ADVANSE: ADVanced Analytics for data SciencE

Les activités de recherche menées par l’équipe projet ADVANSE s’inscrivent dans le domaine des grandes bases de données, i.e. Big Data, et plus particulièrement dans le domaine de l’Extraction de Connaissances et de la Fouille de Données. Elles concernent les principaux axes suivants :

  • Fouille de données dans des bases de données complexes : données structurées, semi structurées, multidimensionnelles, qualitatives, quantitatives, textuelles, spatio-temporelles, approximatives, bruitées ou disponibles sous la forme d’entrepôts (données multidimensionnelles, agrégées, hiérarchisées) dans un contexte d’aide à la décision ;
  • Fouille de données dans des bases de données dynamiques, i.e. dont les données sont exprimées sous la forme d’un flot de données continu, à grande vitesse et qu’il n’est pas possible de stocker ;
  • Visualisation pour aider le décideur à comprendre ses données ou à mieux appréhender les connaissances extraites ;

Fort d’une expertise reconnue depuis de nombreuses années dans le domaine de la fouille de données, ADVANSE se focalise particulièrement sur les données liées à la santé et à l’environnement.

Membres

Permanents

Non permanents

Collaborateurs réguliers

  • Jessica Pinaire
  • Dino Ienco, Chargé de Recherche

Thématiques de recherche

Les activités de l'équipe sont organisées autour des thématiques suivantes :

Faits marquants

  • Responsable scientifique de l’équipex Géosud sur le WP3.1 fouilles de données à partir d’images satellitaires
  • Des articles acceptés dans des revues ou conférences majeures : ACM Transactions on Knowledge Discovery from Data (TKDD), Transactions on Fuzzy Systems, International Journal of BioMedical Informatics, Expert Systems with Applications, Data Mining and Knowledge Discovery, Pattern Recognition, Fuzzy Systems, Journal of Intelligent Information Systems, Intelligent Data Analysis, ICDM, VLDB, PKDD, PAKDD, IDA, ACM SigSpatial, Graph Drawing
  • Participation à la création d’entreprises : Expernova, Satin-IP, Namae Concepts. Chacune de ces sociétés ayant été lauréate du concours national d’aide à la création de technologies innovantes (OSEO).

Collaborations externes

Au cours de ces années, Tatoo a établi de nombreuses collaborations qui ont donné lieu à publications ou projets en commun. Ainsi au niveau national, nous avons des collaborations principalement avec les laboratoires suivants : LIRIS (Lyon), GRAEC (Caen), LORIA (Nancy), INRIA (Paris/Sophia Antipolis), IRISA (Rennes), Saint Etienne, CEREGMIA (Martinique), LIP6 (Paris), LSTT (Strasbourg), ETIS (Cergy), LI (Blois), ENST (Paris), IRIT (Toulouse), Univ. Nouvelle Calédonie (Nouméa).

Les collaborations internationales ont permis à Tatoo de pouvoir ouvrir de nouvelles perspectives. Ainsi, à l’heure actuelle Tatoo collabore avec : Univ. Aalborg (Denmark), Univ. Alberta (Canada), Univ. Barcelona (Spain), University of Bari (Italia), Univ. Eindhoven (The Netherlands), Univ. Ottawa (Canada), Univ. Bristol (UK), Univ. Marburg (Germany), Help Univ. (Malaisia), ITB Bandung (Indonesia), Univ. Torino (Italy), Univ. Tunis (Tunisie), Univ. Alberta (Canada), Univ. Singapore (Singapore), Univ. Waikato (Nouvelle-Zélande) et Yahoo Research (Barcelona), Univ. California at Davis (USA).

Projets de recherche

  • Projet CNES (2012-2013). Caractérisation des systèmes de cultures et de leur productivité par télédétection multi sources et fouille de données, pour la sécurité alimentaire. Partenaires : CNES, UMR Tetis, CIRAD, UR-SCA.
  • Projet CNRS-Défi Masse de Données Scientiques Mastodons - AMADEUS (2012). L'objectif est de fournir à la communauté des scientifiques en Sciences de la Terre et de l’Univers, de nouvelles techniques efficaces de découverte et d’analyse des données issues des campagnes d’observation avec des instruments sol ou satellites. Montant du projet : 70 K€ - Part du LIRMM : 18 K€. Partenaires : Labri, LIF, ESPACE-DEV, CEREGE, LAM.
  • Projet de recherche VIPP (2011-2012). Ce projet qui rentre dans le cadre du Labex Numev a pour objectif de rechercher de nouvelles approches de détection de cellules rares apparaissant dans différentes pathologies (cancer, AVC, …) dans un échantillon sanguin. Montant du projet : 1 post-doc pour un an. Partenaires : Zenith, I3M, CHU UM1
  • Projet de transfert de technologie Itesoft (2012-2015). L’objectif du projet est de proposer des solutions de détections d’entité nommées et de sentiments dans des documents issus d’OCR. Montant du projet : 150 K€. Partenaires : ITESOFT, Equipe Text.
  • ANR Fresqueau (2011-2013). L’objectif du projet est de proposer des méthodes d’analyse des cours d’eau et d’étudier l’impact environnemental associé. Montant du projet 814 K€ – part du LIRMM: 65 K€. Partenaires : LHYGES, LSIIT, TETIS, AQUASCOP, AQUABIO
  • Projet ANR Datalift (2010-2013). Un ascenseur pour le Web de données. Projet ANR CONTINT plateforme pour la publication de données sur le Web. http://datalift.org. Montant du projet : 3 M€, subvention LIRMM : 150 K€. Partenaires : INRIA, Eurécom, Mondeca, Atos, IGN, INSEE, FING.
  • EQUIPEX Géosud « Infrastructure d’Information Spatiale sur les Territoires et l’Environnement » autour des approches de fouilles de données appliquées aux images de télédétection 2011-2016. L’EQUIPEX Géosud fait partie des 2 projets retenus dans la région Languedoc Roussillon lors du premier appel Initiative d’Excellence. Montant du projet total : 11,5 M€ - Part du LIRMM : 90 K€.
  • Planet Data (2010-2014), EU FP7 Network of Excellence. Projet Web sémantique. Montant du projet : 8 M€. http://planet-data.eu
  • Projet de transfert de technologie Octipas 2011. L’objectif du projet est de proposer des solutions d’analyse des achats d’internautes. Montant du projet : 8 K€.
  • FUI RIDER (Réseau et Inter Connectivité des Energies Classiques et renouvelables) 2009-2012. L’objectif du projet est la compréhension et l’influence des comportements humains ayant un impact sur l’efficacité énergétique des groupes de bâtiments. Partenaires : Université Montpellier 2 et Perpignan – Laboratoires du LIRMM, IES et ELIAUS, IBM, Cofely, coronis.Montant total du projet : 5 M€. « Obtention du 1er prix de la croissance verte numérique dans la catégorie recherche – 29/11/2010 ».
  • Projet Expernova 2 (2011-2012). L’objectif de ce projet est de poursuivre les travaux menés précédemment autour la cartographie de laboratoires et l’extension de requêtes. Montant du projet : 35 K€.
  • Projet de transfert de technologie Satin-Ip (2008-2011). L’objectif du projet est de proposer des approches de recherche d’information dans des fichiers logs hétérogènes. Ce transfert est en complément d’une bourse Cifre. Montant du projet : 30 K€.
  • Projet de transfert de technologie Tecnalia (Spain) 2008-2011. L’objectif du projet est de proposer des approches d’aide à la maintenance. Ce transfert est en complément d’une bourse Cifre. Montant du projet : 30 K€.
  • ANR AAP PRADNET (PRIMATE ALZHEIMER'S DISEASE NETWORK) – Plan Alzheimer 2008-2012. L’objectif de ce projet est de proposer une aide à la détermination des gènes impliqués dans la maladie d’Alzheimer en utilisant des techniques de fouilles de données. Montant du projet : 500 K€.
  • Projet de transfert de technologie avec la société Nevantropic (2009). L’objectif de ce projet est de réaliser un démonstrateur de suivi du virus de la grippe A(H1N1) à l’aide de dépêche de presse. Montant du projet : 10 K€.
  • Projet de transfert de technologie avec la société Expernova (2009). L’objectif de ce projet est de réaliser la cartographie de laboratoires et l’extension de requêtes. Montant du projet : 35 K€.
  • Projet de transfert de technologie avec la société Ibiskus (2009). L’objectif de ce projet est de réaliser une approche d’extraction de connaissances basées sur les règles graduelles dans un contexte d’entrepôt de données. Montant du projet : 18 K€.
  • ANR Masse de Données MIDAS (2008-2011). L’objectif est de proposer de nouveaux résumés pour les flots de données et de mettre en place une approche générique pour différents domaines d’applications. Partenaires : LIRMM, LGI2P, INRIA, ENST, Université Antilles Guyanes, EDF R&D, FT R&D. Montant du projet : 723  K€.
  • Projet de transfert de technologie avec la société WebReport (2010) : Détection automatique de catastrophes via les tweets. Montant du projet : 21  K€.

