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2019 Project-Team Activity Report
MNEMOSYNE
Mnemonic Synergy
Research centre:
Bordeaux - Sud-Ouest
In partnership with: CNRS, Institut Polytechnique de Bordeaux, Université de Bordeaux
Keywords:
Computer Science and Digital Science:
- A1.1.12. - Non-conventional architectures
- A1.5. - Complex systems
- A3.1.1. - Modeling, representation
- A3.1.7. - Open data
- A3.2.2. - Knowledge extraction, cleaning
- A3.2.5. - Ontologies
- A3.3. - Data and knowledge analysis
- A3.3.2. - Data mining
- A3.4.1. - Supervised learning
- A3.4.2. - Unsupervised learning
- A3.4.3. - Reinforcement learning
- A3.4.4. - Optimization and learning
- A3.4.6. - Neural networks
- A3.4.8. - Deep learning
- A5.1.1. - Engineering of interactive systems
- A5.1.2. - Evaluation of interactive systems
- A5.2. - Data visualization
- A5.3.3. - Pattern recognition
- A5.4.1. - Object recognition
- A5.4.2. - Activity recognition
- A5.7.1. - Sound
- A5.7.3. - Speech
- A5.7.4. - Analysis
- A5.8. - Natural language processing
- A5.9.1. - Sampling, acquisition
- A5.10.5. - Robot interaction (with the environment, humans, other robots)
- A5.10.7. - Learning
- A5.10.8. - Cognitive robotics and systems
- A5.11.1. - Human activity analysis and recognition
- A7.1. - Algorithms
- A9.2. - Machine learning
- A9.5. - Robotics
Other Research Topics and Application Domains:
- B1.2. - Neuroscience and cognitive science
- B1.2.1. - Understanding and simulation of the brain and the nervous system
- B1.2.2. - Cognitive science
- B2.2.6. - Neurodegenerative diseases
- B8.5.2. - Crowd sourcing
- B9.1.1. - E-learning, MOOC
- B9.5.1. - Computer science
- B9.6.8. - Linguistics
- B9.7. - Knowledge dissemination
- B9.8. - Reproducibility
- B9.11.1. - Environmental risks