Large Scale Brain Networks Professors in Global

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Lei Ying
University of Michigan United States of America
large-scale computing systems
large-scale communication systems
large-scale graph mining
stochastic networks
big data
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Pierre-emmanuel Jabin
Pennsylvania State University United States of America
large systems
biological neural networks
artificial neural networks
deep learning
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Weiren Yu
University of Warwick United Kingdom
large-scale graph mining
neural computing
big data analytics
deep learning
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Chris Eliasmith
University of Waterloo Canada
large-scale neural modelling
neural networks
neural computing
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Shadi Abpeikar
University of New South Wales Australia
neural networks
big data
neural trees
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Brokoslaw Laschowski
University of Toronto Canada
neural networks
brain-inspired algorithms
deep learning
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A.c.c. Coolen
Radboud University Netherlands
neural networks
random networks
high-dimensional data
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Pascal Vincent
University of Montreal Canada
neural networks
big data
deep learning
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Xenia Miscouridou
Imperial College London United Kingdom
deep generative models
statistical network modeling
deep learning
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Balaji Prabhakar
Stanford University United States of America
stochastic network theory
network algorithms
data networks
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Jorge Mejias
University of Amsterdam Netherlands
large-scale brain communication
neural networks
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Mert Pilanci
Stanford University United States of America
large scale machine learning
neural networks
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Souvik Dhara
Georgia Institute of Technology United States of America
large-scale networks
clustering networks
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Dobromir Rahnev
Georgia Institute of Technology United States of America
large-scale brain networks in cognition
artificial neural networks
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Josep Guerrero
Aalborg University Denmark
brain networks
neural networks
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Greg Ganger
Carnegie Mellon University United States of America
large-scale machine learning
big data
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Yee Teh
University of Oxford United Kingdom
large scale machine learning
deep learning
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Sujay Sanghavi
University of Texas at Austin United States of America
large-scale networking
high-dimensional data analysis
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Belaid Moa
University of Victoria Canada
large-scale artificial intelligence
big data analytics
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Honglak Lee
University of Michigan United States of America
large-scale learning
deep learning
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Eran Mukamel
University of California, San Diego United States of America
large-scale data analysis
modeling biological networks
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