Prototypes

Liste des séminaires invités (archives)

Les anciens

  • Hugo Alatrista-Salas. Actuellement, Post-Doc à l'Université Pontificia Universidad Católica, Peru
  • Phan Nhat Hai. Actuellement, Post-Doc à l'Université d'état de l'Oregon, USA
  • Benjamin Duthil. Actuellement, Post Doc à l'Université de La Rochelle.
  • Sarrah Ayouni. Actuellement, Maître de conférences à l'Université de Tunis, Tunisie.
  • Hassan Saneifar. Actuellement, Ingénieur Recherche et Développement dans la société Satin Technologies.
  • Julien Rabatel. Actuellement, Post Doc au LIRMM.
  • Yoann Pitarch. Actuellement, Maître de conférences à l'Université de Toulouse.
  • Lisa Di Jorio. Actuellement, Consultant en informatique
  • Paola Salle. Actuellement, Responsable du département recherche dans la société Expertise Radiologie, Montpellier
  • Haoyuan Li. Actuellement, Maître de conférences à l'Université François Rabelais Tours, France.
  • Chedy Raissi. Actuellement, Chercheur à l'Institut National de Recherche en Informatique et en Automatique (INRIA), LORIA, Nancy, France.
  • Marc Plantevit. Actuellement, Maître de conférences à l'Université de Lyon 1.

Ressources

Publications depuis 2014 - Evaluation 2019

Articles de revues internationales

2019

  1. DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn
    Roberto Interdonato, Dino Ienco, Raffaele Gaetano, Kenji Ose
    ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, 2019, 149, pp.91-104.
  2. Detection of spatio-temporal evolutions on multi-annual satellite image time series: A clustering based approach
    Lynda Khiali, Mamoudou Ndiath, Samuel Alleaume, Dino Ienco, Kenji Ose, Maguelonne Teisseire
    International Journal of Applied Earth Observation and Geoinformation, Elsevier, 2019, 74, pp.103-119. ⟨10.1016/j.jag.2018.07.014⟩. ⟨hal-01931475⟩.

2018

  1. Geolocation with respect to personal privacy for the Allergy Diary app - a MASK study
    D. Samreth, S. Arnavielhe, F. Ingenrieth, A. Bedbrook, G. Onorato, R. Murray, R. Almeida, A. Mizani, J. Fonseca, E. Costa, J. Malva, M. Almeida, A. Pereira, A. Todo-Bom, E. Menditto, C. Stellato, M. Ventura, D. Larenas-Linnemann, M. Fuentes-Pérez, R. Huerta-Villalobos, A. Cruz, R. Stelmach, J. Da Silva, R. Emuzyte, V. Kvedariene, A. Valiulis, I. Annesi-Maesano, I. Bosse, P. Demoly, P. Devillier, F. Fontaine, P. Kuna, B. Samolinski, L. Klimek, R. Mösges, O. Pfaar, S. Shamai, M. Bewick, D. Ryan, A. Sheikh, M. Anto, V. Cardona, J. Mullol, A. Valero, N. Chavannes, J. Fokkens, S. Reitsma, R. Roller-Wirnsberger, V. Tomazic, T. Haahtela, S. Toppila-Salmi, E. Valovirta, M. Makris, G. Papadopoulos, E. Prokopakis, F. Psarros, B. Gemicioğlu, A. Yorgancioglu, C. Bindslev-Jensen, E. Eller, I. Kull, M. Wickman, C. Bachert, P. Hellings, B. Pugin, S. Bosnic-Anticevich, R. O’hehir, V. Kolek, M. Sova, K. Wehner, G. De Vries, M. Van Eerd, D. Laune, J. Wittmann, J. Bousquet, Pascal Poncelet
    World Allergy Organization Journal, BMC, 2018, 11 (1). <10.1186/s40413-018-0194-3>
  2. SIFR Annotator: Ontology-Based Semantic Annotation of French Biomedical Text and Clinical Notes
    Andon Tchechmedjiev, Amine Abdaoui, Vincent Emonet, Stella Zevio, Clement Jonquet
    BMC Bioinformatics, BioMed Central, 2018, 19 (1), pp.405-431.
  3. <formula> <tex>$M^3\text{Fusion}$</tex> </formula>: A Deep Learning Architecture for Multiscale Multimodal Multitemporal Satellite Data Fusion
    Paola Benedetti, Dino Ienco, Raffaele Gaetano, Kenji Ose, Ruggero Pensa, Stéphane Dupuy
    le Multimodal Multitemporal Satellite Data Fusion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2018, 11 (12), pp.4939-4949. &#x27E8;10.1109/JSTARS.2018.2876357&#x27E9;. &#x27E8;hal-01931466&#x27E9;.
  4. Mining Frequent Subgraphs in Multigraphs
    Vijay Ingalalli, Dino Ienco, Pascal Poncelet
    Information Sciences, Elsevier, 2018, 451-452, pp.50-66.
  5. Enhanced Functionalities for Annotating and Indexing Clinical Text with the NCBO Annotator+
    Andon Tchechmedjiev, Amine Abdaoui, Vincent Emonet, Soumia Melzi, Jitendra Jonnagaddala, Clement Jonquet
    Bioinformatics, Oxford University Press (OUP), 2018, 34 (11), pp.1962-1965.
  6. Non-parametric Bayesian annotator combination
    Maximilien Servajean, Romain Chailan, Alexis Joly
    Information Sciences, Elsevier, 2018, 436-437, pp.131-145.
  7. Deep Recurrent Neural Networks for Winter Vegetation Quality Mapping via Multitemporal SAR Sentinel-1
    Dinh Ho Tong Minh, Dino Ienco, Raffaele Gaetano, Nathalie Lalande, Emile Ndikumana, Faycal Osman, Pierre Maurel
    IEEE Geoscience and Remote Sensing Letters, IEEE - Institute of Electrical and Electronics Engineers, 2018, 15 (3), pp.464-468.
  8. Detection of Suicide-Related Posts in Twitter Data Streams
    Mia Johnson Vioulès, Bilel Moulahi, Jérôme Azé, Sandra Bringay
    Ibm Journal of Research and Development, Ibm Corporation, 2018, 62 (1), pp.7:1-7:12.
  9. MultiStream: A Multiresolution Streamgraph Approach to Explore Hierarchical Time Series
    Erick Cuenca, Arnaud Sallaberry, Florence Ying Wang, Pascal Poncelet
    IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2018, 24 (12), pp.3160-3173.
  10. Reconciliation of patient/doctor vocabulary in a structured resource
    Mike Donald Tapi Nzali, Jérôme Azé, Sandra Bringay, Christian Lavergne, Caroline Mollevi, Thomas Optiz
    Health Informatics Journal, SAGE Publications, 2018. <10.1177/1460458217751014>
  11. The role of location and social strength for friendship prediction in location-based social networks
    Jorge Valverde-Rebaza, Mathieu Roche, Pascal Poncelet, Alneu De Andrade Lopes
    Information Processing and Management, Elsevier, 2018, 54 (4), pp.475-489.
  12. A Two-Branch CNN Architecture for Land Cover Classification of PAN and MS Imagery
    Raffaele Gaetano, Dino Ienco, Kenji Ose, Rémi Cresson
    Remote Sensing, MDPI, 2018, 10 (11), pp.1746. &#x27E8;10.3390/rs10111746&#x27E9;. &#x27E8;hal-01931435&#x27E9;.

