Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mathias Chouet"'
Autor:
Pierre Olivier Malaterre, Christophe Brachet, Georges Gulemvuga Guzanga, Blaise Leandre Tondo, Alice Andral, David Dorchies, Mathias Chouet
Spatial altimetry allows to complete in-situ hydrometric data through the establishment of "virtual stations", at the crossing of the satellite ground track with a watercourse. Elevation measurements of water bodies and rivers are available on the Hy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69cb0f6219ac0478f83234a40237aac4
https://doi.org/10.5194/iahs2022-111
https://doi.org/10.5194/iahs2022-111
'Cassiopée' a software to bridge the gap between researchers and engineers in hydraulic calculations
Autor:
David Dorchies, Mathias Chouet, François Grand, Ludovic Cassan, Sylvain Richard, Dominique Courret
Publikováno v:
Proceedings of the 39th IAHR World Congress From Snow to Sea
Proceedings of the 39th IAHR World Congress From Snow to Sea, Jun 2022, Granada, Spain. pp.3654-3662, ⟨10.3850/IAHR-39WC252171192022197⟩
Proceedings of the 39th IAHR World Congress From Snow to Sea, Jun 2022, Granada, Spain. pp.3654-3662, ⟨10.3850/IAHR-39WC252171192022197⟩
International audience; Engineers always need convenient calculation tools on the field or at the office for evaluating hydraulic characteristics and designing solutions while researchers develop scientific software in most cases nonreusable, invisib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cd86080748c8755967ffcc5a9b27b88
https://doi.org/10.3850/iahr-39wc252171192022197
https://doi.org/10.3850/iahr-39wc252171192022197
Autor:
Camille Garcin, Alexis Joly, Pierre Bonnet, Jean-Christophe Lombardo, Antoine Affouard, Mathias Chouet, Maximilien Servajean, Titouan Lorieul, Joseph Salmon
Publikováno v:
NeurIPS 2021-35th Conference on Neural Information Processing Systems
NeurIPS 2021-35th Conference on Neural Information Processing Systems, Dec 2021, Virtual Conference, France. ⟨10.5281/zenodo.5645731⟩
NeurIPS 2021-35th Conference on Neural Information Processing Systems, Dec 2021, Virtual Conference, France
HAL
NeurIPS 2021-35th Conference on Neural Information Processing Systems, Dec 2021, Virtual Conference, France. ⟨10.5281/zenodo.5645731⟩
NeurIPS 2021-35th Conference on Neural Information Processing Systems, Dec 2021, Virtual Conference, France
HAL
International audience; This paper presents a novel image dataset with high intrinsic ambiguity and a longtailed distribution built from the database of Pl@ntNet citizen observatory. It consists of 306,146 plant images covering 1,081 species. We high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::67999318b442dc3b92ed5ae65bb21603
https://inria.hal.science/hal-03474556v2/document
https://inria.hal.science/hal-03474556v2/document
Autor:
Alexis Joly, Antoine Affouard, Mathias Chouet, Benjamin Deneu, Joaquim Estopinan, Hervé Goëau, Hugo Gresse, Jean-Christophe Lombardo, Titouan Lorieul, François Munoz, Maximilien Servajean, Pierre Bonnet
Publikováno v:
IUCN-Congrès mondial de la nature
IUCN-Congrès mondial de la nature, IUCN, Sep 2021, Marseille, France
IUCN-Congrès mondial de la nature, Sep 2021, Marseille, France.
HAL
IUCN-Congrès mondial de la nature, IUCN, Sep 2021, Marseille, France
IUCN-Congrès mondial de la nature, Sep 2021, Marseille, France.
HAL
International audience; AI-based models for IUCN conservation status prediction (see Fig 1) Digitized Herbarium analysis (phenology, traits, identification) Plant disease recognition Agro-ecological robots (weeds detection and identification, mixed s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::850254b7866d6a99f4af746177886597
https://hal.inrae.fr/hal-03343235/file/Poster.UICN_Pl@ntNet_10years.pdf
https://hal.inrae.fr/hal-03343235/file/Poster.UICN_Pl@ntNet_10years.pdf
Autor:
Titouan Lorieul, Hervé Goëau, Mathias Chouet, Antoine Affouard, Hugo Gresse, Alexis Joly, Jean-Christophe Lombardo, Pierre Bonnet
Publikováno v:
TDWG 2021: Biodiversity Information Science and Standards
Biodiversity Information Science and Standards
Biodiversity Information Science and Standards, 2021, 5, pp.1-4. ⟨10.3897/biss.5.73857⟩
Biodiversity Information Science and Standards, Sofia : Pensoft Publishers, 2017-, 2021, 5, pp.1-4. ⟨10.3897/biss.5.73857⟩
Biodiversity Information Science and Standards 5: e73857
Biodiversity Information Science and Standards
Biodiversity Information Science and Standards, 2021, 5, pp.1-4. ⟨10.3897/biss.5.73857⟩
Biodiversity Information Science and Standards, Sofia : Pensoft Publishers, 2017-, 2021, 5, pp.1-4. ⟨10.3897/biss.5.73857⟩
Biodiversity Information Science and Standards 5: e73857
Pl@ntnet is a citizen observatory that relies on artificial intelligence (AI) technologies to help people identify plants with their smartphones (Joly 2014). Over the past few years, Pl@ntNet has become one of the largest plant biodiversity observato
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::442cc332930cbb200062cd0f423e0941
Autor:
Alexis Joly, Mathias Chouet, Pascal Monestiez, Christophe Botella, Pierre Bonnet, Hervé Goëau, François Munoz
Publikováno v:
Biodiversity Information Science and Standards 2: e25450
Pl@ntNet is an international initiative which was the first one attempting to combine the force of citizens networks with automated identification tools based on machine learning technologies (Joly et al. 2014). Launched in 2009 by a consortium invol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46c76ad211e166988c85e0f654ffef0b
https://zenodo.org/record/1252574
https://zenodo.org/record/1252574