Machine Intelligence Professors in Global

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Kin-choong Yow
University of Regina Canada
artificial intelligence
machine learning
artificial general intelligence
deep learning
pattern recognition
computer vision
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Yisong Yue
California Institute of Technology United States of America
artificial intelligence
machine learning
statistical machine learning
interactive machine learning
structured machine learning
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Tahereh Koohi
University of New South Wales Australia
artificial intelligence
machine learning
neural networks
deep learning
computer vision
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Pascal Vincent
University of Montreal Canada
artificial intelligence
machine learning
neural networks
deep learning
pattern recognition
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Risto Miikkulainen
University of Texas at Austin United States of America
artificial intelligence
machine learning
evolutionary intelligence
neural networks
computer vision
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Hugo Larochelle
University of Montreal Canada
artificial intelligence
machine learning
neural networks
deep learning
computer vision
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Mahdi Khodayar
The University of Tulsa Iran
No active positions
artificial intelligence
machine learning
statistical pattern recognition
deep neural networks
computer vision
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Naveed Akhtar
University of Western Australia Australia
artificial intelligence
machine learning
deep learning
computer vision
adversarial machine learning
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John Doe
University of Wisconsin–Madison United States of America
artificial intelligence
machine learning
deep learning
predictive modeling
computer vision
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Ke Chen
University of Manchester United Kingdom
machine learning
machine perception
artificial general intelligence
pattern recognition
computer vision
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Jingtao Yao
University of Regina Canada
artificial intelligence
machine learning
web intelligence
neural networks
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Juergen Schmidhuber
Università della Svizzera italiana Switzerland
artificial intelligence
machine learning
neural networks
deep learning
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John Doe
KU Leuven Belgium
artificial intelligence
machine learning
neural networks
deep learning
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John Doe
University of Wisconsin–Madison United States of America
artificial intelligence
machine learning
neural networks
deep learning
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Seyed Kia
Tilburg University Netherlands
artificial intelligence
machine learning
neural networks
deep learning
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Brokoslaw Laschowski
University of Toronto Canada
artificial intelligence
machine learning
neural networks
deep learning
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John Doe
KU Leuven Belgium
artificial intelligence
machine learning
neural networks
computer vision
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Christopher Pal
Université de Montréal Canada
artificial intelligence
machine learning
pattern recognition
computer vision
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Thomas Schön
Uppsala University Sweden
artificial intelligence
machine learning
deep learning
computer vision
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Mrigank Rochan
University of Saskatchewan Canada
artificial intelligence
machine learning
deep learning
computer vision
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John Doe
University of Wisconsin–Madison United States of America
artificial intelligence
machine learning
deep learning
computer vision
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