2017

  1. Concept drift vs suicide: How one can help prevent the other?
    Cédric Maigrot, Sandra Bringay, Jérôme Azé
    International Journal of Computational Linguistics and Applications, Alexander Gelbukh, In press, 8 (1). <https://www.gelbukh.com/ijcla/2017-1/>
  2. Land Cover Classification via Multitemporal Spatial Data by Deep Recurrent Neural Networks
    Dino Ienco, Raffaele Gaetano, Claire Dupaquier, Pierre Maurel
    IEEE Geoscience and Remote Sensing Letters, IEEE - Institute of Electrical and Electronics Engineers, 2017, 14 (10), pp.1685-1689.
  3. Local Community Detection in Multilayer Networks
    Roberto Interdonato, Andrea Tagarelli, Dino Ienco, Arnaud Sallaberry, Pascal Poncelet
    Data Mining and Knowledge Discovery, Springer, 2017, 31 (5), pp.1444-1479.
  4. FEEL: a French Expanded Emotion Lexicon
    Amine Abdaoui, Jérôme Azé, Sandra Bringay, Pascal Poncelet
    Language Resources and Evaluation, Springer Verlag, 2017, 51 (3), pp.833-855.
  5. A graph-based approach to detect spatiotemporal dynamics in satellite image time series
    Fabio Güttler, Dino Ienco, Jordi Nin, Maguelonne Teisseire, Pascal Poncelet
    ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, 2017, 130, pp.92-107.
  6. A Semi-Supervised Approach to the Detection and Characterization of Outliers in Categorical Data
    Dino Ienco, Ruggero Pensa, Rosa Meo
    IEEE Transactions on Neural Networks and Learning Systems, IEEE, 2017, 28 (5), pp.1017-1029.
  7. Patient healthcare trajectory. An essential monitoring tool: a systematic review.
    Jessica Pinaire, Jérôme Azé, Paul Landais, Sandra Bringay
    Health Information Science and Systems, BioMed Central, 2017, &#x27E8;10.1007/s13755-017-0020-2&#x27E9;. &#x27E8;hal-01566986&#x27E9;. <10.1007/s13755-017-0020-2>
  8. What Patients Can Tell Us: Topic Analysis for Social Media on Breast Cancer
    Mike Donald Tapi Nzali, Sandra Bringay, Christian Lavergne, Caroline Mollevi, Thomas Opitz
    JMIR Medical Informatics, JMIR Publications, 2017, 5 (3). <10.2196/medinform.7779>
  9. Non a Priori Automatic Discovery of 3D Chemical Patterns: Application to Mutagenicity
    Julien Rabatel, Fannes Thomas, Alban Lepailleur, Jérémie Le Goff, Bruno Crémilleux, Jan Ramon, Ronan Bureau, Bertrand Cuissart
    Molecular Informatics, Wiley-VCH, 2017. <10.1002/minf.201700022>
  10. Raising Awareness About Cervical Cancer Using Twitter: Content Analysis of the 2015 #SmearForSmear Campaign
    Philippe Lenoir, Bilel Moulahi, Jérôme Azé, Sandra Bringay, François Carbonnel
    Journal of Medical Internet Research, Journal of Medical Internet Research, 2017, 19 (10). <10.2196/jmir.8421>
  11. Xart: Discovery of correlated arguments of n-ary relations in text.
    Soumia Lilia Berrahou, Patrice Buche, Juliette Dibie, Mathieu Roche
    Expert Systems with Applications, Elsevier, 2017, 73, pp.115-124. &#x27E8;10.1016/j.eswa.2016.12.028&#x27E9;. &#x27E8;hal-01508801&#x27E9;.
  12. IndexMEED cases studies using "Omics" data with graph theory
    Romain David, Jean-Pierre Féral, Sophie Archambeau, Fanny Arnaud, David Auber, Nicolas Bailly, Loup Bernard, Laure Berti-Équille, Cyrille Blanpain, Vincent Breton, Anne Chenuil-Maurel, Anna Cohen Nabeiro, Alrick Dias, Aurélie Delavaud, Robin Goffaud, Sophie Gachet, Karina Gibert, Manuel Herrera Fernandez, Luc Hogie, Dino Ienco, Romain Julliard, Yvan Le Bras, Julien Lecubin, Yannick Legre, Michelle Leydet, Grégoire Lois, Bénédicte Madon, François Marchal, Víctor Méndez Muñoz, Jean-Charles Meunier, Jean-Baptiste Mihoub, Isabelle Mougenot, Sophie Pamerlon, Eric Peletier, Geneviève Romier, Dad Roux-Michollet, Alison Specht, Christian Surace, Jean-Claude Raynal, Thierry Tatoni
    Biodiversity Information Science and Standards, Sofia : Pensoft Publishers, 2017-, 2017, TDWG 2017 - Proceedings, 1 (2), pp.340-361.

2016

  1. Fuzzy extensions of the DBScan clustering algorithm
    Dino Ienco, Gloria Bordogna
    Soft Computing, Springer Verlag, 2016, Methodologies and Application, &#x27E8;10.1007/s00500-016-2435-0&#x27E9;. &#x27E8;lirmm-01399605&#x27E9;. <10.1007/s00500-016-2435-0>
  2. Leveraging efficient indexing schema to support multigraph query answering
    Dino Ienco, Vijay Ingalalli, Pascal Poncelet
    Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, Lavoisier, 2016, 21 (3), pp.53-74.
  3. All in One: Mining Multiple Movement Patterns
    Nhathai Phan, Pascal Poncelet, Maguelonne Teisseire
    International Journal of Information Technology and Decision Making, World Scientific Publishing, 2016, 15 (5), pp.1115-1156.
  4. Identification of terms for detecting early signals of emerging infectious disease outbreaks on the web
    Elena Arsevska, Mathieu Roche, Pascal Hendrikx, David Chavernac, Sylvain Falala, Renaud Lancelot, Barbara Dufour
    Computers and Electronics in Agriculture, Elsevier, 2016, 123, pp.104-115.
  5. Positive and unlabeled learning in categorical data
    Dino Ienco, Ruggero G. Pensa
    Neurocomputing, Elsevier, 2016, 196, pp.113 - 124. &#x27E8;10.1016/j.neucom.2016.01.089&#x27E9;. &#x27E8;hal-01374450&#x27E9;.
  6. Spatio-sequential patterns mining: Beyond the boundaries
    Hugo Alatrista-Salas, Sandra Bringay, Frédéric Flouvat, Nazha Selmaoui-Folcher, Maguelonne Teisseire
    Intelligent Data Analysis, IOS Press, 2016, 20 (2), pp.293-316.
  7. Combining transductive and active learning to improve object-based classification of remote sensing images
    Fábio Nór Güttler, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire
    Remote Sensing Letters, Taylor and Francis, 2016, 7 (4), pp.358-367.
  8. Contact Trees: Network Visualization beyond Nodes and Edges
    Arnaud Sallaberry, Yang-Chih Fu, Hwai-Chung Ho, Kwan-Liu Ma
    PLoS ONE, Public Library of Science, 2016, 11 (1), pp.e0146368.
  9. User-driven geo-temporal density-based exploration of periodic and not periodic events reported in social networks
    Paolo Arcaini, Gloria Bordogna, Dino Ienco, Simone Sterlacchini
    Information Sciences, Elsevier, 2016, 340, pp.122-143.
  10. Biomedical term extraction: overview and a new methodology
    Juan Antonio Lossio-Ventura, Clement Jonquet, Mathieu Roche, Maguelonne Teisseire
    Information Retrieval Journal, Springer, 2016, Medical Information Retrieval, 19 (1), pp.59-99.
  11. Formalisation semi-automatique d'un vocabulaire patient/médecin dédié au cancer du sein
    Mike Donald Tapi Nzali, Jérôme Azé, Sandra Bringay, Christian Lavergne, Caroline Mollevi, Thomas Opitz
    Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2016, 30 (5), pp.533-556.

