Context Aware Machine Learning Professors in Global

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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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Alexandre Alahi
École Polytechnique Fédérale de Lausanne Switzerland
machine learning
ambient intelligence
deep learning
socially-aware artificial intelligence
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Kristen Grauman
University of Texas at Austin United States of America
machine learning
deep learning
machine perception
interactive machine learning
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Saikat Chatterjee
Royal Institute of Technology Sweden
statistical machine learning
deep learning
explainable machine learning
data inference
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Craig Gelowitz
University of Regina Canada
contextually aware software
machine learning
deep learning
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Glaucia Melo Dos Santos
Toronto Metropolitan University Canada
context-aware computing
contextual llms
adaptive ai
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Sophia Wilson
University of Copenhagen Denmark
machine learning
resource efficient machine learning
data efficient machine learning
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Holger Hoos
RWTH Aachen University Germany
machine learning
automated machine learning
automated reasoning
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Danica Sutherland
University of British Columbia Canada
machine learning
statistical machine learning
theoretical machine learning
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning
machine learning algorithms
machine learning theory
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
machine learning
statistical machine learning
deep learning
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Iadh Ounis
University of Glasgow United Kingdom
machine learning
context-aware venue suggestion
deep learning
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Yingzhen Li
Imperial College London United Kingdom
machine learning
probabilistic machine learning
explainable machine learning
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Vishnu Boddeti
Michigan State University United States of America
machine learning
deep learning
pattern recognition
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Joshua Peeples
Texas A&M University United States of America
machine learning
deep learning
pattern recognition
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Alexandra Branzan Albu
University of Victoria Canada
machine learning
deep learning
pattern recognition
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Yee Teh
University of Oxford United Kingdom
machine learning
large scale machine learning
deep learning
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Pascal Vincent
University of Montreal Canada
machine learning
deep learning
pattern recognition
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Kin-choong Yow
University of Regina Canada
machine learning
deep learning
pattern recognition
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Thomas Fevens
Concordia University Canada
machine learning
deep learning
pattern recognition
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George Azzopardi
University of Groningen Netherlands
machine learning
deep learning
pattern recognition
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