Consensus Community Detection in Multilayer Networks Using Parameter-Free Graph Pruning. - Domenico Mandaglio; Alessia Amelio; Andrea Tagarelli (PAKDD (3), 2018)

Dynamic consensus community detection and combinatorial multi-armed bandit. - Domenico Mandaglio; Andrea Tagarelli (ASONAM, 2019)

A Combinatorial Multi-Armed Bandit Based Method for Dynamic Consensus Community Detection in Temporal Networks. - Domenico Mandaglio; Andrea Tagarelli (DS, 2019)

Generalized Preference Learning for Trust Network Inference. - Domenico Mandaglio; Andrea Tagarelli (IEEE Access, 2019)

In and Out: Optimizing Overall Interaction in Probabilistic Graphs under Clustering Constraints. - Domenico Mandaglio; Andrea Tagarelli; Francesco Gullo (KDD, 2020)

Correlation Clustering with Global Weight Bounds. - Domenico Mandaglio; Andrea Tagarelli; Francesco Gullo (ECML/PKDD (2), 2021)

When Correlation Clustering Meets Fairness Constraints. - Francesco Gullo; Lucio La Cava; Domenico Mandaglio; Andrea Tagarelli (DS, 2022)

Learning to Active Learn by Gradient Variation based on Instance Importance. - Sergio Flesca; Domenico Mandaglio; Francesco Scala; Andrea Tagarelli (ICPR, 2022)

Correlation Clustering: from Local to Global Constraints. - Domenico Mandaglio; Andrea Tagarelli; Francesco Gullo (SEBD, 2022)

On the Verification and Existence Problems in Epistemic Argumentation Framework. - Gianvincenzo Alfano; Sergio Greco; Domenico Mandaglio; Francesco Parisi; Irina Trubitsyna (AI³@AI*IA, 2023)

Complexity of Verification and Existence Problems in Epistemic Argumentation Framework. - Gianvincenzo Alfano; Sergio Greco; Domenico Mandaglio; Francesco Parisi; Irina Trubitsyna (ECAI, 2023)

A Meta-Active Learning Approach Exploiting Instance Importance based on Learning Gradient Variation. - Sergio Flesca; Domenico Mandaglio; Francesco Scala; Andrea Tagarelli (SEBD, 2023)

A combinatorial multi-armed bandit approach to correlation clustering. - Francesco Gullo; Domenico Mandaglio; Andrea Tagarelli (Data Min. Knowl. Discov., 2023)

Polarization in Decentralized Online Social Networks. - Lucio La Cava; Domenico Mandaglio; Andrea Tagarelli (WebSci, 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 (WWW, 2024)

Abstract argumentation frameworks with strong and weak constraints. - Gianvincenzo Alfano; Sergio Greco; Domenico Mandaglio; Francesco Parisi; Irina Trubitsyna (Artif. Intell., 2024)

A meta-active learning approach exploiting instance importance. - Sergio Flesca; Domenico Mandaglio; Francesco Scala; Andrea Tagarelli (Expert Syst. Appl., 2024)

Neural discovery of balance-aware polarized communities. - Francesco Gullo; Domenico Mandaglio; Andrea Tagarelli (Mach. Learn., 2024)

Even-if Explanations: Formal Foundations, Priorities and Complexity. - Gianvincenzo Alfano; Sergio Greco; Domenico Mandaglio; Francesco Parisi; Reza Shahbazian; Irina Trubitsyna (AAAI, 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)

Heuristic-Informed Mixture of Experts for Link Prediction in Multilayer Networks. - Lucio La Cava; Domenico Mandaglio; Lorenzo Zangari; Andrea Tagarelli (CoRR, 2025)