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ORCIDMaximilien Servajean
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2020 – today
- 2024
[j10]Joaquim Estopinan, Maximilien Servajean, Pierre Bonnet, Alexis Joly, François Munoz:
Mapping global orchid assemblages with deep learning provides novel conservation insights. Ecol. Informatics 81: 102627 (2024)- [j9]Samy Benslimane, Thomas Papastergiou, Jérôme Azé, Sandra Bringay, Maximilien Servajean, Caroline Mollevi:
A SHAP-based controversy analysis through communities on Twitter. World Wide Web (WWW) 27(5): 65 (2024) - [c45]Alexis Joly
, Lukás Picek, Stefan Kahl, Hervé Goëau, Vincent Espitalier, Christophe Botella, Diego Marcos, Joaquim Estopinan, César Leblanc, Théo Larcher, Milan Sulc, Marek Hrúz, Maximilien Servajean, Hervé Glotin, Robert Planqué, Willem-Pier Vellinga, Holger Klinck, Tom Denton, Ivan Eggel, Pierre Bonnet, Henning Müller:
Overview of LifeCLEF 2024: Challenges on Species Distribution Prediction and Identification. CLEF (2) 2024: 183-207 - [c44]Lukás Picek, Christophe Botella, Maximilien Servajean, César Leblanc, Rémi Palard, Théo Larcher, Benjamin Deneu, Diego Marcos, Joaquim Estopinan, Pierre Bonnet, Alexis Joly:
Overview of GeoLifeCLEF 2024: Species Composition Prediction with High Spatial Resolution at Continental Scale using Remote Sensing. CLEF (Working Notes) 2024: 1966-1977 - [c43]Alexis Joly, Lukás Picek, Stefan Kahl, Hervé Goëau, Vincent Espitalier, Christophe Botella, Benjamin Deneu, Diego Marcos, Joaquim Estopinan, César Leblanc, Théo Larcher, Milan Sulc, Marek Hrúz, Maximilien Servajean, Jirí Matas, Hervé Glotin, Robert Planqué, Willem-Pier Vellinga, Holger Klinck, Tom Denton, Andrew M. Durso, Ivan Eggel, Pierre Bonnet, Henning Müller:
LifeCLEF 2024 Teaser: Challenges on Species Distribution Prediction and Identification. ECIR (6) 2024: 19-27 - [i11]Joaquim Estopinan, Maximilien Servajean, Pierre Bonnet, Alexis Joly, François Munoz:
AI-based Mapping of the Conservation Status of Orchid Assemblages at Global Scale. CoRR abs/2401.04691 (2024) - [i10]Joaquim Estopinan, Pierre Bonnet, Maximilien Servajean, François Munoz, Alexis Joly:
Modelling Species Distributions with Deep Learning to Predict Plant Extinction Risk and Assess Climate Change Impacts. CoRR abs/2401.05470 (2024) - [i9]Lukás Picek, Christophe Botella, Maximilien Servajean, César Leblanc, Rémi Palard, Théo Larcher, Benjamin Deneu, Diego Marcos, Pierre Bonnet, Alexis Joly:
GeoPlant: Spatial Plant Species Prediction Dataset. CoRR abs/2408.13928 (2024) - [i8]Théo Larcher, Lukás Picek, Benjamin Deneu, Titouan Lorieul, Maximilien Servajean, Alexis Joly:
MALPOLON: A Framework for Deep Species Distribution Modeling. CoRR abs/2409.18102 (2024) - 2023
- [j8]Waleed Ragheb, Jérôme Azé, Sandra Bringay, Maximilien Servajean:
Negatively Correlated Noisy Learners for At-Risk User Detection on Social Networks: A Study on Depression, Anorexia, Self-Harm, and Suicide. IEEE Trans. Knowl. Data Eng. 35(1): 770-783 (2023) - [j7]Alexis Delaforge, Jérôme Azé, Sandra Bringay, Caroline Mollevi, Arnaud Sallaberry, Maximilien Servajean:
