Per tipo

15 pubblicazioni / Andrea Agiollo

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
Anonymous Federated Learning via Named-Data Networking (Future Generation Computer Systems, 2024) — Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Nicolò Dal Fabbro, Riccardo Lazzeretti
EneA-FL: Energy-aware Orchestration for Serverless Federated Learning (Future Generation Computer Systems, 2024) — Andrea Agiollo, Paolo Bellavista, Matteo Mendula, 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
Load Classification: A Case Study for Applying Neural Networks in Hyper-Constrained Embedded Devices (Applied Sciences, 2021) — Andrea Agiollo, Andrea Omicini
DETONAR: Detection of Routing Attacks in RPL-based IoT (2021) — Andrea Agiollo, Mauro Conti, Pallavi Kaliyar, TsungNan Lin, Luca Pajola

6 articoli in rivista • 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
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
Graph Neural Networks as the Copula Mundi between Logic and Machine Learning: A Roadmap (WOA 2021) — Andrea Agiollo, Giovanni Ciatto, Andrea Omicini
Region Merging Driven by Deep Learning for RGB-D Segmentation and Labeling (2019) — Umberto Michieli, Maria Camporese, Andrea Agiollo, Giampaolo Pagnutti, Pietro Zanuttigh

9 articoli in atti • in cima • indice • in fondo