Profile diversity in search and recommendation. - Maximilien Servajean; Esther Pacitti; Sihem Amer-Yahia; Pascal Neveu (WWW (Companion Volume), 2013)

Exploiting Diversification in Gossip-Based Recommendation. - Maximilien Servajean; Esther Pacitti; Miguel Liroz-Gistau; Sihem Amer-Yahia; Amr El Abbadi (Globe, 2014)

Recommandation Diversifiée et Distribuée pour les Données Scientifiques. (Diversified and Distributed Recommendation for Scientific Data). - Maximilien Servajean (2014)

A Comparative Study of Fine-grained Classification Methods in the Context of the LifeCLEF Plant Identification Challenge 2015. - Julien Champ; Titouan Lorieul; Maximilien Servajean; Alexis Joly (CLEF (Working Notes), 2015)

Profile Diversity for Query Processing using User Recommendations. - Maximilien Servajean; Reza Akbarinia; Esther Pacitti; Sihem Amer-Yahia (Inf. Syst., 2015)

Increasing Coverage in Distributed Search and Recommendation with Profile Diversity. - Maximilien Servajean; Esther Pacitti; Miguel Liroz-Gistau; Sihem Amer-Yahia; Amr El Abbadi (Trans. Large Scale Data Knowl. Centered Syst., 2015)

ThePlantGame: Actively Training Human Annotators for Domain-specific Crowdsourcing. - Maximilien Servajean; Alexis Joly; Dennis E. Shasha; Julien Champ; Esther Pacitti (ACM Multimedia, 2016)

Crowdsourcing Thousands of Specialized Labels: A Bayesian Active Training Approach. - Maximilien Servajean; Alexis Joly; Dennis E. Shasha; Julien Champ; Esther Pacitti (IEEE Trans. Multim., 2017)

Location-based Species Recommendation using Co-occurrences and Environment- GeoLifeCLEF 2018 Challenge. - Benjamin Deneu; Maximilien Servajean; Christophe Botella; Alexis Joly (CLEF (Working Notes), 2018)

Temporal Mood Variation: at the CLEF eRisk-2018 Tasks for Early Risk Detection on The Internet. - Waleed Ragheb; Bilel Moulahi; Jérôme Azé; Sandra Bringay; Maximilien Servajean (CLEF (Working Notes), 2018)

LIRMM@DEFT-2018 - Modèle de classification de la vectorisation des documents (LIRMM DEFT-2018 - Document Vectorization Classification model ). - Waleed Mohamed Azmy; Bilel Moulahi; Sandra Bringay; Maximilien Servajean (CORIA-TALN-RJC (DeFT), 2018)

A Distributed Collaborative Filtering Algorithm Using Multiple Data Sources. - Mohamed Reda Bouadjenek; Esther Pacitti; Maximilien Servajean; Florent Masseglia; Amr El Abbadi (CoRR, 2018)

Non-parametric Bayesian annotator combination. - Maximilien Servajean; Romain Chailan; Alexis Joly (Inf. Sci., 2018)

Overview of GeoLifeCLEF 2019: Plant Species Prediction using Environment and Animal Occurrences. - Christophe Botella; Maximilien Servajean; Pierre Bonnet; Alexis Joly (CLEF (Working Notes), 2019)

Evaluation of Deep Species Distribution Models Using Environment and Co-occurrences. - Benjamin Deneu; Maximilien Servajean; Christophe Botella; Alexis Joly (CLEF, 2019)

Overview of LifeCLEF 2019: Identification of Amazonian Plants, South & North American Birds, and Niche Prediction. - Alexis Joly; Hervé Goëau; Christophe Botella; Stefan Kahl; Maximilien Servajean; Hervé Glotin; Pierre Bonnet; Robert Planqué; Fabian-Robert Stöter; Willem-Pier Vellinga; Henning Müller (CLEF, 2019)

