Data intelligence
Data intelligence is about interacting with data in rich, semantically meaningful ways, going beyond search to create the path from data to knowledge.
The Data Intelligence team of the Hubert Curien Lab explores 2 main aspects of Data Intelligence: Machine Learning and Complex Data Analysis.
More specifically, the team focuses on the following machine learning topics:
- Representation Learning
- Physics-Informed Machine Learning in collaboration with the MALICE Inria team
- Transfer Learning and Domain Adaptation
- Learning Theory
- Metric Learning,
- In complex data analysis, the focus is on:
- Developing methods to efficiently analyse and mine structured data: documents, graphs, social networks, digital networks, etc.,
- Text analysis and Natural Language Processing
- Fairness, Ethics and biases
- Learning and analyzing from difficult scenarios.
The team is particularly interested in the following applications:
- Anomaly and Fraud detection
- Computer Vision/Image and Video Analysis
- Medical Data analysis
- Textual Data Analysis and Natural Language Processing
- Social Network Analysis
- Surface Engineering
- Physics guided applications