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2020 – today
- 2024
[j6]Andrea Agiollo, Luciano Cavalcante Siebert
, Pradeep K. Murukannaiah, Andrea Omicini:
From large language models to small logic programs: building global explanations from disagreeing local post-hoc explainers. Auton. Agents Multi Agent Syst. 38(2): 32 (2024)- [j5]Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, Matteo Magnini, Andrea Omicini:
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review. ACM Comput. Surv. 56(6): 161:1-161:35 (2024) - [j4]Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Nicolò Dal Fabbro, Riccardo Lazzeretti:
Anonymous Federated Learning via Named-Data Networking. Future Gener. Comput. Syst. 152: 288-303 (2024) - [j3]Andrea Agiollo, Paolo Bellavista, Matteo Mendula, Andrea Omicini:
EneA-FL: Energy-aware orchestration for serverless federated learning. Future Gener. Comput. Syst. 154: 219-234 (2024) - [c12]Andrea Agiollo, Young In Kim, Rajiv Khanna:
Approximating Memorization Using Loss Surface Geometry for Dataset Pruning and Summarization. KDD 2024: 17-28 - [c11]Andrea Rafanelli, Matteo Magnini, Andrea Agiollo, Giovanni Ciatto, Andrea Omicini:
An Empirical Study on the Robustness of Knowledge Injection Techniques Against Data Degradation. WOA 2024: 20-32 - [i1]Giovanni Ciatto, Andrea Agiollo, Matteo Magnini, Andrea Omicini:
Large language models as oracles for instantiating ontologies with domain-specific knowledge. CoRR abs/2404.04108 (2024) - 2023
- [j2]Andrea Agiollo, Andrea Rafanelli, Matteo Magnini, Giovanni Ciatto, Andrea Omicini:
Symbolic knowledge injection meets intelligent agents: QoS metrics and experiments. Auton. Agents Multi Agent Syst. 37(2): 27 (2023) - [c10]Victoria Bull, Niclas Finne, Andrea Agiollo, Pallavi Kaliyar, Luca Pajola, Thiemo Voigt, Mauro Conti:
DETONAR-Light: An IoT Network Intrusion Detection Using DETONAR without a Sniffer Network. ESORICS Workshops (2) 2023: 198-213 - [c9]Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Riccardo Lazzeretti, Eleonora Losiouk, Andrea Omicini:
GNN4IFA: Interest Flooding Attack Detection With Graph Neural Networks. EuroS&P 2023: 615-630 - [c8]Andrea Agiollo, Luciano Cavalcante Siebert, Pradeep Kumar Murukannaiah, Andrea Omicini:
The Quarrel of Local Post-hoc Explainers for Moral Values Classification in Natural Language Processing. EXTRAAMAS 2023: 97-115 - [c7]Andrea Agiollo, Andrea Omicini:
Measuring Trustworthiness in Neuro-Symbolic Integration. FedCSIS 2023: 1-10 - [c6]Mattia Passeri, Andrea Agiollo, Andrea Omicini:
Peer-Reviewed Federated Learning. WOA 2023: 49-65 - 2022
- [c5]Andrea Agiollo, Andrea Omicini:
GNN2GNN: Graph neural networks to generate neural networks. UAI 2022: 32-42 - [c4]Andrea Agiollo, Andrea Rafanelli, Andrea Omicini:
Towards quality-of-service metrics for symbolic knowledge injection. WOA 2022: 30-47 - 2021
- [j1]Andrea Agiollo, Mauro Conti, Pallavi Kaliyar, Tsung-Nan Lin, Luca Pajola:
DETONAR: Detection of Routing Attacks in RPL-Based IoT. IEEE Trans. Netw. Serv. Manag. 18(2): 1178-1190 (2021) - [c3]Andrea Agiollo, Giovanni Ciatto, Andrea Omicini:
Shallow2Deep: Restraining Neural Networks Opacity Through Neural Architecture Search. EXTRAAMAS@AAMAS 2021: 63-82 - [c2]Andrea Agiollo, Giovanni Ciatto, Andrea Omicini:
Graph Neural Networks as the Copula Mundi between Logic and Machine Learning: a Roadmap. WOA 2021: 98-115
2010 – 2019
- 2019
- [c1]Umberto Michieli, Maria Camporese, Andrea Agiollo, Giampaolo Pagnutti, Pietro Zanuttigh:
Region Merging Driven by Deep Learning for RGB-D Segmentation and Labeling. ICDSC 2019: 9:1-9:6
Coauthor Index
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