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ORCIDDomenico Mandaglio
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2020 – today
- 2024
[j5]Gianvincenzo Alfano
, Sergio Greco, Domenico Mandaglio, Francesco Parisi, Irina Trubitsyna:
Abstract argumentation frameworks with strong and weak constraints. Artif. Intell. 336: 104205 (2024)- [j4]Sergio Flesca, Domenico Mandaglio, Francesco Scala, Andrea Tagarelli:
A meta-active learning approach exploiting instance importance. Expert Syst. Appl. 247: 123320 (2024) - [j3]Francesco Gullo, Domenico Mandaglio, Andrea Tagarelli:
Neural discovery of balance-aware polarized communities. Mach. Learn. 113(9): 6611-6644 (2024) - [c13]Lucio La Cava, Domenico Mandaglio, Andrea Tagarelli:
Polarization in Decentralized Online Social Networks. WebSci 2024: 48-52 - [c12]Lorenzo Zangari, Domenico Mandaglio, Andrea Tagarelli:
Link Prediction on Multilayer Networks through Learning of Within-Layer and Across-Layer Node-Pair Structural Features and Node Embedding Similarity. WWW 2024: 924-935 - [i3]Gianvincenzo Alfano, Sergio Greco, Domenico Mandaglio, Francesco Parisi, Reza Shahbazian, Irina Trubitsyna:
Even-if Explanations: Formal Foundations, Priorities and Complexity. CoRR abs/2401.10938 (2024) - 2023
- [j2]Francesco Gullo, Domenico Mandaglio, Andrea Tagarelli:
A combinatorial multi-armed bandit approach to correlation clustering. Data Min. Knowl. Discov. 37(4): 1630-1691 (2023) - [c11]Gianvincenzo Alfano, Sergio Greco, Domenico Mandaglio, Francesco Parisi, Irina Trubitsyna:
On the Verification and Existence Problems in Epistemic Argumentation Framework. AI³@AI*IA 2023 - [c10]Gianvincenzo Alfano, Sergio Greco, Domenico Mandaglio, Francesco Parisi, Irina Trubitsyna:
Complexity of Verification and Existence Problems in Epistemic Argumentation Framework. ECAI 2023: 77-84 - [c9]Sergio Flesca, Domenico Mandaglio, Francesco Scala, Andrea Tagarelli:
A Meta-Active Learning Approach Exploiting Instance Importance based on Learning Gradient Variation. SEBD 2023: 535-544 - [i2]Lucio La Cava, Domenico Mandaglio, Andrea Tagarelli:
Polarization in Decentralized Online Social Networks. CoRR abs/2312.05668 (2023) - 2022
- [c8]Francesco Gullo, Lucio La Cava, Domenico Mandaglio, Andrea Tagarelli:
When Correlation Clustering Meets Fairness Constraints. DS 2022: 302-317 - [c7]Sergio Flesca, Domenico Mandaglio, Francesco Scala, Andrea Tagarelli:
Learning to Active Learn by Gradient Variation based on Instance Importance. ICPR 2022: 2224-2230 - [c6]Domenico Mandaglio, Andrea Tagarelli, Francesco Gullo:
Correlation Clustering: from Local to Global Constraints. SEBD 2022: 445-452 - 2021
- [c5]Domenico Mandaglio, Andrea Tagarelli, Francesco Gullo:
Correlation Clustering with Global Weight Bounds. ECML/PKDD (2) 2021: 499-515 - 2020
- [c4]Domenico Mandaglio, Andrea Tagarelli, Francesco Gullo:
In and Out: Optimizing Overall Interaction in Probabilistic Graphs under Clustering Constraints. KDD 2020: 1371-1381
2010 – 2019
- 2019
- [j1]Domenico Mandaglio, Andrea Tagarelli:
Generalized Preference Learning for Trust Network Inference. IEEE Access 7: 174583-174596 (2019) - [c3]Domenico Mandaglio, Andrea Tagarelli:
Dynamic consensus community detection and combinatorial multi-armed bandit. ASONAM 2019: 184-187 - [c2]Domenico Mandaglio, Andrea Tagarelli:
A Combinatorial Multi-Armed Bandit Based Method for Dynamic Consensus Community Detection in Temporal Networks. DS 2019: 412-427 - 2018
- [c1]Domenico Mandaglio, Alessia Amelio, Andrea Tagarelli:
Consensus Community Detection in Multilayer Networks Using Parameter-Free Graph Pruning. PAKDD (3) 2018: 193-205 - [i1]Domenico Mandaglio, Alessia Amelio, Andrea Tagarelli:
Consensus Community Detection in Multilayer Networks using Parameter-free Graph Pruning. CoRR abs/1804.06653 (2018)
Coauthor Index
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