Machine learning is the core of knowledge extraction, of data science, and of artificial intelligence.
Our team works on three main topics.
Our works on clustering focus on collaborative clustering, on one hand, and on constrained, semi-supervised clustering, on the other hand.
Formal concept analysis
We work on three axes of formal concept analysis:
- relational concept analysis (RCA)
- Pattern/rule extraction
- Adaptation to temporal sequences and graphs
Supervised learning and transfer learning
We study deep learning for image segmentation and classification, and object detection.
We work on model reuse, imbalanced data, and active learning.