My research activity focuses on the study of theoretical and practical aspects of learning and reasoning in the presence of uncertainty. The goal is to enable AI systems to learn, represent knowledge, and reason without the assumption of having complete knowledge over the domain of interest.
- (2020). Learning query inseparable ELH ontologies. Proceedings of the AAAI Conference on Artificial Intelligence.
- (2020). Learning query inseparable ELH ontologies. CEUR Workshop Proceedings.
- (2021). Mining EL Bases with Adaptable Role Depth. 8 pages.
- (2020). On the Learnability of Possibilistic Theories. 7 pages.