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2020 – today
- 2026
[j4]Alessia Amelio, Christopher Buratti
, Michele Marchetti, Davide Traini, Domenico Ursino, Luca Virgili:
Exploiting knowledge graph communities to fine-tune large language models. Expert Syst. Appl. 298: 129816 (2026)- 2025
- [j3]Francesco Cauteruccio, Michele Marchetti, Davide Traini, Domenico Ursino, Luca Virgili:
Adaptive patch selection to improve Vision Transformers through Reinforcement Learning. Appl. Intell. 55(7): 607 (2025) - [j2]Michele Marchetti, Davide Traini, Domenico Ursino, Luca Virgili:
Efficient token pruning in Vision Transformers using an attention-based Multilayer Network. Expert Syst. Appl. 279: 127449 (2025) - [j1]Michele Marchetti, Davide Traini, Domenico Ursino, Luca Virgili:
Multiplex network-based representation of vision transformers for visual explainability. Neural Comput. Appl. 37(29): 24385-24420 (2025) - [c4]Michele Marchetti, Davide Traini, Domenico Ursino, Luca Virgili:
Explaining Vision Transformers Through Similarity-based Graphs. IJCNN 2025: 1-7 - [c3]Michele Marchetti, Davide Traini, Domenico Ursino, Luca Virgili:
Integrating Gradient and Mask-based Approaches for Vision Transformer Explainability. IJCNN 2025: 1-8 - [c2]Gianluca Bonifazi, Christopher Buratti, Michele Marchetti, Federica Parlapiano, Davide Traini, Domenico Ursino, Luca Virgili:
Are Large Language Models Better Peer‑Reviewers Than Humans? An Early Investigation on OpenReview. ITADATA-WS 2025 - 2024
- [c1]Francesco Cauteruccio, Michele Marchetti, Davide Traini, Domenico Ursino, Luca Virgili:
Speeding up Vision Transformers Through Reinforcement Learning. SEBD 2024: 174-184
Coauthor Index
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