Location-Based Plant Species Prediction Using A CNN Model Trained On Several Kingdoms - Best Method Of GeoLifeCLEF 2019 Challenge. - Mathilde Negri; Maximilien Servajean; Benjamin Deneu; Alexis Joly (CLEF (Working Notes), 2019)

Language Modeling in Temporal Mood Variation Models for Early Risk Detection on the Internet. - Waleed Ragheb; Jérôme Azé; Sandra Bringay; Maximilien Servajean (CLEF, 2019)

Attentive Multi-stage Learning for Early Risk Detection of Signs of Anorexia and Self-harm on Social Media. - Waleed Ragheb; Jérôme Azé; Sandra Bringay; Maximilien Servajean (CLEF (Working Notes), 2019)

LifeCLEF 2019: Biodiversity Identification and Prediction Challenges. - Alexis Joly; Hervé Goëau; Christophe Botella; Stefan Kahl; Marion Poupard; Maximilien Servajean; Hervé Glotin; Pierre Bonnet; Willem-Pier Vellinga; Robert Planqué; Jan Schlüter; Fabian-Robert Stöter; et al. (ECIR (2), 2019)

Pourquoi dois-je croire ta prédiction ? Comment expliquer les résultats d'une classification automatique de sentiments à partir de textes. - Waleed Ragheb; Jérôme Azé; Sandra Bringay; Maximilien Servajean (IC, 2019)

LIRMM-Advanse at SemEval-2019 Task 3: Attentive Conversation Modeling for Emotion Detection and Classification. - Waleed Ragheb; Jérôme Azé; Sandra Bringay; Maximilien Servajean (SemEval@NAACL-HLT, 2019)

Attention-based Modeling for Emotion Detection and Classification in Textual Conversations. - Waleed Ragheb; Jérôme Azé; Sandra Bringay; Maximilien Servajean (CoRR, 2019)

Overview of LifeCLEF Location-based Species Prediction Task 2020 (GeoLifeCLEF). - Benjamin Deneu; Titouan Lorieul; Elijah Cole; Maximilien Servajean; Christophe Botella; Pierre Bonnet; Alexis Joly (CLEF (Working Notes), 2020)

Participation of LIRMM / Inria to the GeoLifeCLEF 2020 Challenge. - Benjamin Deneu; Maximilien Servajean; Pierre Bonnet; François Munoz; Alexis Joly (CLEF (Working Notes), 2020)

Overview of LifeCLEF 2020: A System-Oriented Evaluation of Automated Species Identification and Species Distribution Prediction. - Alexis Joly; Hervé Goëau; Stefan Kahl; Benjamin Deneu; Maximilien Servajean; Elijah Cole; Lukás Picek; Rafael Luis Ruiz De Castañeda; Isabelle Bolon; Andrew Durso; Titouan Lorieul; Christophe Botella; et al. (CLEF, 2020)

LifeCLEF 2020 Teaser: Biodiversity Identification and Prediction Challenges. - Alexis Joly; Hervé Goëau; Stefan Kahl; Christophe Botella; Rafael Luis Ruiz De Castaneda; Hervé Glotin; Elijah Cole; Julien Champ; Benjamin Deneu; Maximilien Servajean; Titouan Lorieul; Willem-Pier Vellinga; et al. (ECIR (2), 2020)

How Do Deep Convolutional SDM Trained on Satellite Images Unravel Vegetation Ecology? - Benjamin Deneu; Alexis Joly; Pierre Bonnet; Maximilien Servajean; François Munoz (ICPR Workshops (6), 2020)

The GeoLifeCLEF 2020 Dataset. - Elijah Cole; Benjamin Deneu; Titouan Lorieul; Maximilien Servajean; Christophe Botella; Dan Morris 001; Nebojsa Jojic; Pierre Bonnet; Alexis Joly (CoRR, 2020)

