Adaptive Anomaly Detection Professors in Global

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George Moustakides
University of Patras Greece
adaptive signal processing
sequential detection
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David Selviah
University College London United Kingdom
adaptive signal processing
pattern recognition
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Joseph Williams
University of Toronto Canada
adaptive experimentation
applied ai
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Francois Rigaut
Australian National University Australia
adaptive optics diversification
adaptive optics implementation
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Arnick Abdollahi
Australian National University Australia
change detection
advanced machine learning
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Leman Akoglu
Carnegie Mellon University United States of America
anomaly detection
outlier detection
pattern discovery
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Jaime Ide
Yale University United States of America
predictive modeling
pattern recognition
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Pang-ning Tan
Michigan State University United States of America
predictive modeling
pattern discovery
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Arash Arami
University of Waterloo Canada
assistive robotics
applied artificial intelligence
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Jean-yves Pitarakis
University of Southampton United Kingdom
predictive regressions
predictive accuracy testing
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Du Huynh
University of Western Australia Australia
object detection
pattern recognition
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Xuelian Cheng
Monash University Australia
object detection
automated machine learning
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Christopher Scott
Pennsylvania State University United States of America
adaptation
climate adaptation
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Margot Pâris
University of Fribourg Switzerland
adaptation
climate adaptation
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George Exarchakos
Eindhoven University of Technology Belgium
predictive networks
topology adaptation
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Moez Ali
Queen's University Canada
automated modeling
automated machine learning
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Medhat Moussa
University of Guelph Canada
pattern recognition
user-adaptive robots
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Kate Saenko
Boston University United States of America
adaptive machine learning
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Anindya Das
Umeå University Sweden
anomaly detection
adaptive deviation learning
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Jan Johannes
Heidelberg University Germany
adaptive estimation
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Ana Estrada Gomez
Purdue University United States of America
adaptive sampling
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