Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Sylvain Christin"'
Publikováno v:
Methods in Ecology and Evolution, Vol 15, Iss 1, Pp 69-79 (2024)
Abstract Large‐scale acoustic projects generate vast amounts of data that can now be efficiently processed using deep learning tools. However, these tools often face limitations due to sound labeling and imbalanced sampling. Data augmentation can h
Externí odkaz:
https://doaj.org/article/e685de9967f7488ba4cd1c483335cc36
Publikováno v:
PLoS ONE, Vol 10, Iss 11, p e0141999 (2015)
Animal tracking through Argos satellite telemetry has enormous potential to test hypotheses in animal behavior, evolutionary ecology, or conservation biology. Yet the applicability of this technique cannot be fully assessed because no clear picture e
Externí odkaz:
https://doaj.org/article/b5f81cd94d204f4a859efa7629ccec4c
Autor:
Sylvain Christin, Christine Chicoine, Tommy O'Neill Sanger, Mélanie F. Guigueno, Jannik Hansen, Richard B. Lanctot, Douglas MacNearney, Jennie Rausch, Sarah T. Saalfeld, Niels M. Schmidt, Paul A. Smith, Paul F. Woodard, Éric Hervet, Nicolas Lecomte
Publikováno v:
Christin, S, Chicoine, C, O'Neill Sanger, T, Guigueno, M F, Hansen, J, Lanctot, R B, MacNearney, D, Rausch, J, Saalfeld, S T, Schmidt, N M, Smith, P A, Woodard, P F, Hervet, É & Lecomte, N 2023, ' ArcticBirdSounds : An open-access, multiyear, and detailed annotated dataset of bird songs and calls ', Ecology, vol. 104, no. 6, e4047 . https://doi.org/10.1002/ecy.4047
Tracking biodiversity shifts is central to understanding past, present, and future global changes. Recent advances in bioacoustics and the low cost of high-quality automatic recorders are revolutionizing studies in biogeography and community and beha
Autor:
Nicolas Lecomte, Sylvain Christin
Biological and ecological models are being increasingly used to explain the natural world. Model creation is an iterative process requiring two steps: training and evaluating the models. However, this process can become complex when multiple models a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c10ad2cf6dca8b1eebf62ba5b7ed804
https://doi.org/10.1101/2022.07.06.498965
https://doi.org/10.1101/2022.07.06.498965
Publikováno v:
Methods in Ecology and Evolution. 12:130-134
Publikováno v:
Methods in Ecology and Evolution. 10:1632-1644
A lot of hype has recently been generated around deep learning, a group of artificial intelligence approaches able to break accuracy records in pattern recognition. Over the course of just a few years, deep learning revolutionized several research fi