Predictability Analysis Professors in Global

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Jianliang Qian
Michigan State University United States of America
numerical analysis
big data analysis
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Jianliang Qian
Michigan State University United States of America
numerical analysis
big data analysis
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Franc Donkers
Maastricht University Netherlands
network analysis
time-frequency analysis
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Nadiya Kostyuk
Carnegie Mellon University United States of America
network analysis
text analysis
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Laura Nelson
University of British Columbia Canada
network analysis
text analysis
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Nathan Srebro
University of Chicago United States of America
probabilistic modeling
text analysis
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Tao Zou
Australian National University Australia
big data analysis
dependent data analysis
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Jorge Gil
Chalmers University of Technology Sweden
network analysis
spatial analysis
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Junbum Kwon
University of New South Wales Australia
network analysis
content analysis
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Carlos Quintero-febres
Texas A&M University United States of America
probabilistic analysis in design
reliability-based evaluation
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Pietro Bonizzi
Maastricht University Netherlands
recurrence analysis
time-frequency analysis
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Luminita Vese
University of California Los Angeles United States of America
numerical analysis
image analysis
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René Carmona
Princeton University United States of America
stochastic analysis
signal analysis
image analysis
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Fei Song
University of Guelph Canada
temporal analysis
sentiment analysis
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Hanna Maoh
University of Windsor Canada
big data analysis
forecasting
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Ben Reis
Harvard University United States of America
predictive medicine
disease prediction
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Nikola Gradojevic
University of Guelph Canada
technical analysis
forecasting
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Grisel García Pérez
University of British Columbia Canada
speech analysis
text analysis
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Måns Magnusson
Uppsala University Sweden
probabilistic machine learning
textual analysis
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Roger Tam
University of British Columbia Canada
clinical prediction
image analysis
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Alain De Janvry
University of California, Berkeley United States of America
impact analysis
quantitative analysis
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