Machine Learning Aided Analysis Professors in Global

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Qinian Jin
Australian National University Australia
numerical analysis
geometric analysis
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Longxiu Huang
Michigan State University United States of America
machine learning
random tensor analysis
random matrix analysis
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Hun-seok Kim
University of Michigan United States of America
machine learning systems
system analysis
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Franc Donkers
Maastricht University Netherlands
network analysis
time-frequency analysis
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Philip Verhagen
Vrije Universiteit Amsterdam Netherlands
network analysis
spatial analysis modeling
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Johann Laux
University of Oxford United Kingdom
automated decision-making
inferential analytics
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Leah Chibwe
University of Regina Canada
effect-directed analysis
non-targeted analysis
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Nikolay Malkin
University of Edinburgh United Kingdom
machine reasoning
bayesian machine learning
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Dick Van Dijk
Erasmus University Rotterdam Netherlands
high-frequency data analysis
non-linear time series analysis
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Stelian Coros
ETH Zurich Switzerland
machine learning for robotics
computer-assisted robotics
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Måns Magnusson
Uppsala University Sweden
textual analysis
probabilistic machine learning
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Susie Rao
ETH Zurich Switzerland
pattern mining
multimodal machine learning
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Geoff Webb
Monash University Australia
machine learning
bayesian machine learning
ensemble machine learning
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Mor Harchol-balter
Carnegie Mellon University United States of America
performance analysis
analytical models
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Laura Bringmann
University of Groningen Netherlands
time series analyses
network analyses
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Tania Prvan
Macquarie University Australia
regression analysis
applied statistical modeling
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Karen Uhlenbeck
University of Texas at Austin United States of America
non-linear analysis
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Jianhong Wu
York University Canada
non-linear analysis
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Anders Bæk-petersen
University of Southern Denmark Denmark
machine learning
automated decision making
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Mariana Gustafsson
Linköping University Sweden
automated decision making
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Leigh Vanhandel
University of British Columbia Canada
computer-assisted research
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