Domenico Mandaglio

Orcid: 0000-0002-8506-1974

According to our database1, Domenico Mandaglio authored at least 28 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Polarized Communities Meet Densest Subgraph: Efficient and Effective Polarization Detection in Signed Networks.
ACM Trans. Knowl. Discov. Data, February, 2026

Heuristic-informed mixture of experts for link prediction in multilayer networks.
Inf. Sci., 2026

Preface to the WSDM 2026 Workshops Companion Volume.
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Conditional Probabilistic Bipolar Argumentation Framework: Explanations, Complexity and Approximation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Decentralized federated learning meets Physics-Informed Neural Networks.
Knowl. Based Syst., 2025

Enhancing active learning through latent space exploration: A k-nearest neighbors approach.
Array, 2025

Discovering Balance-Aware Polarized Communities in Signed Networks with Graph Neural Networks.
Proceedings of the 33nd Symposium on Advanced Database Systems, 2025

Theoretical basis and computational complexity of semifactual explanations.
Proceedings of the Joint Proceedings of the Thematic Workshops at Ital-IA 2025 colocated with the 5th National Conference on Artificial Intelligence, 2025

Correlation Clustering with Fairness Constraints.
Proceedings of the 2nd Workshop on Green-Aware Artificial Intelligence (Green-Aware AI@ECAI 2025) co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025), 2025

Even-if Explanations: Formal Foundations, Priorities and Complexity.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Neural discovery of balance-aware polarized communities.
Mach. Learn., September, 2024

A meta-active learning approach exploiting instance importance.
Expert Syst. Appl., 2024

Abstract argumentation frameworks with strong and weak constraints.
Artif. Intell., 2024

Link Prediction on Multilayer Networks through Learning of Within-Layer and Across-Layer Node-Pair Structural Features and Node Embedding Similarity.
Proceedings of the ACM on Web Conference 2024, 2024

Polarization in Decentralized Online Social Networks.
Proceedings of the 16th ACM Web Science Conference, 2024

2023
A combinatorial multi-armed bandit approach to correlation clustering.
Data Min. Knowl. Discov., 2023

A Meta-Active Learning Approach Exploiting Instance Importance based on Learning Gradient Variation.
Proceedings of the 31st Symposium of Advanced Database Systems, 2023

Complexity of Verification and Existence Problems in Epistemic Argumentation Framework.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

On the Verification and Existence Problems in Epistemic Argumentation Framework.
Proceedings of the 7th Workshop on Advances in Argumentation in Artificial Intelligence (AI^3 2023) co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), 2023

2022
Correlation Clustering: from Local to Global Constraints.
Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

Learning to Active Learn by Gradient Variation based on Instance Importance.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

When Correlation Clustering Meets Fairness Constraints.
Proceedings of the Discovery Science - 25th International Conference, 2022

2021
Correlation Clustering with Global Weight Bounds.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020
In and Out: Optimizing Overall Interaction in Probabilistic Graphs under Clustering Constraints.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
Generalized Preference Learning for Trust Network Inference.
IEEE Access, 2019

A Combinatorial Multi-Armed Bandit Based Method for Dynamic Consensus Community Detection in Temporal Networks.
Proceedings of the Discovery Science - 22nd International Conference, 2019

Dynamic consensus community detection and combinatorial multi-armed bandit.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018
Consensus Community Detection in Multilayer Networks Using Parameter-Free Graph Pruning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018


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