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Predictive Inspection
Predictive Inspection Professors in Global
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Professor
Stephanie Paal
Texas A&M University
United States of America
machine vision
infrastructure inspection
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Professor
Henrik Boström
KTH Royal Institute of Technology
Sweden
conformal prediction
probabilistic machine learning
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Professor
Fredrik Gustafsson
Linköping University
Sweden
adaptive filtering
change detection
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Professor
James Green
Carleton University
Canada
machine vision
prediction of protein structure
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Professor
Rina Foygel Barber
University of Chicago
United States of America
prediction
conformal prediction
statistical inference
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Professor
Georgios Fellouris
University of Illinois
United States of America
sequential detection
anomaly detection
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Professor
Shirley Dyke
Purdue University
United States of America
machine vision
damage detection
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Professor
Shirley Dyke
Purdue University
United States of America
machine vision
damage detection
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Professor
Mingyuan Zhou
University of Texas at Austin
United States of America
probabilistic machine learning
approximate inference
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Professor
Jon Forster
University of Warwick
United Kingdom
forecasting
statistical inference
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Professor
Mert Sabuncu
Cornell University
Netherlands
probabilistic modeling
statistical inference
computer vision
machine learning
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Professor
Pierre Tardif
University of Sherbrooke
Canada
intrusion detection
anomaly detection
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Professor
Guofei Gu
Texas A&M University
United States of America
intrusion detection
anomaly detection
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Professor
Erza Aminanto
Monash University
Australia
intrusion detection
anomaly detection
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Professor
Klaus Maier-hein
German Cancer Research Center
Germany
probabilistic modeling
object detection
machine learning
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Professor
Tung Kieu
Aalborg University
Denmark
forecasting
anomaly detection
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Professor
Rob Hyndman
Monash University
Australia
forecasting
anomaly detection
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Professor
Paula Branco
University of Ottawa
Canada
predictive analytics
utility-based predictive analytics
anomaly detection
machine learning
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Professor
Sankaran Iyer
University of New South Wales
Australia
computer vision
object detection
anomaly detection
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Professor
Anindya Das
Umeå University
Sweden
computer vision
anomaly detection
adaptive deviation learning
machine learning
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Professor
Mahreen Nasir
University of Guelph
Canada
anomaly detection
infectious disease prediction
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