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ORCIDDmytro Peleshko
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2020 – today
- 2020
[c24]Vasyl Lytvyn, Alina Dmytriv, Andriy Berko, Vladislav Alieksieiev, Taras Basyuk, Jörg Rainer Noennig, Dmytro Peleshko, Taras Rak, Viktor Voloshyn:
Conceptual Model of Information System for Drone Monitoring of Trees' Condition. COLINS 2020: 695-714- [c23]Olena Vynokurova, Dmytro Peleshko, Oleksandr Bondarenko, Vadim Ilyasov, Vladislav Serzhantov, Marta Peleshko:
Hybrid Machine Learning System for Solving Fraud Detection Tasks. DSMP 2020: 1-5 - [c22]Olena Vynokurova
, Dmytro Peleshko, Marta Peleshko:
Hybrid Deep Convolutional Neural Network with Multimodal Fusion. DSMP (Selected Papers) 2020: 62-78 - [c21]Alexander Vlasenko, Yuriy Rashkevych, Nataliia Vlasenko, Dmytro Peleshko, Olena Vynokurova:
A Hybrid EMD - Neuro-Fuzzy Model for Financial Time Series Analysis. DSMP 2020: 112-115 - [c20]Olena Vynokurova, Dmytro Peleshko:
Hybrid Multidimensional Deep Convolutional Neural Network for Multimodal Fusion. DSMP 2020: 131-135 - [c19]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. DSMP (Selected Papers) 2020: 140-149 - [c18]Olena Vynokurova, Dmytro Peleshko, Polina Zhernova, Iryna Perova, Andrii Kovalenko:
Solving Fraud Detection Tasks Based on Wavelet-Neuro Autoencoder. ISDMCI 2020: 535-546 - [c17]Dmytro Peleshko, Taras Rak, Jörg Rainer Noennig, Vasyl Lytvyn, Victoria Vysotska:
Drone Monitoring System DROMOS of Urban Environmental Dynamics. ITPM 2020: 178-193 - [e1]Sergii Babichev, Dmytro Peleshko, Olena Vynokurova:
Data Stream Mining & Processing - Third International Conference, DSMP 2020, Lviv, Ukraine, August 21-25, 2020, Selected Papers. Communications in Computer and Information Science 1158, Springer 2020, ISBN 978-3-030-61655-7 [contents]
2010 – 2019
- 2019
- [j3]Alexander Vlasenko, Nataliia Vlasenko, Olena Vynokurova, Yevgeniy V. Bodyanskiy, Dmytro Peleshko:
A Novel Ensemble Neuro-Fuzzy Model for Financial Time Series Forecasting. Data 4(3): 126 (2019) - [c16]Vasyl Lytvyn, Agnieszka Kowalska-Styczen, Dmytro Peleshko, Taras Rak, Viktor Voloshyn, Jörg Rainer Noennig, Victoria Vysotska, Lesia Nykolyshyn, Hanna Pryshchepa:
Aviation Aircraft Planning System Project Development. CSIT 2019: 315-348 - [c15]Antonii Rzheuskyi, Orest Kutyuk, Orysia Voloshyn, Agnieszka Kowalska-Styczen, Viktor Voloshyn, Lyubomyr Chyrun, Sofia Chyrun, Dmytro Peleshko, Taras Rak:
The Intellectual System Development of Distant Competencies Analyzing for IT Recruitment. CSIT 2019: 696-720 - 2018
- [j2]Alexander Vlasenko, Nataliia Vlasenko, Olena Vynokurova, Dmytro Peleshko:
A Novel Neuro-Fuzzy Model for Multivariate Time-Series Prediction. Data 3(4): 62 (2018) - [c14]Yevgeniy V. Bodyanskiy, Artem Dolotov, Dmytro Peleshko, Yuriy Rashkevych, Olena Vynokurova:
Associative Probabilistic Neuro-Fuzzy System for Data Classification Under Short Training Set Conditions. DepCoS-RELCOMEX 2018: 56-63 - [c13]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. DSMP 2018: 113-118 - [c12]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. DSMP 2018: 305-309 - [c11]Dmytro Peleshko, Oleksii Maksymiv, Taras Rak, Orysia Voloshyn, Bohdan Morklyanyk:
Core Generator of Hypotheses for Real-Time Flame Detecting. DSMP 2018: 455-458 - 2017
- [j1]Yevgeniy V. Bodyanskiy, Olena Vynokurova, Galina Setlak, Dmytro Peleshko, Pavlo Mulesa:
Adaptive multivariate hybrid neuro-fuzzy system and its on-board fast learning. Neurocomputing 230: 409-416 (2017) - [c10]Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Dmytro Peleshko, Yuriy Rashkevych:
Deep Stacking Convex Neuro-Fuzzy System and Its On-line Learning. DepCoS-RELCOMEX 2017: 49-59 - [c9]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. EUSFLAT/IWIFSGN (3) 2017: 308-315 - 2016
- [c8]Yevgeniy V. Bodyanskiy, Olena Vynokurova, Iryna Pliss, Dmytro Peleshko, Yuriy Rashkevych:
Hybrid Generalized Additive Wavelet-Neuro-Fuzzy-System and Its Adaptive Learning. DepCoS-RELCOMEX 2016: 51-61 - [c7]Dmytro Peleshko, Yuriy Ivanov, Boris Sharov, Ivan Izonin, Yuriy Borzov:
Design and implementation of visitors queue density analysis and registration method for retail videosurveillance purposes. DSMP 2016: 159-162 - [c6]Yuriy Rashkevych, Dmytro Peleshko, Yuriy Ivanov, Igor Malets, Viktor Voloshyn:
Tracking in the intersection areas of the cameras fields-of-view of CCTV monitoring distributed systems. DSMP 2016: 163-168 - [c5]Dmytro Peleshko, Taras Rak, Marta Peleshko, Ivan Izonin, Danylo Batyuk:
Two-frames image superresolution based on the aggregate divergence matrix. DSMP 2016: 235-238 - 2015
- [c4]Yuriy Ivanov, Dmytro Peleshko, Yuriy Rashkevych, Zdzislaw Szymanski:
Morphological processing of videostream frames binary masks. CSIT 2015: 22-24 - [c3]Ivan Izonin, Roman Tkachenko, Dmytro Peleshko, Taras Rak, Danylo Batyuk:
Learning-based image super-resolution using weight coefficients of synaptic connections. CSIT 2015: 25-29 - [c2]Yevgeniy V. Bodyanskiy, Galina Setlak, Dmytro Peleshko, Olena Vynokurova:
Hybrid generalized additive neuro-fuzzy system and its adaptive learning algorithms. IDAACS 2015: 328-333 - 2014
- [c1]Dmytro Peleshko, Mariya Rashkevych, Andriy Klyuvak, Yuriy Ivanov:
Partial Blur: Model, Detection, Deblurring. DepCoS-RELCOMEX 2014: 355-362
Coauthor Index
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