EBBE-Text: Explaining Neural Networks by Exploring Text Classification Decision Boundaries. IEEE Trans. Vis. Comput. Graph. 29(10): 4154-4171 (2023) - [j6]Samy Benslimane, Jérôme Azé, Sandra Bringay, Maximilien Servajean, Caroline Mollevi:
A text and GNN based controversy detection method on social media. World Wide Web (WWW) 26(2): 799-825 (2023) - [c42]Alexis Joly, Christophe Botella, Lukás Picek, Stefan Kahl, Hervé Goëau, Benjamin Deneu, Diego Marcos, Joaquim Estopinan, César Leblanc, Théo Larcher, Rail Chamidullin, Milan Sulc, Marek Hrúz, Maximilien Servajean, Hervé Glotin, Robert Planqué, Willem-Pier Vellinga, Holger Klinck, Tom Denton, Ivan Eggel, Pierre Bonnet, Henning Müller:
Overview of LifeCLEF 2023: Evaluation of AI Models for the Identification and Prediction of Birds, Plants, Snakes and Fungi. CLEF 2023: 416-439 - [c41]Christophe Botella, Benjamin Deneu, Diego Marcos Gonzalez, Maximilien Servajean, Théo Larcher, César Leblanc, Joaquim Estopinan, Pierre Bonnet, Alexis Joly:
Overview of GeoLifeCLEF 2023: Species Composition Prediction with High Spatial Resolution at Continental Scale Using Remote Sensing. CLEF (Working Notes) 2023: 1954-1971 - [c40]Samy Benslimane, Jérôme Azé, Sandra Bringay, Caroline Mollevi, Maximilien Servajean:
Détection de la controverse : une approche basée sur les réseaux de neurones, appliquée aux graphes et aux textes. CNIA 2023: 50-51 - [c39]Alexis Delaforge, Jérôme Azé, Sandra Bringay, Arnaud Sallaberry, Maximilien Servajean:
Panorama des outils de visualisation pour l'explicabilité en apprentissage profond pour le traitement automatique de la langue. CNIA 2023: 99-108 - [c38]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, Elijah Cole, Andrew Durso, Hervé Glotin, Robert Planqué, Willem-Pier Vellinga, Holger Klinck, Tom Denton, Ivan Eggel, Pierre Bonnet, Henning Müller:
LifeCLEF 2023 Teaser: Species Identification and Prediction Challenges. ECIR (3) 2023: 568-576 - [c37]Leonardo Moros, Jérôme Azé, Sandra Bringay, Pascal Poncelet, Maximilien Servajean, Caroline Dunoyer:
Apprendre à classer des textes hospitaliers rédigés en anglais selon la classification CIM-9 avec une approche par budget. EGC 2023: 337-344 - [c36]Leonardo Moros, Jérôme Azé, Sandra Bringay, Pascal Poncelet, Maximilien Servajean, Caroline Dunoyer:
ICDiscovery : Aide à l'annotation par une méthode de budget pour le codage CIM-9 des textes hospitaliers. EGC 2023: 605-612 - [c35]Samy Benslimane, Thomas Papastergiou, Jérôme Azé, Sandra Bringay, Caroline Mollevi, Maximilien Servajean:
Explaining controversy through community analysis on Twitter. IDEAS 2023: 148-155 - [c34]Leonardo Moros, Jérôme Azé, Sandra Bringay, Pascal Poncelet, Maximilien Servajean, Caroline Dunoyer:
Learning to Classify Medical Discharge Summaries According to ICD-9. MIE 2023: 773-777 - [i7]Camille Garcin, Maximilien Servajean, Alexis Joly, Joseph Salmon:
A two-head loss function for deep Average-K classification. CoRR abs/2303.18118 (2023) - 2022
- [c33]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, Amanda Navine, Holger Klinck, Tom Denton, Ivan Eggel, Pierre Bonnet, Milan Sulc, Marek Hrúz:
Overview of LifeCLEF 2022: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction. CLEF 2022: 257-285 - [c32]Titouan Lorieul, Elijah Cole, Benjamin Deneu, Maximilien Servajean, Pierre Bonnet, Alexis Joly:
