Human Guided Machine Learning Professors in Global

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Yisong Yue
California Institute of Technology United States of America
machine learning
structured machine learning
statistical machine learning
interactive machine learning
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Yee Teh
University of Oxford United Kingdom
machine learning
large scale machine learning
deep learning
probabilistic learning
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Molei Tao
Georgia Institute of Technology United States of America
machine learning
probabilistic machine learning
deep learning theory
dynamical systems machine learning
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Geoff Webb
Monash University Australia
machine learning
interactive machine learning
ensemble machine learning
bayesian machine learning
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Moez Ali
Queen's University Canada
machine learning
automated machine learning
automated modeling
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning
machine learning algorithms
machine learning theory
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Yisong Yue
California Institute of Technology United States of America
structured machine learning
statistical machine learning
interactive machine learning
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Hina Shaheen
University of Manitoba Canada
machine learning
statistical machine learning
computational modelling
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Hamid Alinejad-rokny
University of New South Wales Australia
machine learning
statistical machine learning
biomedical machine learning
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Nathaniel Bastian
Pennsylvania State University United States of America
machine learning
deep learning
federated machine learning
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Aboelmagd Noureldin
Queen's University Canada
machine vision
machine intelligence
deep learning
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Federico Bocci
Radboud University Netherlands
machine learning
deep learning
mathematical modeling
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Amir-hossein Karimi
University of Waterloo Canada
machine learning
human-machine collaboration
human-machine teaming
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Tal Kachman
Radboud University Netherlands
machine learning
deep learning
financial machine learning
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Honglak Lee
University of Michigan United States of America
machine learning
deep learning
large-scale learning
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Jingmin Huang
University of Southampton United Kingdom
machine learning
deep learning
deep generative models
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Benjamin Joffe
Georgia Institute of Technology United States of America
machine learning
deep learning
robot learning
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Oisin Mac Aodha
University of Edinburgh United Kingdom
machine learning
deep learning
machine teaching
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Kin-choong Yow
University of Regina Canada
machine learning
deep learning
pattern recognition
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Eranga Ukwatta
University of Guelph Canada
machine learning
deep learning
computational modeling
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Helene Thomsen
Aarhus University Denmark
machine learning
deep learning
prediction modeling
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