291 citations
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'EnvironnementFR56 papers
- Centre National de la Recherche ScientifiqueFR51 papers
- Université de MontpellierFR51 papers
- Institut Agro MontpellierFR23 papers
- UMR Botanique et Modélisation de l’Architecture des Plantes et des végétationsFR22 papers
- AgroParisTechFR21 papers
- Territoires, Environnement, Télédétection et Information SpatialeFR20 papers
- Institut de Recherche pour le DéveloppementFR19 papers
- Ingénierie des Agropolymères et Technologies EmergentesFR15 papers
- Laboratoire d'Informatique, de Robotique et de Microélectronique de MontpellierFR15 papers
- Agropolis InternationalFR13 papers
- Amélioration Génétique et Adaptation des Plantes méditerranéennes et tropicalesFR12 papers
101 papers
Reframing preprocessing selection as model-internal calibration in near-infrared spectroscopy: A large-scale benchmark of operator-adaptive PLS and Ridge models
Gregory Beurier, Robin Reiter, Camille Noûs +2
Preprocessing screening is often the most expensive part of a near-infrared spectroscopy calibration workflow. It works because smoothing, derivatives, detrending and related filte…
The Domain Adaptation problem in photometric redshift estimation: a solution applied to the HSC Survey
M. Treyer, R. Ait-Ouahmed, S. Arnouts +5
The multi-band HSC-CLAUDS survey comprises several sky regions with varying observing conditions, only one of which, the COSMOS Ultra Deep Field (UDF), offers extensive redshift co…
GeoPl@ntNet: A Platform for Exploring Essential Biodiversity Variables
Lukas Picek, César Leblanc, Alexis Joly +3
This paper describes GeoPl@ntNet, an interactive web application designed to make Essential Biodiversity Variables accessible and understandable to everyone through dynamic maps an…
Multi-modal Co-learning for Earth Observation: Enhancing single-modality models via modality collaboration
Francisco Mena, Dino Ienco, Cassio F. Dantas +2
Multi-modal co-learning is emerging as an effective paradigm in machine learning, enabling models to collaboratively learn from different modalities to enhance single-modality pred…
Overview of ExpertLifeCLEF 2018: how far automated identification systems are from the best experts?
Herve Goeau, Pierre Bonnet, Alexis Joly
Automated identification of plants and animals has improved considerably in the last few years, in particular thanks to the recent advances in deep learning. The next big question…
Plant identification in an open-world (LifeCLEF 2016)
Herve Goeau, Pierre Bonnet, Alexis Joly
The LifeCLEF plant identification challenge aims at evaluating plant identification methods and systems at a very large scale, close to the conditions of a real-world biodiversity…