Model Explainability Professors in Global

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Fei Wang
Cornell University Netherlands
explainability
model interpretability
model fairness
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Fei Wang
Cornell University Netherlands
explainability
model interpretability
model fairness
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Ehsan Mobaraki
Aalborg University Denmark
explainability
explainable artificial intelligence
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Matthias Wilms
University of Michigan United States of America
explainability
interpretability
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Line Clemmensen
University of Copenhagen Denmark
explainable modeling
trustworthy modeling
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Amir Rahnama
KTH Royal Institute of Technology Sweden
explainable machine learning
interpretable machine learning
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Zihuai University
Stanford University United States of America
explainable machine learning
interpretable machine learning
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Michael Guerzhoy
University of Toronto Canada
mechanistic interpretability
interpretable machine learning
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Antje Weisheimer
University of Oxford United Kingdom
model uncertainty
predictability
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Tobias Breiten
Technical University of Berlin Germany
modeling
model reduction
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Lei Feng
KTH Royal Institute of Technology Sweden
modeling
model checking
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Ferhat Khendek
Concordia University Canada
modelling
reliability
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Luis Rodriguez
University of Illinois United States of America
modeling
reliability
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Cecilia Ying
Purdue University United States of America
model explainability
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Cecilia Ying
Purdue University United States of America
model explainability
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Smaranda Muresan
Columbia University United States of America
explainable models
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Masoud Mansoury
Delft University of Technology Netherlands
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explainability
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Anna Korhonen
University of Cambridge United Kingdom
explainability
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Eric Wong
University of Pennsylvania United States of America
explainability
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Ghita Berrada
London School of Economics and Political Science United Kingdom
explainability
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Mateja Jamnik
University of Cambridge United Kingdom
explainability
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