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CEMSE

Computer, Electrical and Mathematical Sciences and Engineering

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KAUST CEMSE CS Seminar Fenglong Ma
Deep Predictive Models for Mining Electronic Health Records
Fenglong Ma, Research Assistant, State University of New York at Buffalo, USA
Tuesday, March 26, 12:00
- 13:00
B1 L4 Room 4214
  • CS
  • CEMSE
  • machine learning
  • data mining
  • healthcare
Seminar
KAUST CEMSE STAT STSDA Marc G. Genton

Marc G. Genton

Distinguished Professor, Statistics
  • AMCS
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Professors
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KAUST CEMSE STAT STSDS AMCS CNR Marc Genton
Marc Genton received an ISI Service Award 2019
1 year 1 month ago
  • CEMSE
  • STAT
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  • ECRC
  • CNR
  • AMCS
  • statistics
  • visualization
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KAUST CEMSE STAT Marc Genton
Professor Marc Genton and former postdoctoral fellow win the 2017 Wilcoxon Award
2 years 8 months ago
  • CEMSE
  • STAT
  • ECRC
  • AMCS
  • Mathematical modeling
  • visualization
  • computational predictions
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KAUST CEMSE STAT STSDA Marc G. Genton
Professor Marc Genton named Distinguished Professor of Statistics at KAUST
4 years ago
  • CEMSE
  • AMCS
  • CNR
  • STSDS
  • STAT
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  • computational predictions
  • mathematical modelling
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Stochnum Tempone Award Germany
Professor Raul Tempone awarded Germany’s most endowed research award
2 years 5 months ago
  • CEMSE
  • AMCS
  • STOCHNUM
  • RWTH Aachen
  • uncertainty quantification
  • computational predictions

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