Deep Learning Methods Professors in Global

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Wouter Van Atteveldt
Vrije Universiteit Amsterdam Netherlands
deep learning
computational methods
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Federico Bocci
Radboud University Netherlands
deep learning
computational methods
machine learning
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Esra Suel
University of Zurich Switzerland
deep learning
computational methods
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Jingmin Huang
University of Southampton United Kingdom
deep learning
deep generative models
machine learning
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Xenia Miscouridou
Imperial College London United Kingdom
deep learning
deep generative models
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Ayman Gh.
Australian National University Australia
deep learning
machine learning algorithms
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Kin-choong Yow
University of Regina Canada
deep learning
deep reinforcement learning
machine 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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Mousumi Rizia
Australian National University Australia
deep learning
deep generative modelling
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Mohammad Yazdani-asrami
University of Glasgow United Kingdom
deep learning
big data techniques
machine learning
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Alice Richardson
Australian National University Australia
data mining methods
statistical methods for large datasets
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Rachel Bernhard
University of Oxford United Kingdom
computational methods
research methods
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Yee Teh
University of Oxford United Kingdom
deep learning
machine learning
large scale machine learning
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Hon Kwan
University of Windsor Canada
deep learning
machine learning
deep neural network design
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Samir Maity
Aalborg University Denmark
deep learning
machine learning
computational approaches
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Ashley Kiemen
Johns Hopkins University United States of America
deep learning
computational approaches
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Behrooz Vahedi Torghabeh
Aarhus University Denmark
deep learning
machine learning
quantitative methods
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Yoshua Bengio
University of Montreal Canada
deep learning
machine learning
statistical learning algorithms
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Ingemar André
Lund University Sweden
computational methods
high-throughput methods
experimental methods
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Yuehaw Khoo
University of Chicago United States of America
neural-network methods
tensor-network methods
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