Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Lorenzo Bonicelli"'
Autor:
Carla Ippoliti, Lorenzo Bonicelli, Matteo De Ascentis, Susanna Tora, Alessio Di Lorenzo, Silvio Gerardo d’Alessio, Angelo Porrello, Americo Bonanni, Daniela Cioci, Maria Goffredo, Simone Calderara, Annamaria Conte
Publikováno v:
Frontiers in Veterinary Science, Vol 11 (2024)
Culex pipiens, an important vector of many vector borne diseases, is a species capable to feeding on a wide variety of hosts and adapting to different environments. To predict the potential distribution of Cx. pipiens in central Italy, this study int
Externí odkaz:
https://doaj.org/article/492a41897af244d2b8c959151c044190
Autor:
Lorenzo Bonicelli, Abigail Rose Trachtman, Alfonso Rosamilia, Gaetano Liuzzo, Jasmine Hattab, Elena Mira Alcaraz, Ercole Del Negro, Stefano Vincenzi, Andrea Capobianco Dondona, Simone Calderara, Giuseppe Marruchella
Publikováno v:
Animals, Vol 11, Iss 11, p 3290 (2021)
The slaughterhouse can act as a valid checkpoint to estimate the prevalence and the economic impact of diseases in farm animals. At present, scoring lesions is a challenging and time-consuming activity, which is carried out by veterinarians serving t
Externí odkaz:
https://doaj.org/article/220957cc78744aeb8e271664e45828b6
Publikováno v:
Pattern Recognition Letters. 162:9-14
Continual Learning (CL) investigates how to train Deep Networks on a stream of tasks without incurring forgetting. CL settings proposed in literature assume that every incoming example is paired with ground-truth annotations. However, this clashes wi
Autor:
Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Concetto Spampinato, Simone Calderara
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200496
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff2758e1e70e72a215d5c8d9745cdcfe
https://hdl.handle.net/11380/1285649
https://hdl.handle.net/11380/1285649
Autor:
Gaetano Liuzzo, Simone Calderara, Stefano Vincenzi, Giuseppe Marruchella, Ercole Del Negro, Abigail Rose Trachtman, Andrea Capobianco Dondona, Elena Mira Alcaraz, Alfonso Rosamilia, Lorenzo Bonicelli, Jasmine Hattab
Publikováno v:
Animals : an Open Access Journal from MDPI
Animals
Volume 11
Issue 11
Animals, Vol 11, Iss 3290, p 3290 (2021)
Animals
Volume 11
Issue 11
Animals, Vol 11, Iss 3290, p 3290 (2021)
Simple Summary Scoring lesions in slaughtered pigs can provide useful feedback to the swine industry, although the systematic recording of lesions is very challenging and time consuming. Artificial intelligence offers interesting opportunities to sol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0d68e1a488bcda951a0584ae0607a23
https://hdl.handle.net/11380/1257477
https://hdl.handle.net/11380/1257477