ADVANSE: ADVanced Analytics for data SciencE

The ADVANSE (Advanced Analytics for Data SciencE) team was created in 2014 and is attached to the LIRMM laboratory. This team is directed by Pascal Poncelet since its creation with Sandra Bringay as assistant since 2016. The team brings together assistant professor and professor from the Faculty of Sciences (2), the IUT Béziers (1), the IUT Montpellier (1) from the University of Montpellier and the MIAp (3) department of Paul Valéry University.

The research activities carried out by the ADVANSE team are part of the field of large database analysis in order to extract new knowledge. They concern the following three axes:

  • Data mining (DM) which pursues historical work with particular emphasis on the proposal of pattern mining approaches integrating either new dimensions such as, for example, the spatial dimension in the case of spatio-temporal patterns and trajectories or the dimensions associated with the different types of arcs that may exist in multigraphs;
  • Analytical Visualization (VA) that emphasizes analytical reasoning facilitated by interactive visual interfaces to help decision makers understand their data or better understand the knowledge extracted from these data;
  • Machine learning (ML) with definition of new approaches (e.g. detection of rare clusters, topics labeling), and special emphases on small or very large datasets via traditional approaches (e.g. SVM, Gradient Boosting, active learning) or more recent ones (e.g. deep learning). To cope with large numbers of dimensions (e.g. images, sounds, texts), deep learning has shown to be very effective for classification. However, the explainability of the results, or the definition of a good architecture remain very experimental exercises and constitute a real challenge for the scientific community.

 

The ADVANSE team, with this three axes, develops works on theoretical as well as experimental bases to tackle the associated problems.

Members

Staff

Associates & Students

Regular Co-workers

  • Jessica Pinaire, CHUNimes
  • Dino Ienco, Research Fellow IRSTEA

Publications 2014 - 2019: Evaluation period

International Journals

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.
  3. Angular - La figure de proue d’une nouvelle génération de frameworks web
    Pierre Pompidor
    Techniques de l'Ingénieur. Sécurité des systèmes d'information, Éditions T.I., 2019. <https://www.techniques-ingenieur.fr/base-documentaire/technologies-de-l-information-th9/programmation-42304210/angular-h3330/>
  4. Hospital burden of coronary artery disease: Trends of myocardial infarction and/or percutaneous coronary interventions in France 2009–2014
    Jessica Pinaire, Jérôme Azé, Sandra Bringay, Guillaume Cayla, Paul Landais
    PLoS ONE, Public Library of Science, 2019, 14 (5), pp.e0215649.

2018

  1. <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.
  2. 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, Peter 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>
  3. 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.
  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. MultiStream: A Multiresolution Streamgraph Approach to Explore Hierarchical Time Series
    Erick Cuenca Pauta, 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.
  9. 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.
  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.

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. 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, Special Issue: Chemoinformatics in France, 36 (10). <10.1002/minf.201700022>
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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, 5 (1). <10.1007/s13755-017-0020-2>
  9. 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, JMIR Publications, 2017, 19 (10). <10.2196/jmir.8421>
  10. 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.
  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.
  12. 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>

2016

  1. Fuzzy extensions of the DBScan clustering algorithm
    Dino Ienco, Gloria Bordogna
    Soft Computing, Springer Verlag, 2016, Methodologies and Application. <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.
  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, Fu Yang-Chih, 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.

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, 5 (1), pp.29.
  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. Dites-le dans le français que vous voulez !
    Rachel Panckhurst, Catherine Détrie, Cédric Lopez, Claudine Moïse, Mathieu Roche, Bertrand Verine
    Les invités de Mediapart, 2 avril 2015. Mediapart, Paris (8 passage Brulon ; 75012) : Société éditrice de Mediapart, 2008-, 2015. <https://blogs.mediapart.fr/edition/les-invites-de-mediapart/article/020415/dites-le-dans-le-francais-que-vous-voulez>
  6. 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.
  7. 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.
  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. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.

