Machine Scoring Professors in Global

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Maria Amer
Concordia University Canada
deep learning
video processing
object detection
object tracking
computer vision
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A.c.c. Coolen
Radboud University Netherlands
machine learning
statistical inference
predictive analysis
neural networks
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Nazim Khan
University of Western Australia Australia
stochastic modelling
time series modelling
statistical clustering
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Yeganeh Alimohammadi
University of Southern California United States of America
machine learning
statistical inference
algorithms
game theory
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Abhirup Banerjee
University of Oxford United Kingdom
artificial intelligence
computational modelling
geometric machine learning
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Umberto Picchini
Chalmers University of Technology Sweden
stochastic modelling
statistical inference
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Umberto Picchini
University of Gothenburg Sweden
stochastic modelling
statistical inference
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Elizabeth Wonnacott
University of Oxford United Kingdom
computational modelling
statistical learning
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Richard Border
Carnegie Mellon University United States of America
statistical inference
statistical learning
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Sabine Loos
University of Michigan United States of America
predictive modeling
statistical inference
statistical learning
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Audrey-anne Vallée
Laval University Canada
statistical inference
statistical learning
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Marie-pier Côté
Laval University Canada
statistical inference
statistical learning
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Dabao Zhang
Purdue University United States of America
machine learning
data mining
statistical inference
massive data modeling
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Anthony Coache
Imperial College London United Kingdom
stochastic modeling
statistical learning
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Sanjeev Kulkarni
Princeton University United States of America
machine learning
video processing
statistical pattern recognition
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Marcos López De Prado
Cornell University Netherlands
statistical inference
financial machine learning
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Eugene Poh Zhenyong
Macquarie University Australia
computational modelling
motor learning
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Muffy Calder
University of Glasgow United Kingdom
computational modelling
automated reasoning
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Kuldeep Meel
Georgia Institute of Technology United States of America
randomized algorithms
statistical inference
automated reasoning
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Yaniv Morgenstern
Erasmus University Rotterdam Netherlands
computational modelling
neural networks
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Chi Yuen
University of Copenhagen Denmark
statistical learning
data processing
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