Human Centered Machine Learning Professors in Global

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Yee Teh
University of Oxford United Kingdom
machine learning
large scale machine learning
deep learning
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Molei Tao
Georgia Institute of Technology United States of America
machine learning
probabilistic machine learning
deep learning theory
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Enrique Hortal Quesada
Maastricht University Netherlands
machine learning
deep learning
human-machine interaction
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Bernhard Kainz
Imperial College London United Kingdom
machine learning
deep learning
human-in-the-loop computing
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Navid Azizan
Massachusetts Institute of Technology United States of America
machine learning
scientific machine learning
trustworthy machine learning
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Sageev Oore
Dalhousie University Canada
machine learning
deep learning
human-computer interaction
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John Doe
University of Wisconsin–Madison United States of America
machine learning
deep learning
human-computer interaction
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Yiming Xiao
Concordia University Canada
machine learning
deep learning
human-computer interaction
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R. Alvarez
California Institute of Technology United States of America
machine learning
deep learning
statistical computational modeling
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Michael Alvarez
California Institute of Technology United States of America
machine learning
deep learning
statistical computational modeling
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Ferenc Huszár
University of Cambridge United Kingdom
machine learning
deep learning
bayesian machine learning
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Helene Thomsen
Aarhus University Denmark
machine learning
deep learning
prediction modeling
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Federico Bocci
Radboud University Netherlands
machine learning
deep learning
mathematical modeling
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Wei Hu
University of Michigan United States of America
machine learning
deep learning
theoretical foundations of machine learning
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Samir Maity
Aalborg University Denmark
machine learning
deep learning
predictive modeling
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John Doe
University of Wisconsin–Madison United States of America
machine learning
deep learning
predictive modeling
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Mogana Ganggayah
Monash University Australia
machine learning
deep learning
predictive modeling
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Ekta Vats
Uppsala University Sweden
machine learning
deep learning
human action recognition
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Tal Kachman
Radboud University Netherlands
machine learning
deep learning
financial machine learning
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Ben Zhao
University of Chicago United States of America
machine learning
data-centric models
human-computer interaction
computer algorithms
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Junyao Xie
University of Guelph Canada
machine learning
predictive modeling
physics-informed machine learning
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