2015

  1. A quality-aware spatial data warehouse for querying hydroecological data
    Soumia Lilia Berrahou, Nathalie Lalande, Eva Serrano, Guilhem Molla, Laure Berti-Équille, Sandro Bimonte, Sandra Bringay, Flavie Cernesson, Corinne Grac, Dino Ienco, Florence Le Ber, Maguelonne Teisseire
    Computers and Geosciences, Elsevier, 2015, 85, pp.126 - 135.
  2. Genomics and Machine Learning for Taxonomy Consensus: The Mycobacterium tuberculosis Complex Paradigm
    Jérôme Azé, Christophe Sola, Jian Zhang, Florian Lafosse-Marin, Memona Yasmin, Rubina Siddiqui, Kristin Kremer, Dick Van Soolingen, Guislaine Refrégier
    PLoS ONE, Public Library of Science, 2015, 10 (7), pp.210-218.
  3. Social ties, homophily and extraversion--introversion to generate complex networks
    Faraz Zaidi, Muhammad Qasim Pasta, Arnaud Sallaberry, Guy Melançon
    Social Network Analysis and Mining, Springer, 2015, &#x27E8;10.1007/s13278-015-0270-4&#x27E9;. &#x27E8;lirmm-01275356&#x27E9;. <10.1007/s13278-015-0270-4>
  4. Unraveling the molecular architecture of a G protein-coupled receptor/β-arrestin/Erk module complex
    Thomas Bourquard, Flavie Landomiel, Eric Reiter, Pascale Crépieux, David W. Ritchie, Jérôme Azé, Anne Poupon
    Scientific Reports, Nature Publishing Group, 2015, pp.5:10760.
  5. Surveillance and detection of unusual events in toxicovigilance: Review of relevant methods
    Laurie Faisandier, Anne Fouillet, D. Bicout, Sandra Bringay, Franck Golliot, Ismaïl Ahmed, Daniel Eilstein
    Epidemiology and Public Health / Revue d'Epidémiologie et de Santé Publique, Elsevier Masson, 2015, 63 (2), pp.119-131. &#x27E8;10.1016/j.respe.2015.01.072&#x27E9;. &#x27E8;lirmm-01379054&#x27E9;.
  6. A knowledge discovery process for spatiotemporal data: Application to river water quality monitoring
    Hugo Alatrista Salas, Jérôme Azé, Sandra Bringay, Flavie Cernesson, Nazha Selmaoui-Folcher, Maguelonne Teisseire
    Ecological Informatics, Elsevier, 2015, 26, pp.127-139.
  7. From Terminology Extraction to Terminology Validation: An Approach Adapted to Log Files
    Hassan Saneifar, Stéphane Bonniol, Pascal Poncelet, Mathieu Roche
    Journal of Universal Computer Science, Graz University of Technology, Institut für Informationssysteme und Computer Medien, 2015, 21 (4), pp.604-636.
  8. Software understanding: Automatic classification of software identifiers
    Pattaraporn Warintarawej, Anne Laurent, Marianne Huchard, Mathieu Lafourcade, Pierre Pompidor
    Intelligent Data Analysis, IOS Press, 2015, 19 (4), pp.761-778.
  9. Recognition of logical units in log files
    Hassan Saneifar, Stéphane Bonniol, Pascal Poncelet, Mathieu Roche
    Intelligent Data Analysis, IOS Press, 2015, 19 (2), pp.431-448.
  10. Classification des items inconnus de 88milSMS : aide à l’identification automatique de la créativité scripturale
    Cédric Lopez, Mathieu Roche, Rachel Panckhurst
    TRANEL. Travaux Neuchâtelois de Linguistique, Institut des sciences du langage et de la communication (Neuchâtel, Suisse), 2015, Perspectives linguistiques sur les écrits électroniques : des textos aux converstions WhatsApp, 63, pp.71-86.
  11. Spatio-temporal data classification through multidimensional sequential patterns: Application to crop mapping in complex landscape
    Yoann Pitarch, Dino Ienco, Elodie Vintrou, Agnès Bégué, Anne Laurent, Pascal Poncelet, Michel Sala, Maguelonne Teisseire
    Engineering Applications of Artificial Intelligence, Elsevier, 2015, 37, pp.91-102.
  12. A Graph-Based Method for Detecting Rare Events: Identifying Pathologic Cells
    Enikö Székely, Arnaud Sallaberry, Faraz Zaidi, Pascal Poncelet
    IEEE Computer Graphics and Applications, Institute of Electrical and Electronics Engineers, 2015, 35 (3), pp.65-73.
  13. Mining closed partially ordered patterns, a new optimized algorithm
    Mickaël Fabrègue, Agnès Braud, Sandra Bringay, Florence Le Ber, Maguelonne Teisseire
    Knowledge-Based Systems, Elsevier, 2015, 79, pp.68 - 79. &#x27E8;10.1016/j.knosys.2014.12.027&#x27E9;. &#x27E8;hal-01144020&#x27E9;.
  14. SENTERRITOIRE for opinion mining related to land-use planning
    Eric Kergosien, Pierre Maurel, Mathieu Roche, Maguelonne Teisseire
    Revue Internationale de Géomatique, Lavoisier, 2015, 25 (1), pp.11-34. &#x27E8;http://rig.revuesonline.com/&#x27E9;. &#x27E8;10.3166/rig.25.11-34&#x27E9;. &#x27E8;lirmm-01109090&#x27E9;.

2014

  1. Discriminant temporal patterns for linking physico-chemistry and biology in hydro-ecosystem assessment
    Mickaël Fabrègue, Agnès Braud, Sandra Bringay, Corinne Grac, Florence Le Ber, Danielle Levet, Maguelonne Teisseire
    Ecological Informatics, Elsevier, 2014, 24, pp.210-221.
  2. Mining local climate data to assess spatiotemporal dengue fever epidemic patterns in French Guiana
    Sandra Bringay, Claude Flamand, Mickaël Fabrègue, Vanessa Ardillon, Quenel Philippe, Jean-Claude Desenclos, Maguelonne Teisseire
    Journal of the American Medical Informatics Association, BMJ Publishing Group, 2014, 21 (e2), pp.232-240. &#x27E8;10.1136/amiajnl-2013-002348&#x27E9;. &#x27E8;lirmm-01379072&#x27E9;.
  3. A contribution to the discovery of multidimensional patterns in healthcare trajectories
    Elias Egho, Nicolas Jay, Chedy Raïssi, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire, Amedeo Napoli
    Journal of Intelligent Information Systems, Springer Verlag, 2014, 42, pp.283 - 305.
  4. Hierarchical Co-Clustering: Off-line and Incremental Approaches
    Ruggero Pensa, Dino Ienco, Rosa Meo
    Data Mining and Knowledge Discovery, Springer, 2014, 28 (1), pp.31-64.
  5. Le projet Fresqueau. Exploiter les données massives concernant les cours d'eau
    Florence Le Ber, Maguelonne Teisseire, Agnès Braud, Flavie Cernesson, Corinne Grac, Pascal Poncelet
    Ingéniérie des Systèmes d'Information, Lavoisier, 2014, 19 (3), pp.169-174.
  6. Towards a mixed approach to extract biomedical terms from text corpus
    Juan Antonio Lossio-Ventura, Clement Jonquet, Mathieu Roche, Maguelonne Teisseire
    International journal of Knowledge Discovery in Bioinformatics, IGI Global, 2014, 4 (1), pp.1-15. &#x27E8;http://www.igi-global.com/journal/international-journal-knowledge-discovery-bioinformatics/1143&#x27E9;. &#x27E8;10.4018/ijkdb.2014010101&#x27E9;. &#x27E8;lirmm-00859846v2&#x27E9;.
  7. Are opinions expressed in land-use planning documents?
    Eric Kergosien, Bernard Laval, Mathieu Roche, Maguelonne Teisseire
    International Journal of Geographical Information Science, Taylor & Francis, 2014, 28 (4), pp.739-762.
  8. How can catchy titles be generated without loss of informativeness?
    Cédric Lopez, Violaine Prince, Mathieu Roche
    Expert Systems with Applications, Elsevier, 2014, 41 (4), pp.1051-1062. &#x27E8;10.1016/j.eswa.2013.07.102&#x27E9;. &#x27E8;lirmm-00856372&#x27E9;.
  9. Enhancing passage retrieval in log files by query expansion based on explicit and pseudo relevance feedback
    Hassan Saneifar, Stéphane Bonniol, Pascal Poncelet, Mathieu Roche
    Computers in Industry, Elsevier, 2014, 65 (6), pp.937-951.
  10. How to Combine Text-Mining Methods to Validate Induced Verb-Object Relations?
    Nicolas Béchet, Jacques Chauché, Violaine Prince, Mathieu Roche
    Computer Science and Information Systems, ComSIS Consortium, 2014, 11 (1), pp.133-155.

