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Mikhno Egor (Михно Егор Владимирович)
Mikhno Egor (Михно Егор Владимирович)
Other namesЕВ Михно, Mikhno E
Брестский государственный технический университет (Brest State Technical University).
Verified email at bstu.by - Homepage
Title
Cited by
Cited by
Year
A shallow convolutional neural network for accurate handwritten digits classification
V Golovko, M Egor, A Brich, A Sachenko
Pattern Recognition and Information Processing: 13th International …, 2017
242017
Deep multilayer neural network for predicting the winner of football matches
S Anfilets, S Bezobrazov, V Golovko, A Sachenko, M Komar, R Dolny, ...
International Journal of Computing 19 (1), 70-77, 2020
192020
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
112021
Deep neural networks: Selected aspects of learning and application
VA Golovko, AA Kroshchanka, EV Mikhno
Pattern Recognition and Image Analysis 31, 132-143, 2021
112021
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
82020
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
62019
A simple shallow convolutional neural network for accurate handwritten digit classification
V Golovko, E Mikhno, A Brichk
Minsk: Publishing Center of BSU, 2016
62016
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
52019
Редуцированная сверточная нейронная сеть для точного распознавания рукописных цифр
ВА Головко, ЕВ Михно, АЛ Брич, АЛ Михняев, ЛЮ Войцехович, ...
БрГТУ, 2016
52016
Adaptive Learning Rate for Unsupervised Learning of Deep Neural Networks
V Golovko, E Mikhno, A Kroschanka, M Chodyka, P Lichograj
2023 International Joint Conference on Neural Networks (IJCNN), 1-6, 2023
22023
Deep convolutional neural network for recognizing the images of text documents/CEUR-WS
V Golovko, A Kroshchanka, E Mikhno, M Komar, A Sachenko, ...
22019
Нейросетевые модели детекции товаров на изображении
ВА Головко, АА Крощенко, ЕВ Михно, ОЮ Войцехович
БрГТУ, 2018
22018
Сверточная нейронная сеть для распознавания образов
ЕВ Михно
БГУИР, 2016
22016
Адаптивный шаг обучения для неконтролируемого обучения глубоких нейронных сетей
ВА Головко, АА Крощенко, ЕВ Михно, АМ Соловчук
БГУ, 2022
12022
Neural Network Approach for Estimating the Level and Volume of Liquid in Transparent Containers
V Golovko, E Mikhno, A Mamyha
UIIP NASB, 2021
12021
Глубокое обучение для детектирования объектов на изображениях документов
АА Крощенко, ВА Головко, СВ Безобразов, ЕВ Михно, МВ Хацкевич, ...
БрГТУ, 2017
12017
An analytical approach for unsupervised learning rate estimation using Rectified Linear Units
C Chen, V Golovko, A Kroshchanka, E Mikhno, M Chodyka, P Lichograj
Frontiers in Neuroscience 18, 1362510, 2024
2024
A Neural-Symbolic Approach to Computer Vision
V Golovko, E Mikhno
Open Semantic Technologies for Intelligent Systems: 11th International …, 2022
2022
Семантический анализ видео-потока на основании нейро-символического искусственного интеллекта
AA Kroshchanka, E Mikhno, MV Kovalev, VA Zahariev, AG Zagorskij
2021
Semantic analysis of the video stream based on neuro-symbolic artificial intelligence
AA Kroshchanka, E Mikhno, MV Kovalev, VA Zahariev, AG Zagorskij
БГУИР, 2021
2021
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