Zobrazeno 1 - 10
of 894
pro vyhledávání: '"GIMENEZ, OLIVIER"'
Autor:
Gimenez, Olivier
To effectively monitor biodiversity in streams and rivers, we need to quantify species distribution accurately. Occupancy models are useful for distinguishing between the non-detection of a species and its actual absence. While these models can accou
Externí odkaz:
http://arxiv.org/abs/2409.10017
Autor:
Vanpé, Cécile, Piédallu, Blaise, Quenette, Pierre-Yves, Sentilles, Jérôme, Queney, Guillaume, Palazón, Santiago, Jordana, Ivan Afonso, Jato, Ramón, Irurtia, Miguel Mari Elósegui, de la Torre, Jordi Solà, Gimenez, Olivier
Publikováno v:
Peer Community Journal, Vol 2, Iss , Pp - (2022)
Estimating the size of small populations of large mammals can be achieved via censuses, or complete counts, of recognizable individuals detected over a time period: minimum detected (population) size (MDS). However, as a population grows larger and i
Externí odkaz:
https://doaj.org/article/f773c0a72b794d789eab6e8b91fe444c
Due to their high predictive performance and flexibility, machine learning models are an appropriate and efficient tool for ecologists. However, implementing a machine learning model is not yet a trivial task and may seem intimidating to ecologists w
Externí odkaz:
http://arxiv.org/abs/2305.10472
Autor:
Morin, Aïssa, Gimenez, Olivier, Sousa, Lara L., Seymour-Smith, Justin, O'Donnell, Holly, Delignette-Muller, Marie-Laure, Madhlamoto, Daphine, Loveridge, Andrew J., Valeix, Marion
Publikováno v:
In Biological Conservation November 2024 299
Publikováno v:
In Marine Policy December 2024 170
Autor:
Gimenez, Olivier, Kervellec, Maëlis, Fanjul, Jean-Baptiste, Chaine, Anna, Marescot, Lucile, Bollet, Yoann, Duchamp, Christophe
Deep learning is used in computer vision problems with important applications in several scientific fields. In ecology for example, there is a growing interest in deep learning for automatizing repetitive analyses on large amounts of images, such as
Externí odkaz:
http://arxiv.org/abs/2108.11509
Publikováno v:
In Biological Conservation January 2024 289
Publikováno v:
Environ Ecol Stat 28 (2021) 355-381
Detection heterogeneity is inherent to ecological data, arising from factors such as varied terrain or weather conditions, inconsistent sampling effort, or heterogeneity of individuals themselves. Incorporating additional covariates into a statistica
Externí odkaz:
http://arxiv.org/abs/2007.10163
Autor:
McClintock, Brett T., Langrock, Roland, Gimenez, Olivier, Cam, Emmanuelle, Borchers, David L., Glennie, Richard, Patterson, Toby A.
Ecological systems can often be characterised by changes among a finite set of underlying states pertaining to individuals, populations, communities, or entire ecosystems through time. Owing to the inherent difficulty of empirical field studies, ecol
Externí odkaz:
http://arxiv.org/abs/2002.10497