Per anno

15 pubblicazioni / 2019–2024 / Andrea Agiollo

2024 • 2023 • 2022 • 2021 • 2019

Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review (ACM Computing Surveys) — Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, Matteo Magnini, Andrea Omicini
Anonymous Federated Learning via Named-Data Networking (Future Generation Computer Systems) — Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Nicolò Dal Fabbro, Riccardo Lazzeretti
EneA-FL: Energy-aware Orchestration for Serverless Federated Learning (Future Generation Computer Systems) — Andrea Agiollo, Paolo Bellavista, Matteo Mendula, Andrea Omicini

3 pubblicazioni / 2024 • in cima • indice • in fondo

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

5 pubblicazioni / 2023 • in cima • indice • in fondo

2 pubblicazioni / 2022 • in cima • indice • in fondo

4 pubblicazioni / 2021 • in cima • indice • in fondo

Region Merging Driven by Deep Learning for RGB-D Segmentation and Labeling (articolo in atti) — Umberto Michieli, Maria Camporese, Andrea Agiollo, Giampaolo Pagnutti, Pietro Zanuttigh

1 pubblicazione / 2019 • in cima • indice • in fondo