Machine Learning Methods To Optimize Icu Outcomes Professors in Global

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Jan Kronqvist
Royal Institute of Technology Sweden
optimization algorithms
ai in optimization
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Nickolas Vlahopoulos
University of Michigan United States of America
optimization algorithms
computational methods
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George Papavassilopoulos
University of Southern California United States of America
optimization algorithms
optimization
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Beidi Chen
Carnegie Mellon University United States of America
efficient machine learning
algorithm optimization
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Peter Barnett
University of Melbourne Australia
computational methods
optimization
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Soledad Villar
Johns Hopkins University United States of America
computational methods
optimization
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Prajith Geethakumari
Chalmers University of Technology Sweden
computational methods
optimization
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Andreas Waechter
Northwestern University United States of America
computational methods
optimization
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Richard Malak
Texas A&M University United States of America
computational methods
optimization
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Mohamed Atia
Carleton University Canada
computational methods
optimization
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Xiaoliang Jin
University of British Columbia Canada
computational methods
optimization
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Robert Smith
University of Michigan United States of America
global optimization methods
optimization
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Ali Asim
Aalborg University Denmark
optimization
efficiency optimization
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Charlene Ong
Boston University United States of America
machine learning methods to optimize icu outcomes
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Zubair Fadlullah
Western University Canada
artificial intelligence optimization methods
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Joe Lovetri
University of Manitoba Canada
optimization methods
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Elizabeth Munch
Michigan State University United States of America
optimization methods
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Pablo Parrilo
Massachusetts Institute of Technology United States of America
optimization methods
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Xing Wang
Purdue University United States of America
optimization methods
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Zeina Baalbaki
University of British Columbia Canada
optimization methods
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Lewis Ntaimo
Texas A&M University United States of America
optimization methods
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