Semi Supervised Learning Professors in Global

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Yuhong Guo
Carleton University Canada
semi-supervised learning
self-supervised learning
weakly supervised learning
unsupervised learning
federated learning
representation learning
few-shot learning
continual learning
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Yuhong Guo
Carleton University Canada
semi-supervised learning
self-supervised learning
weakly supervised learning
unsupervised learning
federated learning
representation learning
few-shot learning
continual learning
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Tamara Van Gog
Utrecht University Netherlands
self-regulated learning
multimedia learning
example-based learning
learning
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Pascal Poupart
University of Waterloo Canada
self-supervised learning
shot learning
federated learning
continual learning
meta learning
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Julie Willems
Monash University Australia
technology-enhanced learning
online learning
flexible learning
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Yuri Boykov
University of Waterloo Canada
semi-supervised learning
self-supervised learning
weakly supervised learning
unsupervised learning
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Raymond Mooney
University of Texas at Austin United States of America
semi-supervised learning
statistical relational learning
neuro-symbolic learning
transfer learning
ensemble learning
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Nathaly Verwaal
University of Calgary Canada
self-directed learning
team-based learning
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Fei Wang
Cornell University Netherlands
multi-modal learning
meta-learning
federated learning
transfer learning
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Fei Wang
Cornell University Netherlands
multi-modal learning
meta-learning
federated learning
transfer learning
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Nóra Szakács
University of Manchester United Kingdom
semigroup theory
geometric semigroup theory
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Linus Ericsson
University of Glasgow United Kingdom
multi-modal learning
representation learning
automated machine learning
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Sascha Schneider
University of Zurich Switzerland
social learning
meta-cognitive learning
cognitive learning
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Jan-willem Strijbos
University of Groningen Netherlands
computer-supported collaborative learning
technology-enhanced learning
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Zoltán Szabó
London School of Economics and Political Science United Kingdom
safety-critical learning
statistical machine learning
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Antoine Van Den Beemt
Eindhoven University of Technology Belgium
networked learning
transdisciplinary learning
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Bryon Aragam
University of Chicago Booth School of Business United States of America
statistical learning theory
statistical machine learning
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Lee-ann Ewing
Macquarie University Australia
remote learning
technology-enabled learning
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Gerhard Stoel
Radboud University Netherlands
self-regulative learning
learning instruction
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Yutong Wang
London School of Economics and Political Science United Kingdom
statistical learning theory
time series statistical learning
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Do Coyle
University of Edinburgh United Kingdom
technology-enhanced learning
shared learning spaces
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