Deep Learning Approaches To Complex Media Professors in Global

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Samir Maity
Aalborg University Denmark
deep learning
computational approaches
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Ashley Kiemen
Johns Hopkins University United States of America
deep learning
computational approaches
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Chaoyue Liu
Purdue University United States of America
deep learning
deep learning theory
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Jingmin Huang
University of Southampton United Kingdom
deep learning
deep generative models
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Xenia Miscouridou
Imperial College London United Kingdom
deep learning
deep generative models
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Hai Shu
New York University United States of America
deep learning
high-dimensional data analysis
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Kin-choong Yow
University of Regina Canada
deep learning
deep reinforcement learning
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Kevin Luck
Vrije Universiteit Amsterdam Netherlands
deep learning
deep reinforcement learning
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Nina Taherimakhsousi
University of Victoria Canada
deep learning
deep reinforcement learning
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Patryk Rygiel
University of Twente Netherlands
deep learning
geometric deep learning
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Christoph Brune
University of Twente Netherlands
deep learning
geometric deep learning
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Anastasios Kratsios
University of Toronto Canada
deep learning
geometric deep learning
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Krishna Swamy
Yale University United States of America
deep learning
geometric deep learning
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Rasmus Paulsen
Technical University of Denmark Denmark
deep reinforcement learning
geometric deep learning
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Muhammad Sahimi
University of Southern California United States of America
deep learning approaches to complex media
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Muhammad Sahimi
University of Southern California United States of America
deep learning approaches to complex media
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Habib Zaidi
University of Geneva Switzerland
deep learning-based approaches in medical image analysis
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Magnus Båth
University of Gothenburg Sweden
deep learning techniques
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Michela Antonelli
King's College London United Kingdom
deep learning techniques
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Tom Mackay
University of Edinburgh United Kingdom
complex mediums
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Tobias Dorszewski
Technical University of Denmark Denmark
audiovisual deep learning
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