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Spatially Explicit Machine Learning
Spatially Explicit Machine Learning Professors in Global
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Professor
Mark Handcock
University of California Los Angeles
United States of America
environmental spatial statistics
stochastic modeling
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Professor
Chris De Sa
Cornell University
Netherlands
high-performance machine learning
stochastic algorithms
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Professor
Chris De Sa
Cornell University
Netherlands
high-performance machine learning
stochastic algorithms
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Professor
Yan Tang
University of Illinois
United States of America
perceptually-motivated signal processing
computational modelling
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Professor
Gengchen Mai
University of Texas at Austin
United States of America
spatially explicit artificial intelligence
geospatial artificial intelligence
spatial data science
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Professor
Ottmar Cronie
University of Gothenburg
Sweden
bayesian spatio-temporal modeling
statistical modeling
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Professor
Malumbo Chipofya
University of Twente
Netherlands
spatial map alignment
qualitative spatial knowledge representation
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Professor
Xiaohua Huang
University of California, San Diego
United States of America
deep machine learning
computational modeling
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Professor
Raymond Mooney
University of Texas at Austin
United States of America
statistical relational learning
semi-supervised ensemble learning
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Professor
Professor
Stanford University
United States of America
stochastic modeling
computational modeling
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Professor
Magnus Röding
Chalmers University of Technology
Sweden
machine learning
stochastic modeling
statistical modeling
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Professor
Aboelmagd Noureldin
Queen's University
Canada
machine intelligence
machine vision
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Professor
James Green
Carleton University
Canada
machine intelligence
machine vision
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Professor
Dominic Robson
King's College London
United Kingdom
computational modelling
mathematical modelling
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Professor
Jay Mackenzie
University of Glasgow
United Kingdom
computational modelling
mathematical modelling
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Professor
Michael Watson
University of New South Wales
Australia
computational modelling
mathematical modelling
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Professor
Weiruo Zhang
Purdue University
United States of America
spatial multi-omics
multi-modality machine learning
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Professor
Stijn De Vuyst
Ghent University
Belgium
stochastic modeling
stochastic optimization
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Professor
Daniel Graham
Imperial College London
United Kingdom
statistical modelling
mathematical modelling
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Professor
Mirjam Kretzschmar
UMC Utrecht
Netherlands
statistical modelling
mathematical modelling
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Professor
Bernard Ee
Singapore University of Technology and Design
Singapore
statistical modelling
mathematical modelling
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