Overview of LifeCLEF 2021: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction. - Alexis Joly; Hervé Goëau; Stefan Kahl; Lukás Picek; Titouan Lorieul; Elijah Cole; Benjamin Deneu; Maximilien Servajean; Andrew Durso; Isabelle Bolon; Hervé Glotin; Robert Planqué; et al. (CLEF, 2021)

Overview of GeoLifeCLEF 2021: Predicting species distribution from 2 million remote sensing images. - Titouan Lorieul; Elijah Cole; Benjamin Deneu; Maximilien Servajean; Pierre Bonnet; Alexis Joly (CLEF (Working Notes), 2021)

LifeCLEF 2021 Teaser: Biodiversity Identification and Prediction Challenges. - Alexis Joly; Hervé Goëau; Elijah Cole; Stefan Kahl; Lukás Picek; Hervé Glotin; Benjamin Deneu; Maximilien Servajean; Titouan Lorieul; Willem-Pier Vellinga; Pierre Bonnet; Andrew Durso; et al. (ECIR (2), 2021)

EBBE-Text : Visualisation de la frontière de décision des réseaux de neurones en classification automatique de textes. - Alexis Delaforge; Jérôme Azé; Arnaud Sallaberry; Maximilien Servajean; Sandra Bringay; Caroline Mollevi (EGC, 2021)

Expliquer les prédictions des réseaux de neurones par l'exploration de l'espace de représentation et de la frontière de décision à l'aide d'EBBE-Text. - Alexis Delaforge; Jérôme Azé; Arnaud Sallaberry; Maximilien Servajean; Sandra Bringay; Caroline Mollevi (EGC, 2021)

Pl@ntNet-300K: a plant image dataset with high label ambiguity and a long-tailed distribution. - Camille Garcin; Alexis Joly; Pierre Bonnet; Antoine Affouard; Jean-Christophe Lombardo; Mathias Chouet; Maximilien Servajean; Titouan Lorieul; Joseph Salmon (NeurIPS Datasets and Benchmarks, 2021)

Controversy Detection: A Text and Graph Neural Network Based Approach. - Samy Benslimane; Jérôme Azé; Sandra Bringay; Maximilien Servajean; Caroline Mollevi (WISE (1), 2021)

Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment. - Benjamin Deneu; Maximilien Servajean; Pierre Bonnet; Christophe Botella; François Munoz; Alexis Joly (PLoS Comput. Biol., 2021)

Overview of LifeCLEF 2022: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction. - Alexis Joly; Hervé Goëau; Stefan Kahl; Lukás Picek; Titouan Lorieul; Elijah Cole; Benjamin Deneu; Maximilien Servajean; Andrew Durso; Hervé Glotin; Robert Planqué; Willem-Pier Vellinga; et al. (CLEF, 2022)

Species Distribution Modeling based on aerial images and environmental features with Convolutional Neural Networks. - César Leblanc; Alexis Joly; Titouan Lorieul; Maximilien Servajean; Pierre Bonnet (CLEF (Working Notes), 2022)

Overview of GeoLifeCLEF 2022: Predicting Species Presence from Multi-modal Remote Sensing, Bioclimatic and Pedologic Data. - Titouan Lorieul; Elijah Cole; Benjamin Deneu; Maximilien Servajean; Pierre Bonnet; Alexis Joly (CLEF (Working Notes), 2022)

LifeCLEF 2022 Teaser: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction. - Alexis Joly; Hervé Goëau; Stefan Kahl; Lukás Picek; Titouan Lorieul; Elijah Cole; Benjamin Deneu; Maximilien Servajean; Andrew Durso; Isabelle Bolon; Hervé Glotin; Robert Planqué; et al. (ECIR (2), 2022)

Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification. - Camille Garcin; Maximilien Servajean; Alexis Joly; Joseph Salmon (ICML, 2022)

Overview of GeoLifeCLEF 2023: Species Composition Prediction with High Spatial Resolution at Continental Scale Using Remote Sensing. - Christophe Botella; Benjamin Deneu; Diego Marcos Gonzalez; Maximilien Servajean; Théo Larcher; César Leblanc; Joaquim Estopinan; Pierre Bonnet; Alexis Joly (CLEF (Working Notes), 2023)

