Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Angelo Porrello"'
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:
Jasmine Hattab, Angelo Porrello, Anastasia Romano, Alfonso Rosamilia, Sergio Ghidini, Nicola Bernabò, Andrea Capobianco Dondona, Attilio Corradi, Giuseppe Marruchella
Publikováno v:
Pathogens, Vol 12, Iss 12, p 1460 (2023)
Artificial-intelligence-based methods are regularly used in the biomedical sciences, mainly in the field of diagnostic imaging. Recently, convolutional neural networks have been trained to score pleurisy and pneumonia in slaughtered pigs. The aim of
Externí odkaz:
https://doaj.org/article/0b4af3b7bd4e4bb4b9079a3c8537026f
Autor:
Abigail R. Trachtman, Luca Bergamini, Andrea Palazzi, Angelo Porrello, Andrea Capobianco Dondona, Ercole Del Negro, Andrea Paolini, Giorgio Vignola, Simone Calderara, Giuseppe Marruchella
Publikováno v:
Veterinary Research, Vol 51, Iss 1, Pp 1-9 (2020)
Abstract Diseases of the respiratory system are known to negatively impact the profitability of the pig industry, worldwide. Considering the relatively short lifespan of pigs, lesions can be still evident at slaughter, where they can be usefully reco
Externí odkaz:
https://doaj.org/article/e74ba56b2e764914af64cb5c1ed1951e
Predicting WNV Circulation in Italy Using Earth Observation Data and Extreme Gradient Boosting Model
Autor:
Luca Candeloro, Carla Ippoliti, Federica Iapaolo, Federica Monaco, Daniela Morelli, Roberto Cuccu, Pietro Fronte, Simone Calderara, Stefano Vincenzi, Angelo Porrello, Nicola D’Alterio, Paolo Calistri, Annamaria Conte
Publikováno v:
Remote Sensing, Vol 12, Iss 18, p 3064 (2020)
West Nile Disease (WND) is one of the most spread zoonosis in Italy and Europe caused by a vector-borne virus. Its transmission cycle is well understood, with birds acting as the primary hosts and mosquito vectors transmitting the virus to other bird
Externí odkaz:
https://doaj.org/article/4d2e538bc4b94124ac89200e6839eeec
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
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250712
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40b9f5cd6abd0d0a0c510c242ebbb7b8
https://doi.org/10.1007/978-3-031-25072-9_22
https://doi.org/10.1007/978-3-031-25072-9_22
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
Predicting WNV Circulation in Italy Using Earth Observation Data and Extreme Gradient Boosting Model
Autor:
F. Iapaolo, Roberto Cuccu, Simone Calderara, Federica Monaco, Daniela Morelli, Pietro Fronte, Stefano Vincenzi, Paolo Calistri, Luca Candeloro, Nicola D'Alterio, Annamaria Conte, Carla Ippoliti, Angelo Porrello
Publikováno v:
Remote Sensing, Vol 12, Iss 3064, p 3064 (2020)
Remote Sensing; Volume 12; Issue 18; Pages: 3064
Remote Sensing; Volume 12; Issue 18; Pages: 3064
West Nile Disease (WND) is one of the most spread zoonosis in Italy and Europe caused by a vector-borne virus. Its transmission cycle is well understood, with birds acting as the primary hosts and mosquito vectors transmitting the virus to other bird
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030586065
ECCV (10)
ECCV (10)
To achieve robustness in Re-Identification, standard methods leverage tracking information in a Video-To-Video fashion. However, these solutions face a large drop in performance for single image queries (e.g., Image-To-Video setting). Recent works ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a2a684e5cd04f09be99a5f98b504c82
http://arxiv.org/abs/2007.04174
http://arxiv.org/abs/2007.04174
Publikováno v:
ICPR
In Continual Learning, a Neural Network is trained on a stream of data whose distribution shifts over time. Under these assumptions, it is especially challenging to improve on classes appearing later in the stream while remaining accurate on previous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78d397fc327065dc66a17c3ad3a55e40
https://hdl.handle.net/11380/1211822
https://hdl.handle.net/11380/1211822