ALVA PRINCIPE RENZO ARTURO

Alva Principe, R., Armani, F., Palmonari, M., Batini, C. (2026). VCL: Bridging Natural Language and Structured Control for Domain-Specific Document Analysis. In aiDM '26: Proceedings of the Ninth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (pp.66-77) [10.1145/3814940.3815330]. Detail

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

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]. Detail

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]. Detail

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). International Joint Conferences on Artificial Intelligence [10.24963/ijcai.2025/1246]. Detail