Machine Learning In Healthcare Professors in Global

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Chris De Sa
Cornell University Netherlands
high-performance machine learning
deep learning
machine learning frameworks
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Hamid Alinejad-rokny
University of New South Wales Australia
biomedical machine learning
machine learning
statistical 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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Mi Park
University of British Columbia Canada
statistical machine learning
theoretical machine learning
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Danica Sutherland
University of British Columbia Canada
machine learning
statistical machine learning
theoretical machine learning
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Yuxin Chen
University of Pennsylvania United States of America
statistical machine learning
machine learning theory
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Thomas Fevens
Concordia University Canada
artificial intelligence healthcare
machine learning
medical image processing
deep learning
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Ayman Gh.
Australian National University Australia
machine learning algorithms
deep learning
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Ji Zhu
University of Michigan United States of America
statistical machine learning
statistical modeling in health science
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Fani Deligianni
University of Glasgow United Kingdom
statistical machine learning
deep learning
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Saikat Chatterjee
Royal Institute of Technology Sweden
artificial intelligence in healthcare
statistical machine learning
deep learning
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Julian Kooij
Delft University of Technology Netherlands
statistical machine learning
deep learning
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Adji Dieng
Princeton University United States of America
statistical machine learning
deep learning
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Tsu-pei Chiu
University of Southern California United States of America
statistical machine learning
deep learning
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
machine learning
statistical machine learning
deep learning
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Tom Rainforth
University of Oxford United Kingdom
statistical machine learning
deep learning
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Adji Dieng
Princeton University United States of America
statistical machine learning
deep learning
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Lei Ding
University of Manitoba Canada
statistical machine learning
deep learning
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Christopher Dye
University of Oxford United Kingdom
big data in health
decision-making in health
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Chris De Sa
Cornell University Netherlands
high-performance machine learning
deep learning
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Sasan Barak
University of Southampton United Kingdom
machine learning applications in finance
financial machine learning
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