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48

Maximilien Servajean


Journal articles9 documents

  • Joaquim Estopinan, Maximilien Servajean, Pierre Bonnet, François Munoz, Alexis Joly. Deep Species Distribution Modeling From Sentinel-2 Image Time-Series: A Global Scale Analysis on the Orchid Family. Frontiers in Plant Science, Frontiers, In press, 13, ⟨10.3389/fpls.2022.839327⟩. ⟨hal-03693593⟩
  • Benjamin Deneu, Alexis Joly, Pierre Bonnet, Maximilien Servajean, François Munoz. Very High Resolution Species Distribution Modeling Based on Remote Sensing Imagery: How to Capture Fine-Grained and Large-Scale Vegetation Ecology With Convolutional Neural Networks?. Frontiers in Plant Science, Frontiers, In press, 13, ⟨10.3389/fpls.2022.839279⟩. ⟨hal-03695760⟩
  • Benjamin Deneu, Maximilien Servajean, Pierre Bonnet, Christophe Botella, François Munoz, et al.. Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment. PLoS Computational Biology, Public Library of Science, 2021, 17 (4), pp.e1008856. ⟨10.1371/journal.pcbi.1008856⟩. ⟨hal-03220977⟩
  • Pierre Bonnet, Julien Champ, Hervé Goëau, Fabian-Robert Stöter, Benjamin Deneu, et al.. Biodiversity Information Science and Standards 4: e58933 Pl@ntNet Services, a Contribution to the Monitoring and Sharing of Information on the World Flora. Biodiversity Information Science and Standards, Sofia : Pensoft Publishers, 2017-, 2020, 4, ⟨10.3897/biss.4.58933⟩. ⟨hal-02973673⟩
  • Pierre Bonnet, Alexis Joly, Jean-Michel Faton, Susan Brown, David Kimiti, et al.. How citizen scientists contribute to monitor protected areas thanks to automatic plant identification tools. Ecological Solutions and Evidence, Wiley, 2020, 1 (2), ⟨10.1002/2688-8319.12023⟩. ⟨hal-02937618⟩
  • Maximilien Servajean, Romain Chailan, Alexis Joly. Non-parametric Bayesian annotator combination. Information Sciences, Elsevier, 2018, 436-437, pp.131-145. ⟨10.1016/j.ins.2018.01.020⟩. ⟨lirmm-01703020⟩
  • Maximilien Servajean, Alexis Joly, Dennis Shasha, Julien Champ, Esther Pacitti. Crowdsourcing Thousands of Specialized Labels: A Bayesian Active Training Approach. IEEE Transactions on Multimedia, Institute of Electrical and Electronics Engineers, 2017, 19 (6), pp.1376-1391. ⟨10.1109/TMM.2017.2653763⟩. ⟨hal-01629149⟩
  • Maximilien Servajean, Reza Akbarinia, Esther Pacitti, Sihem Amer-yahia. Profile Diversity for Query Processing using User Recommendations. Information Systems, Elsevier, 2015, Information Systems, 48, pp.44-63. ⟨10.1016/j.is.2014.09.001⟩. ⟨lirmm-01079523⟩
  • Maximilien Servajean, Esther Pacitti, Miguel Liroz-Gistau, Sihem Amer-yahia, Amr El Abbadi. Increasing Coverage in Distributed Search and Recommendation with Profile Diversity. Transactions on Large-Scale Data- and Knowledge-Centered Systems, Springer Berlin / Heidelberg, 2015, LNCS (9430), pp.115-144. ⟨10.1007/978-3-662-48567-5_4⟩. ⟨lirmm-01177817⟩

