Andrea Agiollo

26 papers A* 1A 2C 1Journal 12Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SoK: Harmonizing Attack Graphs and Intrusion Detection Systems. CoRR Andrea Agiollo, Enkeleda Bardhi, Alessandro Palma, Riccardo Lazzeretti, Silvia Bonomi, Fernando Kuipers
2025	J	`jnl`	Integrating Machine Learning into Belief-Desire-Intention Agents: Current Advances and Open Challenges. CoRR Andrea Agiollo, Andrea Omicini
2025	J	`jnl`	Large language models as oracles for instantiating ontologies with domain-specific knowledge. Knowl. Based Syst. Giovanni Ciatto, Andrea Agiollo, Matteo Magnini, Andrea Omicini
2025	—	`ed.`	Proceedings of the 1st International Workshop on Advanced Neuro-Symbolic Applications co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025), Bologna, Italy, October 26, 2025. ANSyA@ECAI Andrea Agiollo, Enkeleda Bardhi, Giovanni Ciatto, Sebastijan Dumancic, Giuseppe Marra
2025	J	`jnl`	SAMOSA: Sharpness Aware Minimization for Open Set Active learning. CoRR Young In Kim, Andrea Agiollo, Rajiv Khanna
2025	J	`jnl`	Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review. CoRR Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, Matteo Magnini, Andrea Omicini
2024	—	`conf`	An Empirical Study on the Robustness of Knowledge Injection Techniques Against Data Degradation. WOA Andrea Rafanelli, Matteo Magnini, Andrea Agiollo, Giovanni Ciatto, Andrea Omicini
2024	J	`jnl`	Anonymous Federated Learning via Named-Data Networking. Future Gener. Comput. Syst. Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Nicolò Dal Fabbro, Riccardo Lazzeretti
2024	A*	`conf`	Approximating Memorization Using Loss Surface Geometry for Dataset Pruning and Summarization. KDD Andrea Agiollo, Young In Kim, Rajiv Khanna
2024	—	`—`	Embedding AI into constrained devices: a multi-faceted approach. Andrea Agiollo
2024	J	`jnl`	EneA-FL: Energy-aware orchestration for serverless federated learning. Future Gener. Comput. Syst. Andrea Agiollo, Paolo Bellavista, Matteo Mendula, Andrea Omicini
2024	J	`jnl`	From large language models to small logic programs: building global explanations from disagreeing local post-hoc explainers. Auton. Agents Multi Agent Syst. Andrea Agiollo, Luciano Cavalcante Siebert, Pradeep K. Murukannaiah, Andrea Omicini
2024	J	`jnl`	Large language models as oracles for instantiating ontologies with domain-specific knowledge. CoRR Giovanni Ciatto, Andrea Agiollo, Matteo Magnini, Andrea Omicini
2024	J	`jnl`	Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review. ACM Comput. Surv. Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, Matteo Magnini, Andrea Omicini
2023	—	`conf`	DETONAR-Light: An IoT Network Intrusion Detection Using DETONAR without a Sniffer Network. ESORICS Workshops (2) Victoria Bull, Niclas Finne, Andrea Agiollo, Pallavi Kaliyar, Luca Pajola, Thiemo Voigt, Mauro Conti
2023	A	`conf`	GNN4IFA: Interest Flooding Attack Detection With Graph Neural Networks. EuroS&P Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Riccardo Lazzeretti, Eleonora Losiouk, Andrea Omicini
2023	C	`conf`	Measuring Trustworthiness in Neuro-Symbolic Integration. FedCSIS Andrea Agiollo, Andrea Omicini
2023	—	`conf`	Peer-Reviewed Federated Learning. WOA Mattia Passeri, Andrea Agiollo, Andrea Omicini
2023	J	`jnl`	Symbolic knowledge injection meets intelligent agents: QoS metrics and experiments. Auton. Agents Multi Agent Syst. Andrea Agiollo, Andrea Rafanelli, Matteo Magnini, Giovanni Ciatto, Andrea Omicini
2023	—	`conf`	The Quarrel of Local Post-hoc Explainers for Moral Values Classification in Natural Language Processing. EXTRAAMAS Andrea Agiollo, Luciano Cavalcante Siebert, Pradeep Kumar Murukannaiah, Andrea Omicini
2022	A	`conf`	GNN2GNN: Graph neural networks to generate neural networks. UAI Andrea Agiollo, Andrea Omicini
2022	—	`conf`	Towards quality-of-service metrics for symbolic knowledge injection. WOA Andrea Agiollo, Andrea Rafanelli, Andrea Omicini
2021	J	`jnl`	DETONAR: Detection of Routing Attacks in RPL-Based IoT. IEEE Trans. Netw. Serv. Manag. Andrea Agiollo, Mauro Conti, Pallavi Kaliyar, Tsung-Nan Lin, Luca Pajola
2021	—	`conf`	Graph Neural Networks as the Copula Mundi between Logic and Machine Learning: a Roadmap. WOA Andrea Agiollo, Giovanni Ciatto, Andrea Omicini
2021	—	`conf`	Shallow2Deep: Restraining Neural Networks Opacity Through Neural Architecture Search. EXTRAAMAS@AAMAS Andrea Agiollo, Giovanni Ciatto, Andrea Omicini
2019	—	`conf`	Region Merging Driven by Deep Learning for RGB-D Segmentation and Labeling. ICDSC Umberto Michieli, Maria Camporese, Andrea Agiollo, Giampaolo Pagnutti, Pietro Zanuttigh