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职业迁徙
个人简介
François Fleuret got a PhD in Mathematics from INRIA and the University of Paris VI in 2000, and an Habilitation degree in Mathematics from the University of Paris XIII in 2006.
He is Full Professor in the department of Computer Science at the University of Geneva, and Adjunct Professor in the School of Engineering of the École Polytechnique Fédérale de Lausanne. He has published more than 80 papers in peer-reviewed international conferences and journals.
He is Associate Editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence, serves as Area Chair for NeurIPS, AAAI, and ICCV, and in the program committee of many top-tier international conferences in machine learning and computer vision. He is member of the Electrical Engineering Doctoral Program Committee at EPFL, and was or is expert for multiple funding agencies.
He is the inventor of several patents in the field of machine learning, and co-founder of Neural Concept SA, a company specializing in the development and commercialization of deep learning solutions for engineering design.
His main research interest is machine learning, with a particular focus on computational aspects and small sample learning.
He is Full Professor in the department of Computer Science at the University of Geneva, and Adjunct Professor in the School of Engineering of the École Polytechnique Fédérale de Lausanne. He has published more than 80 papers in peer-reviewed international conferences and journals.
He is Associate Editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence, serves as Area Chair for NeurIPS, AAAI, and ICCV, and in the program committee of many top-tier international conferences in machine learning and computer vision. He is member of the Electrical Engineering Doctoral Program Committee at EPFL, and was or is expert for multiple funding agencies.
He is the inventor of several patents in the field of machine learning, and co-founder of Neural Concept SA, a company specializing in the development and commercialization of deep learning solutions for engineering design.
His main research interest is machine learning, with a particular focus on computational aspects and small sample learning.
研究兴趣
论文共 67 篇作者统计合作学者相似作者
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引用量
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期刊级别
合作者
合作机构
arXiv (Cornell University) (2022)
ArXiv (2022)
Anssi Kanervisto,Stephanie Milani,Karolis Ramanauskas,Nicholay Topin,Zichuan Lin,Junyou Li,Jianing Shi,Deheng Ye,Qiang Fu,Wei Yang,Weijun Hong,Zhongyue Huang,Haicheng Chen,Guangjun Zeng,Yue Lin,Vincent Micheli,Eloi Alonso,François Fleuret,Alexander Nikulin,Yury Belousov,Oleg Svidchenko,Aleksei Shpilman
arXiv (Cornell University) (2022): 13-28
Lecture Notes in Computer Sciencepp.603-619, (2021)
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作者统计
#Papers: 66
#Citation: 6462
H-Index: 25
G-Index: 49
Sociability: 5
Diversity: 2
Activity: 6
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