Per anno
- Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review (ACM Computing Surveys) — Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, Matteo Magnini, Andrea Omicini
- From Large Language Models to Small Logic Programs: Building Global Explanations from Disagreeing Local Post-hoc Explainers (Autonomous Agents and Multi-Agent Systems) — Andrea Agiollo, Luciano Cavalcante Siebert, Pradeep Kumar Murukannaiah, Andrea Omicini
- Anonymous Federated Learning via Named-Data Networking (Future Generation Computer Systems) — Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Nicolò Dal Fabbro, Riccardo Lazzeretti
- EneA-FL: Energy-aware Orchestration for Serverless Federated Learning (Future Generation Computer Systems) — Andrea Agiollo, Paolo Bellavista, Matteo Mendula, Andrea Omicini
- An Empirical Study on the Robustness of Knowledge Injection Techniques Against Data Degradation (WOA 2024) — Andrea Rafanelli, Matteo Magnini, Andrea Agiollo, Giovanni Ciatto, Andrea Omicini
- Approximating Memorization Using Loss Surface Geometry for Dataset Pruning and Summarization (KDD 2024) — Andrea Agiollo, Young In Kim, Rajiv Khanna