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
    Claude Flamand, Mickaël Fabrègue, Sandra Bringay, Vanessa Ardillon, Philippe Quénel, Jean-Claude Desenclos, Maguelonne Teisseire
    Journal of the American Medical Informatics Association, BMJ Publishing Group, 2014, 21 (e2), pp.232-240.
  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. 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.
  6. 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.
  7. 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.
  8. 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.
  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 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.

International Communications

2019

  1. Prediction of Missing Semantic Relations in Lexical-Semantic Network using Random Forest Classifier
    Kévin Cousot, Mehdi Mirzapour, Waleed Ragheb
    CJC PRAXILING 2019, Nov 2019, Montpellier, France.
  2. 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 2019 - Conference and Labs of the Evaluation Forum - Information Access Evaluation meets Multilinguality, Multimodality, and Visualization, Sep 2019, Lugano, Switzerland.
  3. 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, Fabien-Robert Stöter, Henning Müller
    ECIR 2019 - 41st European Conference on IR Research, Apr 2019, Cologne, Germany. pp.275-282.
  4. 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. <http://2019.hci.international>
  5. 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. pp.13-19.
  6. LIRMM-Advanse at SemEval-2019 Task 3: Attentive Conversation Modeling for Emotion Detection and Classification
    Waleed Ragheb, Jérôme Azé, Sandra Bringay, Maximilien Servajean
    SemEval: Semantic Evaluation in NAACL-HLT, Jun 2019, Minneapolis, MN, United States. pp.251-255.
  7. Ad-hoc study on soldiers calibration procedure in Virtual Reality
    Jean-Daniel Taupiac, Nancy Rodriguez, Olivier Strauss, Martin Rabier
    IEEE-VR: Virtual Reality and 3D User Interfaces, Mar 2019, Osaka, Japan. <http://ieeevr.org/2019/>
  8. Overview of GeoLifeCLEF 2019: plant species prediction using environment and animal occurrences
    Christophe Botella, Maximilien Servajean, Pierre Bonnet, Alexis Joly
    CLEF 2019 - Conference and Labs of the Evaluation Forum, Sep 2019, Lugano, Switzerland. <http://clef2018.clef-initiative.eu/>

2018

  1. 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. <10.1145/3231622.3231624>
  2. Visual Querying of Large Multilayer Graphs
    Erick Cuenca Pauta, Arnaud Sallaberry, Dino Ienco, Pascal Poncelet
    SSDBM: Scientific and Statistical Database Management, Jul 2018, Bozen-Bolzano, Italy. pp.32-34.
  3. [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. pp.437-440.
  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. pp.223-234.
  5. 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. <https://www.ismar2018.org>
  6. Semi-Supervised Clustering With Multiresolution Autoencoders
    Dino Ienco, Ruggero Pensa
    IJCNN: International Joint Conference on Neural Networks, Jul 2018, Rio de Janeiro, Brazil. <10.1109/IJCNN.2018.8489353>
  7. 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 Forum, Sep 2018, Avignon, France. <http://ceur-ws.org/Vol-2125/paper_119.pdf>
  8. 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. pp.391-395.
  9. Outil de formation aux compétences sociales en Réalité Virtuelle
    Jean-Daniel Taupiac, Nancy Rodriguez, Olivier Strauss
    GamEvolution, Jun 2018, Montpellier, France. <http://mrm.edu.umontpellier.fr/evenements/colloque-international-game-evolution/2eme-colloque-international-game-evolution-7-juin-2018>
  10. 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. <https://www.ijcai-18.org>
  11. 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. pp.352-363.