Conference papers27 documents

  • Samy Benslimane, Jérôme Azé, Sandra Bringay, Maximilien Servajean, Caroline Mollevi. Controversy Detection: a Text and Graph Neural Network Based Approach. WISE 2021 - 22nd International Conference on Web Information Systems Engineering, Oct 2021, Melbourne, Australia. pp.339-354, ⟨10.1007/978-3-030-90888-1_26⟩. ⟨hal-03464243⟩
  • Titouan Lorieul, Elijah Cole, Benjamin Deneu, Maximilien Servajean, Pierre Bonnet, et al.. Overview of GeoLifeCLEF 2021: Predicting species distribution from 2 million remote sensing images. Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Guglielmo Faggioli; Nicola Ferro; Alexis Joly; Maria Maistro; Florina Piroi, Sep 2021, Bucarest, Romania. pp.1451-1462. ⟨hal-03353487⟩
  • Alexis Joly, Antoine Affouard, Mathias Chouet, Benjamin Deneu, Joaquim Estopinan, et al.. Pl@ntNet, ten years of automatic plant identification and monitoring. IUCN - Congrès mondial de la nature, IUCN, Sep 2021, Marseille, France. ⟨hal-03343235⟩
  • Camille Garcin, Alexis Joly, Pierre Bonnet, Jean-Christophe Lombardo, Antoine Affouard, et al.. Pl@ntNet-300K: a plant image dataset with high label ambiguity and a long-tailed distribution. NeurIPS 2021 - 35th Conference on Neural Information Processing Systems, Dec 2021, Virtual Conference, France. ⟨hal-03474556v2⟩
  • Benjamin Deneu, Alexis Joly, Pierre Bonnet, Maximilien Servajean, François Munoz. How Do Deep Convolutional SDM Trained on Satellite Images Unravel Vegetation Ecology ?. ICPR 2020 - 25th International Conference on Pattern Recognition, Alberto Del Bimbo; Rita Cucchiara; Stan Sclaroff; Giovanni Maria Farinella; Tao Mei; Marco Bertini; Hugo Jair Escalante; Roberto Vezzani, Jan 2021, Milan / Virtual, Italy. pp.148-158, ⟨10.1007/978-3-030-68780-9_15⟩. ⟨hal-03167637⟩
  • 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-02873670⟩
  • 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. ⟨hal-02989077⟩
  • 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-02945382⟩
  • Waleed Ragheb, Jérôme Azé, Sandra Bringay, Maximilien Servajean. LIRMM-Advanse at SemEval-2019 Task 3: Attentive Conversation Modeling for Emotion Detection and Classification. SemEval: Semantic Evaluation in NAACL-HLT, Jun 2019, Minneapolis, MN, United States. pp.251-255. ⟨lirmm-02145395⟩
  • Alexis Joly, Hervé Goëau, Christophe Botella, Stefan Kahl, Marion Poupard, et al.. LifeCLEF 2019: Biodiversity Identification and Prediction Challenges. ECIR 2019 - 41st European Conference on IR Research, Apr 2019, Cologne, Germany. pp.275-282, ⟨10.1007/978-3-030-15719-7_37⟩. ⟨hal-02273257⟩
  • Alexis Joly, Hervé Goëau, Christophe Botella, Stefan Kahl, Maximilien Servajean, et al.. Overview of LifeCLEF 2019: Identification of Amazonian Plants, South & North American Birds, and Niche Prediction. CLEF 2019 - 10th International Conference of the Cross-Language Evaluation Forum for European Languages, Sep 2019, Lugano, Switzerland. pp.387-401, ⟨10.1007/978-3-030-28577-7_29⟩. ⟨hal-02281455⟩
  • 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 2019 Working Notes - Conference and Labs of the Evaluation Forum, Sep 2019, Lugano, Switzerland. pp.#126. ⟨lirmm-03525311⟩
  • Christophe Botella, Maximilien Servajean, Pierre Bonnet, Alexis Joly. Overview of GeoLifeCLEF 2019: plant species prediction using environment and animal occurrences. CLEF 2019 Working Notes - Conference and Labs of the Evaluation Forum, Sep 2019, Lugano, Switzerland. pp.#257. ⟨hal-02190170⟩
  • 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 - 30es Journées francophones d'Ingénierie des Connaissances, AFIA, Jul 2019, Toulouse, France. pp.112-124. ⟨hal-02556888⟩
  • Benjamin Deneu, Maximilien Servajean, Christophe Botella, Alexis Joly. Evaluation of Deep Species Distribution Models using Environment and Co-occurrences. CLEF 2019 - 10th International Conference of the Cross-Language Evaluation Forum for European Languages, Sep 2019, Lugano, Switzerland. pp.213-225, ⟨10.1007/978-3-030-28577-7_18⟩. ⟨hal-02290310⟩
  • 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 2019 Working Notes - Conference and Labs of the Evaluation Forum, Sep 2019, Lugano, Switzerland. pp.#97. ⟨hal-02392637⟩
  • Waleed Ragheb, Bilel Moulahi, Sandra Bringay, Jérôme Azé, Maximilien Servajean. LIRMM@DEFT-2018 – Modèle de classification de la vectorisation des documents. DEFT: Défi Fouille de Textes, May 2018, Rennes, France. ⟨lirmm-02000139⟩
  • 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. Working Notes of CLEF 2018 - Conference and Labs of the Evaluation Forum, Sep 2018, Avignon, France. ⟨lirmm-01989632⟩
  • Mohamed Reda Bouadjenek, Esther Pacitti, Maximilien Servajean, Florent Masseglia, Amr Abbadi. A Distributed Collaborative Filtering Algorithm Using Multiple Data Sources. DBKDA: Advances in Databases, Knowledge, and Data Applications, May 2018, Nice, France. ⟨hal-01911684⟩
  • Benjamin Deneu, Maximilien Servajean, Christophe Botella, Alexis Joly. Location-based species recommendation using co-occurrences and environment- GeoLifeCLEF 2018 challenge. Working Notes of CLEF 2018 - Conference and Labs of the Evaluation Forum, Sep 2018, Avignon, France. ⟨hal-01913241⟩
  • Maximilien Servajean, Alexis Joly, Dennis Shasha, Julien Champ, Esther Pacitti. ThePlantGame: Actively Training Human Annotators for Domain-specific Crowdsourcing. MM: Conference on Multimedia, Oct 2016, Amsterdam, Netherlands. pp.720-721, ⟨10.1145/2964284.2973820⟩. ⟨hal-01373769⟩
  • 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-01182788⟩
  • Maximilien Servajean, Esther Pacitti, Miguel Liroz-Gistau, Alexis Joly, Julien Champ. PlantRT : a Distributed Recommendation Tool for Citizen Science. BDA: Gestion de Données — Principes, Technologies et Applications, Oct 2014, Autrans, France. pp.48-50. ⟨hal-01163819⟩
  • Maximilien Servajean, Esther Pacitti, Miguel Liroz-Gistau, Sihem Amer-yahia, Amr El Abbadi. Exploiting Diversification in Gossip-Based Recommendation. Globe, Sep 2014, Munich, Germany. pp.25-36, ⟨10.1007/978-3-319-10067-8_3⟩. ⟨lirmm-01088730⟩
  • Maximilien Servajean, Esther Pacitti, Miguel Liroz-Gistau, Sihem Amer-yahia, Amr El Abbadi. Exploiting Diversification in Distributed Recommendation. BDA: Gestion de Données — Principes, Technologies et Applications, IMAG, Oct 2014, Autrans, France. ⟨lirmm-01177564⟩
  • Maximilien Servajean, Esther Pacitti, Sihem Amer-yahia, Pascal Neveu. Profile Diversity in Search and Recommendation. SRS: Social Recommender Systems (in conjunction WWW 2013), May 2013, Rio de Janeiro, Brazil. pp.973-980, ⟨10.1145/2487788.2488094⟩. ⟨lirmm-00806676⟩
  • Maximilien Servajean, Esther Pacitti, Sihem Amer-yahia, Pascal Neveu. Profile Diversity for Phenotyping Data Search and Recommendation. BDA: Bases de Données Avancées, Oct 2013, Nantes, France. ⟨lirmm-00879575⟩

