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Using a pupal exuvia to designate the undamaged neotype of a species belonging to a complex of sibling species – the case of Aedes coluzzii (Diptera, Culicidae)
In: ISSN: 1252-607X ; EISSN: 1776-1042 ; Parasite ; https://hal.archives-ouvertes.fr/hal-03623918 ; Parasite, EDP Sciences, 2022, 29, pp.1-8. ⟨10.1051/parasite/2022020⟩ (2022)
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A global-scale screening of non-native aquatic organisms to identify potentially invasive species under current and future climate conditions
In: ISSN: 0048-9697 ; EISSN: 1879-1026 ; Science of the Total Environment ; https://hal.univ-lorraine.fr/hal-03544887 ; Science of the Total Environment, Elsevier, 2021, 788, pp.147868. ⟨10.1016/j.scitotenv.2021.147868⟩ (2021)
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Overview of LifeCLEF 2021: an evaluation of Machine-Learning based Species Identification and Species Distribution Prediction
In: Experimental IR Meets Multilinguality, Multimodality, and Interaction ; https://hal.inria.fr/hal-03415990 ; K. Selçuk Candan; Bogdan Ionescu; Lorraine Goeuriot; Birger Larsen; Henning Müller; Alexis Joly; Maria Maistro; Florina Piroi; Guglielmo Faggioli; Nicola Ferro. Experimental IR Meets Multilinguality, Multimodality, and Interaction, 12880, Springer International Publishing, pp.371-393, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-85251-1_24⟩ (2021)
Abstract: International audience ; Building accurate knowledge of the identity, the geographic distribution and the evolution of species is essential for the sustainable development of humanity, as well as for biodiversity conservation. However, the difficulty of identifying plants and animals is hindering the aggregation of new data and knowledge. Identifying and naming living plants or animals is almost impossible for the general public and is often difficult even for professionals and naturalists. Bridging this gap is a key step towards enabling effective biodiversity monitoring systems. The LifeCLEF campaign, presented in this paper, has been promoting and evaluating advances in this domain since 2011. The 2021 edition proposes four data-oriented challenges related to the identification and prediction of biodiversity: (i) PlantCLEF: cross-domain plant identification based on herbarium sheets, (ii) BirdCLEF: bird species recognition in audio soundscapes, (iii) GeoLifeCLEF: remote sensing based prediction of species, and (iv) SnakeCLEF: Automatic Snake Species Identification with Country-Level Focus.
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]; [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation; [SDE.BE]Environmental Sciences/Biodiversity and Ecology; [SDE.ES]Environmental Sciences/Environmental and Society; Species Distribution Prediction; Species Identification
URL: https://hal.inria.fr/hal-03415990/document
https://hal.inria.fr/hal-03415990/file/Lifeclef2021.pdf
https://hal.inria.fr/hal-03415990
https://doi.org/10.1007/978-3-030-85251-1_24
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Automated detection of Hainan gibbon calls for passive acoustic monitoring
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A global-scale screening of non-native aquatic organisms to identify potentially invasive species under current and future climate conditions
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6
Overview of LifeCLEF 2020: A System-Oriented Evaluation of Automated Species Identification and Species Distribution Prediction
In: Experimental IR Meets Multilinguality, Multimodality, and Interaction 11th International Conference of the CLEF Association, CLEF 2020, Thessaloniki, Greece, September 22–25, 2020, Proceedings ; CLEF 2020 - 11th International Conference of the Cross-Language Evaluation Forum for European Languages ; https://hal.inrae.fr/hal-02945382 ; CLEF 2020 - 11th International Conference of the Cross-Language Evaluation Forum for European Languages, Sep 2020, Thessaloniki, Greece. pp.342-363, ⟨10.1007/978-3-030-58219-7_23⟩ (2020)
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7
Image_1_From Folk Taxonomy to Species Confirmation of Acorus (Acoraceae): Evidences Based on Phylogenetic and Metabolomic Analyses.tif
Ruifei Zhang (3714817); Feifei Li (746640); Yuanyuan Ji (455424). - 2020
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Image_3_From Folk Taxonomy to Species Confirmation of Acorus (Acoraceae): Evidences Based on Phylogenetic and Metabolomic Analyses.tif
Ruifei Zhang (3714817); Feifei Li (746640); Yuanyuan Ji (455424). - 2020
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9
Table_2_From Folk Taxonomy to Species Confirmation of Acorus (Acoraceae): Evidences Based on Phylogenetic and Metabolomic Analyses.docx
Zhuo Cheng (747969); Binsheng Luo (8117594); Hang Shu (9021113). - 2020
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Image_2_From Folk Taxonomy to Species Confirmation of Acorus (Acoraceae): Evidences Based on Phylogenetic and Metabolomic Analyses.tif
Zhuo Cheng (747969); Binsheng Luo (8117594); Hang Shu (9021113). - 2020
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11
Table_1_From Folk Taxonomy to Species Confirmation of Acorus (Acoraceae): Evidences Based on Phylogenetic and Metabolomic Analyses.docx
Chunlin Long (572277); Shuang Zhang (117657); Ruifei Zhang (3714817). - 2020
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12
Table_3_From Folk Taxonomy to Species Confirmation of Acorus (Acoraceae): Evidences Based on Phylogenetic and Metabolomic Analyses.docx
Hang Shu (9021113); Ronghui Gu (6257486); Zhuo Cheng (747969). - 2020
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Table_4_From Folk Taxonomy to Species Confirmation of Acorus (Acoraceae): Evidences Based on Phylogenetic and Metabolomic Analyses.xlsx
Shuang Zhang (117657); Chunlin Long (572277); Yuanyuan Ji (455424). - 2020
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14
Breadfruit Survey ; BFS ; The languages of northern Ambrym
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15
Automatic taxonomic classification of fish based on their acoustic signals
In: Applied Sciences Basel [ISSN 2076-3417], v. 6 (12), p. 443 (2017)
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Tree Names in Fanbyak ; SJ1_2 ; The languages of northern Ambrym
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Animal and Fish IDs ; SJ1_16 ; The languages of northern Ambrym
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Bird Identification ; SJ1_1 ; The languages of northern Ambrym
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Tree Identification ; TREE_ID ; The languages of northern Ambrym
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Bird Identification ; BIRD_ID ; The languages of northern Ambrym
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