Publications

2025

  1. AAAI
    Even-if Explanations: Formal Foundations, Priorities and Complexity
    Gianvincenzo Alfano, Sergio Greco, Domenico Mandaglio, Francesco Parisi, Reza Shahbazian, and Irina Trubitsyna
    In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025
    PDF

2024

  1. AIJ
    Abstract argumentation frameworks with strong and weak constraints
    Gianvincenzo Alfano, Sergio Greco, Domenico Mandaglio, Francesco Parisi, and Irina Trubitsyna
    Artificial Intelligence (AIJ), 2024
    PDF
  2. MACH
    Neural Discovery of Balance-aware Polarized Communities
    Francesco Gullo, Domenico Mandaglio, and Andrea Tagarelli
    Machine Learning (MACH), 2024
    PDF Code
  3. WebSci
    Polarization in Decentralized Online Social Networks
    Lucio La Cava, Domenico Mandaglio, and Andrea Tagarelli
    In Proceedings of the ACM Web Science Conference (WebSci), 2024
    PDF
  4. WWW
    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, and Andrea Tagarelli
    In Proceedings of the ACM Web Conference (WWW), 2024
    PDF Code Poster
  5. ESWA
    A meta-active learning approach exploiting instance importance
    Sergio Flesca, Domenico Mandaglio, Francesco Scala, and Andrea Tagarelli
    Expert Systems with Applications (ESWA), 2024
    PDF

2023

  1. ECAI
    Complexity of verification and existence problems in epistemic argumentation framework
    Alfano Gianvincenzo, Greco Sergio, Mandaglio Domenico, Parisi Francesco, and Trubitsyna Irina
    In Proceedings of the European Conference on Artificial Intelligence (ECAI), 2023
    PDF
  2. AI^3
    On the Verification and Existence Problems in Epistemic Argumentation Framework
    Gianvincenzo Alfano, Sergio Greco, Domenico Mandaglio, Francesco Parisi, and Irina Trubitsyna
    In Proceedings of the 7th Workshop on Advances in Argumentation in Artificial Intelligence (AI^3), 2023
    PDF
  3. SEBD
    A Meta-Active Learning Approach Exploiting Instance Importance based on Learning Gradient Variation
    Sergio Flesca, Domenico Mandaglio, Francesco Scala, and Andrea Tagarelli
    In Proceedings of the 31th Italian Symposium on Advanced Database Systems (SEBD), 2023
    PDF
  4. DAMI
    A Combinatorial Multi-Armed Bandit Approach to Correlation Clustering
    Francesco Gullo, Domenico Mandaglio, and Andrea Tagarelli
    Data Mining and Knowledge Discovery (DAMI), 2023
    PDF Code Slides

2022

  1. DS
    When Correlation Clustering Meets Fairness Constraints
    Francesco Gullo, Lucio La Cava, Domenico Mandaglio, and Andrea Tagarelli
    In International Conference on Discovery Science (DS), 2022
    PDF Code Slides
  2. ICPR
    Learning to Active Learn by Gradient Variation Based on Instance Importance
    Sergio Flesca, Domenico Mandaglio, Francesco Scala, and Andrea Tagarelli
    In Proceedings of the International Conference on Pattern Recognition (ICPR), 2022
    PDF Code Poster
  3. SEBD
    Correlation Clustering: from Local to Global Constraints
    Domenico Mandaglio, Andrea Tagarelli, and Francesco Gullo
    In Proceedings of the 30th Italian Symposium on Advanced Database Systems (SEBD), 2022
    PDF Slides

2021

  1. ECML-PKDD
    Correlation Clustering with Global Weight Bounds
    Domenico Mandaglio, Andrea Tagarelli, and Francesco Gullo
    In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2021
    PDF Code Poster Slides

2020

  1. KDD
    In and Out: Optimizing Overall Interaction in Probabilistic Graphs under Clustering Constraints
    Domenico Mandaglio, Andrea Tagarelli, and Francesco Gullo
    In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2020
    PDF Code Slides

2019

  1. ASONAM
    Dynamic consensus community detection and combinatorial multi-armed bandit
    Domenico Mandaglio, and Andrea Tagarelli
    In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2019
    PDF Slides
  2. DS
    A Combinatorial Multi-Armed Bandit Based Method for Dynamic Consensus Community Detection in Temporal Networks
    Domenico Mandaglio, and Andrea Tagarelli
    In International Conference on Discovery Science (DS), 2019
    PDF Slides
  3. IEEE Access
    Generalized Preference Learning for Trust Network Inference
    Domenico Mandaglio, and Andrea Tagarelli
    IEEE Access, 2019
    PDF

2018

  1. PAKDD
    Consensus Community Detection in Multilayer Networks Using Parameter-Free Graph Pruning
    Domenico Mandaglio, Alessia Amelio, and Andrea Tagarelli
    In Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2018
    PDF