Per Sort
- Large language models as oracles for instantiating ontologies with domain-specific knowledge (Knowledge-Based Systems, 2025) — Giovanni Ciatto, Andrea Agiollo, Matteo Magnini, Andrea Omicini
- Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review (ACM Computing Surveys, 2024) — 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, 2024) — Andrea Agiollo, Luciano Cavalcante Siebert, Pradeep Kumar Murukannaiah, Andrea Omicini
- Anonymous Federated Learning via Named-Data Networking (Future Generation Computer Systems, 2024) — Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Nicolò Dal Fabbro, Riccardo Lazzeretti
- EneA-FL: Energy-aware Orchestration for Serverless Federated Learning (Future Generation Computer Systems, 2024) — Andrea Agiollo, Paolo Bellavista, Matteo Mendula, Andrea Omicini
- Symbolic Knowledge Injection meets Intelligent Agents: QoS metrics and experiments (Autonomous Agents and Multi-Agent Systems, 2023) — Andrea Agiollo, Andrea Rafanelli, Matteo Magnini, Giovanni Ciatto, Andrea Omicini
- Load Classification: A Case Study for Applying Neural Networks in Hyper-Constrained Embedded Devices (Applied Sciences, 2021) — Andrea Agiollo, Andrea Omicini
- DETONAR: Detection of Routing Attacks in RPL-based IoT (2021) — Andrea Agiollo, Mauro Conti, Pallavi Kaliyar, TsungNan Lin, Luca Pajola
- 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
- 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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