Andrea Agiollo

Orcid: 0000-0003-0531-1978

According to our database1, Andrea Agiollo authored at least 19 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
From large language models to small logic programs: building global explanations from disagreeing local post-hoc explainers.
Auton. Agents Multi Agent Syst., December, 2024

Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review.
ACM Comput. Surv., June, 2024

Anonymous Federated Learning via Named-Data Networking.
Future Gener. Comput. Syst., March, 2024

EneA-FL: Energy-aware orchestration for serverless federated learning.
Future Gener. Comput. Syst., 2024

Large language models as oracles for instantiating ontologies with domain-specific knowledge.
CoRR, 2024

An Empirical Study on the Robustness of Knowledge Injection Techniques Against Data Degradation.
Proceedings of the 25th Workshop "From Objects to Agents", 2024

Approximating Memorization Using Loss Surface Geometry for Dataset Pruning and Summarization.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
Symbolic knowledge injection meets intelligent agents: QoS metrics and experiments.
Auton. Agents Multi Agent Syst., October, 2023

Peer-Reviewed Federated Learning.
Proceedings of the 24th Workshop "From Objects to Agents", 2023

Measuring Trustworthiness in Neuro-Symbolic Integration.
Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

The Quarrel of Local Post-hoc Explainers for Moral Values Classification in Natural Language Processing.
Proceedings of the Explainable and Transparent AI and Multi-Agent Systems, 2023

GNN4IFA: Interest Flooding Attack Detection With Graph Neural Networks.
Proceedings of the 8th IEEE European Symposium on Security and Privacy, 2023

DETONAR-Light: An IoT Network Intrusion Detection Using DETONAR without a Sniffer Network.
Proceedings of the Computer Security. ESORICS 2023 International Workshops, 2023

2022
Towards quality-of-service metrics for symbolic knowledge injection.
Proceedings of the 23rd Workshop "From Objects to Agents", 2022

GNN2GNN: Graph neural networks to generate neural networks.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021
DETONAR: Detection of Routing Attacks in RPL-Based IoT.
IEEE Trans. Netw. Serv. Manag., 2021

Graph Neural Networks as the Copula Mundi between Logic and Machine Learning: a Roadmap.
Proceedings of the 22nd Workshop "From Objects to Agents", 2021

Shallow2Deep: Restraining Neural Networks Opacity Through Neural Architecture Search.
Proceedings of the Explainable and Transparent AI and Multi-Agent Systems, 2021

2019
Region Merging Driven by Deep Learning for RGB-D Segmentation and Labeling.
Proceedings of the 13th International Conference on Distributed Smart Cameras, 2019


  Loading...