Overview of GeoLifeCLEF 2022: Predicting Species Presence from Multi-modal Remote Sensing, Bioclimatic and Pedologic Data. CLEF (Working Notes) 2022: 1940-1956 - [c31]César Leblanc, Alexis Joly, Titouan Lorieul, Maximilien Servajean, Pierre Bonnet:
Species Distribution Modeling based on aerial images and environmental features with Convolutional Neural Networks. CLEF (Working Notes) 2022: 2123-2150 - [c30]Alexis Joly, Hervé Goëau, Stefan Kahl, Lukás Picek, Titouan Lorieul, Elijah Cole, Benjamin Deneu, Maximilien Servajean, Andrew Durso, Isabelle Bolon, Hervé Glotin, Robert Planqué, Willem-Pier Vellinga, Holger Klinck, Tom Denton, Ivan Eggel, Pierre Bonnet, Henning Müller, Milan Sulc:
LifeCLEF 2022 Teaser: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction. ECIR (2) 2022: 390-399 - [c29]Camille Garcin, Maximilien Servajean, Alexis Joly, Joseph Salmon:
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification. ICML 2022: 7208-7222 - [i6]Camille Garcin, Maximilien Servajean, Alexis Joly, Joseph Salmon:
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification. CoRR abs/2202.02193 (2022) - 2021
- [j5]Benjamin Deneu, Maximilien Servajean, Pierre Bonnet, Christophe Botella, François Munoz, Alexis Joly:
Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment. PLoS Comput. Biol. 17(4) (2021) - [c28]Alexis Joly, Hervé Goëau, Stefan Kahl, Lukás Picek, Titouan Lorieul, Elijah Cole, Benjamin Deneu, Maximilien Servajean, Andrew Durso, Isabelle Bolon, Hervé Glotin, Robert Planqué, Rafael Luis Ruiz De Castaneda, Willem-Pier Vellinga, Holger Klinck, Tom Denton, Ivan Eggel, Pierre Bonnet, Henning Müller:
Overview of LifeCLEF 2021: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction. CLEF 2021: 371-393 - [c27]Titouan Lorieul, Elijah Cole, Benjamin Deneu, Maximilien Servajean, Pierre Bonnet, Alexis Joly:
Overview of GeoLifeCLEF 2021: Predicting species distribution from 2 million remote sensing images. CLEF (Working Notes) 2021: 1451-1462 - [c26]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, Rafael Luis Ruiz De Castaneda, Ivan Eggel, Henning Müller:
LifeCLEF 2021 Teaser: Biodiversity Identification and Prediction Challenges. ECIR (2) 2021: 601-607 - [c25]Alexis Delaforge, Jérôme Azé, Arnaud Sallaberry, Maximilien Servajean, Sandra Bringay, Caroline Mollevi:
EBBE-Text : Visualisation de la frontière de décision des réseaux de neurones en classification automatique de textes. EGC 2021: 169-180 - [c24]Alexis Delaforge, Jérôme Azé, Arnaud Sallaberry, Maximilien Servajean, Sandra Bringay, Caroline Mollevi:
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. EGC 2021: 485-492 - [c23]Camille Garcin, Alexis Joly, Pierre Bonnet, Antoine Affouard, Jean-Christophe Lombardo, Mathias Chouet, Maximilien Servajean, Titouan Lorieul, Joseph Salmon:
Pl@ntNet-300K: a plant image dataset with high label ambiguity and a long-tailed distribution. NeurIPS Datasets and Benchmarks 2021 - [c22]Samy Benslimane, Jérôme Azé, Sandra Bringay, Maximilien Servajean, Caroline Mollevi:
Controversy Detection: A Text and Graph Neural Network Based Approach. WISE (1) 2021: 339-354 - [i5]Samy Benslimane, Jérôme Azé, Sandra Bringay, Maximilien Servajean, Caroline Mollevi:
