Research topics

This research area addresses the development of machine learning techniques and systems for reasoning over complex domains involving multiple entities, relationships and constraints. The complexity of the information to be processed and of the tasks to be addressed calls for the design of elaborate architectures and advances in fields such as deep and statistical relational learning, structured prediction, multi-task learning, etc. Prototypical and main application domains are Computer Vision and Multimedia, Natural Language Processing, and Bioinformatics.

Faculty members

Alessandro Moschitti
Andrea Passerini (coordinator)
Elisa Ricci
Nicu Sebe
Fausto Giunchiglia
Olga Uryupina
Federica Arrigoni
Paolo Rota
Enver Sangineto