Overview of LifeCLEF 2023: Evaluation of AI Models for the Identification and Prediction of Birds, Plants, Snakes and Fungi. - Alexis Joly; Christophe Botella; Lukás Picek; Stefan Kahl; Hervé Goëau; Benjamin Deneu; Diego Marcos; Joaquim Estopinan; César Leblanc; Théo Larcher; Rail Chamidullin; Milan Sulc; et al. (CLEF, 2023)

Détection de la controverse : une approche basée sur les réseaux de neurones, appliquée aux graphes et aux textes. - Samy Benslimane; Jérôme Azé; Sandra Bringay; Caroline Mollevi; Maximilien Servajean (CNIA, 2023)

Panorama des outils de visualisation pour l'explicabilité en apprentissage profond pour le traitement automatique de la langue. - Alexis Delaforge; Jérôme Azé; Sandra Bringay; Arnaud Sallaberry; Maximilien Servajean (CNIA, 2023)

LifeCLEF 2023 Teaser: Species Identification and Prediction Challenges. - Alexis Joly; Hervé Goëau; Stefan Kahl; Lukás Picek; Christophe Botella; Diego Marcos; Milan Sulc; Marek Hrúz; Titouan Lorieul; Sara Si-Moussi; Maximilien Servajean; Benjamin Kellenberger; et al. (ECIR (3), 2023)

Apprendre à classer des textes hospitaliers rédigés en anglais selon la classification CIM-9 avec une approche par budget. - Leonardo Moros; Jérôme Azé; Sandra Bringay; Pascal Poncelet; Maximilien Servajean; Caroline Dunoyer (EGC, 2023)

ICDiscovery : Aide à l'annotation par une méthode de budget pour le codage CIM-9 des textes hospitaliers. - Leonardo Moros; Jérôme Azé; Sandra Bringay; Pascal Poncelet; Maximilien Servajean; Caroline Dunoyer (EGC, 2023)

Explaining controversy through community analysis on Twitter. - Samy Benslimane; Thomas Papastergiou; Jérôme Azé; Sandra Bringay; Caroline Mollevi; Maximilien Servajean (IDEAS, 2023)

Learning to Classify Medical Discharge Summaries According to ICD-9. - Leonardo Moros; Jérôme Azé; Sandra Bringay; Pascal Poncelet; Maximilien Servajean; Caroline Dunoyer (MIE, 2023)

Negatively Correlated Noisy Learners for At-Risk User Detection on Social Networks: A Study on Depression, Anorexia, Self-Harm, and Suicide. - Waleed Ragheb; Jérôme Azé; Sandra Bringay; Maximilien Servajean (IEEE Trans. Knowl. Data Eng., 2023)

A text and GNN based controversy detection method on social media. - Samy Benslimane; Jérôme Azé; Sandra Bringay; Maximilien Servajean; Caroline Mollevi (World Wide Web (WWW), 2023)

EBBE-Text: Explaining Neural Networks by Exploring Text Classification Decision Boundaries. - Alexis Delaforge; Jérôme Azé; Sandra Bringay; Caroline Mollevi; Arnaud Sallaberry; Maximilien Servajean (IEEE Trans. Vis. Comput. Graph., 2023)

MALPOLON: A Framework for Deep Species Distribution Modeling. - Théo Larcher; Lukás Picek; Benjamin Deneu; Titouan Lorieul; Maximilien Servajean; Alexis Joly (BMVC Workshops, 2024)

Overview of LifeCLEF 2024: Challenges on Species Distribution Prediction and Identification. - Alexis Joly; Lukás Picek; Stefan Kahl; Hervé Goëau; Vincent Espitalier; Christophe Botella; Diego Marcos; Joaquim Estopinan; César Leblanc; Théo Larcher; Milan Sulc; Marek Hrúz; et al. (CLEF (2), 2024)