Communications internationales

2019

  1. Experimental web service and eye-tracking setup for unilateral spatial neglect assessment
    Tim Rossa, Pierre Pompidor, Nancy Rodriguez, Arnaud Sallaberry, Pascal Poncelet, Marika Urbanski, Clémence Bourlon, Guillaume Talon, Antoine Seilles
    HCI International, Jul 2019, Orlando, FL, United States. 21st International Conference on Human-Computer Interaction, 2019. <http://2019.hci.international>
  2. Social Skills Training Tool in Virtual Reality, Intended for Managers and Sales Representatives
    Jean-Daniel Taupiac, Nancy Rodriguez, Olivier Strauss, Pierre Beney
    IEEE-VR: Conference on Virtual Reality and 3D User Interfaces, Mar 2019, Osaka, Japan. &#x27E8;hal-02091017&#x27E9;. <http://ieeevr.org/2019/>
  3. A CNN adapted to time series for the classification of Supernovae
    Anthony Brunel, Johanna Pasquet, Jérôme Pasquet, Nancy Rodriguez, Frédéric Comby, Dominique Fouchez, Marc Chaumont
    Electronic Imaging, Jan 2019, Burlingame, CA, United States. IS&T International Symposium on Electronic Imaging - Proceedings of Color Imaging XXIV: Displaying, Processing, Hardcopy, and Applications, 2019.

2018

  1. Identifying accessibility conditions for children with multiple disabilities: a Virtual Reality Wheelchair simulator
    Nancy Rodriguez
    ISMAR: International Symposium on Mixed and Augmented Reality, Oct 2018, Munich, Germany. 17th IEEE International Symposium on Mixed and Augmented Reality, 2018. <https://www.ismar2018.org>
  2. 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: Conference and Labs of the Evaluation, Sep 2018, Avignon, France. Conference and Labs of the Evaluation Forum, Ceur-ws.org (2125), pp.#78, 2018, Working Notes.
  3. EpidNews: An Epidemiological News Explorer for Monitoring Animal Diseases
    Rohan Goel, Samiha Fadloun, Sarah Valentin, Arnaud Sallaberry, Mathieu Roche, Pascal Poncelet
    VINCI: Visual Information Communication and Interaction, Aug 2018, Växjö, Sweden. 11th International Symposium on Visual Information Communication and Interaction, 2018. <10.1145/3231622.3231624>
  4. Immercity: a curation content application in Virtual and Augmented Reality
    Jean-Daniel Taupiac, Nancy Rodriguez, Olivier Strauss
    VAMR: Virtual, Augmented and Mixed Reality, Jul 2018, Las Vegas, NV, United States. Springer International Publishing, 10th International Conference of Virtual, Augmented and Mixed Reality: Applications in Health, Cultural Heritage, and Industry held as Part of HCI International 2018, LNCS (10910), pp.223-234, 2018, Applications in Health, Cultural Heritage, and Industry.
  5. Readitopics: Make Your Topic Models Readable via Labeling and Browsing
    Julien Velcin, Antoine Gourru, Erwan Giry-Fouquet, Christophe Gravier, Mathieu Roche, Pascal Poncelet
    IJCAI: International Joint Conference on Artificial Intelligence, Jul 2018, Stockholm, Sweden. 27th International Joint Conference on Artificial Intelligence, 2018. <https://www.ijcai-18.org>
  6. Visual Querying of Large Multilayer Graphs
    Erick Cuenca, Arnaud Sallaberry, Dino Ienco, Pascal Poncelet
    SSDBM: Scientific and Statistical Database Management, Jul 2018, Bozen-Bolzano, Italy. ACM Press, 30th International Conference on Scientific and Statistical Database Management, pp.32-34, 2018, SSDBM 2018.
  7. Semi-Supervised Clustering With Multiresolution Autoencoders
    Dino Ienco, Ruggero Pensa
    IJCNN: International Joint Conference on Neural Networks, Jul 2018, Rio de Janeiro, Brazil. IEEE, 30th International Joint Conference on Neural Networks (part of WCCI), 2018. <10.1109/IJCNN.2018.8489353>
  8. [Demo] Integration of text-and web-mining results in EpidVis
    Samiha Fadloun, Arnaud Sallaberry, Alizé Mercier, Elena Arsevska, Pascal Poncelet, Mathieu Roche
    NLDB: Natural Language Processing and Information Systems, Jun 2018, Paris, France. 23rd International Conference on Applications of Natural Language to Information Systems, LNCS (10859), pp.437-440, 2018.
  9. United we stand: Using multiple strategies for topic labeling
    Antoine Gourru, Julien Velcin, Mathieu Roche, Christophe Gravier, Pascal Poncelet
    NLDB: Natural Language Processing and Information Systems, Jun 2018, Paris, France. 23rd International Conference on Applications of Natural Language to Information Systems, LNCS (10859), pp.352-363, 2018.
  10. Outil de formation aux compétences sociales en Réalité Virtuelle
    Jean-Daniel Taupiac, Nancy Rodriguez, Olivier Strauss
    GamEvolution, Jun 2018, Montpellier, France. 2ème Colloque International Game Evolution - Management et Pédagogie Ludique, 2018. <http://mrm.edu.umontpellier.fr/evenements/colloque-international-game-evolution/2eme-colloque-international-game-evolution-7-juin-2018>
  11. PaFloChar: An Innovating Approach to Characterise Patient Flows in Myocardial Infarction
    Jessica Pinaire, Jérôme Azé, Sandra Bringay, Pascal Poncelet, Christophe Genolini, Paul Landais
    MIE: Medical Informatics Europe, Apr 2018, Goteborg, Sweden. IOS Press, 29th Medical Informatics Europe conference, 247, pp.391-395, 2018, Studies in Health Technology and Informatics.

