Domenico Mandaglio

According to our database, Domenico Mandaglio authored at least 21 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Heuristic-Informed Mixture of Experts for Link Prediction in Multilayer Networks.

Lucio La Cava, Domenico Mandaglio, Lorenzo Zangari, Andrea Tagarelli

CoRR, January, 2025

Decentralized federated learning meets Physics-Informed Neural Networks.

Gianvincenzo Alfano, Sergio Greco, Domenico Mandaglio, Francesco Parisi, Reza Shahbazian, Irina Trubitsyna

Knowl. Based Syst., 2025

Even-if Explanations: Formal Foundations, Priorities and Complexity.

Gianvincenzo Alfano, Sergio Greco, Domenico Mandaglio, Francesco Parisi, Reza Shahbazian, Irina Trubitsyna

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Neural discovery of balance-aware polarized communities.

Francesco Gullo, Domenico Mandaglio, Andrea Tagarelli

Mach. Learn., September, 2024

A meta-active learning approach exploiting instance importance.

Sergio Flesca, Domenico Mandaglio, Francesco Scala, Andrea Tagarelli

Expert Syst. Appl., 2024

Abstract argumentation frameworks with strong and weak constraints.

Gianvincenzo Alfano, Sergio Greco, Domenico Mandaglio, Francesco Parisi, Irina Trubitsyna

Artif. Intell., 2024

Link Prediction on Multilayer Networks through Learning of Within-Layer and Across-Layer Node-Pair Structural Features and Node Embedding Similarity.

Lorenzo Zangari, Domenico Mandaglio, Andrea Tagarelli

Proceedings of the ACM on Web Conference 2024, 2024

Polarization in Decentralized Online Social Networks.

Lucio La Cava, Domenico Mandaglio, Andrea Tagarelli

Proceedings of the 16th ACM Web Science Conference, 2024

2023

A combinatorial multi-armed bandit approach to correlation clustering.

Francesco Gullo, Domenico Mandaglio, Andrea Tagarelli

Data Min. Knowl. Discov., 2023

A Meta-Active Learning Approach Exploiting Instance Importance based on Learning Gradient Variation.

Sergio Flesca, Domenico Mandaglio, Francesco Scala, Andrea Tagarelli

Proceedings of the 31st Symposium of Advanced Database Systems, 2023

Complexity of Verification and Existence Problems in Epistemic Argumentation Framework.

Gianvincenzo Alfano, Sergio Greco, Domenico Mandaglio, Francesco Parisi, Irina Trubitsyna

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.

Gianvincenzo Alfano, Sergio Greco, Domenico Mandaglio, Francesco Parisi, Irina Trubitsyna

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.

Domenico Mandaglio, Andrea Tagarelli, Francesco Gullo

Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

Learning to Active Learn by Gradient Variation based on Instance Importance.

Sergio Flesca, Domenico Mandaglio, Francesco Scala, Andrea Tagarelli

Proceedings of the 26th International Conference on Pattern Recognition, 2022

When Correlation Clustering Meets Fairness Constraints.

Francesco Gullo, Lucio La Cava, Domenico Mandaglio, Andrea Tagarelli

Proceedings of the Discovery Science - 25th International Conference, 2022

2021

Correlation Clustering with Global Weight Bounds.

Domenico Mandaglio, Andrea Tagarelli, Francesco Gullo

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.

Domenico Mandaglio, Andrea Tagarelli, Francesco Gullo

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.

Domenico Mandaglio, Andrea Tagarelli

IEEE Access, 2019

A Combinatorial Multi-Armed Bandit Based Method for Dynamic Consensus Community Detection in Temporal Networks.

Domenico Mandaglio, Andrea Tagarelli

Proceedings of the Discovery Science - 22nd International Conference, 2019

Dynamic consensus community detection and combinatorial multi-armed bandit.

Domenico Mandaglio, Andrea Tagarelli

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.

Domenico Mandaglio, Alessia Amelio, Andrea Tagarelli

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018