Logistic Regression Models Professors in Global

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Bilge Atasoy
Delft University of Technology Netherlands
choice-based optimization models
decision making models
stochastic dynamic vehicle routing models
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Robert Kohn
University of New South Wales Australia
nonparametric regression models
time series modeling
model averaging
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Kai Brüssau
University of Hamburg Germany
regression models
classification models
large language models
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Mikael Hedlind
KTH Royal Institute of Technology Sweden
data models
model driven engineering
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Paul Blanche
University of Copenhagen Denmark
prediction models
competing risks models
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Stefan Voß
University of Hamburg Germany
computational logistics
logistics
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Stanford University United States of America
logical modeling
stochastic modeling
computational modeling
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Lóránt Tavasszy
Delft University of Technology Netherlands
logistics
freight transportation modeling
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Mateus Maia Marques
University of Glasgow United Kingdom
statistical learning models
bayesian tree models
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Tilda Herrgårdh
Linköping University Sweden
machine learning
mechanistic models
mathematical modelling
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Alessio Trivella
University of Twente Netherlands
mathematical optimization models
logistics transportation
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Xiaohua Huang
University of California, San Diego United States of America
deep machine learning
computational modeling
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Tom Cherrett
University of Southampton United Kingdom
logistics
freight logistics
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Tomer Galanti
Texas A&M University United States of America
machine deep learning
large language models
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Ralf Zimmermann
University of Southern Denmark Denmark
reduced order modelling
mathematical modelling
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Luke Miller
Radboud University Netherlands
machine learning
computational modeling
neural network modeling
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Dominic Robson
King's College London United Kingdom
computational modelling
mathematical modelling
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Jay Mackenzie
University of Glasgow United Kingdom
computational modelling
mathematical modelling
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Michael Watson
University of New South Wales Australia
computational modelling
mathematical modelling
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Nikolai Kühne
Aalborg University Denmark
machine learning
sequence modelling
large language models
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Martin Trapp
KTH Royal Institute of Technology Sweden
large language models
vision language models
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