2017

  1. Cart'Eaux: an automatic mapping procedure for wastewater networks using machine learning and data mining
    Carole Delenne, Nanée Chahinian, Jean-Stéphane Bailly, Sandra Bringay, Benjamin Commandre, Marc Chaumont, Mustapha Derras, Laurent Deruelle, Mathieu Roche, Fabrice Rodriguez, Gérard Subsol, Maguelonne Teisseire
    AGU Fall Meeting, Dec 2017, New-Orleans, United States. 2017. <https://fallmeeting.agu.org/2017/>
  2. DARE to Care: A Context-Aware Framework to Track Suicidal Ideation on Social Media
    Bilel Moulahi, Jérôme Azé, Sandra Bringay
    WISE: Web Information Systems Engineering, Oct 2017, Moscow, Russia. 18th International Conference on Web Information Systems Engineering, LNCS (10570), pp.346-353, 2017.
  3. Enrichment of French Biomedical Ontologies with UMLS Concepts and Semantic Types for Biomedical Named Entity Recognition Though Ontological Semantic Annotation
    Andon Tchechmedjiev, Clement Jonquet
    LOTKS: Language, Ontology, Terminology and Knowledge Structures, Sep 2017, Montpellier, France. Workshop on Language, Ontology, Terminology and Knowledge Structures, 2017. <https://langandonto.github.io/LangOnto-TermiKS-2017/index.html>
  4. ICD-10 coding of death certificates with the NCBO and SIFR Annotators at CLEF eHealth 2017
    Andon Tchechmedjiev, Amine Abdaoui, Vincent Emonet, Clement Jonquet
    Working Notes of CLEF eHealth Evaluation Lab, Sep 2017, Dublin, Ireland. CEUR, CEUR Workshop Proceedings, 1866. <https://sites.google.com/site/clefehealth2017/>
  5. Node Overlap Removal for 1D Graph Layout
    Samiha Fadloun, Pascal Poncelet, Julien Rabatel, Mathieu Roche, Arnaud Sallaberry
    IV: Information Visualisation, Jul 2017, London, United Kingdom. 21st International Conference Information Visualisation, 2017. <http://www.graphicslink.co.uk/IV2017/>
  6. An Application of AOC-Posets: Indexing Large Corpuses for Text Generation Under Constraints
    Alain Gutierrez, Michel Chein, Marianne Huchard, Pierre Pompidor
    Annalisa Appice; Marzena Kryszkiewicz; Dominik Ślęzak. ISMIS: International Symposium on Methodologies for Intelligent Systems, Jun 2017, Warsaw, Poland. Springer, 23rd International Symposium Foundations of Intelligent Systems, LNCS (10352), pp.642-652, 2017.
  7. Node-Centric Community Detection in Multilayer Networks with Layer-Coverage Diversification Bias
    Roberto Interdonato, Andrea Tagarelli, Dino Ienco, Arnaud Sallaberry, Pascal Poncelet
    CompleNet, Mar 2017, Dubrovnik, Croatia. 8th International Workshop on Complex Networks, pp.57-66, 2017, Complex Networks VIII.

2016

  1. Exploiting Social and Mobility Patterns for Friendship Prediction in Location-Based Social Networks
    Jorge Valverde-Rebaza, Mathieu Roche, Pascal Poncelet, Alneu De, Andrade Lopes
    ICPR: International Conference on Pattern Recognition, Dec 2016, Cancun, Mexico. 23rd International Conference on Pattern Recognition, 2016. <http://www.icpr2016.org/>
  2. Extracting new Spatial Entities and Relations from Short Messages
    Sarah Zenasni, Maguelonne Teisseire, Mathieu Roche, Eric Kergosien
    MEDES: Management of Digital EcoSystems, Nov 2016, Hendaye, France. 8th International ACM Conference on Management of Digital EcoSystems, 2016. <http://medes.sigappfr.org/16/>
  3. Shallow Text Clustering Does Not Mean Weak Topics: How Topic Identification Can Leverage Bigram Features
    Julien Velcin, Mathieu Roche, Pascal Poncelet
    DMNLP: Data Mining and Natural Language Processing, Sep 2016, Riva del Garda, Italy. 3rd Workshop on Interactions between Data Mining and Natural Language Processing 2016 co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2016), 1646, 2016. <http://ceur-ws.org/Vol-1646/>
  4. SuMGra: Querying Multigraphs via Efficient Indexing
    Vijay Ingalalli, Dino Ienco, Pascal Poncelet
    DEXA: Database and Expert Systems Applications, Sep 2016, Porto, Portugal. 27th International Conference on Database and Expert Systems Applications - Proceedings, Part I, LNCS (9827), pp.387-401, 2016, Database and Expert Systems Applications.
  5. Dictionary-Based Sentiment Analysis Applied to a Specific Domain
    Laura Cruz, José Ochoa, Mathieu Roche, Pascal Poncelet
    SIMBIg: Symposium on Information Management and Big Data, Sep 2016, Cusco, Peru. Second Annual International Symposium, SIMBig 2015, Cusco, Peru, September 2-4, 2015, and Third Annual International Symposium, SIMBig 2016, Cusco, Peru, September 1-3, 2016, Revised Selected Papers, pp.57-68, 2017, Information Management and Big Data.
  6. How can big data be used to reduce uncertainty in stormwater modelling?
    Nanée Chahinian, Anne-Laure Piat-Marchand, Sandra Bringay, Maguelonne Teisseire, Elodie Boulogne, Laurent Deruelle, Mustapha Derras, Carole Delenne
    Symposium of Spatial Accuracy, Jul 2016, Montpellier, France. 11th International Symposium of Spatial Accuracy, pp.322-329, 2016.
  7. Knowledge Discovery from Texts on Agriculture Domain
    Mathieu Roche
    MISC: Modelling and Implementation of Complex Systems, May 2016, Constantine, Algeria. 4th International Symposium on Modelling and Implementation of Complex Systems, 2016. <http://www.univ-constantine2.dz/misc2016/>
  8. Multilayer Graph Edge Bundling
    Romain Bourqui, Dino Ienco, Arnaud Sallaberry, Pascal Poncelet
    PacificVis: Pacific Visualization Symposium, Apr 2016, Taipei, Taiwan. IEEE, 9th IEEE Pacific Visualization Symposium, pp.184-188, 2016.
  9. Visual Analysis of Body Movement in Serious Games for Healthcare
    Oky Purwantiningsih, Arnaud Sallaberry, Sebastien Andary, Antoine Seilles, Jérôme Azé
    PacificVis: Pacific Visualization Symposium, Apr 2016, Taipei, Taiwan. IEEE, 9th IEEE Pacific Visualization Symposium, pp.229-233, 2016.
  10. Communication Overload Management Through Social Interactions Clustering
    Juan Antonio Lossio-Ventura, Hakim Hacid, Mathieu Roche, Pascal Poncelet
    SAC: Symposium on Applied Computing, Apr 2016, Pisa, Italy. ACM Press, 31st Annual ACM Symposium on Applied Computing, pp.1166-1169, 2016.
  11. RetweetPatterns: Detection of Spatio-Temporal Patterns of Retweets
    Tomy Rodrigues, Tiago Cunha, Dino Ienco, Pascal Poncelet, Carlos Soares
    WorldCIST: World Conference on Information Systems and Technologies, Mar 2016, Recife, Brazil. 4th World Conference on Information Systems and Technologies, Advances in Intelligent Systems and Computing (444), pp.879-888, 2016, New Advances in Information Systems and Technologies.
  12. Querying RDF Data Using A Multigraph-based Approach
    Vijay Ingalalli, Dino Ienco, Pascal Poncelet, Serena Villata
    EDBT: Extending Database Technology, Mar 2016, Bordeaux, France. 19th International Conference on Extending Database Technology, 2016. <http://edbticdt2016.labri.fr/>
  13. A Way to Automatically Enrich Biomedical Ontologies
    Juan Antonio Lossio-Ventura, Clement Jonquet, Mathieu Roche, Maguelonne Teisseire
    EDBT: Extending Database Technology, Mar 2016, Bordeaux, France. ACM, 18th International Conference on Extending Database Technology, 1, 2016. <http://edbticdt2016.labri.fr/>
  14. Manipulation interactive d'ensemble de motifs : application aux parcours hospitaliers
    Yves Mercadier, Jessica Pinaire, Jérôme Azé, Sandra Bringay, Maguelonne Teisseire
    EGC: Extraction et Gestion des Connaissances, Jan 2016, Reims, France. 16ème Conférence Internationale Francophone sur l’Extraction et Gestion des Connaissances, RNTI-E-30, pp.457-462, 2016.
  15. Concept drift vs suicide: comment l'un peut prévenir l'autre ?
    Cédric Maigrot, Sandra Bringay, Jérôme Azé
    EGC: Extraction et Gestion des Connaissances, Jan 2016, Reims, France. 16ème Conférence Internationale Francophone sur l’Extraction et Gestion des Connaissances, RNTI-E-30, pp.219-230, 2016.
  16. Nouvelle méthode de calcul de la réputation dans les forums de santé
    Amine Abdaoui
    EGC: Extraction et Gestion des Connaissances, Jan 2016, Reims, France. 16ème Conférence Internationale Francophone sur l’Extraction et Gestion des Connaissances, RNTI-E-30, pp.231-236, 2016.
  17. MuEVo, a breast cancer Consumer Health Vocabulary built out of web forums
    Solène Eholié, Mike Donald Tapi Nzali, Sandra Bringay, Clement Jonquet
    A. Paschke; A. Burger; A. Splendiani; M.S. Marshall; P. Romano. SWAT4LS: Semantic Web Applications and Tools for Life Sciences, 2016, Amsterdam, Netherlands. 9th International Semantic Web Applications and Tools for Life Sciences, 2016.