2017

  1. ICD-10 coding of death certificates with the NCBO and SIFR Annotators at CLEF eHealth 2017
    Andon Tchechmedjiev, Amine Abdaoui, Vincent Emonet, Clement Jonquet
    CLEF: Conference and Labs of the Evaluation Forum, Sep 2017, Dublin, Ireland. <https://sites.google.com/site/clefehealth2017/>
  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. pp.346-353.
  3. 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. pp.57-68.
  4. 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. pp.57-66.
  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. <http://www.graphicslink.co.uk/IV2017/>
  6. 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. <https://langandonto.github.io/LangOnto-TermiKS-2017/index.html>
  7. An Application of AOC-Posets: Indexing Large Corpuses for Text Generation Under Constraints
    Alain Gutierrez, Michel Chein, Marianne Huchard, Pierre Pompidor
    ISMIS: International Symposium on Methodologies for Intelligent Systems, Warsaw University of Technology, Poland, Jun 2017, Warsaw, Poland. pp.642-652.
  8. 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. <https://fallmeeting.agu.org/2017/>

2016

  1. Querying RDF Data Using A Multigraph-based Approach
    Vijay Ingalalli, Dino Ienco, Pascal Poncelet, Serena Villata
    EDBT: Extending Database Technology, Mar 2016, Bordeaux, France. pp.245-256.
  2. Nouvelle méthode de calcul de la réputation dans les forums de santé
    Amine Abdaoui
    EGC: Extraction et Gestion des Connaissances, Jan 2016, Reims, France. pp.231-236.
  3. 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. <http://medes.sigappfr.org/16/>
  4. 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
    Spatial Accuracy, Jul 2016, Montpellier, France. pp.322-329.
  5. 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. pp.229-233.
  6. Multilayer Graph Edge Bundling
    Romain Bourqui, Dino Ienco, Arnaud Sallaberry, Pascal Poncelet
    PacificVis: Pacific Visualization Symposium, Apr 2016, Taipei, Taiwan. pp.184-188.
  7. Knowledge Discovery from Texts on Agriculture Domain
    Mathieu Roche
    MISC: Modelling and Implementation of Complex Systems, May 2016, Constantine, Algeria. <http://www.univ-constantine2.dz/misc2016/>
  8. Découverte de nouvelles entités et relations spatiales à partir d’un corpus de SMS
    Sarah Zenasni, Eric Kergosien, Mathieu Roche, Maguelonne Teisseire
    TALN: Traitement Automatique des Langues Naturelles, Jul 2016, Paris, France. <https://jep-taln2016.limsi.fr/actes/index.php?lang=fr>
  9. Xart system: discovering and extracting correlated arguments of n-ary relations from text
    Soumia Lilia Berrahou, Patrice Buche, Juliette Dibie, Mathieu Roche
    6th International Conference on Web Intelligence, Mining and Semantics (WIMS), Jun 2016, Nimes, France. pp.8:1-8:12.
  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. pp.1166-1169.
  11. 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. <http://ceur-ws.org/Vol-1646/>
  12. SuMGra: Querying Multigraphs via Efficient Indexing
    Vijay Ingalalli, Dino Ienco, Pascal Poncelet
    DEXA: Database and Expert Systems Applications, Sep 2016, Porto, Portugal. pp.387-401.
  13. 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. <http://www.icpr2016.org/>
  14. 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. pp.879-888.
  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. pp.219-230.
  16. MuEVo, a breast cancer Consumer Health Vocabulary built out of web forums
    Solène Eholié, Mike Donald Tapi Nzali, Sandra Bringay, Clement Jonquet
    SWAT4LS: Semantic Web Applications and Tools for Life Sciences, 2016, Amsterdam, Netherlands.
  17. 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. pp.457-462.

