AVOGADRO ROBERTO

(2024). Semantic Enrichment of Tabular Data with Machine Learning Techniques. (Tesi di dottorato, Università degli Studi di Milano-Bicocca, 2024). Dettaglio

Krasteva, I., Petrova-Antonova, D., De Paoli, F., Hristov, E., Borukova, M., Ciavotta, M., et al. (2024). Geospatial Enrichment of Urban Data for Advanced City Planning: a Pilot Study. In Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023 (pp.3139-3143). Institute of Electrical and Electronics Engineers Inc. [10.1109/BigData59044.2023.10386822]. Dettaglio

Avogadro, R., Ciavotta, M., De Paoli, F., Palmonari, M., Roman, D. (2023). Estimating Link Confidence for Human-in-the-Loop Table Annotation. In Proceedings - 2023 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2023 (pp.142-149). Institute of Electrical and Electronics Engineers Inc. [10.1109/wi-iat59888.2023.00025]. Dettaglio

Cremaschi, M., Avogadro, R., Chieregato, D. (2022). s-elBat: a Semantic Interpretation Approach for Messy taBle-s. In Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching
co-located with the 21st International Semantic Web Conference (ISWC 2022) (pp.59-71). CEUR-WS. Dettaglio

Avogadro, R., Cremaschi, M., D'Adda, F., De Paoli, F., Palmonari, M. (2022). LamAPI: A Comprehensive Tool for String-based Entity Retrieval with Type-base Filters. In 17th International Workshop on Ontology Matching, OM 2022 (pp.25-36). CEUR-WS. Dettaglio