Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Jean-Christophe Lombardo"'
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
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:
Matthieu Simonin, Gabriel Antoniu, Alexis Joly, Jean-Christophe Lombardo, Daniel Rosendo, Alexandru Costan, Patrick Valduriez
Publikováno v:
Cluster 2021-IEEE International Conference on Cluster Computing
Cluster 2021-IEEE International Conference on Cluster Computing, Sep 2021, Portland, OR, United States
Cluster 2021-IEEE International Conference on Cluster Computing, Sep 2021, Portland, OR, United States. pp.23-34, ⟨10.1109/Cluster48925.2021.00043⟩
CLUSTER
Cluster 2021-IEEE International Conference on Cluster Computing, Sep 2021, Portland, OR, United States
Cluster 2021-IEEE International Conference on Cluster Computing, Sep 2021, Portland, OR, United States. pp.23-34, ⟨10.1109/Cluster48925.2021.00043⟩
CLUSTER
International audience; In more and more application areas, we are witnessing the emergence of complex workflows that combine computing, analytics and learning. They often require a hybrid execution infrastructure with IoT devices interconnected to c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e6a8ba4ca821511e7afeb4cc78fecdf
https://hal.archives-ouvertes.fr/hal-03310540/document
https://hal.archives-ouvertes.fr/hal-03310540/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
Autor:
Alexis Joly, Laura Mary, Benjamin Deneu, Susan Brown, Christel Vignau, Maximilien Servajean, Antoine Affouard, François Munoz, Jean-Christophe Lombardo, David W. Kimiti, Pierre Bonnet, Jean-Michel Faton
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::945544ca570e6d7525f8d6d551172c57
https://doi.org/10.1002/2688-8319.12023/v2/response1
https://doi.org/10.1002/2688-8319.12023/v2/response1
Autor:
Christel Vignau, Benjamin Deneu, Laura Mary, Jean-Michel Faton, Antoine Affouard, David W. Kimiti, Alexis Joly, Susan Brown, Maximilien Servajean, Pierre Bonnet, Jean-Christophe Lombardo, François Munoz
Publikováno v:
Ecological Solutions and Evidence
Ecological Solutions and Evidence, 2020, 1 (2), ⟨10.1002/2688-8319.12023⟩
Ecological Solutions and Evidence, Wiley, 2020, 1 (2), ⟨10.1002/2688-8319.12023⟩
Ecological Solutions and Evidence, Vol 1, Iss 2, Pp n/a-n/a (2020)
Ecological Solutions and Evidence, 2020, 1 (2), ⟨10.1002/2688-8319.12023⟩
Ecological Solutions and Evidence, Wiley, 2020, 1 (2), ⟨10.1002/2688-8319.12023⟩
Ecological Solutions and Evidence, Vol 1, Iss 2, Pp n/a-n/a (2020)
International audience; 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-s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6767aa25dae498d7b21e437a25c7a07
https://hal.inrae.fr/hal-02937618/file/Bonnet_etal_Ecological_Solutions_Evidence_2020_1_2.pdf
https://hal.inrae.fr/hal-02937618/file/Bonnet_etal_Ecological_Solutions_Evidence_2020_1_2.pdf
Autor:
Pierre Bonnet, Benjamin Deneu, Hervé Goëau, Maximilien Servajean, Alexis Joly, Oleksandra Levchenko, Julien Champ, Hugo Gresse, Jean-Christophe Lombardo, Antoine Affouard, Fabian-Robert Stöter
Publikováno v:
Biodiversity Information Science and Standards
Biodiversity Information Science and Standards 4: e58933
Biodiversity Information Science and Standards 4: e58933
Pl@ntNet is a scientific and citizen platform based on artificial intelligence techniques to help participants more easily identify plants with their smartphones. The identification of plant species is indeed an important step for many scientific, ed
Autor:
WP Willem Pier Vellinga, Pierre Bonnet, Hervé Glotin, Jean-Christophe Lombardo, Henning Müller, Robert Planqué, Concetto Spampinato, Hervé Goëau, Simone Palazzo, Alexis Joly
Publikováno v:
Information Retrieval Evaluation in a Changing World: Lessons Learned from 20 Years of CLEF
Nicola Ferro; Carol Peters. Information Retrieval Evaluation in a Changing World: Lessons Learned from 20 Years of CLEF, 41, pp.389-413, 2019, The Information Retrieval Series, 978-3-030-22948-1. ⟨10.1007/978-3-030-22948-1_16⟩
Nicola Ferro; Carol Peters. Information Retrieval Evaluation in a Changing World: Lessons Learned from 20 Years of CLEF, 41, Springer, pp.389-413, 2019, The Information Retrieval Series, 978-3-030-22948-1. ⟨10.1007/978-3-030-22948-1_16⟩
Information retrieval evaluation in a changing world: lessons learned from 20 years of CLEF
Information Retrieval Evaluation in a Changing World ISBN: 9783030229474
Information Retrieval Evaluation in a Changing World
Nicola Ferro; Carol Peters. Information Retrieval Evaluation in a Changing World: Lessons Learned from 20 Years of CLEF, 41, pp.389-413, 2019, The Information Retrieval Series, 978-3-030-22948-1. ⟨10.1007/978-3-030-22948-1_16⟩
Nicola Ferro; Carol Peters. Information Retrieval Evaluation in a Changing World: Lessons Learned from 20 Years of CLEF, 41, Springer, pp.389-413, 2019, The Information Retrieval Series, 978-3-030-22948-1. ⟨10.1007/978-3-030-22948-1_16⟩
Information retrieval evaluation in a changing world: lessons learned from 20 years of CLEF
Information Retrieval Evaluation in a Changing World ISBN: 9783030229474
Information Retrieval Evaluation in a Changing World
AcknowledgementsThe organization of the PlantCLEF task is supported by the French project Floris’Tic (Tela Botanica, INRIA, CIRAD, INRA, IRD) funded in the context of the national investment program PIA. The organization of the BirdCLEF task is sup
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30b6c534e2aa77512d98aa311c80e7f2
https://hal.umontpellier.fr/hal-02273280
https://hal.umontpellier.fr/hal-02273280
Publikováno v:
25th ACM International Conference on Multimedia
MM: Multimedia
MM: Multimedia, Oct 2017, Mountain View, United States. pp.1-11
HAL
ACM Multimedia
MM'17: Proceedings of the 25th ACM International Conference on Multimedia
MM: Multimedia
MM: Multimedia, Oct 2017, Mountain View, United States. pp.1-11
HAL
ACM Multimedia
MM'17: Proceedings of the 25th ACM International Conference on Multimedia
Pl@ntNet is a world-scale participatory platform and information system dedicated to the monitoring of plant biodiversity through image-based plant identification. Nowadays, the mobile front-end of Pl@ntNet has been downloaded by more than 4 millions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::477e084cf6d2e2b5eee60e9b2c3b539f
https://hal.inria.fr/hal-01638263
https://hal.inria.fr/hal-01638263