Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Maximilien Servajean"'
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Species Distribution Models (SDMs) are fundamental tools in ecology for predicting the geographic distribution of species based on environmental data. They are also very useful from an application point of view, whether for the implementation of cons
Externí odkaz:
https://doaj.org/article/35df48e936944caeb310f2ef3ab53af2
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Species distribution models (SDMs) are widely used numerical tools that rely on correlations between geolocated presences (and possibly absences) and environmental predictors to model the ecological preferences of species. Recently, SDMs exploiting d
Externí odkaz:
https://doaj.org/article/12c82714b1964aadb9d5db93bd45d97d
Autor:
Benjamin Deneu, Maximilien Servajean, Pierre Bonnet, Christophe Botella, François Munoz, Alexis Joly
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 4, p e1008856 (2021)
Convolutional Neural Networks (CNNs) are statistical models suited for learning complex visual patterns. In the context of Species Distribution Models (SDM) and in line with predictions of landscape ecology and island biogeography, CNN could grasp ho
Externí odkaz:
https://doaj.org/article/77a67e37855a4c53b4a833f40fb4e18b
Autor:
Pierre Bonnet, Alexis Joly, Jean‐Michel Faton, Susan Brown, David Kimiti, Benjamin Deneu, Maximilien Servajean, Antoine Affouard, Jean‐Christophe Lombardo, Laura Mary, Christel Vignau, François Munoz
Publikováno v:
Ecological Solutions and Evidence, Vol 1, Iss 2, Pp n/a-n/a (2020)
Abstract 1. Successful monitoring and management of plant resources worldwide needs the involvement of civil society to support natural reserve managers. Because it is difficult to correctly and quickly identify plant species for non‐specialists, t
Externí odkaz:
https://doaj.org/article/e63985c9ab054038b1668a9f3ae54949
Publikováno v:
World Wide Web. 26:799-825
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fddca32d313c8567634b75b439d124ff
https://doi.org/10.1007/s11280-022-01116-0
https://doi.org/10.1007/s11280-022-01116-0
Autor:
Botella, Christophe, Benjamin, Deneu, Diego Gonzalez, Marcos, Maximilien, Servajean, Théo, Larcher, Joaquim, Estopinan, César, Leblanc, Bonnet, Pierre, Joly, Alexis
The full dataset is freely available at the link below (perennial repository) for academic use or other non-commercial use: https://lab.plantnet.org/seafile/d/936fe4298a5a4f4c8dbd/; The difficulty to measure or predict species community composition a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::da9d1c82c96f289b308e04f2069aecb4
https://hal.science/hal-04152362
https://hal.science/hal-04152362
Autor:
Leonardo Moros, Jérôme Azé, Sandra Bringay, Pascal Poncelet, Maximilien Servajean, Caroline Dunoyer
Publikováno v:
Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881
Context: We present a post-hoc approach to improve the recall of ICD classification. Method: The proposed method can use any classifier as a backbone and aims to calibrate the number of codes returned per document. We test our approach on a new strat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fd89f0d271fd6dd696e5ec16b324b54
https://doi.org/10.3233/shti230264
https://doi.org/10.3233/shti230264
Autor:
Samy Benslimane, Thomas Papastergiou, Jérôme Azé, Sandra Bringay, Caroline Mollevi, Maximilien Servajean
Publikováno v:
International Database Engineered Applications Symposium Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb30acb441101459782c22c50a4cb8bc
https://doi.org/10.1145/3589462.3589480
https://doi.org/10.1145/3589462.3589480
Autor:
Alexis Delaforge, Jerome Aze, Sandra Bringay, Caroline Mollevi, Arnaud Sallaberry, Maximilien Servajean
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. :1-18
While neural networks (NN) have been successfully applied to many NLP tasks, the way they function is often difficult to interpret. In this article, we focus on binary text classification via NNs and propose a new tool, which includes a visualization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3e70346280a92815c776485561901e1
https://doi.org/10.1109/tvcg.2022.3184247
https://doi.org/10.1109/tvcg.2022.3184247
Autor:
Alexis Joly, Hervé Goëau, Stefan Kahl, Lukáš Picek, Christophe Botella, Diego Marcos, Milan Šulc, Marek Hrúz, Titouan Lorieul, Sara Si Moussi, Maximilien Servajean, Benjamin Kellenberger, Elijah Cole, Andrew Durso, Hervé Glotin, Robert Planqué, Willem-Pier Vellinga, Holger Klinck, Tom Denton, Ivan Eggel, Pierre Bonnet, Henning Müller
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031282409
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::934c3bd51921db9bca2f74e28c819f90
https://doi.org/10.1007/978-3-031-28241-6_65
https://doi.org/10.1007/978-3-031-28241-6_65