Skip to Main content Skip to Navigation
  1. Search


...
tel-03040683v1  Theses
Titouan Lorieul. Uncertainty in predictions of deep learning models for fine-grained classification
Machine Learning [cs.LG]. Université de Montpellier (UM), FRA., 2020. English
...
hal-02945382v1  Conference papers
Alexis Joly, Hervé Goëau, Stefan Kahl, Benjamin Deneu, Willem-Pier Vellinga et al.  Overview of LifeCLEF 2020: A System-Oriented Evaluation of Automated Species Identification and Species Distribution Prediction
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⟩
...
hal-02421210v1  Conference papers
Titouan Lorieul, Alexis Joly. Vers un désenchevêtrement de l'ambiguïté de la tâche et de l'incertitude du modèle pour la classification avec option de rejet à l'aide de réseaux neuronaux
CAp 2019 - Conférence sur l'Apprentissage automatique, Jul 2019, Toulouse, France
...
hal-01182788v1  Conference papers
Julien Champ, Titouan Lorieul, Maximilien Servajean, Alexis Joly. A comparative study of fine-grained classification methods in the context of the LifeCLEF plant identification challenge 2015
CLEF: Conference and Labs of the Evaluation Forum, Sep 2015, Toulouse, France
...
hal-02989077v1  Conference papers
Benjamin Deneu, Titouan Lorieul, Elijah Cole, Maximilien Servajean, Christophe Botella et al.  Overview of LifeCLEF location-based species prediction task 2020 (GeoLifeCLEF)
CLEF 2020 - 11th International Conference of the Cross-Language Evaluation Forum for European Languages, Sep 2020, thessaloniki, Greece
...
lirmm-01348914v1  Journal articles
Julien Champ, Titouan Lorieul, Pierre Bonnet, Najate Maghnaoui, Christophe Sereno et al.  Categorizing plant images at the variety level: Did you say fine-grained?
Pattern Recognition Letters, Elsevier, 2016, 81, pp.71-79. ⟨10.1016/j.patrec.2016.05.022⟩
...
hal-02873670v1  Conference papers
Alexis Joly, Hervé Goëau, Christophe Botella, Rafael Ruiz de Castaneda, Hervé Glotin et al.  LifeCLEF 2020 Teaser: Biodiversity Identification and Prediction Challenges
ECIR 2020 - 42nd European Conference on IR Research on Advances in Information Retrieval, Apr 2020, Lisbon, Portugal. pp.542-549, ⟨10.1007/978-3-030-45442-5_70⟩
...
hal-02573627v1  Journal articles
Katelin Pearson, Gil Nelson, Myla Aronson, Pierre Bonnet, Laura Brenskelle et al.  Machine Learning Using Digitized Herbarium Specimens to Advance Phenological Research
Bioscience, Oxford University Press (OUP), 2020, 70 (7), pp.610-620. ⟨10.1093/biosci/biaa044⟩
...
hal-02137748v1  Journal articles
Titouan Lorieul, Katelin Pearson, Elizabeth Ellwood, Hervé Goëau, Jean-François Molino et al.  Toward a large-scale and deep phenological stage annotation of herbarium specimens: Case studies from temperate, tropical, and equatorial floras
Applications in Plant Sciences, Wiley, 2019, 7 (3), pp.e01233. ⟨10.1002/aps3.1233⟩