Multi Modal Data Professors in Global

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Chloë Fogarty-bourget
Carleton University Canada
multimodality
multimodal analysis
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Xiao-qing Liu
University of Manitoba Canada
multi-omic data
multivariate analysis
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Usman Naseem
Macquarie University Australia
multimodal analysis
multimodal content analysis
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Hyeon-ah Kang
University of Texas at Austin United States of America
multimodal analytics
cognitive behavioral data
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Jarret Geenen
Radboud University Netherlands
multimodal communication
multimodal interaction
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Bouchra Nasri
University of Montreal Canada
multilevel analysis
multivariate analysis
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Paul Mcnicholas
McMaster University Canada
multivariate longitudinal data
mixed-type data
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Christian Linder
Stanford University United States of America
multi-physics
multi-scale modeling
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Julius Schlumberger
Vrije Universiteit Amsterdam Netherlands
multi-sector
multi-risk
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Elena Demidova
University of Bonn Germany
spatio-temporal multilingual data
open data
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Claus Rinner
Toronto Metropolitan University Canada
multi-criteria decision analysis
open data
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Claus Rinner
Toronto Metropolitan University Canada
multi-criteria evaluation
open data
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Kayhan Batmanghelich
Boston University United States of America
multi-modal data
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Nic Lane
University of Cambridge United Kingdom
multi-modal data
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Johanna Björklund
Umeå University Sweden
multimodal data
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Bertrand Schneider
Harvard Graduate School of Education United States of America
multimodal data
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Christine Howes
University of Gothenburg Sweden
multimodal data
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Dumitrascu Group
Columbia University United States of America
multi-modal data analysis
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Despina Kontos
Columbia University United States of America
multi-modality imaging data
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Kate Dunn
University of New South Wales Australia
multi-modal data visualisation
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Matthew Lungren
Stanford University United States of America
multi-modal data fusion
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