Convolutional neural network based solar photovoltaic panel detection in satellite photos V Golovko, S Bezobrazov, A Kroshchanka, A Sachenko, M Komar, ... 2017 9th IEEE International Conference on Intelligent Data Acquisition and …, 2017 | 58 | 2017 |
A learning technique for deep belief neural networks V Golovko, A Kroshchanka, U Rubanau, S Jankowski Neural Networks and Artificial Intelligence: 8th International Conference …, 2014 | 51 | 2014 |
The nature of unsupervised learning in deep neural networks: A new understanding and novel approach V Golovko, A Kroshchanka, D Treadwell Optical memory and neural networks 25 (3), 127-141, 2016 | 43 | 2016 |
A new technique for restricted Boltzmann machine learning V Golovko, A Kroshchanka, V Turchenko, S Jankowski, D Treadwell 2015 IEEE 8th international conference on intelligent data acquisition and …, 2015 | 31 | 2015 |
Integration of artificial neural networks and knowledge bases VV Golenkov, VP Ivashenko, VV Taberko Ontology of designing 29, 366-386, 2018 | 29 | 2018 |
Development of solar panels detector V Golovko, A Kroshchanka, S Bezobrazov, A Sachenko, M Komar, ... 2018 International Scientific-Practical Conference Problems of …, 2018 | 27 | 2018 |
Neuro-symbolic artificial intelligence: application for control the quality of product labeling V Golovko, A Kroshchanka, M Kovalev, V Taberko, D Ivaniuk International Conference on Open Semantic Technologies for Intelligent …, 2020 | 13 | 2020 |
Convergence and integration of artificial neural networks with knowledge bases in next-generation intelligent computer systems M Kovalev, A Kroshchanka, V Golovko БГУИР, 2022 | 12 | 2022 |
A neural-symbolic approach to computer vision A Kroshchanka, V Golovko, E Mikhno, M Kovalev, V Zahariev, A Zagorskij International Conference on Open Semantic Technologies for Intelligent …, 2021 | 12 | 2021 |
Deep neural networks: Selected aspects of learning and application VA Golovko, AA Kroshchanka, EV Mikhno Pattern Recognition and Image Analysis 31, 132-143, 2021 | 12 | 2021 |
Интеграция искусственных нейронных сетей с базами знаний ВА Головко, ВВ Голенков, ВП Ивашенко, ВВ Таберко, ДС Шаток, ... Онтология проектирования 8 (3 (29)), 366-386, 2018 | 12 | 2018 |
Применение нейронных сетей глубокого доверия для выделения семантически значимых признаков АА Головко, В. А. Крощенко Открытые семантические технологии проектирования интеллектуальных систем …, 2015 | 12* | 2015 |
Principles of decision-making systems building based on the integration of neural networks and semantic models VA Golovko, A Kroshchanka, VP Ivashenko, M Kovalev, V Taberko, ... БГУИР, 2019 | 10 | 2019 |
Deep convolutional neural network for detection of solar panels V Golovko, A Kroshchanka, E Mikhno, M Komar, A Sachenko Data-Centric Business and Applications: ICT Systems-Theory, Radio …, 2020 | 9 | 2020 |
Brands and caps labeling recognition in images using deep learning V Golovko, A Kroshchanka, E Mikhno International Conference on Pattern Recognition and Information Processing …, 2019 | 6 | 2019 |
Theoretical notes on unsupervised learning in deep neural networks V Golovko, A Kroshchanka International Conference on Neural Computation Theory and Applications 3, 91-96, 2016 | 6 | 2016 |
Neural networks and artifical intelligence V Golovko, A Kroshchanka, U Rubanau, S Jankowski Communications in Computer and Information Science 440, 3-6, 2014 | 6 | 2014 |
Implementation of an intelligent decision support system to accompany the manufacturing process VA Golovko, AA Kroshchanka, MV Kovalev, VV Taberko, DS Ivaniuk БГУИР, 2020 | 5 | 2020 |
Deep convolutional neural network for recognizing the images of text documents V Golovko, A Kroshchanka, E Mikhno, S Bezobrazov, M Komar, ... CEUR Workshop Proceedings, 297-306, 2019 | 5 | 2019 |
The reduction of fully connected neural network parameters using the pre-training technique A Kroshchanka, V Golovko 2021 11th IEEE International Conference on Intelligent Data Acquisition and …, 2021 | 4 | 2021 |