Multi Instance Learning Professors in Global

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Tamara Van Gog
Utrecht University Netherlands
learning
example-based learning
multimedia learning
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Mårten Björkman
KTH Royal Institute of Technology Sweden
perception learning
multi-view computer vision
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Anastasia Muliana
Texas A&M University United States of America
multi-scale analyses
multi-field problems
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Javad Pourmostafa Roshan Sharami
Tilburg University Netherlands
in-context learning
deep learning
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Nathaniel Bastian
Pennsylvania State University United States of America
multiple objective optimization
machine learning
deep learning
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Vincent Grenon
University of Sherbrooke Canada
hybrid learning models
digital learning
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Xiucai Ding
University of California, Davis United States of America
manifold learning
deep learning
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Nana Clemensen
Aarhus University Denmark
multilingual education
language learning
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Sofie Johansson
University of Gothenburg Sweden
multilingual education
language learning
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Anne Kultti
University of Gothenburg Sweden
multilingual education
language learning
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Lennart Svensson
Chalmers University of Technology Sweden
reinforcement learning
multi-target tracking
deep learning
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Olaf Schenk
Università della Svizzera italiana Switzerland
multicore algorithms
manycore algorithms
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Olaf Schenk
Università della Svizzera italiana Switzerland
multicore algorithms
manycore algorithms
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Matthieu Brinkhuis
Utrecht University Netherlands
learning technology
learning analytics
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Jalal Nouri
Stockholm University Sweden
mixed reality environments for learning
learning analytics
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Kilian Weinberger
Cornell University Netherlands
machine learning
metric learning
deep learning
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Eliane Segers
Radboud University Netherlands
learning technology
ict-based learning
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Chen Li
Aalborg University Denmark
multimodal analysis
deep learning
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Raktim Mondol
University of New South Wales Australia
multimodal analysis
deep learning
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Lopamudra Dey
Linköping University Sweden
supervised learning
deep learning
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Jonathon Hare
University of Southampton United Kingdom
representation learning
deep learning
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