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. pp.292-299.
  3. Detecting Epidemics Using Data Mining Techniques
    Pascal Poncelet
    Tri-National Scientific Workshop Climate change: Observation, Analysis and Health, Oct 2015, Bogor, Indonesia.
  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. pp.492-498.
  5. Opinion Mining: Taking into account the criteria!
    Pascal Poncelet
    SIMBig: Symposium on Information Management and Big Data, Sep 2015, Cusco, Peru. pp.17-18.
  6. 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.
  7. RNA-SequenLens for Visualizing RNA Secondary Structures
    Florence Ying Wang, Arnaud Sallaberry, Mathieu Roche
    BioVis: Biological Data Visualization, Jul 2015, Dublin, Ireland.
  8. 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.
  9. Mining Multi-Relational Gradual Patterns
    Nhathai Phan, Dino Ienco, Donato Malerba, Pascal Poncelet, Maguelonne Teisseire
    SDM: SIAM Data Mining, Apr 2015, Vancouver, Canada. <10.1137/1.9781611974010.95>
  10. 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
    PacificVis: Pacific Visualization Symposium, Apr 2015, Hangzhou, China. pp.129-133.
  11. Knowledge-Based Representation for Transductive Multilingual Document Classification
    Salvatore Romeo, Dino Ienco, Andrea Tagarelli
    ECIR: European Conference on Information Retrieval, Mar 2015, Vienna, Austria. pp.92-103.
  12. 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. <http://simbig.org/SIMBig2015/>
  13. How to deal with heterogeneous data?
    Mathieu Roche
    SIMBig: Symposium on Information Management and Big Data, Sep 2015, Cusco, Peru. pp.19-20.
  14. Towards Linked Data Extraction From Tweets
    Manel Achichi, Zohra Bellahsene, Dino Ienco, Konstantin Todorov
    EGC: Extraction et Gestion des Connaissances, Jan 2015, Luxembourg, Luxembourg. pp.383-388.
  15. Layer-Centered Approach for Multigraphs Visualization
    Denis Redondo, Arnaud Sallaberry, Dino Ienco, Faraz Zaidi, Pascal Poncelet
    IV: Information Visualisation, Jul 2015, Barcelone, Spain. pp.50-55.

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. pp.359-361.
  2. 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. pp.239-250.
  3. 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. pp.600-609.
  4. 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. pp.523-529.
  5. 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. pp.157-160.
  6. 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. pp.247-258.
  7. Yet Another Ranking Function for Automatic Multiword Term Extraction
    Juan Antonio Lossio-Ventura, Clement Jonquet, Mathieu Roche, Maguelonne Teisseire
    PolTAL: Natural Language Processing, Sep 2014, Warsaw, Poland. pp.52-64.
  8. Contextual Itemset Mining in DBpedia
    Julien Rabatel, Madalina Croitoru, Dino Ienco, Pascal Poncelet
    LD4KD: Linked Data for Knowledge Discovery, Sep 2014, Nancy, France.
  9. ANIMITEX project: Image Analysis based on Textual Information
    Hugo Alatrista Salas, Eric Kergosien, Mathieu Roche, Maguelonne Teisseire
    SIMBig: Symposium on Information Management and Big Data, Sep 2014, Cusco, Peru. pp.49-52.
  10. 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, Juan Antonio Lossio-Ventura; Hugo Alatrista-Salas, Sep 2014, Cusco, Peru. pp.58-61.
  11. 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.
  12. 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. pp.1070-1074.
  13. 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. pp.265-269.
  14. 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. pp.421-432.
  15. 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. pp.2833-2838.
  16. How to exploit paralinguistic features to identify acronyms in texts?
    Mathieu Roche
    LREC: Language Resources and Evaluation Conference, May 2014, Reykjavik, Iceland. pp.69-72.
  17. 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.
  18. 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.
  19. 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. pp.593-596.
  20. 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. pp.345-354.
  21. 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. pp.131-142.
  22. 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. pp.1429-1432.
  23. 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. pp.123-132.
  24. 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. <http://www.cari-info.org/PROG-CARI2014.php>
  25. NLP approaches: How to Identify Relevant Information in Social Networks?
    Mathieu Roche
    SIMBig: Symposium on Information Management and Big Data, Sep 2014, Cusco, Peru. <https://www.lirmm.fr/simbig2014/>
  26. 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. pp.128-140.

Tags

Data mining, Analytical visualization, Machine learning

Last update on 14/11/2019