AVOGADRO ROBERTO

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

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]. Detail

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]. Detail

Marzocchi, M., Cremaschi, M., Pozzi, R., Avogadro, R., Palmonari, M. (2022). MammoTab: a giant and comprehensive dataset for Semantic Table Interpretation. In SemTab 2022 Semantic Web Challenge on Tabular Data to Knowledge Graph Matching
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.28-33). CEUR-WS. Detail

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. Detail