Per Sort
- Approximating Memorization Using Loss Surface Geometry for Dataset Pruning and Summarization (KDD 2024) — Andrea Agiollo, Young In Kim, Rajiv Khanna
- 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
- GNN4IFA: Interest Flooding Attack Detection With Graph Neural Networks (EuroS&P 2023) — Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Riccardo Lazzeretti, Eleonora Losiouk, Andrea Omicini
- Measuring Trustworthiness in Neuro-Symbolic Integration (FedCSIS 2023) — Andrea Agiollo, Andrea Omicini
- Peer-Reviewed Federated Learning (WOA 2023) — Mattia Passeri, Andrea Agiollo, Andrea Omicini
- The Quarrel of Local Post-hoc Explainers for Moral Values Classification in Natural Language Processing (EXTRAAMAS 2023@AAMAS 2023) — Andrea Agiollo, Luciano C. Siebert, Pradeep K. Murukannaiah, Andrea Omicini
- Towards Quality-of-Service Metrics for Symbolic Knowledge Injection (WOA 2022) — Andrea Agiollo, Andrea Rafanelli, Andrea Omicini
- GNN2GNN: Graph Neural Networks to Generate Neural Networks (UAI 2022) — Andrea Agiollo, Andrea Omicini
- Shallow2Deep: Restraining Neural Networks Opacity through Neural Architecture Search (EXTRAAMAS 2021@AAMAS 2021) — Andrea Agiollo, Giovanni Ciatto, Andrea Omicini
- Graph Neural Networks as the Copula Mundi between Logic and Machine Learning: A Roadmap (WOA 2021) — Andrea Agiollo, Giovanni Ciatto, Andrea Omicini
- Region Merging Driven by Deep Learning for RGB-D Segmentation and Labeling (2019) — Umberto Michieli, Maria Camporese, Andrea Agiollo, Giampaolo Pagnutti, Pietro Zanuttigh
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