Interpretable Machine Learning Professors in Global

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Fei Wang
Cornell University Netherlands
model interpretability
machine learning
predictive modeling
explainability
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Fei Wang
Cornell University Netherlands
model interpretability
machine learning
predictive modeling
explainability
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Jun Zhang
University of Michigan United States of America
computational modeling
computational vision
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Mateja Jamnik
University of Cambridge United Kingdom
machine learning
automated reasoning
explainability
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David Brainard
University of Pennsylvania United States of America
computational modeling
machine vision
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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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David Sontag
Massachusetts Institute of Technology United States of America
predictive modeling
clinical machine learning
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Pietro Liò
University of Cambridge United Kingdom
predictive modeling
explainability and interpretability in medicine
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Randy Bruno
University of Oxford United Kingdom
computational modeling
cognitive machinery
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Renate Schmidt
University of Manchester United Kingdom
automated reasoning
actionable knowledge extraction
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Rahime Yilmaz
University of Southern Denmark Denmark
predictive analytics
intelligent decision-making
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Irina Rish
University of Montreal Canada
machine learning
biologically plausible reinforcement learning
probabilistic inference
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Xiaohua Huang
University of California, San Diego United States of America
computational modeling
deep machine learning
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Yindalon Aphinyanaphongs
New York University United States of America
machine learning
predictive analytics
translational predictive analytics
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Alexey Ignatiev
Monash University Australia
automated reasoning
combinatorial optimisation
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Zheng Liu
University of British Columbia Canada
machine learning
machine vision
computational intelligence
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Pierre Payeur
University of Ottawa Canada
machine vision
computational intelligence
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Christoffer Back
University of Copenhagen Denmark
machine learning
computability learning theory
probabilistic inference
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Tom Lippincott
Johns Hopkins University United States of America
unsupervised machine learning
computational intelligence
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Nan Kong
Purdue University United States of America
computational modeling
computational image processing
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Nan Kong
Purdue University United States of America
computational modeling
computational image processing
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