Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Valerio Maggio"'
Autor:
Marta Pendesini, Giuseppe Jurman, Valerio Maggio, Cesare Furlanello, Gabriele Franch, Luca Coviello
Publikováno v:
Scientific Data
Franch, G, Maggio, V, Coviello, L, Pendesini, M, Jurman, G & Furlanello, C 2020, ' TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting ', Scientific Data, vol. 7, 234 (2020) . https://doi.org/10.1038/s41597-020-0574-8
Scientific Data, Vol 7, Iss 1, Pp 1-13 (2020)
Franch, G, Maggio, V, Coviello, L, Pendesini, M, Jurman, G & Furlanello, C 2020, ' TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting ', Scientific Data, vol. 7, 234 (2020) . https://doi.org/10.1038/s41597-020-0574-8
Scientific Data, Vol 7, Iss 1, Pp 1-13 (2020)
We introduce TAASRAD19, a high-resolution radar reflectivity dataset collected by the Civil Protection weather radar of the Trentino South Tyrol Region, in the Italian Alps. The dataset includes 894,916 timesteps of precipitation from more than 9 yea
Autor:
Hongjian Ding, Tanmay Bera, Valerio Maggio, Cesare Furlanello, Joshua Xu, Darryl A. Langley, Zhichao Liu, Leihong Wu, Weida Tong, Amy Jenkins-Barnes
Publikováno v:
Computers and Electronics in Agriculture. 166:105002
Insect pests are often associated with food contamination and public health risks. Accurate and timely species-specific identification of pests is a key step to scale impacts, trace back the contamination process and promptly set intervention measure
Autor:
Claudio Agostinelli, Diego Fioravanti, Ylenia Giarratano, Valerio Maggio, Cesare Furlanello, Giuseppe Jurman, Marco Chierici
Publikováno v:
BMC Bioinformatics
Fioravanti, D, Giarratano, Y, Maggio, V, Agostinelli, C, Chierici, M, Jurman, G & Furlanello, C 2018, ' Phylogenetic convolutional neural networks in metagenomics ', BMC Bioinformatics, vol. 19, no. Suppl 2, pp. 49 . https://doi.org/10.1186/s12859-018-2033-5
BMC Bioinformatics, Vol 19, Iss S2, Pp 1-13 (2018)
Fioravanti, D, Giarratano, Y, Maggio, V, Agostinelli, C, Chierici, M, Jurman, G & Furlanello, C 2018, ' Phylogenetic convolutional neural networks in metagenomics ', BMC Bioinformatics, vol. 19, no. Suppl 2, pp. 49 . https://doi.org/10.1186/s12859-018-2033-5
BMC Bioinformatics, Vol 19, Iss S2, Pp 1-13 (2018)
Background: Convolutional Neural Networks can be effectively used only when data are endowed with an intrinsic concept of neighbourhood in the input space, as is the case of pixels in images. We introduce here Ph-CNN, a novel deep learning architectu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73a94247be22db3eaba9742e481e6906
http://arxiv.org/abs/1709.02268
http://arxiv.org/abs/1709.02268