Distributed Deadlock Detection Professors in Global

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Konstantinos Kamnitsas
University of Oxford United Kingdom
detection
deep neural networks
machine learning
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Christian Maack
Aalborg University Denmark
fault detection
anomaly detection
machine learning
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Joseph Gonzalez
University of California, Berkeley United States of America
accelerated deep learning
deep reinforcement learning
machine learning
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Yarin Gal
University of Oxford United Kingdom
deep probabilistic ai
deep reinforcement learning
machine learning
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Yarin Gal
University of Oxford United Kingdom
deep probabilistic ai
deep reinforcement learning
machine learning
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Leman Akoglu
Carnegie Mellon University United States of America
anomaly detection
outlier detection
machine learning
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James Aspnes
Yale University United States of America
distributed algorithms
distributed data structures
security in distributed systems
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Loza Tadesse
Massachusetts Institute of Technology United States of America
detection
machine learning
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Linköping University Sweden
distributed situated cognition
machine learning
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Gianluca Piazza
Carnegie Mellon University United States of America
biological detection
chemical detection
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Andrea Martin
University of Southern California United States of America
biological detection
chemical detection
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Rajeevan Arunthavanathan
University of Regina Canada
fault detection
machine learning
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Mohammed Khan
University of Southern Denmark Denmark
fault detection
machine learning
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Mehmet Türk
Aarhus University Denmark
fault detection
machine learning
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Zhenyu Yang
Aalborg University Denmark
fault detection
machine learning
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Biao Huang
University of Alberta Canada
fault detection
machine learning
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Fons Van Der Sommen
Eindhoven University of Technology Belgium
computer-aided detection
machine learning
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Ibrahim Al-nahhal
Memorial University of Newfoundland Canada
signal detection
machine learning
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Josien Pluim
Eindhoven University of Technology Belgium
deep learning
image detection
machine learning
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Josien Pluim
Eindhoven University of Technology Belgium
deep learning
image detection
machine learning
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Sankaran Iyer
University of New South Wales Australia
deep learning
pedestrian detection
object detection
anomaly detection
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