Predictive Mapping Professors in Global

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Professorship Biometry Molecular Medicine
Ludwig Maximilian University of Munich Germany
prediction modeling
prediction error estimation
machine learning
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Costas Armenakis
York University Canada
robotic mapping
mapping
image sequence mapping
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Lennart Baardman
University of Michigan United States of America
predictive techniques
mathematical modeling
machine learning
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Antje Weisheimer
University of Oxford United Kingdom
predictability
climate forecasting
weather forecasting
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Sharareh Taghipour
Toronto Metropolitan University Canada
data-driven predictive modeling
mathematical modeling
data-driven prescriptive modeling
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Guotao Ma
University of Warwick United Kingdom
computational modeling
probabilistic analysis
machine learning
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D.m.j. Tax
Delft University of Technology Netherlands
prediction
machine learning
pattern recognition
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Luke Miller
Radboud University Netherlands
computational modeling
neural network modeling
machine learning
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James Kermode
University of Warwick United Kingdom
predictive modelling
machine learning
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James Kermode
University of Warwick United Kingdom
predictive modelling
machine learning
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Payam Barnaghi
Imperial College London United Kingdom
predictive modelling
machine learning
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Zia Farooq
Umeå University Sweden
predictive modelling
machine learning
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Laurence Frank
Utrecht University Netherlands
predictive modelling
machine learning
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Jean-yves Pitarakis
University of Southampton United Kingdom
predictive regressions
predictive accuracy testing
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Ewen Harrison
University of Edinburgh United Kingdom
prediction modelling
machine learning
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Helene Thomsen
Aarhus University Denmark
prediction modeling
machine learning
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Veronika Rockova
University of Chicago United States of America
predictive inference
machine learning
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Devanjan Bhattacharya
University of Edinburgh United Kingdom
pattern mapping
digital mapping
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Julija Zavadlav
Technical University of Munich Germany
predictive computational methods
machine learning
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Kemal Büyükkurt
Concordia University Canada
perceptual mapping
probabilistic choice models
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Michael Li
University of Alberta Canada
data predictions
mathematical modeling
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