Network Machine Learning Professors in Global

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Aziz Guergachi
Toronto Metropolitan University Canada
data mining
machine learning applications
mathematical modeling systems
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Chris De Sa
Cornell University Netherlands
deep learning
high-performance machine learning
machine learning frameworks
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Abraham Bernstein
University of Zurich Switzerland
machine learning
time series mining
data mining
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Abraham Bernstein
University of Zurich Switzerland
machine learning
time series mining
data mining
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Ton Dieker
Columbia University United States of America
stochastic networks
predictive modeling
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Ritu Chaturvedi
University of Guelph Canada
predictive modeling
data mining
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Pang-ning Tan
Michigan State University United States of America
predictive modeling
data mining
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Fei Wang
Cornell University Netherlands
machine learning
predictive modeling
data mining
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Fei Wang
Cornell University Netherlands
machine learning
predictive modeling
data mining
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Mogana Ganggayah
Monash University Australia
machine learning
deep learning
predictive modeling
data mining
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Ritu Chaturvedi
University of Guelph Canada
predictive modeling
data mining
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Bruno Gächter
ZHAW Zurich University of Applied Sciences Switzerland
machine learning
predictive modeling
algorithmic decision-making
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Devavrat Shah
Massachusetts Institute of Technology United States of America
network algorithms
stochastic networks
network information theory
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Melba Crawford
Purdue University United States of America
data mining
statistical pattern recognition
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Ajith Jayasekare
University of New South Wales Australia
predictive modeling
machine learning applications
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Flora Salim
University of New South Wales Australia
robust machine learning
multimodal machine learning
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Mark Andrejevic
Monash University Australia
data mining
automated decision-making
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Dabao Zhang
Purdue University United States of America
machine learning
data mining
massive data modeling
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Balaji Prabhakar
Stanford University United States of America
network algorithms
stochastic network theory
data networks
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Nazim Khan
University of Western Australia Australia
time series modelling
stochastic modelling
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Eric Xing
Carnegie Mellon University United States of America
machine learning
data mining
probabilistic modeling
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