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

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

7 June 2017
Yuriy Kochura
S. Stirenko
A. Rojbi
Oleg Alienin
Michail Novotarskiy
Yuri G. Gordienko
    VLM
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Papers citing "Comparative Analysis of Open Source Frameworks for Machine Learning with Use Case in Single-Threaded and Multi-Threaded Modes"

4 / 4 papers shown
Title
An Empirical Study towards Characterizing Deep Learning Development and
  Deployment across Different Frameworks and Platforms
An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms
Qianyu Guo
Sen Chen
Xiaofei Xie
Lei Ma
Q. Hu
Hongtao Liu
Yang Liu
Jianjun Zhao
Xiaohong Li
35
122
0
15 Sep 2019
Chest X-Ray Analysis of Tuberculosis by Deep Learning with Segmentation
  and Augmentation
Chest X-Ray Analysis of Tuberculosis by Deep Learning with Segmentation and Augmentation
S. Stirenko
Yuriy Kochura
Oleg Alienin
Oleksandr Rokovyi
Peng Gang
Wei Zeng
Yuri G. Gordienko
24
115
0
03 Mar 2018
Deep Learning for Fatigue Estimation on the Basis of Multimodal
  Human-Machine Interactions
Deep Learning for Fatigue Estimation on the Basis of Multimodal Human-Machine Interactions
Yuri G. Gordienko
S. Stirenko
Yuriy Kochura
Oleg Alienin
Michail Novotarskiy
N. Gordienko
33
22
0
30 Dec 2017
Performance Analysis of Open Source Machine Learning Frameworks for
  Various Parameters in Single-Threaded and Multi-Threaded Modes
Performance Analysis of Open Source Machine Learning Frameworks for Various Parameters in Single-Threaded and Multi-Threaded Modes
Yuriy Kochura
S. Stirenko
Oleg Alienin
Michail Novotarskiy
Yuri G. Gordienko
VLM
28
25
0
29 Aug 2017
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