2015

  1. EasySDM: An Integrated and Easy to Use Spatial Data Mining Platform
    Leila Hamdad, Amine Abdaoui, Nabila Belattar, Mohamed Ala
    KDIR: Knowledge Discovery and Information Retrieval, Nov 2015, Lisbonne, Portugal. <http://www.kdir.ic3k.org/>
  2. Collaborative Content-Based Method for Estimating User Reputation in Online Forums
    Amine Abdaoui, Jérôme Azé, Sandra Bringay, Pascal Poncelet
    WISE: Web Information Systems Engineering, Nov 2015, Miami, United States. Springer, 16th International Conference, Miami, FL, USA, November 1–3, 2015, Proceedings, Part II, LNCS (9419), pp.292-299, 2015, Web Information Systems Engineering – WISE 2015.
  3. Detecting Epidemics Using Data Mining Techniques
    Pascal Poncelet
    Tri-National Scientific Workshop Climate change: Observation, Analysis and Health, Oct 2015, Bogor, Indonesia. 2015.
  4. Automatic Extraction of Time Expressions Across Domains in French Narratives
    Mike Donald Tapi Nzali, Xavier Tannier, Aurélie Névéol
    EMNLP: Empirical Methods in Natural Language Processing, Sep 2015, Lisbonne, Portugal. Conference on Empirical Methods in Natural Language Processing, pp.492-498, 2015.
  5. How to deal with heterogeneous data?
    Mathieu Roche
    SIMBig: Symposium on Information Management and Big Data, Sep 2015, Cusco, Peru. 2nd Annual International Symposium on Information Management and Big Data, 1478 (19-20), 2015, CEUR Workshop Proceedings. <http://ceur-ws.org/Vol-1478/>
  6. Opinion Mining: Taking into account the criteria!
    Pascal Poncelet
    SIMBig: Symposium on Information Management and Big Data, Sep 2015, Cusco, Peru. 2nd Annual International Symposium on Information Management and Big Data, pp.17-18, 2015.
  7. Explain sentiments using Conditional Random Field and a Huge Lexical Network
    Mike Donald Tapi Nzali, Joël Maïzi, Pierre Pompidor, Sandra Bringay, Christian Lavergne, Caroline Bascoul-Mollevi
    SIMBig: Symposium on Information Management and Big Data, Sep 2015, Cusco, Peru. 2nd Annual International Symposium on Information Management and Big Data, CEUR Workshop Proceedings (1478), 2015, Information Management and Big Data. <http://simbig.org/SIMBig2015/>
  8. E-Patient reputation in Health Forums
    Amine Abdaoui, Jérôme Azé, Sandra Bringay, Pascal Poncelet
    MEDINFO: World Congress on Health and Biomedical Informatics, Aug 2015, São Paulo, Brazil. pp.137-141, MEDINFO'2015: 15th World Congress on Health and Biomedical Informatics.
  9. Layer-Centered Approach for Multigraphs Visualization
    Denis Redondo, Arnaud Sallaberry, Dino Ienco, Faraz Zaidi, Pascal Poncelet
    IV: Information Visualisation, Jul 2015, Barcelone, Spain. IEEE, 19th International Conference Information Visualisation, pp.50-55, 2015.
  10. RNA-SequenLens for Visualizing RNA Secondary Structures
    Florence Ying Wang, Arnaud Sallaberry, Mathieu Roche
    BioVis: Biological Data Visualization, Jul 2015, Dublin, Ireland. ISMB/ECCB, 5th Symposium on Biological Data Visualization, 2015.
  11. Assisting e-patients in an Ask the Doctor Service
    Amine Abdaoui, Jérôme Azé, Sandra Bringay, Pascal Poncelet
    MIE: Medical Informatics Europe, May 2015, Madrid, Spain. 26th Medical Informatics Europe Conference, Digital healthcare empowering Europeans, 2015.
  12. Mining Multi-Relational Gradual Patterns
    Nhathai Phan, Dino Ienco, Donato Malerba, Pascal Poncelet, Maguelonne Teisseire
    SDM: SIAM Data Mining, Apr 2015, Vancouver, Canada. 15th SIAM International Conference on Data Mining, 2015. <10.1137/1.9781611974010.95>
  13. SentiCompass: Interactive visualization for exploring and comparing the sentiments of time-varying twitter data
    Florence Ying Wang, Arnaud Sallaberry, Karsten Klein, Masahiro Takatsuka, Mathieu Roche
    IEEE. PacificVis: Pacific Visualization Symposium, Apr 2015, Hangzhou, China. pp.129-133, 2015.
  14. Knowledge-Based Representation for Transductive Multilingual Document Classification
    Salvatore Romeo, Dino Ienco, Andrea Tagarelli
    ECIR: European Conference on Information Retrieval, Mar 2015, Vienna, Austria. 37th European Conference on IR Research, ECIR 2015, Vienna, Austria, March 29 - April 2, 2015. Proceedings, LNCS (9022), pp.92-103, 2015, Advances in Information Retrieval.
  15. Towards Linked Data Extraction From Tweets
    Manel Achichi, Zohra Bellahsene, Dino Ienco, Konstantin Todorov
    EGC: Extraction et Gestion des Connaissances, Jan 2015, Luxembourg, Luxembourg. 15èmes Journées Internationales Francophones sur l’Extraction et la Gestion des Connaissances, RNTI-E-28, pp.383-388, 2015.

