| DETONAR: Detection of routing attacks in RPL-based IoT A Agiollo, M Conti, P Kaliyar, TN Lin, L Pajola IEEE transactions on network and service management 18 (2), 1178-1190, 2021 | 90 | 2021 |
| GNN4IFA: Interest flooding attack detection with graph neural networks A Agiollo, E Bardhi, M Conti, R Lazzeretti, E Losiouk, A Omicini 2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P), 615-630, 2023 | 12 | 2023 |
| GNN2GNN: Graph neural networks to generate neural networks A Agiollo, A Omicini Uncertainty in Artificial Intelligence, 32-42, 2022 | 12 | 2022 |
| Shallow2Deep: Restraining Neural Networks Opacity Through Neural Architecture Search A Agiollo, G Ciatto, A Omicini International Workshop on Explainable, Transparent Autonomous Agents and …, 2021 | 12 | 2021 |
| Towards quality-of-service metrics for symbolic knowledge injection A Agiollo, A Rafanelli, A Omicini CEUR WORKSHOP PROCEEDINGS 3261, 30-47, 2022 | 9 | 2022 |
| Load classification: A case study for applying neural networks in hyper-constrained embedded devices A Agiollo, A Omicini Applied Sciences 11 (24), 11957, 2021 | 9 | 2021 |
| Symbolic knowledge extraction and injection with sub-symbolic predictors: A systematic literature review G Ciatto, F Sabbatini, A Agiollo, M Magnini, A Omicini ACM Computing Surveys 56 (6), 1-35, 2024 | 8 | 2024 |
| Symbolic knowledge injection meets intelligent agents: QoS metrics and experiments A Agiollo, A Rafanelli, M Magnini, G Ciatto, A Omicini Autonomous Agents and Multi-Agent Systems 37 (2), 27, 2023 | 7 | 2023 |
| Graph neural networks as the copula mundi between logic and machine learning: a roadmap A Agiollo, G Ciatto, A Omicini CEUR WORKSHOP PROCEEDINGS 2963, 98-115, 2021 | 5 | 2021 |
| The quarrel of local post-hoc explainers for moral values classification in natural language processing A Agiollo, L Cavalcante Siebert, PK Murukannaiah, A Omicini International Workshop on Explainable, Transparent Autonomous Agents and …, 2023 | 4 | 2023 |
| EneA-FL: Energy-aware orchestration for serverless federated learning A Agiollo, P Bellavista, M Mendula, A Omicini Future Generation Computer Systems 154, 219-234, 2024 | 3 | 2024 |
| Large language models as oracles for instantiating ontologies with domain-specific knowledge G Ciatto, A Agiollo, M Magnini, A Omicini arXiv preprint arXiv:2404.04108, 2024 | 3 | 2024 |
| Anonymous federated learning via named-data networking A Agiollo, E Bardhi, M Conti, N Dal Fabbro, R Lazzeretti Future Generation Computer Systems 152, 288-303, 2024 | 3 | 2024 |
| Measuring Trustworthiness in Neuro-Symbolic Integration A Agiollo, A Omicini 2023 18th Conference on Computer Science and Intelligence Systems (FedCSIS …, 2023 | 3 | 2023 |
| Region Merging Driven by Deep Learning for RGB-D Segmentation and Labeling U Michieli, M Camporese, A Agiollo, G Pagnutti, P Zanuttigh Proceedings of the 13th International Conference on Distributed Smart …, 2019 | 3 | 2019 |
| From large language models to small logic programs: building global explanations from disagreeing local post-hoc explainers A Agiollo, LC Siebert, PK Murukannaiah, A Omicini Autonomous Agents and Multi-Agent Systems 38 (2), 32, 2024 | | 2024 |
| Approximating Memorization Using Loss Surface Geometry for Dataset Pruning and Summarization A Agiollo, YI Kim, R Khanna Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
| Embedding AI into constrained devices: a multi-faceted approach A Agiollo alma, 2024 | | 2024 |
| An Empirical Study on the Robustness of Knowledge Injection Techniques Against Data Degradation A Rafanelli, M Magnini, A Agiollo, G Ciatto, A Omicini CEUR WORKSHOP PROCEEDINGS 3735, 20-32, 2024 | | 2024 |
| DETONAR-Light: An IoT Network Intrusion Detection Using DETONAR without a Sniffer Network V Bull, N Finne, A Agiollo, P Kaliyar, L Pajola, T Voigt, M Conti European Symposium on Research in Computer Security, 198-213, 2023 | | 2023 |
Andrea OMICINIDepartment of Computer Science & Engineering, Alma Mater Studiorum-Università di BolognaVerified email at unibo.it
