460 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National Academy of Sciences of UkraineUA46 papers
- Bogolyubov Institute for Theoretical PhysicsUA36 papers
- Institute of PhysicsPL31 papers
- Taras Shevchenko National University of KyivUA21 papers
- Institute of MagnetismUA16 papers
- Institute for Information RecordingUA13 papers
- Clarkson UniversityUS12 papers
- FZU ‒ Institute of Physics of the Academy of Sciences of the Czech RepublicCZ12 papers
- Institute of MathematicsPL12 papers
- Frantsevich Institute for Problems in Materials ScienceUA11 papers
- Institute for Nuclear ResearchRU9 papers
- Johannes Gutenberg University MainzDE8 papers
4 papers · 2 filters
Deep Learning with Lung Segmentation and Bone Shadow Exclusion Techniques for Chest X-Ray Analysis of Lung Cancer
Yu. Gordienko, Peng Gang, Jiang Hui +5
The recent progress of computing, machine learning, and especially deep learning, for image recognition brings a meaningful effect for automatic detection of various diseases from…
Performance Analysis of Open Source Machine Learning Frameworks for Various Parameters in Single-Threaded and Multi-Threaded Modes
Yuriy Kochura, Sergii Stirenko, Oleg Alienin +2
The basic features of some of the most versatile and popular open source frameworks for machine learning (TensorFlow, Deep Learning4j, and H2O) are considered and compared. Their c…
Comparative Performance Analysis of Neural Networks Architectures on H2O Platform for Various Activation Functions
Yuriy Kochura, Sergii Stirenko, Yuri Gordienko
Deep learning (deep structured learning, hierarchi- cal learning or deep machine learning) is a branch of machine learning based on a set of algorithms that attempt to model high-…
Comparative Analysis of Open Source Frameworks for Machine Learning with Use Case in Single-Threaded and Multi-Threaded Modes
Yuriy Kochura, Sergii Stirenko, Anis Rojbi +3
The basic features of some of the most versatile and popular open source frameworks for machine learning (TensorFlow, Deep Learning4j, and H2O) are considered and compared. Their c…