Detecting Deception Professors in Global

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Leman Akoglu
Carnegie Mellon University United States of America
fraud detection
anomaly detection
pattern discovery
outlier detection
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David Parker
University of Oxford United Kingdom
probabilistic verification
automated verification
verification
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Hilary Cameron
Toronto Metropolitan University Canada
lie detection
deception
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Paula Branco
University of Ottawa Canada
fraud detection
anomaly detection
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Paula Branco
University of Ottawa Canada
fraud detection
anomaly detection
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Dominic Peltier-rivest
Concordia University Canada
fraud detection
fraud prevention
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Ilja Van Beest
Tilburg University Netherlands
deception
conflict detection
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J.c. Van Gemert
Delft University of Technology Netherlands
detection
pattern recognition
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Nathan Vanhoudnos
Carnegie Mellon University United States of America
detection
verification
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Bogdan Vasilescu
Carnegie Mellon University United States of America
detection
fraud
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Christian Maack
Aalborg University Denmark
fault detection
anomaly detection
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Monica Whitty
Monash University Australia
deception
fraud
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Sankaran Iyer
University of New South Wales Australia
anomaly detection
object detection
pedestrian detection
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Georgios Fellouris
University of Illinois United States of America
anomaly detection
sequential detection
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Pierre Tardif
University of Sherbrooke Canada
anomaly detection
intrusion detection
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Guofei Gu
Texas A&M University United States of America
botnet detection
anomaly detection
intrusion detection
internet malware detection
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Erza Aminanto
Monash University Australia
anomaly detection
intrusion detection
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Du Huynh
University of Western Australia Australia
object detection
pattern recognition
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Federico De Martino
Maastricht University Netherlands
decoding
pattern recognition
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Simon Viel
Carleton University Canada
dark matter detection
detector simulation
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Leo Van Ijzendoorn
Eindhoven University of Technology Belgium
point-of-care detection
detection of biomolecules
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