Joel Ratsaby
About
Joel Ratsaby has authored 36 papers that have received a total of 174 indexed citations.
This includes 33 papers in Artificial Intelligence, 14 papers in Computational Theory and Mathematics and 6 papers in Computer Vision and Pattern Recognition. The topics of these papers are Machine Learning and Algorithms (25 papers), Algorithms and Data Compression (11 papers) and Machine Learning and Data Classification (11 papers). Joel Ratsaby is often cited by papers focused on Machine Learning and Algorithms (25 papers), Algorithms and Data Compression (11 papers) and Machine Learning and Data Classification (11 papers) and collaborates with scholars based in Israel, United Kingdom and France. Joel Ratsaby's co-authors include Martin Anthony, Vitaly Maiorov, Bernard Ycart, László Kovács and Joël Chaskalovic and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Communications in Nonlinear Science and Numerical Simulation and Journal of Computer and System Sciences
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