Overview of GeoLifeCLEF 2024: Species Composition Prediction with High Spatial Resolution at Continental Scale using Remote Sensing. - Lukás Picek; Christophe Botella; Maximilien Servajean; César Leblanc; Rémi Palard; Théo Larcher; Benjamin Deneu; Diego Marcos; Joaquim Estopinan; Pierre Bonnet; Alexis Joly (CLEF (Working Notes), 2024)

LifeCLEF 2024 Teaser: Challenges on Species Distribution Prediction and Identification. - Alexis Joly; Lukás Picek; Stefan Kahl; Hervé Goëau; Vincent Espitalier; Christophe Botella; Benjamin Deneu; Diego Marcos; Joaquim Estopinan; César Leblanc; Théo Larcher; Milan Sulc; et al. (ECIR (6), 2024)

GeoPlant: Spatial Plant Species Prediction Dataset. - Lukás Picek; Christophe Botella; Maximilien Servajean; César Leblanc; Rémi Palard; Théo Larcher; Benjamin Deneu; Diego Marcos; Pierre Bonnet; Alexis Joly (NeurIPS, 2024)

AI-based Mapping of the Conservation Status of Orchid Assemblages at Global Scale. - Joaquim Estopinan; Maximilien Servajean; Pierre Bonnet; Alexis Joly; François Munoz (CoRR, 2024)

Modelling Species Distributions with Deep Learning to Predict Plant Extinction Risk and Assess Climate Change Impacts. - Joaquim Estopinan; Pierre Bonnet; Maximilien Servajean; François Munoz; Alexis Joly (CoRR, 2024)

Applying the maximum entropy principle to multi-species neural networks improves species distribution models. - Maxime Ryckewaert; Diego Marcos; Christophe Botella; Maximilien Servajean; Pierre Bonnet; Alexis Joly (CoRR, 2024)

Mapping global orchid assemblages with deep learning provides novel conservation insights. - Joaquim Estopinan; Maximilien Servajean; Pierre Bonnet; Alexis Joly; François Munoz (Ecol. Informatics, 2024)

A SHAP-based controversy analysis through communities on Twitter. - Samy Benslimane; Thomas Papastergiou; Jérôme Azé; Sandra Bringay; Maximilien Servajean; Caroline Mollevi (World Wide Web (WWW), 2024)

Overview of LifeCLEF 2025: Challenges on Species Presence Prediction and Identification, and Individual Animal Identification. - Lukás Picek; Stefan Kahl; Hervé Goëau; Lukás Adam; Théo Larcher; César Leblanc; Maximilien Servajean; Klára Janousková; Jirí Matas; Vojtech Cermák; Kostas Papafitsoros; Robert Planqué; et al. (CLEF, 2025)

Mapping biodiversity at very-high resolution in Europe. - César Leblanc; Lukás Picek; Rémi Palard; Benjamin Deneu; Maximilien Servajean; Pierre Bonnet; Alexis Joly (CVPR Workshops, 2025)

LifeCLEF 2025 Teaser: Challenges on Species Presence Prediction and Identification, and Individual Animal Identification. - Alexis Joly; Lukás Picek; Stefan Kahl; Hervé Goëau; Lukás Adam; Christophe Botella; Maximilien Servajean; Diego Marcos; César Leblanc; Théo Larcher; Jirí Matas; Klára Janousková; et al. (ECIR (5), 2025)

A Two-Head Loss Function for Deep Average-K Classification. - Camille Garcin; Maximilien Servajean; Alexis Joly; Joseph Salmon (WACV, 2025)

Conformal taxonomic validation: A semi-automated validation framework for citizen science records. - Matthieu de Castelbajac; Sandra Bringay; Arnaud Sallaberry; Maximilien Servajean; Clémence Epinoux; Juan Carlos Molinero; Delphine Bonnet (Ecol. Informatics, 2025)