2014

  1. Exploiting Textual Source Information for Epidemiosurveillance
    Elena Arsevska, Mathieu Roche, Renaud Lancelot, Pascal Hendrikx, Barbara Dufour
    MTSR: Metadata and Semantics Research, Nov 2014, Karlsruhe, Germany. Springer, 478, pp.359-361, 2014, Communications in Computer and Information Science.
  2. HydroQual: Visual analysis of river water quality
    Pierre Accorsi, Arnaud Sallaberry, Nathalie Lalande, Sandra Bringay, Florence Le Ber, Pascal Poncelet, Mickaël Fabrègue, Flavie Cernesson, Agnès Braud, Maguelonne Teisseire
    VAST: Visual Analytics Science and Technology, Nov 2014, Paris, France. IEEE Conference on Visual Analytics Science and Technology, pp.123-132, 2014.
  3. Mining Representative Frequent Patterns in a Hierarchy of Contexts
    Julien Rabatel, Sandra Bringay, Pascal Poncelet
    IDA: Advances in Intelligent Data Analysis, Oct 2014, Leuven, Belgium. 13th International Symposium on Intelligent Data Analysis, LNCS (8819), pp.239-250, 2014, Advances in Intelligent Data Analysis XIII.
  4. Semantic-Based Multilingual Document Clustering via Tensor Modeling
    Salvatore Romeo, Andrea Tagarelli, Dino Ienco
    EMNLP: Empirical Methods in Natural Language Processing, Oct 2014, Doha, Qatar. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), October 25-29, 2014, Doha, Qatar, pp.600-609, 2014.
  5. Mining Tweet Data - Statistic and semantic information for political tweet classification
    Guillaume Tisserant, Violaine Prince, Mathieu Roche
    KDIR: Knowledge Discovery and Information Retrieval, Oct 2014, Rome, Italy. 6th International Conference on Knowledge Discovery and Information Retrieval, pp.523-529, 2014, Text-Mining Session.
  6. BIOTEX: A system for Biomedical Terminology Extraction, Ranking, and Validation
    Juan Antonio Lossio-Ventura, Clement Jonquet, Mathieu Roche, Maguelonne Teisseire
    ISWC: International Semantic Web Conference, Oct 2014, Riva del Garda, Italy. 13th International Semantic Web Conference - Posters & Demonstrations, CEUR-WS.org (1272), pp.157-160, 2014, Posters & Demonstrations.
  7. Vers une géographie de la connaissance construite à partir des traces individuelles dans les réseaux sociaux
    Philippe Lemoisson, Mathieu Roche
    CARI: Colloque Africain sur la Recherche en Informatique et Mathématiques Appliquées, Oct 2014, Saint-Louis, Sénégal. 12th African Conference on Research in Computer Science and Applied Mathematics, 2014. <http://www.cari-info.org/PROG-CARI2014.php>
  8. Predicting Medical Roles in Online Health Fora
    Amine Abdaoui, Jérôme Azé, Sandra Bringay, Natalia Grabar, Pascal Poncelet
    SLSP: Statistical Language and Speech Processing, Oct 2014, Grenoble, France. 2nd International Conference on Statistical Language and Speech Processing, LNCS (8791), pp.247-258, 2014, Statistical Language and Speech Processing.
  9. Yet Another Ranking Function for Automatic Multiword Term Extraction
    Juan Antonio Lossio-Ventura, Clement Jonquet, Mathieu Roche, Maguelonne Teisseire
    A. Przepiórkowski; M. Ogrodniczuk. PolTAL: Natural Language Processing, Sep 2014, Warsaw, Poland. Springer, 9th International Conference on Natural Language Processing took place on 17–19 September 2014 in Warsaw, Poland., LNCS (8686), pp.52-64, 2014, Advances in Natural Language Processing.
  10. Contextual Itemset Mining in DBpedia
    Julien Rabatel, Madalina Croitoru, Dino Ienco, Pascal Poncelet
    LD4KD: Linked Data for Knowledge Discovery, Sep 2014, Nancy, France. CEUR, 1232, http://ceur-ws.org/Vol-1232/, 2014, Proceedings of the 1st Workshop on Linked Data for Knowledge Discovery (LD4KD).
  11. Natural Language Processing for Social networks
    Mathieu Roche
    SIMBig: Symposium on Information Management and Big Data, Sep 2014, Cusco, Peru. 1st Symposium on Information Management and Big Data, 2014. <https://www.lirmm.fr/simbig2014/>
  12. SIFR Project: The Semantic Indexing of French Biomedical Data Resources
    Juan Antonio Lossio-Ventura, Clement Jonquet, Mathieu Roche, Maguelonne Teisseire
    SIMBig: Symposium on Information Management and Big Data, Sep 2014, Cusco, Peru. CEUR Workshop, 1st Symposium on Information Management and Big Data, 1318, pp.4, 2014, Proceedings of the 1st Symposium on Information Management and Big Data - SIMBig 2014.
  13. BioTex: A system for biomedical terminology extraction, ranking, and validation
    Juan Antonio Lossio-Ventura, Clement Jonquet, Mathieu Roche, Maguelonne Teisseire
    SIMBig: Symposium on Information Management and Big Data, Sep 2014, Cusco, Peru. 1st Symposium on Information Management and Big Data, 2014. <https://simbig.org/SIMBig2014/>
  14. ANIMITEX project: Image Analysis based on Textual Information
    Hugo Alatrista Salas, Eric Kergosien, Mathieu Roche, Maguelonne Teisseire
    Juan Antonio Lossio-Ventura; Hugo Alatrista-Salas. SIMBig: Symposium on Information Management and Big Data, Sep 2014, Cusco, Peru. pp.49-52, 2014.
  15. Steganalysis with cover-source mismatch and a small learning database
    Jérôme Pasquet, Sandra Bringay, Marc Chaumont
    EUSIPCO: EUropean SIgnal Processing COnference, Sep 2014, Lisbon, Portugal. pp.2425-2429, 2014, Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European.
  16. Breast cancer and quality of life: medical information extraction from health forums
    Thomas Opitz, Jérôme Azé, Sandra Bringay, Cyrille Joutard, Christian Lavergne, Caroline Mollevi
    MIE: Medical Informatics Europe, Aug 2014, Istanbul, Turkey. 25th Medical Informatics Europe Conference, pp.1070-1074, 2014.
  17. Evaluation of fusion methods for crop monitoring purposes
    Mar Bisquert, Agnès Bégué, Pascal Poncelet, Maguelonne Teisseire
    IGARSS: International Geoscience and Remote Sensing Symposium, Jul 2014, Québec, Canada. IEEE International Geoscience and Remote Sensing Symposium, pp.1429-1432, 2014.
  18. Integration of Linguistic and Web Information to Improve Biomedical Terminology Extraction
    Juan Antonio Lossio-Ventura, Clement Jonquet, Mathieu Roche, Maguelonne Teisseire
    IDEAS: International Database Engineering & Applications Symposium, Jul 2014, Porto, Portugal. ACM, IDEAS'14: 18th International Database Engineering & Applications Symposium, pp.265-269, 2014.
  19. Classification of Small Datasets: Why Using Class-Based Weighting Measures?
    Flavien Bouillot, Pascal Poncelet, Mathieu Roche
    ISMIS: International Symposium on Methodologies for Intelligent Systems, Jun 2014, Roskilde, Denmark. Springer-Verlag, pp.345-354, 2014, LNCS.
  20. Biomedical Terminology Extraction: A new combination of Statistical and Web Mining Approaches
    Juan Antonio Lossio-Ventura, Clement Jonquet, Mathieu Roche, Maguelonne Teisseire
    JADT: Journées d'Analyse statistique des Données Textuelles, Jun 2014, Paris, France. 13èmes Journées Internationales d'Analyse statistique des Données Textuelles, pp.421-432, 2014.
  21. Towards Electronic SMS Dictionary Construction: An Alignment-based Approach
    Cédric Lopez, Reda Bestandji, Mathieu Roche, Rachel Panckhurst
    LREC: Language Resources and Evaluation Conference, May 2014, Reykjavik, Iceland. International Conference on Language Resources and Evaluation, pp.2833-2838, 2014.
  22. How to exploit paralinguistic features to identify acronyms in texts?
    Mathieu Roche
    LREC: Language Resources and Evaluation Conference, May 2014, Reykjavik, Iceland. 9th International Conference on Language Resources and Evaluation, pp.69-72, 2014.
  23. Looking for Opinion in Land-Use Planning Corpora
    Eric Kergosien, Cédric Lopez, Mathieu Roche, Maguelonne Teisseire
    CICLing: Conference on Intelligent Text Processing and Computational Linguistics, Apr 2014, Kathmandu, Nepal. Springer-Verlag, 15th International Conference on Intelligent Text Processing and Computational Linguistics, Proceedings, Part II, LNCS (8404), pp.128-140, 2014, Computational Linguistics and Intelligent Text Processing.
  24. De nouvelles pondérations adaptées à la classification de petits volumes de données textuelles
    Flavien Bouillot, Pascal Poncelet, Mathieu Roche
    EGC: Extraction et Gestion des Connaissances, Jan 2014, Rennes, France. 14ème Conférence Internationale Francophone sur l’Extraction et Gestion des Connaissances, RNTI-E-26, pp.131-142, 2014.
  25. Vectorisation paramétrée des données textuelles
    Célia Da Costa Pereira, Mathieu Lafourcade, Patrick Lloret, Cédric Lopez, Mathieu Roche
    EGC: Extraction et Gestion des Connaissances, Jan 2014, Rennes, France. 14èmes Journées Internationales Francophones sur l’Extraction et la Gestion des Connaissances, RNTI-E-26, pp.593-596, 2014.
  26. Que ressentent les patients ?
    Soumia Melzi, Amine Abdaoui, Jérôme Azé, Sandra Bringay, Pascal Poncelet, Florence Galtier
    EGC: Extraction et Gestion des Connaissances, Jan 2014, Rennes, France. pp.449-454. &#x27E8;lirmm-01130711&#x27E9;.
  27. Patient's rationale: Patient Knowledge retrieval from health forums
    Soumia Melzi, Amine Abdaoui, Jérôme Azé, Sandra Bringay, Pascal Poncelet, Florence Galtier
    eTELEMED: eHealth, Telemedicine, and Social Medicine, 2014, Barcelone, Spain. &#x27E8;lirmm-01130720&#x27E9;.

Mots-clés

Extraction et gestion de connaissances, fouille de données, motifs séquentiels, entrepôts de données, logique floue, ontologies, annotation automatique, bases de données

Dernière mise à jour le 30/01/2019