Function Prediction Professors in Global

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Tao Ma
University of Southern California United States of America
predictive analytics
functional data analysis
machine learning
time series forecasting
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Rina Foygel Barber
University of Chicago United States of America
prediction
conformal prediction
statistical inference
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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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Philipp Sterzinger
London School of Economics United Kingdom
prediction
machine learning
estimation
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A.c.c. Coolen
Radboud University Netherlands
predictive analysis
machine learning
statistical inference
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Fredrik Lindsten
Linköping University Sweden
statistical predictions
machine learning
weather forecasting
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Karima Dyussekeneva
University College London United Kingdom
predictive analytics
forecasting
machine learning
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Yindalon Aphinyanaphongs
New York University United States of America
predictive analytics
translational predictive analytics
machine learning
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Pengyi Shi
Purdue University United States of America
predictive analytics
machine learning
prescriptive analytics
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Jordan Awan
Purdue University United States of America
functional data analysis
machine learning
statistical inference
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Christophe Mues
University of Southampton United Kingdom
predictive analytics
machine learning
prescriptive analytics
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Burkhard Rost
Technical University of Munich Germany
protein structure prediction
machine learning
gene structure prediction
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Paula Branco
University of Ottawa Canada
predictive analytics
machine learning
utility-based predictive analytics
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Ze Jiang
University of New South Wales Australia
forecasting
flood prediction
drought prediction
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Chen Tang
Australian National University Australia
functional data analysis
mortality forecasting
functional time series analysis
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Rajesh Ranganath
New York University United States of America
probabilistic inference
machine learning
statistical inference
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Magnus Ross
University College London United Kingdom
machine learning
probabilistic machine learning
time series forecasting
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Mert Sabuncu
Cornell University Netherlands
machine learning
statistical inference
probabilistic modeling
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Michael Sternberg
Imperial College London United Kingdom
function prediction
protein structure prediction
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Dale Griffin
University of British Columbia Canada
prediction
forecasting
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Mike Holenderski
Eindhoven University of Technology Belgium
performance prediction
machine learning
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