co-author : 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

EneA-FL: Energy-aware Orchestration for Serverless Federated Learning (Future Generation Computer Systems, 2024) — Andrea Agiollo, Paolo Bellavista, Matteo Mendula, 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

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

GNN4IFA: Interest Flooding Attack Detection With Graph Neural Networks (EuroS&P 2023) — Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Riccardo Lazzeretti, Eleonora Losiouk, 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

Load Classification: A Case Study for Applying Neural Networks in Hyper-Constrained Embedded Devices (Applied Sciences, 2021) — Andrea Agiollo, Andrea Omicini

Graph Neural Networks as the Copula Mundi between Logic and Machine Learning: A Roadmap (WOA 2021) — Andrea Agiollo, Giovanni Ciatto, Andrea Omicini