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OPIS - 2019

Overall Objectives
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Bibliography


2019 Project-Team Activity Report
OPIS
OPtImization for large Scale biomedical data
Research centre: Saclay - Île-de-France
In partnership with: CentraleSupélec



Field: Digital Health, Biology and Earth

Theme: Computational Neuroscience and Medicine
Keywords:
Computer Science and Digital Science:
  • A3.4. - Machine learning and statistics
  • A3.4.1. - Supervised learning
  • A3.4.2. - Unsupervised learning
  • A3.4.3. - Reinforcement learning
  • A3.4.4. - Optimization and learning
  • A3.4.5. - Bayesian methods
  • A3.4.6. - Neural networks
  • A3.4.8. - Deep learning
  • A6.2. - Scientific computing, Numerical Analysis & Optimization
  • A6.2.4. - Statistical methods
  • A6.2.6. - Optimization
  • A8.2. - Optimization
  • A8.7. - Graph theory
  • A9.2. - Machine learning
  • A9.3. - Signal analysis
  • A9.7. - AI algorithmics
Other Research Topics and Application Domains:
  • B1. - Life sciences
  • B1.1. - Biology
  • B1.2. - Neuroscience and cognitive science
  • B2.6. - Biological and medical imaging