CREMASCHI MARCO

Belotti, F., Cremaschi, M., Dadda, F., Avogadro, R., Palmonari, M. (2026). How good are LLMs in disambiguating entities in tabular data? A comprehensive study. DATA & KNOWLEDGE ENGINEERING, 164(July 2026) [10.1016/j.datak.2026.102596]. Detail

Cremaschi, M., Belotti, F., D'Souza, J., Palmonari, M. (2026). MammoTab 25: A Large-Scale Dataset for Semantic Table Interpretation - Training, Testing, and Detecting Weaknesses. In The Semantic Web – ISWC 2025 24th International Semantic Web Conference, Nara, Japan, November 2–6, 2025, Proceedings, Part II (pp.131-148). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-032-09530-5_8]. Detail

Pierotti, A., Cremaschi, M. (2026). Toward an epistemic grounding of clinical reasoning: artificial intelligence and psychological diagnosis. FRONTIERS IN DIGITAL HEALTH, 8 [10.3389/fdgth.2026.1952196]. Detail

Cremaschi, M., D'Adda, F., Maurino, A. (2026). stEELlm: An LLM for Generating Semantic Annotations of Tabular Data. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 17(6 (December 2026)), 1-32 [10.1145/3719206]. Detail

Cremaschi, M., Nocco, S., Agostini, A., Maurino, A. (2026). MiCare: An IoT-Based System for Real-Time Mental Health Monitoring and Early Disease Detection. In Proceedings of the 33nd Symposium on Advanced Database Systems (pp.525-540). CEUR-WS. Detail