Classifying Organizations for Food System Ontologies using Natural Language Processing

Autor: Jiang, Tianyu, Vinogradova, Sonia, Stringham, Nathan, Earl, E. Louise, Hollander, Allan D., Huber, Patrick R., Riloff, Ellen, Schillo, R. Sandra, Ubbiali, Giorgio A., Lange, Matthew

Our research explores the use of natural language processing (NLP) methods to automatically classify entities for the purpose of knowledge graph population and integration with food system ontologies. We have created NLP models that can automatically

Externí odkaz: http://arxiv.org/abs/2309.10880

Introducing comprehensive sexuality education in Italian schools: from the co-construction to the evaluation of a pilot intervention.

Autor: Chinelli, Alice¹ (AUTHOR), Ubbiali, Marco² (AUTHOR), Paparatto, Gianluca¹ (AUTHOR), Torri, Eleonora¹ (AUTHOR), Musco, Angelo³ (AUTHOR), Galipò, Rosario⁴ (AUTHOR), Meli, Paolo⁵ (AUTHOR), Bellini, Sabrina⁶ (AUTHOR), Catucci, Nicola⁷ (AUTHOR), Colaprico, Ludovica⁸ (AUTHOR), Camposeragna, Antonella⁹ (AUTHOR), Farinella, Massimo¹⁰ (AUTHOR), Rancilio, Laura¹¹ (AUTHOR), Landi, Nicoletta¹² (AUTHOR), Stettini, Piero¹³ (AUTHOR), Salfa, Maria Cristina¹⁴ (AUTHOR), Cellini, Andrea¹⁵ (AUTHOR), Suligoi, Barbara¹⁴ (AUTHOR), Palamara, Anna Teresa¹⁴ (AUTHOR), Mortari, Luigina² (AUTHOR)

Publikováno v: BMC Public Health. 8/2/2024, Vol. 24 Issue 1, p1-12. 12p.

Il Metodo Fenomenologico Empirico (MFE) e la sua applicazione in una ricerca educativa

Autor: Luigina Mortari, Rosi Bombieri, Federica Valbusa, Marco Ubbiali

Publikováno v: Formazione & Insegnamento, Vol 22, Iss 1 (2024)

L’articolo presenta un metodo di ricerca innovativo e rigorosamente fondato che si presta particolarmente agli studi empirici in ambito educativo: il Metodo Fenomenologico Empirico (MFE). Dopo aver descritto le basi teoriche e le azioni euristiche

Externí odkaz: https://doaj.org/article/f02a1575871d4f5e851063df1d10dfed

Natural language processing to convert unstructured COVID-19 chest-CT reports into structured reports

Autor: Salvatore Claudio Fanni, Chiara Romei, Giovanni Ferrando, Federica Volpi, Caterina Aida D’Amore, Claudio Bedini, Sandro Ubbiali, Salvatore Valentino, Emanuele Neri

Publikováno v: European Journal of Radiology Open, Vol 11, Iss , Pp 100512- (2023)

Background: Structured reporting has been demonstrated to increase report completeness and to reduce error rate, also enabling data mining of radiological reports. Still, structured reporting is perceived by radiologists as a fragmented reporting sty

Externí odkaz: https://doaj.org/article/c8ee511950e046dca37180af6bbc721f

Prospects for Kilometer-Scale Climate Models

Autor: Schär, Christoph, Fuhrer, Oliver, Arteaga, Andrea, Ban, Nikolina, Charpilloz, Christophe, Di Girolamo, Salvatore, Hentgen, Laureline, Hoefler, Torsten, Lapillonne, Xavier, Leutwyler, David, Osterried, Katherine, Panosetti, Davide, Rüdisühli, Stefan, Schlemmer, Linda, Schulthess, Thomas, Sprenger, Michael, Ubbiali, Stefano, Wernli, Heini

Publikováno v: Bulletin of the American Meteorological Society, 2021 Jan 01. 102(1), 47-52.

Externí odkaz: https://www.jstor.org/stable/27207220