Real Time Machine Learning Algorithms Professors in Global

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Christlinde Thielcke
Technical University of Berlin Germany
combinatorial algorithms
exact algorithms
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Susanne Albers
Technical University of Munich Germany
online approximation algorithms
efficient algorithms
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Beidi Chen
Carnegie Mellon University United States of America
efficient machine learning
algorithm optimization
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Mark Winands
Maastricht University Netherlands
machine reasoning
adaptive algorithms
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Andy Ye
Toronto Metropolitan University Canada
digital communication algorithms
graphics algorithms
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Kalinda Ukanwa
University of Southern California United States of America
algorithmic decision-making
algorithmic bias
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Peter Kling
University of Hamburg Germany
algorithm theory
efficient algorithms
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Beatrice Ombuki-berman
Brock University Canada
genetic algorithms
artificial neural networks
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Elmar Eisemann
Delft University of Technology Netherlands
real-time perceptual rendering
shadow algorithms
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Robert Stahlbock
University of Hamburg Germany
bioanalogical algorithms
artificial neural networks
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Aditya Potukuchi
York University Canada
algorithms
algorithmic sampling
algorithmic counting
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Romaric Duvignau
University of Gothenburg Sweden
discovery algorithms
consensus algorithms
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Sophia Wilson
University of Copenhagen Denmark
machine learning
resource efficient machine learning
data efficient machine learning
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Milind Kulkarni
Purdue University United States of America
optimizing algorithms
parallelizing algorithms
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Marc Renault
University of Wisconsin United States of America
online algorithms
approximation algorithms
search algorithms
offline algorithms
analysis of algorithms
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Tuğkan Batu
London School of Economics United Kingdom
algorithms
sublinear algorithms
randomized computation
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Krzysztof Dzieciolowski
Concordia University Canada
machine learning operations
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Pieter Cuijpers
Eindhoven University of Technology Belgium
real-time scheduling
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Seon Kim
University of Southern California United States of America
image machine learning
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Jyo Deshmukh
University of Southern California United States of America
machine learning
real-time temporal logics
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Jyotirmoy Deshmukh
University of Southern California United States of America
machine learning
real-time temporal logics
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