Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Naroa Zurutuza"'
Publikováno v:
Remote Sensing, Vol 14, Iss 4, p 897 (2022)
Computer vision for large scale building detection can be very challenging in many environments and settings even with recent advances in deep learning technologies. Even more challenging is modeling to detect the presence of specific buildings (in t
Externí odkaz:
https://doaj.org/article/3801c63afd9f49638103b2ef1576f77e
Autor:
Do-Hyung Kim, Guzmán López, Diego Kiedanski, Iyke Maduako, Braulio Ríos, Alan Descoins, Naroa Zurutuza, Shilpa Arora, Christopher Fabian
Publikováno v:
Remote Sensing, Vol 13, Iss 15, p 2908 (2021)
Understanding the biases in Deep Neural Networks (DNN) based algorithms is gaining paramount importance due to its increased applications on many real-world problems. A known problem of DNN penalizing the underrepresented population could undermine t
Externí odkaz:
https://doaj.org/article/1a1dd024789a40ebbd114b8caea064b7
Autor:
Diego Kiedanski, Alan Descoins, Do-Hyung Kim, Braulio Ríos, Christopher Fabian, Guzmán López, Iyke Maduako, Shilpa Arora, Naroa Zurutuza
Publikováno v:
Remote Sensing, Vol 13, Iss 2908, p 2908 (2021)
Understanding the biases in Deep Neural Networks (DNN) based algorithms is gaining paramount importance due to its increased applications on many real-world problems. A known problem of DNN penalizing the underrepresented population could undermine t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bd3988a85e6b556f75face99cbbb093
https://doi.org/10.3390/rs13152908
https://doi.org/10.3390/rs13152908
Autor:
Jessica Block, Daniel Crawl, Gordon Hanson, Naroa Zurutuza, Mai H. Nguyen, Ilkay Altintas, Mehrdad Yazdani, Do-Hyung Kim
Publikováno v:
UCC Companion
Many countries typically lack sufficient civic data to assess where and what challenges communities face. High resolution satellite images can provide honest assessments of neighborhoods and communities to guide aid workers, policy makers, private se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::437f54a567396193f476877ae6df7052
https://doi.org/10.1109/ucc-companion.2018.00048
https://doi.org/10.1109/ucc-companion.2018.00048