Controversy Detection: a Text and Graph Neural Network Based Approach. CoRR abs/2112.11445 (2021) - 2020
- [c21]Benjamin Deneu, Titouan Lorieul, Elijah Cole, Maximilien Servajean, Christophe Botella, Pierre Bonnet, Alexis Joly:
Overview of LifeCLEF Location-based Species Prediction Task 2020 (GeoLifeCLEF). CLEF (Working Notes) 2020 - [c20]Benjamin Deneu, Maximilien Servajean, Pierre Bonnet, François Munoz, Alexis Joly:
Participation of LIRMM / Inria to the GeoLifeCLEF 2020 Challenge. CLEF (Working Notes) 2020 - [c19]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, Hervé Glotin, Julien Champ, Ivan Eggel, Willem-Pier Vellinga, Pierre Bonnet, Henning Müller:
Overview of LifeCLEF 2020: A System-Oriented Evaluation of Automated Species Identification and Species Distribution Prediction. CLEF 2020: 342-363 - [c18]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, Fabian-Robert Stöter, Andrew Durso, Pierre Bonnet, Henning Müller:
LifeCLEF 2020 Teaser: Biodiversity Identification and Prediction Challenges. ECIR (2) 2020: 542-549 - [c17]Benjamin Deneu, Alexis Joly, Pierre Bonnet, Maximilien Servajean, François Munoz:
How Do Deep Convolutional SDM Trained on Satellite Images Unravel Vegetation Ecology? ICPR Workshops (6) 2020: 148-158 - [i4]Elijah Cole, Benjamin Deneu, Titouan Lorieul, Maximilien Servajean, Christophe Botella, Dan Morris, Nebojsa Jojic, Pierre Bonnet, Alexis Joly:
The GeoLifeCLEF 2020 Dataset. CoRR abs/2004.04192 (2020)
2010 – 2019
- 2019
- [c16]Christophe Botella, Maximilien Servajean, Pierre Bonnet, Alexis Joly:
Overview of GeoLifeCLEF 2019: Plant Species Prediction using Environment and Animal Occurrences. CLEF (Working Notes) 2019 - [c15]Benjamin Deneu, Maximilien Servajean, Christophe Botella, Alexis Joly:
Evaluation of Deep Species Distribution Models Using Environment and Co-occurrences. CLEF 2019: 213-225 - [c14]Alexis Joly, Hervé Goëau, Christophe Botella, Stefan Kahl, Maximilien Servajean, Hervé Glotin, Pierre Bonnet, Robert Planqué, Fabian-Robert Stöter, Willem-Pier Vellinga, Henning Müller:
Overview of LifeCLEF 2019: Identification of Amazonian Plants, South & North American Birds, and Niche Prediction. CLEF 2019: 387-401 - [c13]Mathilde Negri, Maximilien Servajean, Benjamin Deneu, Alexis Joly:
Location-Based Plant Species Prediction Using A CNN Model Trained On Several Kingdoms - Best Method Of GeoLifeCLEF 2019 Challenge. CLEF (Working Notes) 2019 - [c12]Waleed Ragheb, Jérôme Azé, Sandra Bringay, Maximilien Servajean:
Language Modeling in Temporal Mood Variation Models for Early Risk Detection on the Internet. CLEF 2019: 248-259 - [c11]Waleed Ragheb, Jérôme Azé, Sandra Bringay, Maximilien Servajean:
Attentive Multi-stage Learning for Early Risk Detection of Signs of Anorexia and Self-harm on Social Media. CLEF (Working Notes) 2019 - [c10]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, Henning Müller:
LifeCLEF 2019: Biodiversity Identification and Prediction Challenges. ECIR (2) 2019: 275-282 - [c9]Waleed Ragheb, Jérôme Azé, Sandra Bringay, Maximilien Servajean:
Pourquoi dois-je croire ta prédiction ? Comment expliquer les résultats d'une classification automatique de sentiments à partir de textes. IC 2019: 112-124 - [c8]Waleed Ragheb, Jérôme Azé, Sandra Bringay, Maximilien Servajean:
