Network Based Discovery Approaches Professors in Global

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Leman Akoglu
Carnegie Mellon University United States of America
pattern discovery
knowledge discovery
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Farid Moussavi-harami
University of Washington United States of America
computational approaches
molecular approaches
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Alexander Whitelaw
University of Glasgow United Kingdom
settings-based approaches
discourse-based approaches
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Thees Spreckelsen
University of Glasgow United Kingdom
research methods
experimental methods
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Shiva Tavallaey
KTH Royal Institute of Technology Sweden
model-based methods
data-driven methods
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University of Chicago United States of America
genomic approaches
transcriptomic approaches
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Marc Suchard
University of California Los Angeles United States of America
biostatistical approaches
biomathematical approaches
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Katlijn Haesebrouck
Maastricht University Netherlands
experimental methods
behavioral approaches
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Andrew Markham
University of Oxford United Kingdom
physics-informed approaches
data-driven methods
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June Ejlersen
University of Southern Denmark Denmark
research methodology
collaboration networks
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Donald Sharpe
University of Regina Canada
research methodology
quantitative approaches
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Jakob Runge
Causal Inference Lab United States of America
network-based methods
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Romaric Duvignau
University of Gothenburg Sweden
discovery algorithms
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Theo Hofman
Eindhoven University of Technology Belgium
model-based approaches
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Ivaylo Vassilev
University of Southampton United Kingdom
network methodologies
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Esther Kaufmann
University of Konstanz Germany
internet-based research methods
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Sergiy Butenko
Texas A&M University United States of America
network-based data mining
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Michael St John
Technical University of Denmark Denmark
machine learning approaches
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Hawazin Elani
Harvard University United States of America
machine learning approaches
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Carl Nordlund
Linköping University Sweden
network-analytical methods
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Assad Oberai
University of Southern California United States of America
data-driven discovery
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