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Prediction of Physical Load Level by Machine Learning Analysis of Heart Activity after Exercises


Dec 20, 2019
Peng Gang, Wei Zeng, Yuri Gordienko, Oleksandr Rokovyi, Oleg Alienin, Sergii Stirenko

* 6 pages, 8 figures, 3 tables; preprint of paper for 2019 IEEE Symposium Series on Computational Intelligence (SSCI), December 6-9 2019, Xiamen, China 

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


Dec 31, 2018
Yuriy Kochura, Yuri Gordienko, Vlad Taran, Nikita Gordienko, Alexandr Rokovyi, Oleg Alienin, Sergii Stirenko

* 10 pages, 7 figures, 2 tables 

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Impact of Ground Truth Annotation Quality on Performance of Semantic Image Segmentation of Traffic Conditions


Dec 30, 2018
Vlad Taran, Yuri Gordienko, Alexandr Rokovyi, Oleg Alienin, Sergii Stirenko

* 10 pages, 6 figures, 2 tables, The Second International Conference on Computer Science, Engineering and Education Applications (ICCSEEA2019) 26-27 January 2019, Kiev, Ukraine 

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Open Source Dataset and Machine Learning Techniques for Automatic Recognition of Historical Graffiti


Aug 31, 2018
Nikita Gordienko, Peng Gang, Yuri Gordienko, Wei Zeng, Oleg Alienin, Oleksandr Rokovyi, Sergii Stirenko

* 11 pages, 9 figures, accepted for 25th International Conference on Neural Information Processing (ICONIP 2018), 14-16 December, 2018 (Siem Reap, Cambodia) 

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Parallel Statistical and Machine Learning Methods for Estimation of Physical Load


Aug 14, 2018
Sergii Stirenko, Gang Peng, Wei Zeng, Yuri Gordienko, Oleg Alienin, Oleksandr Rokovyi, Nikita Gordienko

* 15 pages, 8 figures, accepted for 18th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP) 15-17 November, 2018 (Guangzhou, China) 

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


Jun 05, 2018
Vlad Taran, Nikita Gordienko, Yuriy Kochura, Yuri Gordienko, Alexandr Rokovyi, Oleg Alienin, Sergii Stirenko

* 8 pages, 10 figures; accepted for presentation at 19-th International Conference on Computer Systems and Technologies (CompSysTech'18) 13-14 September 2018, University of Ruse, Bulgaria 

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


Mar 03, 2018
Sergii Stirenko, Yuriy Kochura, Oleg Alienin, Oleksandr Rokovyi, Peng Gang, Wei Zeng, Yuri Gordienko

* 6 pages, 11 figures, 1 table 

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


Dec 30, 2017
Yuri Gordienko, Sergii Stirenko, Yuriy Kochura, Oleg Alienin, Michail Novotarskiy, Nikita Gordienko

* 12 pages, 10 figures, 1 table; presented at XXIX IUPAP Conference in Computational Physics (CCP2017) July 9-13, 2017, Paris, University Pierre et Marie Curie - Sorbonne (https://ccp2017.sciencesconf.org/program

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


Aug 29, 2017
Yuriy Kochura, Sergii Stirenko, Oleg Alienin, Michail Novotarskiy, Yuri Gordienko

* Advances in Intelligent Systems and Computing II. CSIT 2017. Advances in Intelligent Systems and Computing, vol 689, pp 243-256. Springer, Cham 
* 15 pages, 11 figures, 4 tables; this paper summarizes the activities which were started recently and described shortly in the previous conference presentations arXiv:1706.02248 and arXiv:1707.04940; it is accepted for Springer book series "Advances in Intelligent Systems and Computing" 

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


Jun 07, 2017
Yuriy Kochura, Sergii Stirenko, Anis Rojbi, Oleg Alienin, Michail Novotarskiy, Yuri Gordienko

* Proceedings of 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), 5-8 Sept. 2017, (Lviv, Ukraine), vol.1, pp. 373-376, IEEE 
* 4 pages, 6 figures, 4 tables; XIIth International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT 2017), Lviv, Ukraine 

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