Yuriy Kochura

According to our database, Yuriy Kochura authored at least 15 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Chapter Nine - "Last mile" optimization of edge computing ecosystem with deep learning models and specialized tensor processing architectures.

Yuri G. Gordienko, Yuriy Kochura, Vlad Taran, Nikita Gordienko, Oleksandr Rokovyi, Oleg Alienin, Sergii G. Stirenko

Adv. Comput., 2021

2019

Effect of Data Augmentation and Lung Mask Segmentation for Automated Chest Radiograph Interpretation of Some Lung Diseases.

Peng Gang, Wei Zeng, Yuri G. Gordienko, Yuriy Kochura, Oleg Alienin, Oleksandr Rokovyi, Sergii G. Stirenko

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

Batch Size Influence on Performance of Graphic and Tensor Processing Units during Training and Inference Phases.

Yuriy Kochura, Yuri G. Gordienko, Vlad Taran, Nikita Gordienko, Alexandr Rokovyi, Oleg Alienin, Sergii G. Stirenko

CoRR, 2018

Capsule Deep Neural Network for Recognition of Historical Graffiti Handwriting.

Nikita Gordienko, Yuriy Kochura, Vlad Taran, Peng Gang, Yuri G. Gordienko, Sergii G. Stirenko

CoRR, 2018

Chest X-Ray Analysis of Tuberculosis by Deep Learning with Segmentation and Augmentation.

Sergii G. Stirenko, Yuriy Kochura, Oleg Alienin, Oleksandr Rokovyi, Peng Gang, Wei Zeng, Yuri G. Gordienko

CoRR, 2018

Dimensionality Reduction in Deep Learning for Chest X-Ray Analysis of Lung Cancer.

Yuri G. Gordienko, Yuriy Kochura, Oleg Alienin, Oleksandr Rokovyi, Sergii G. Stirenko, Peng Gang, Jiang Hui, Wei Zeng

CoRR, 2018

Deep Learning for Fatigue Estimation on the Basis of Multimodal Human-Machine Interactions.

Yuri G. Gordienko, Sergii G. Stirenko, Yuriy Kochura, Oleg Alienin, Michail Novotarskiy, Nikita Gordienko

CoRR, 2018

Dimensionality reduction in deep learning for chest X-ray analysis of lung cancer.

Peng Gang, Zhen Wang, Wei Zeng, Yuri G. Gordienko, Yuriy Kochura, Oleg Alienin, Oleksandr Rokovyi, Sergii G. Stirenko

Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

Performance Evaluation of Deep Learning Networks for Semantic Segmentation of Traffic Stereo-Pair Images.

Vlad Taran, Nikita Gordienko, Yuriy Kochura, Yuri G. Gordienko, Alexandr Rokovyi, Oleg Alienin, Sergii G. Stirenko

Proceedings of the 19th International Conference on Computer Systems and Technologies, 2018

2017

Deep Learning with Lung Segmentation and Bone Shadow Exclusion Techniques for Chest X-Ray Analysis of Lung Cancer.

Yuri G. Gordienko, Peng Gang, Jiang Hui, Wei Zeng, Yuriy Kochura, Oleg Alienin, Oleksandr Rokovyi, Sergii G. Stirenko

CoRR, 2017

Performance Analysis of Open Source Machine Learning Frameworks for Various Parameters in Single-Threaded and Multi-Threaded Modes.

Yuriy Kochura, Sergii G. Stirenko, Oleg Alienin, Michail Novotarskiy, Yuri G. Gordienko

CoRR, 2017

User-driven Intelligent Interface on the Basis of Multimodal Augmented Reality and Brain-Computer Interaction for People with Functional Disabilities.

Sergii G. Stirenko, Yuri G. Gordienko, T. Shemsedinov, Oleg Alienin, Yuriy Kochura, Nikita Gordienko, Anis Rojbi, Jorge R. López Benito, E. Artetxe González

CoRR, 2017

Comparative Analysis of Open Source Frameworks for Machine Learning with Use Case in Single-Threaded and Multi-Threaded Modes.

Yuriy Kochura, Sergii G. Stirenko, Anis Rojbi, Oleg Alienin, Michail Novotarskiy, Yuri G. Gordienko

CoRR, 2017

Comparative Performance Analysis of Neural Networks Architectures on H2O Platform for Various Activation Functions.

Yuriy Kochura, Sergii G. Stirenko, Yuri G. Gordienko

CoRR, 2017

Comparative analysis of open source frameworks for machine learning with use case in single-threaded and multi-threaded modes.

Yuriy Kochura, Sergii G. Stirenko, Oleg Alienin, Michail Novotarskiy, Yuri G. Gordienko

Proceedings of the 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), Lviv, Ukraine, September 5-8, 2017, 2017