LIRMM-Advanse at SemEval-2019 Task 3: Attentive Conversation Modeling for Emotion Detection and Classification. SemEval@NAACL-HLT 2019: 251-255 - [i3]Waleed Ragheb, Jérôme Azé, Sandra Bringay, Maximilien Servajean:
Attention-based Modeling for Emotion Detection and Classification in Textual Conversations. CoRR abs/1906.07020 (2019) - [i2]Benjamin Deneu, Maximilien Servajean, Christophe Botella, Alexis Joly:
Evaluation of Deep Species Distribution Models using Environment and Co-occurrences. CoRR abs/1909.08825 (2019) - 2018
- [j4]Maximilien Servajean, Romain Chailan, Alexis Joly:
Non-parametric Bayesian annotator combination. Inf. Sci. 436-437: 131-145 (2018) - [c7]Benjamin Deneu, Maximilien Servajean, Christophe Botella, Alexis Joly:
Location-based Species Recommendation using Co-occurrences and Environment- GeoLifeCLEF 2018 Challenge. CLEF (Working Notes) 2018 - [c6]Waleed Ragheb, Bilel Moulahi, Jérôme Azé, Sandra Bringay, Maximilien Servajean:
Temporal Mood Variation: at the CLEF eRisk-2018 Tasks for Early Risk Detection on The Internet. CLEF (Working Notes) 2018 - [c5]Waleed Mohamed Azmy, Bilel Moulahi, Sandra Bringay, Maximilien Servajean:
LIRMM@DEFT-2018 - Modèle de classification de la vectorisation des documents (LIRMM DEFT-2018 - Document Vectorization Classification model ). CORIA-TALN-RJC (DeFT) 2018: 319-322 - [i1]Mohamed Reda Bouadjenek, Esther Pacitti, Maximilien Servajean, Florent Masseglia, Amr El Abbadi:
A Distributed Collaborative Filtering Algorithm Using Multiple Data Sources. CoRR abs/1807.05853 (2018) - 2017
- [j3]Maximilien Servajean, Alexis Joly, Dennis E. Shasha, Julien Champ, Esther Pacitti:
Crowdsourcing Thousands of Specialized Labels: A Bayesian Active Training Approach. IEEE Trans. Multim. 19(6): 1376-1391 (2017) - 2016
- [c4]Maximilien Servajean, Alexis Joly, Dennis E. Shasha, Julien Champ, Esther Pacitti:
ThePlantGame: Actively Training Human Annotators for Domain-specific Crowdsourcing. ACM Multimedia 2016: 720-721 - 2015
- [j2]Maximilien Servajean, Reza Akbarinia, Esther Pacitti, Sihem Amer-Yahia:
Profile Diversity for Query Processing using User Recommendations. Inf. Syst. 48: 44-63 (2015) - [j1]Maximilien Servajean, Esther Pacitti, Miguel Liroz-Gistau, Sihem Amer-Yahia, Amr El Abbadi:
Increasing Coverage in Distributed Search and Recommendation with Profile Diversity. Trans. Large Scale Data Knowl. Centered Syst. 22: 115-144 (2015) - [c3]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 (Working Notes) 2015 - 2014
- [b1]Maximilien Servajean:
Recommandation Diversifiée et Distribuée pour les Données Scientifiques. (Diversified and Distributed Recommendation for Scientific Data). Montpellier 2 University, France, 2014 - [c2]Maximilien Servajean, Esther Pacitti, Miguel Liroz-Gistau, Sihem Amer-Yahia, Amr El Abbadi:
Exploiting Diversification in Gossip-Based Recommendation. Globe 2014: 25-36 - 2013
- [c1]Maximilien Servajean, Esther Pacitti, Sihem Amer-Yahia, Pascal Neveu:
Profile diversity in search and recommendation. WWW (Companion Volume) 2013: 973-980
Coauthor Index
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