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Oleksandr Rokovyi
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2020 – today
- 2023
- [c13]Nikita Gordienko, Yuri G. Gordienko, Oleksandr Rokovyi, Oleg Alienin, Andrii Polukhin, Sergii G. Stirenko:
Impact of Mixed Multimodalities and Size Dependence on Performance of Object Detection on Multimodal Satellite Imagery*. IEEE Big Data 2023: 2157-2162 - [c12]Andrii Polukhin, Yuri G. Gordienko, Mairo Leier, Gert Jervan, Oleksandr Rokovyi, Oleg Alienin, Sergii G. Stirenko:
Edge Intelligence Resource Consumption by UAV-based IR Object Detection. UAVM 2023: 57-61 - 2022
- [c11]Nikita Gordienko, Oleksandr Rokovyi, Yuri G. Gordienko, Sergii G. Stirenko:
Hybrid Convolutional, Recurrent and Attention-Based Architectures of Deep Neural Networks for Classification of Human-Computer Interaction by Electroencephalography. HCI (44) 2022: 453-468 - [c10]Yuri G. Gordienko, Oleksandr Rokovyi, Oleg Alienin, Sergii G. Stirenko:
Context-Aware Data Augmentation for Efficient Object Detection by UAV Surveillance. ISDFS 2022: 1-6 - [c9]Kostiantyn Kostiukevych, Yuri G. Gordienko, Nikita Gordienko, Oleksandr Rokovyi, Sergii G. Stirenko:
Hierarchy of Hybrid Deep Neural Networks for Physical Action Classification by Brain-Computer Interface. MoMLeT+DS 2022: 109-122 - 2021
- [j1]Yuri G. Gordienko, Yuriy Kochura, Vlad Taran, Nikita Gordienko, Oleksandr Rokovyi, Oleg Alienin, Sergii G. Stirenko:
Chapter Nine - "Last mile" optimization of edge computing ecosystem with deep learning models and specialized tensor processing architectures. Adv. Comput. 122: 303-341 (2021) - [c8]Yevhenii Trochun, Sergii G. Stirenko, Oleksandr Rokovyi, Oleg Alienin, Evgen Pavlov, Yuri G. Gordienko:
Hybrid Classic-Quantum Neural Networks for Image Classification. IDAACS 2021: 968-972 - [c7]Kostiantyn Kostiukevych, Sergii G. Stirenko, Nikita Gordienko, Oleksandr Rokovyi, Oleg Alienin, Yuri G. Gordienko:
Convolutional and Recurrent Neural Networks for Physical Action Forecasting by Brain-Computer Interface. IDAACS 2021: 973-978
2010 – 2019
- 2019
- [c6]Peng Gang, Wei Zeng, Yuri G. Gordienko, Yuriy Kochura, Oleg Alienin, Oleksandr Rokovyi, Sergii G. Stirenko:
Effect of Data Augmentation and Lung Mask Segmentation for Automated Chest Radiograph Interpretation of Some Lung Diseases. ICONIP (4) 2019: 333-340 - [c5]Peng Gang, Wei Zeng, Yuri G. Gordienko, Oleksandr Rokovyi, Oleg Alienin, Sergii G. Stirenko:
Prediction of Physical Load Level by Machine Learning Analysis of Heart Activity after Exercises. SSCI 2019: 557-562 - [i9]Vlad Taran, Yuri G. Gordienko, Alexandr Rokovyi, Oleg Alienin, Sergii G. Stirenko:
Impact of Ground Truth Annotation Quality on Performance of Semantic Image Segmentation of Traffic Conditions. CoRR abs/1901.00001 (2019) - [i8]Peng Gang, Wei Zeng, Yuri G. Gordienko, Oleksandr Rokovyi, Oleg Alienin, Sergii G. Stirenko:
Prediction of Physical Load Level by Machine Learning Analysis of Heart Activity after Exercises. CoRR abs/1912.09848 (2019) - 2018
- [c4]Vlad Taran, Nikita Gordienko, Yuriy Kochura, Yuri G. Gordienko, Alexandr Rokovyi, Oleg Alienin, Sergii G. Stirenko:
Performance Evaluation of Deep Learning Networks for Semantic Segmentation of Traffic Stereo-Pair Images. CompSysTech 2018: 73-80 - [c3]Sergii G. Stirenko, Peng Gang, Wei Zeng, Yuri G. Gordienko, Oleg Alienin, Oleksandr Rokovyi, Nikita Gordienko, Ivan Pavliuchenko, Anis Rojbi:
Parallel Statistical and Machine Learning Methods for Estimation of Physical Load. ICA3PP (1) 2018: 483-497 - [c2]Peng Gang, Zhen Wang, Wei Zeng, Yuri G. Gordienko, Yuriy Kochura, Oleg Alienin, Oleksandr Rokovyi, Sergii G. Stirenko:
Dimensionality reduction in deep learning for chest X-ray analysis of lung cancer. ICACI 2018: 878-883 - [c1]Nikita Gordienko, Peng Gang, Yuri G. Gordienko, Wei Zeng, Oleg Alienin, Oleksandr Rokovyi, Sergii G. Stirenko:
Open Source Dataset and Machine Learning Techniques for Automatic Recognition of Historical Graffiti. ICONIP (5) 2018: 414-424 - [i7]Yuri G. Gordienko, Yuriy Kochura, Oleg Alienin, Oleksandr Rokovyi, Sergii G. Stirenko, Peng Gang, Jiang Hui, Wei Zeng:
Dimensionality Reduction in Deep Learning for Chest X-Ray Analysis of Lung Cancer. CoRR abs/1801.06495 (2018) - [i6]Sergii G. Stirenko, Yuriy Kochura, Oleg Alienin, Oleksandr Rokovyi, Peng Gang, Wei Zeng, Yuri G. Gordienko:
Chest X-Ray Analysis of Tuberculosis by Deep Learning with Segmentation and Augmentation. CoRR abs/1803.01199 (2018) - [i5]Vlad Taran, Nikita Gordienko, Yuriy Kochura, Yuri G. Gordienko, Oleksandr Rokovyi, Oleg Alienin, Sergii G. Stirenko:
Performance Evaluation of Deep Learning Networks for Semantic Segmentation of Traffic Stereo-Pair Images. CoRR abs/1806.01896 (2018) - [i4]Sergii G. Stirenko, Peng Gang, Wei Zeng, Yuri G. Gordienko, Oleg Alienin, Oleksandr Rokovyi, Nikita Gordienko:
Parallel Statistical and Machine Learning Methods for Estimation of Physical Load. CoRR abs/1808.04760 (2018) - [i3]Nikita Gordienko, Peng Gang, Yuri G. Gordienko, Wei Zeng, Oleg Alienin, Oleksandr Rokovyi, Sergii G. Stirenko:
Open Source Dataset and Machine Learning Techniques for Automatic Recognition of Historical Graffiti. CoRR abs/1808.10862 (2018) - [i2]Yuriy Kochura, Yuri G. Gordienko, Vlad Taran, Nikita Gordienko, Alexandr Rokovyi, Oleg Alienin, Sergii G. Stirenko:
Batch Size Influence on Performance of Graphic and Tensor Processing Units during Training and Inference Phases. CoRR abs/1812.11731 (2018) - 2017
- [i1]Yuri G. Gordienko, Peng Gang, Jiang Hui, Wei Zeng, Yuriy Kochura, Oleg Alienin, Oleksandr Rokovyi, Sergii G. Stirenko:
Deep Learning with Lung Segmentation and Bone Shadow Exclusion Techniques for Chest X-Ray Analysis of Lung Cancer. CoRR abs/1712.07632 (2017)
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