Poster communications1 document

  • Maximilien Servajean, Esther Pacitti, Miguel Liroz-Gistau, Alexis Joly, Julien Champ. PlantRT : a Distributed and Diversified Recommendation Tool for Citizen Sciences. BDA: Gestion de Données — Principes, Technologies et Applications, Oct 2014, Autrans, France. 30ème Conférence sur la Gestion de Données — Principes, Technologies et Applications, 2014. ⟨lirmm-01088733⟩

Book sections2 documents

  • Alexis Joly, Hervé Goëau, Stefan Kahl, Lukáš Picek, Titouan Lorieul, et al.. LifeCLEF 2022 Teaser: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction. Advances in Information Retrieval, 13186, Springer International Publishing, pp.390-399, 2022, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-99739-7_49⟩. ⟨hal-03641389⟩
  • Alexis Joly, Hervé Goëau, Stefan Kahl, Lukáš Picek, Titouan Lorieul, et al.. Overview of LifeCLEF 2021: an evaluation of Machine-Learning based Species Identification and Species Distribution Prediction. 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⟩. ⟨hal-03415990⟩

Preprints, Working Papers, ...2 documents

  • Benjamin Deneu, Maximilien Servajean, Pierre Bonnet, François Munoz, Alexis Joly. Participation of LIRMM / Inria to the GeoLifeCLEF 2020 challenge. 2020. ⟨hal-02989084⟩
  • Elijah Cole, Benjamin Deneu, Titouan Lorieul, Maximilien Servajean, Christophe Botella, et al.. The GeoLifeCLEF 2020 Dataset. 2020. ⟨hal-02989062⟩

Reports2 documents

  • Maximilien Servajean, Esther Pacitti, Sihem Amer-yahia, Amr El Abbadi, Pascal Neveu. Profile Diversity for P2P Search and Recommendation. RR-13017, 2013. ⟨lirmm-00829308⟩
  • Maximilien Servajean, Esther Pacitti, Sihem Amer-yahia, Pascal Neveu. Profile Diversity in Search and Recommendation. RR-13002, 2013. ⟨lirmm-00794814⟩

Theses2 documents

  • Maximilien Servajean. Recommandation Diversifiée et Distribuée pour les Données Scientifiques. Recherche d'information [cs.IR]. Université Montpellier 2, 2014. Français. ⟨tel-01098191⟩
  • Maximilien Servajean. Recommandation diversifiée et distribuée pour les données scientifiques. Réseaux sociaux et d'information [cs.SI]. Université Montpellier II - Sciences et Techniques du Languedoc, 2014. Français. ⟨NNT : 2014MON20216⟩. ⟨tel-02179049⟩

Software3 documents