Vynokurova Iryna Pliss Olena O. Boiko Deep Evolving Stacking Convex Cascade Neo-Fuzzy Network and Its Rapid Learning. 29-33 2018 FedCSIS https://doi.org/10.15439/2018F200 conf/fedcsis/2018 db/conf/fedcsis/fedcsis2018.html#BodyanskiySVPB18

Yevgeniy V. Bodyanskiy Olena Vynokurova Galina Setlak Dmytro Peleshko Pavlo Mulesa Adaptive multivariate hybrid neuro-fuzzy system and its on-board fast learning. 409-416 2017 230 Neurocomputing https://doi.org/10.1016/j.neucom.2016.12.042 db/journals/ijon/ijon230.html#BodyanskiyVSPM17

Yevgeniy V. Bodyanskiy Olena Vynokurova Iryna Pliss Dmytro Peleshko Yuriy Rashkevych Deep Stacking Convex Neuro-Fuzzy System and Its On-line Learning. 49-59 2017 DepCoS-RELCOMEX https://doi.org/10.1007/978-3-319-59415-6_5 conf/depcos/2017 db/conf/depcos/depcos2017.html#BodyanskiyVPPR17 Galina Setlak Yevgeniy V. Bodyanskiy Iryna Pliss Olena Vynokurova Dmytro Peleshko Illya Kobylin Adaptive Fuzzy Clustering of Multivariate Short Time Series with Unevenly Distributed Observations Based on Matrix Neuro-Fuzzy Self-organizing Network. 308-315 2017 EUSFLAT/IWIFSGN (3) https://doi.org/10.1007/978-3-319-66827-7_28 conf/eusflat/2017-3 db/conf/eusflat/eusflat2017-3.html#SetlakBPVPK17 Yevgeniy V. Bodyanskiy Olena Vynokurova Iryna Pliss Dmytro Peleshko Yuriy Rashkevych Hybrid Generalized Additive Wavelet-Neuro-Fuzzy-System and Its Adaptive Learning. 51-61 2016 DepCoS-RELCOMEX https://doi.org/10.1007/978-3-319-39639-2_5 https://www.wikidata.org/entity/Q57499378 conf/depcos/2016 db/conf/depcos/depcos2016.html#BodyanskiyVPPR16 Yevgeniy V. Bodyanskiy Olena Vynokurova Iryna Pliss Galina Setlak Pavlo Mulesa Fast learning algorithm for deep evolving GMDH-SVM neural network in data stream mining tasks. 257-262 2016 DSMP https://doi.org/10.1109/DSMP.2016.7583555 https://www.wikidata.org/entity/Q57499375 conf/dsmp/2016 db/conf/dsmp/dsmp2016.html#BodyanskiyVPSM16 Yevgeniy V. Bodyanskiy Olena Vynokurova Zdzislaw Szymanski Illya Kobylin Oleg Kobylin Adaptive robust models for identification of nonstationary systems in data stream mining tasks. 263-268 2016 DSMP https://doi.org/10.1109/DSMP.2016.7583556 https://www.wikidata.org/entity/Q57499372 conf/dsmp/2016 db/conf/dsmp/dsmp2016.html#BodyanskiyVSKK16 Galina Setlak Yevgeniy V. Bodyanskiy Olena Vynokurova Iryna Pliss Deep Evolving GMDH-SVM-Neural Network and its Learning for Data Mining Tasks. 141-145 2016 FedCSIS https://doi.org/10.15439/2016F183 https://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=7733227 conf/fedcsis/2016 db/conf/fedcsis/fedcsis2016.html#SetlakBVP16

Yevgeniy V. Bodyanskiy Olena Vynokurova Volodymyr Savvo Tatiana Tverdokhlib Pavlo Mulesa Hybrid clustering-classification neural network in the medical diagnostics of reactive arthritis. 2016 abs/1610.07857 CoRR http://arxiv.org/abs/1610.07857 db/journals/corr/corr1610.html#BodyanskiyVSTM16

Yevgeniy V. Bodyanskiy Olena Vynokurova Galina Setlak Iryna Pliss Hybrid neuro-neo-fuzzy system and its adaptive learning algorithm. 111-114 2015 CSIT https://doi.org/10.1109/STC-CSIT.2015.7325445 https://www.wikidata.org/entity/Q57499386 conf/csit/2015 db/conf/csit/csit2015.html#BodyanskiyVSP15 Yevgeniy V. Bodyanskiy Galina Setlak Dmytro Peleshko Olena Vynokurova Hybrid generalized additive neuro-fuzzy system and its adaptive learning algorithms. 328-333 2015 IDAACS https://doi.org/10.1109/IDAACS.2015.7340753 https://www.wikidata.org/entity/Q57499385 conf/idaacs/2015 db/conf/idaacs/idaacs2015.html#BodyanskiySPV15

Yevgeniy V. Bodyanskiy Artem Dolotov Olena Vynokurova Evolving spiking wavelet-neuro-fuzzy self-learning system. 252-258 2014 14 Appl. Soft Comput. https://doi.org/10.1016/j.asoc.2013.05.020 https://www.wikidata.org/entity/Q57499396 db/journals/asc/asc14.html#BodyanskiyDV14

Yevgeniy V. Bodyanskiy Olena Vynokurova Hybrid adaptive wavelet-neuro-fuzzy system for chaotic time series identification. 170-179 2013 220 Inf. Sci. https://doi.org/10.1016/j.ins.2012.07.044 https://www.wikidata.org/entity/Q57499409 db/journals/isci/isci220.html#BodyanskiyV13

Yevgeniy V. Bodyanskiy Nataliya Lamonova Irina Pliss Olena Vynokurova An adaptive learning algorithm for a wavelet neural network. 235-240 2005 22 Expert Syst. J. Knowl. Eng. 5 https://doi.org/10.1111/j.1468-0394.2005.00314.x https://www.wikidata.org/entity/Q57499446 db/journals/es/es22.html#BodyanskiyLPV05

Sergii Babichev Yevgeniy V. Bodyanskiy Olena O. Boiko Oleksandr Bondarenko Yuriy Borzov Viktor Denysiuk Artem Dolotov Roman Hrudetskij Vadim Ilyasov Maksym Kapys Illya Kobylin Oleg Kobylin Andrii Kovalenko Nataliya Lamonova Yurii Lapchenko Iaroslav V. LytvynenkoIaroslav Lytvynenko Volodymyr Lytvynenko Pavlo Mulesa Semen Oskerko Dmytro Peleshko Marta Peleshko Iryna Perova Irina PlissIryna Pliss Oleksandr Povstianoi Svetlana Radetskaya Yuriy Rashkevych Volodymyr Savvo Vladislav Serzhantov Galina Setlak Serhii Shatilo Danylo Stukhliak Petro Stukhliak Danulo Stukhlyak Zdzislaw Szymanski Oleg Totosko Tatiana Tverdokhlib Alexander Vlasenko Nataliia Vlasenko Viktor Voloshyn Svetlana Vyshemyrskaya Waldemar Wójcik Polina Zhernova Danyl Zhytnyk