Benoît Frénay
About
Benoît Frénay has authored 56 papers that have received a total of 1.5k indexed citations.
This includes 45 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. The topics of these papers are Neural Networks and Applications (12 papers), Machine Learning and Data Classification (10 papers) and Face and Expression Recognition (9 papers). Benoît Frénay is often cited by papers focused on Neural Networks and Applications (12 papers), Machine Learning and Data Classification (10 papers) and Face and Expression Recognition (9 papers) and collaborates with scholars based in Belgium, Germany and The Netherlands. Benoît Frénay's co-authors include Michel Verleysen, Adrien Bibal, Gauthier Doquire, Ata Kabán and Anthony Simonofski and has published in prestigious journals such as Pattern Recognition, ACM Computing Surveys and IEEE Transactions on Cybernetics
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