Temporal Machine Learning Professors in Global

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Flora Salim
University of New South Wales Australia
multimodal machine learning
trustworthy machine learning
spatio-temporal data
robust machine learning
behavioral modelling
time-series data
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David Clifton
University of Oxford United Kingdom
time-series analysis
clinical machine learning
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Katinka Van Der Kooij
Vrije Universiteit Amsterdam Netherlands
motor learning
human motor learning
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Eugene Poh Zhenyong
Macquarie University Australia
motor learning
computational modelling
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Di Niu
University of Alberta Canada
applied machine learning
statistical learning
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Xi Chen
New York University United States of America
applied machine learning
statistical learning
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Di Niu
University of Alberta Canada
applied machine learning
statistical learning
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Lu Lin
Pennsylvania State University United States of America
applied machine learning
trustworthy machine learning
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Jun Yu
Umeå University Sweden
statistical learning
spatiotemporal data
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Anthony Coache
Imperial College London United Kingdom
statistical learning
stochastic modeling
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Huan Lei
Michigan State University United States of America
scientific machine-learning
stochastic simulations
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Elizabeth Wonnacott
University of Oxford United Kingdom
statistical learning
computational modelling
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Christopher Musco
New York University Tandon School of Engineering United States of America
scalable machine learning
randomized algorithms
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Arpan Mukhopadhyay
University of Warwick United Kingdom
stochastic modeling
randomized algorithms
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Cassio De Campos
Eindhoven University of Technology Belgium
statistical learning
reliable machine learning
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Mert Sabuncu
Cornell University Netherlands
applied machine learning
probabilistic modeling
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Cees Diks
University of Amsterdam Netherlands
statistical learning
nonlinear time series analysis
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Stefan Kachel
University of Melbourne Australia
statistical learning
categorical learning
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Ali Dadras
Umeå University Sweden
statistical learning
spatio-temporal data
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Axel Flinth
Umeå University Sweden
machine learning
statistical learning
spatio-temporal data
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Hoomaan Maskan
Umeå University Sweden
statistical learning
spatio-temporal data
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