Application Of Machine Learning In Data Interpretation And Decision Making Professors in Global

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Jing Gao
Purdue University United States of America
data mining applications in biology
data mining applications in transportation
data mining applications in education
data mining applications in criminal justice
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Borzou Rostami
University of Alberta Canada
machine learning applied to real-time decision making
integration of machine learning and optimization
data-driven decision making
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Francisco Camara Pereira
Technical University of Denmark Denmark
data interpretation
machine learning
human decision-making
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Yang Lu
University of Waterloo Canada
interpretable machine learning
machine learning
data analysis
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Qiuzhuang Sun
University of Sydney Australia
data-driven decision-making
machine learning
applied data science
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Hina Shaheen
University of Manitoba Canada
machine learning
statistical machine learning
data analysis
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Qing Zhao
Cornell University Netherlands
machine learning
algorithmic theory applications
machine learning systems
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Alejandro Hernandez
Stockholm University Sweden
applied machine learning
machine learning interpretability
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Blair Thornton
University of Southampton United Kingdom
automated interpretation of data
artificial intelligence methods for image interpretation
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Michael Gelbart
University of British Columbia Canada
applied machine learning
machine learning
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Aristide Akem
University of Southampton United Kingdom
applied machine learning
machine learning
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Jiawei Zhang
University of Wisconsin–Madison United States of America
decision-making engineering applications
machine learning
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Jinfeng Liu
University of Alberta Canada
applied machine learning
machine learning
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Farhad Maleki
University of Calgary Canada
applied machine learning
machine learning
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Mohammad Jahanshahi
Purdue University United States of America
data interpretation
machine learning
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Shai Ben-david
University of Waterloo Canada
interpretability in machine learning
machine learning
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Pascal Germain
Laval University Canada
interpretable machine learning
machine learning
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Philipp Bayer
University of Western Australia Australia
interpretable machine learning
machine learning
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Steven Reece
University of Oxford United Kingdom
interpretable machine learning
machine learning
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Michael Guerzhoy
University of Toronto Canada
interpretable machine learning
machine learning
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Amine Bennouna
Northwestern University United States of America
data-driven decision making
machine learning
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