ALVA PRINCIPE RENZO ARTURO

Ruolo:
Assegnista di ricerca
Settore scientifico disciplinare:
Informatica (INFO-01/A)
Gruppo scientifico disciplinare:
INFORMATICA (01/INFO-01)

Pubblicazioni

  • (2025). The Long Document Representation and Processing Problem in the Era of the Transformer-Based Large Language Models. (Tesi di dottorato, , 2025). Dettaglio

  • Alva Principe, R., Chiarini, N., Viviani, M. (2025). Long Document Classification in the Transformer Era: A Survey on Challenges, Advances, and Open Issues. WILEY INTERDISCIPLINARY REVIEWS. DATA MINING AND KNOWLEDGE DISCOVERY, 15(2 (June 2025)) [10.1002/widm.70019]. Dettaglio

  • Agazzi, R., Alva Principe, R., Pozzi, R., Ripamonti, M., Palmonari, M. (2025). DAVE: A Framework for Assisted Analysis of Document Collections in Knowledge-Intensive Domains. In Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence Montreal, Canada 16-22 August 2025 (pp.10984-10988) [10.24963/ijcai.2025/1246]. Dettaglio

  • Pozzi, R., Barbera, V., Alva Principe, R., Giardini, D., Rubini, R., Palmonari, M. (2025). Combining Knowledge Graphs and NLP to Analyze Instant Messaging Data in Criminal Investigations. In Web Information Systems Engineering – WISE 2024 25th International Conference, Doha, Qatar, December 2–5, 2024, Proceedings, Part II (pp.427-442). Springer Science and Business Media Deutschland GmbH [10.1007/978-981-96-0567-5_30]. Dettaglio

  • Spahiu, B., Palmonari, M., Alva Principe, R., Rula, A. (2024). Understanding the structure of knowledge graphs with ABSTAT profiles. SEMANTIC WEB, 15(5 (October 2024)), 1519-1545 [10.3233/SW-223181]. Dettaglio