Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Valerio Giuffrida"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
Externí odkaz:
https://doaj.org/article/3c22c6bbf0a24180a231987ee63caa3d
Autor:
Tempelaere, Astrid, He, Jiaqi, Van Doorselaer, Leen, Verboven, Pieter, Nicolai, Bart, Valerio Giuffrida, Mario
Publikováno v:
In Computers and Electronics in Agriculture November 2024 226
Publikováno v:
Frontiers in Plant Science, Vol 11 (2020)
Image-based plant phenotyping has been steadily growing and this has steeply increased the need for more efficient image analysis techniques capable of evaluating multiple plant traits. Deep learning has shown its potential in a multitude of visual t
Externí odkaz:
https://doaj.org/article/f5d8ef52c6fe4d368d66e542c117a53b
Publikováno v:
Plant Methods, Vol 14, Iss 1, Pp 1-14 (2018)
Abstract Background Image-based plant phenotyping has become a powerful tool in unravelling genotype–environment interactions. The utilization of image analysis and machine learning have become paramount in extracting data stemming from phenotyping
Externí odkaz:
https://doaj.org/article/70d0507e3c0e4431ada59eaf176354ab
Publikováno v:
Journal of Imaging, Vol 7, Iss 10, p 198 (2021)
This paper proposes a novel approach for semi-supervised domain adaptation for holistic regression tasks, where a DNN predicts a continuous value y∈R given an input image x. The current literature generally lacks specific domain adaptation approach
Externí odkaz:
https://doaj.org/article/245df1d016ac470096de97a433e6dba6
A common yet still manual task in basic biology research, high through-put drug screening, and digital pathology is identifying the number, location, and type of individual cells in microscopy images. Semantic segmentation-based methods can be useful
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13d62f1f353a2913a95fdaa09a5c4437
https://doi.org/10.21203/rs.3.rs-2582938/v1
https://doi.org/10.21203/rs.3.rs-2582938/v1
This paper focuses on how touch interactions on smartphones can provide a continuous user authentication service through behaviour captured by a touchscreen. While efforts are made to advance touch-based behavioural authentication, researchers often
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6820ce9a362857e7fcddaa9fe66ec972
Publikováno v:
American Journal of Agricultural Economics, 104(2), 569-588. Wiley-Blackwell
Governments around the world have taken drastic measures to contain the spread of COVID-19. Policy responses to the pandemic could affect local food prices in important ways. In this paper, we hypothesize that food prices in regionally integrated mar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d945e417a7c8001fbcfe06f2a92a1a9
https://cris.maastrichtuniversity.nl/en/publications/0f10d69c-d5d9-4674-a8f7-868c0a4349f0
https://cris.maastrichtuniversity.nl/en/publications/0f10d69c-d5d9-4674-a8f7-868c0a4349f0
Publikováno v:
Journal of Imaging
Volume 7
Issue 10
Journal of Imaging, Vol 7, Iss 198, p 198 (2021)
Volume 7
Issue 10
Journal of Imaging, Vol 7, Iss 198, p 198 (2021)
This paper proposes a novel approach for semi-supervised domain adaptation for holistic regression tasks, where a DNN predicts a continuous value y∈R given an input image x. The current literature generally lacks specific domain adaptation approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::644e1d8b463312e4a70122885262fd4c