Predictive Inspection Professors in Global

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Anindya Das
Umeå University Sweden
computer vision
anomaly detection
adaptive deviation learning
machine learning
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Du Huynh
University of Western Australia Australia
computer vision
object detection
machine learning
pattern recognition
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Christophe Mues
University of Southampton United Kingdom
predictive analytics
prescriptive analytics
machine learning
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A.c.c. Coolen
Radboud University Netherlands
predictive analysis
statistical inference
machine learning
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Yindalon Aphinyanaphongs
New York University United States of America
predictive analytics
translational predictive analytics
machine learning
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Zheng Liu
University of British Columbia Canada
predictive maintenance
machine vision
machine learning
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Pengyi Shi
Purdue University United States of America
predictive analytics
prescriptive analytics
machine learning
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George Azzopardi
University of Groningen Netherlands
predictive analysis
machine learning
pattern recognition
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John Doe
University of Wisconsin–Madison United States of America
predictive modeling
computer vision
machine learning
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Karima Dyussekeneva
University College London United Kingdom
predictive analytics
forecasting
machine learning
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Professorship Biometry Molecular Medicine
Ludwig Maximilian University of Munich Germany
prediction modeling
prediction error estimation
machine learning
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Jaime Ide
Yale University United States of America
predictive modeling
machine learning
pattern recognition
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John Doe
KU Leuven Belgium
predictive analytics
computer vision
machine learning
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Rina Foygel Barber
University of Chicago United States of America
prediction
conformal prediction
statistical inference
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Christian Dahl
University of Southern Denmark Denmark
predictive analytics
computer vision
machine learning
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Paula Branco
University of Ottawa Canada
predictive analytics
anomaly detection
machine learning
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Lennart Baardman
University of Michigan United States of America
predictive techniques
prescriptive techniques
machine learning
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Federico De Martino
Maastricht University Netherlands
predictive coding
machine learning
pattern recognition
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Victoria Blanes-vidal
University of Southern Denmark Denmark
prediction
early detection
machine learning
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Mousumi Rizia
Australian National University Australia
autonomous intelligent inspection
autonomous inspection
computer vision
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D.m.j. Tax
Delft University of Technology Netherlands
prediction
machine learning
pattern recognition
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