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Context Aware Machine Learning
Context Aware Machine Learning Professors in Global
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Professor
Kristen Grauman
University of Texas at Austin
United States of America
machine learning
deep learning
machine perception
interactive machine learning
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Professor
Saikat Chatterjee
Royal Institute of Technology
Sweden
statistical machine learning
deep learning
explainable machine learning
data inference
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Professor
Sophia Wilson
University of Copenhagen
Denmark
machine learning
resource efficient machine learning
data efficient machine learning
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Professor
Danica Sutherland
University of British Columbia
Canada
machine learning
statistical machine learning
theoretical machine learning
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Professor
Holger Hoos
RWTH Aachen University
Germany
machine learning
automated machine learning
automated reasoning
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Professor
Samy Bengio
École Polytechnique Fédérale de Lausanne
Switzerland
machine learning
statistical machine learning
deep learning
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Professor
Yisong Yue
California Institute of Technology
United States of America
machine learning
statistical machine learning
structured machine learning
interactive machine learning
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Professor
Alexandre Alahi
École Polytechnique Fédérale de Lausanne
Switzerland
machine learning
ambient intelligence
deep learning
socially-aware artificial intelligence
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Professor
Jessica Sorrell
Johns Hopkins University
United States of America
machine learning
machine learning algorithms
machine learning theory
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Professor
Geoff Webb
Monash University
Australia
machine learning
ensemble machine learning
interactive machine learning
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Professor
Yingzhen Li
Imperial College London
United Kingdom
machine learning
probabilistic machine learning
explainable machine learning
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Professor
Navid Azizan
Massachusetts Institute of Technology
United States of America
machine learning
scientific machine learning
trustworthy machine learning
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Professor
Kin-choong Yow
University of Regina
Canada
machine learning
deep learning
pattern recognition
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Professor
Anil Bharath
Imperial College London
United Kingdom
machine learning
deep learning
pattern recognition
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Professor
George Azzopardi
University of Groningen
Netherlands
machine learning
deep learning
pattern recognition
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Professor
Vishnu Boddeti
Michigan State University
United States of America
machine learning
deep learning
pattern recognition
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Professor
Thomas Fevens
Concordia University
Canada
machine learning
deep learning
pattern recognition
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Professor
Joshua Peeples
Texas A&M University
United States of America
machine learning
deep learning
pattern recognition
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Professor
Homay Danaei Mehr
Macquarie University
Australia
machine learning
deep learning
pattern recognition
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Professor
Pascal Vincent
University of Montreal
Canada
machine learning
deep learning
pattern recognition
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Professor
Divya Sharma
York University
Canada
machine learning
deep learning
pattern recognition
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