Sequence Learning Professors in Global

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Tamara Van Gog
Utrecht University Netherlands
learning
example-based learning
self-regulated learning
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Floor Claessens
University of Copenhagen Denmark
shotgun sequencing
massive parallel sequencing
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Michael Mack
University of Toronto Canada
human memory learning
category learning
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Qingyun Wu
Pennsylvania State University United States of America
reinforcement learning
learning
automated machine learning
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Johanna Van Schaik
Radboud University Netherlands
learning
inquiry learning
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Lone Hersted
Aalborg University Denmark
action learning
learning processes
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Hayden Schaeffer
University of California Los Angeles United States of America
operator learning
scientific machine learning
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Jakob Zech
Heidelberg University Germany
operator learning
scientific machine learning
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Anna Schapiro
University of Pennsylvania United States of America
learning
neural network modeling
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Sham Kakade
Harvard University United States of America
learning
large-scale learning systems
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Mayank Mehta
University of California Los Angeles United States of America
learning
neural encoding
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Tim Steininger
Albert-Ludwigs-Universität Freiburg Germany
learning theories
example-based learning
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C. Green
University of Wisconsin–Madison United States of America
human learning
motor learning
depth learning
perceptual learning
cognitive learning
transfer learning
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Mahdi Khodayar
The University of Tulsa Iran
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machine learning
statistical pattern recognition
deep neural networks
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Huan Lei
Michigan State University United States of America
stochastic simulations
scientific machine-learning
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Jennifer Howell
University of Western Australia Australia
augmented learning
virtual learning
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Jun Wu
Michigan State University United States of America
graph learning
transfer learning
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Marko Boon
Eindhoven University of Technology Belgium
stochastic queueing models
stochastic simulation
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Morten Høyer
Technical University of Denmark Denmark
blended learning
learning analytics
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Rianne Van Lambalgen
Utrecht University Netherlands
blended learning
learning analytics
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Uwe Matzat
Eindhoven University of Technology Belgium
blended learning
learning analytics
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