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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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2
Overview of LifeCLEF 2021: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction
In: ISBN: 978-3-030-85250-4 ; Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2021 pp. 371-393 (2021)
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3
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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4
Overview of LifeCLEF 2020: A System-Oriented Evaluation of Automated Species Identification and Species Distribution Prediction
In: ISBN: 978-3-030-58218-0 ; Experimental IR Meets Multilinguality, Multimodality, and Interaction (CLEF 2020 - International Conference of the Cross-Language Evaluation Forum for European Languages) pp. 342-363 (2020)
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5
A Biologically Plausible SOM Representation of the Orthographic Form of 50,000 French Words
In: Advances in Self-Organizing Maps and Learning Vector Quantization ; https://hal-amu.archives-ouvertes.fr/hal-01338033 ; Advances in Self-Organizing Maps and Learning Vector Quantization, 295, Springer pp.303-312, 2014, AISC ⟨10.1007/978-3-319-07695-9_29⟩ (2014)
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6
A developmental perspective on visual word recognition: new evidence and a self-organising model
In: The European journal of cognitive psychology. - Basingstoke : Psychology Press 22 (2010) 5, 669-694
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7
An Adaptive Resonance Theory account of the implicit learning of orthographic word forms
In: ISSN: 0928-4257 ; Journal of Physiology - Paris ; https://hal.archives-ouvertes.fr/hal-01152171 ; Journal of Physiology - Paris, Elsevier, 2010, 104 (1-2), pp.19--26. ⟨10.1016/j.jphysparis.2009.11.003⟩ (2010)
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8
A developmental perspective on visual word recognition: New evidence and a self-organising model
In: ISSN: 0954-1446 ; EISSN: 1464-0635 ; European Journal of Cognitive Psychology ; https://hal.archives-ouvertes.fr/hal-01152170 ; European Journal of Cognitive Psychology, Taylor & Francis (Routledge), 2010, 22 (5), pp.669--694. ⟨10.1080/09541440903031230⟩ (2010)
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9
GraphDuplex: visualisation simultanée de N réseaux couplés 2 par 2
In: Actes de la 6e Conférence en Recherche d’Information et Applications (CORIA 2009) ; https://hal.archives-ouvertes.fr/hal-00530178 ; Actes de la 6e Conférence en Recherche d’Information et Applications (CORIA 2009), May 2009, Prequ'île de Giens, France. pp.351-362 (2009)
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10
A Comparative Study of Diversity Methods for Hybrid Text and Image Retrieval Approaches
In: Evaluating Systems for Multilingual and Multimodal Information Access ; 9th Workshop of the Cross-Language Evaluation Forum, CLEF 2008 ; https://hal.archives-ouvertes.fr/hal-00581664 ; 9th Workshop of the Cross-Language Evaluation Forum, CLEF 2008, Sep 2008, Aarhus, Denmark. pp.585-592, ⟨10.1007/978-3-642-04447-2_72⟩ (2008)
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11
Multi-stream adaptive evidence combination for noise robust ASR
In: http://infoscience.epfl.ch/record/82542 (2006)
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12
Multi-stream adaptive evidence combination for noise robust ASR
In: http://infoscience.epfl.ch/record/82660 (2006)
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13
Multi-stream adaptive evidence combination for noise robust ASR
In: Speech communication. - Amsterdam [u.a.] : Elsevier 34 (2001) 1, 25-40
OLC Linguistik
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14
From Form to Formation of Phonetic Structures: An evolutionary computing perspective
In: Proceedings of the International Conference on Machine Learning, Workshop on Evolutionary Computing and Machine Learning, ICML'96, Bari (Italy) ; https://hal.archives-ouvertes.fr/hal-00019460 ; 1996 (1996)
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