Andrea Agiollo

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Neural Architecture

Region Adjacency Graph

Symbolic Knowledge

Top Venues

Future Gener. Comput. Syst.

Auton. Agents Multi Agent Syst.

Publications

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) (2024)
Andrea Agiollo, Paolo Bellavista, Matteo Mendula, Andrea Omicini
EneA-FL: Energy-aware orchestration for serverless federated learning. Future Gener. Comput. Syst. 154 (2024)
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) (2024)
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)
Giovanni Ciatto, Andrea Agiollo, Matteo Magnini, Andrea Omicini
Large language models as oracles for instantiating ontologies with domain-specific knowledge. CoRR (2024)
Andrea Agiollo, Young In Kim, Rajiv Khanna
Approximating Memorization Using Loss Surface Geometry for Dataset Pruning and Summarization. KDD (2024)
Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Nicolò Dal Fabbro, Riccardo Lazzeretti
Anonymous Federated Learning via Named-Data Networking. Future Gener. Comput. Syst. 152 (2024)
Andrea Agiollo, Andrea Omicini
Measuring Trustworthiness in Neuro-Symbolic Integration. FedCSIS (2023)
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) (2023)
Mattia Passeri, Andrea Agiollo, Andrea Omicini
Peer-Reviewed Federated Learning. WOA (2023)
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)
Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Riccardo Lazzeretti, Eleonora Losiouk, Andrea Omicini
GNN4IFA: Interest Flooding Attack Detection With Graph Neural Networks. EuroS&P (2023)
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)
Andrea Agiollo, Andrea Omicini
GNN2GNN: Graph neural networks to generate neural networks. UAI (2022)
Andrea Agiollo, Andrea Rafanelli, Andrea Omicini
Towards quality-of-service metrics for symbolic knowledge injection. WOA (2022)
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) (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
Shallow2Deep: Restraining Neural Networks Opacity Through Neural Architecture Search. EXTRAAMAS@AAMAS (2021)
Umberto Michieli, Maria Camporese, Andrea Agiollo, Giampaolo Pagnutti, Pietro Zanuttigh
Region Merging Driven by Deep Learning for RGB-D Segmentation and Labeling. ICDSC (2019)