Deep Learning Applications Professors in Global

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Samuel Ajila
Carleton University Canada
deep learning
multi-modal learning applications
application data mining
machine learning
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Tom Jaksztat
University of Freiburg Germany
deep learning
virtual reality applications
augmented reality applications
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Hon Kwan
University of Windsor Canada
deep learning
deep neural network design
machine learning
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Kin-choong Yow
University of Regina Canada
deep learning
deep reinforcement learning
machine learning
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Dafna Sussman
Toronto Metropolitan University Canada
deep learning
machine learning
clinical applications
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Paulius Rauba
University of Cambridge United Kingdom
deep learning
machine learning
medical applications
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Krishna Swamy
Yale University United States of America
deep learning
geometric deep learning
machine learning
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Chi Liu
Yale University United States of America
deep learning
imaging applications
machine learning
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Onkar Jadhav
University of Western Australia Australia
deep learning
applied mathematics
machine learning
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Zhanxing Zhu
University of Southampton United Kingdom
deep learning
machine learning
biology applications
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Jingmin Huang
University of Southampton United Kingdom
deep learning
deep generative models
machine learning
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Utku Pamuksuz
University of Chicago United States of America
deep learning
applied mathematics
machine learning
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Smita Krishnaswamy
Yale University United States of America
deep learning
applied mathematics
machine learning
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Pawel Herman
KTH Royal Institute of Technology Sweden
deep architectures
statistical applications
machine learning
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Honglak Lee
University of Michigan United States of America
deep learning
machine learning
large-scale learning
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Vladimir Vlassov
KTH Royal Institute of Technology Sweden
applied artificial intelligence
scalable deep learning
machine learning
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Joseph Gonzalez
University of California, Berkeley United States of America
deep reinforcement learning
accelerated deep learning
machine learning
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Yarin Gal
University of Oxford United Kingdom
deep reinforcement learning
deep probabilistic ai
machine learning
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Yarin Gal
University of Oxford United Kingdom
deep reinforcement learning
deep probabilistic ai
machine learning
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Dejiu Chen
KTH Royal Institute of Technology Sweden
automotive applications
machine learning
medical applications
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Fredrik Gustafsson
Linköping University Sweden
audio applications
airborne applications
wildlife applications
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