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  • IdHAL : pascal-poncelet

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35

Pascal Poncelet


Dino Ienco   

Journal articles8 documents

  • Vijay Ingalalli, Dino Ienco, Pascal Poncelet. Mining Frequent Subgraphs in Multigraphs. Information Sciences, Elsevier, 2018, 451-452, pp.50-66. ⟨10.1016/j.ins.2018.04.001⟩. ⟨lirmm-01761235⟩
  • Fabio Güttler, Dino Ienco, Jordi Nin, Maguelonne Teisseire, Pascal Poncelet. A graph-based approach to detect spatiotemporal dynamics in satellite image time series. ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, 2017, 130, pp.92-107. ⟨10.1016/j.isprsjprs.2017.05.013⟩. ⟨lirmm-01541930⟩
  • Roberto Interdonato, Andrea Tagarelli, Dino Ienco, Arnaud Sallaberry, Pascal Poncelet. Local Community Detection in Multilayer Networks. Data Mining and Knowledge Discovery, Springer, 2017, ECML PKDD Conference 2017, 31 (5), pp.1444-1479. ⟨10.1007/s10618-017-0525-y⟩. ⟨lirmm-01705312⟩
  • Dino Ienco, Vijay Ingalalli, Pascal Poncelet. Leveraging efficient indexing schema to support multigraph query answering. Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, Lavoisier, 2016, 21 (3), pp.53-74. ⟨10.3166/isi.21.3.53-74⟩. ⟨lirmm-01399606⟩
  • Fábio Nór Güttler, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire. Combining transductive and active learning to improve object-based classification of remote sensing images. Remote Sensing Letters, Taylor and Francis, 2016, 7 (4), pp.358-367. ⟨10.1080/2150704X.2016.1142678⟩. ⟨lirmm-01275515⟩
  • Yoann Pitarch, Dino Ienco, Elodie Vintrou, Agnès Bégué, Anne Laurent, et al.. Spatio-temporal data classification through multidimensional sequential patterns: Application to crop mapping in complex landscape. Engineering Applications of Artificial Intelligence, Elsevier, 2015, 37, pp.91-102. ⟨10.1016/j.engappai.2014.09.001⟩. ⟨lirmm-01239175⟩
  • Elias Egho, Nicolas Jay, Chedy Raïssi, Dino Ienco, Pascal Poncelet, et al.. A contribution to the discovery of multidimensional patterns in healthcare trajectories. Journal of Intelligent Information Systems, Springer Verlag, 2014, 42 (2), pp.283 - 305. ⟨10.1007/s10844-014-0309-4⟩. ⟨hal-01094377⟩
  • Mathieu Roche, Maguelonne Teisseire, Bruno Crémilleux, Pierre Gancarski, Christian Sallaberry, et al.. Animitex : Analyse d'Images fondée sur des Informations Textuelles. Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, Lavoisier, 2014, 19 (3), pp.163-167. ⟨10.3199/ISI.18.1.1⟩. ⟨lirmm-01054924⟩

Conference papers22 documents

  • Erick Cuenca Pauta, Arnaud Sallaberry, Dino Ienco, Pascal Poncelet. Visual Querying of Large Multilayer Graphs. SSDBM: Scientific and Statistical Database Management, Jul 2018, Bozen-Bolzano, Italy. pp.32-34, ⟨10.1145/3221269.3223027⟩. ⟨lirmm-01847422⟩
  • Roberto Interdonato, Andrea Tagarelli, Dino Ienco, Arnaud Sallaberry, Pascal Poncelet. Node-Centric Community Detection in Multilayer Networks with Layer-Coverage Diversification Bias. CompleNet, Mar 2017, Dubrovnik, Croatia. pp.57-66, ⟨10.1007/978-3-319-54241-6_5⟩. ⟨lirmm-01912004⟩
  • Vijay Ingalalli, Dino Ienco, Pascal Poncelet, Serena Villata. Querying RDF Data Using A Multigraph-based Approach. EDBT: Extending Database Technology, Mar 2016, Bordeaux, France. pp.245-256, ⟨10.5441/002/edbt.2016.24⟩. ⟨lirmm-01245146⟩
  • Romain Bourqui, Dino Ienco, Arnaud Sallaberry, Pascal Poncelet. Multilayer Graph Edge Bundling. IEEE Pacific Visualization Symposium (PacificVis), Apr 2016, Taipei, Taiwan. pp.184-188, ⟨10.1109/PACIFICVIS.2016.7465267⟩. ⟨lirmm-01304602⟩
  • Roberto Interdonato, Andrea Tagarelli, Dino Ienco, Arnaud Sallaberry, Pascal Poncelet. Local community detection in multilayer networks. ASONAM, Aug 2016, San Francisco, United States. pp.1382-1383. ⟨hal-02605181⟩
  • Tomy Rodrigues, Tiago Cunha, Dino Ienco, Pascal Poncelet, Carlos Soares. RetweetPatterns: Detection of Spatio-Temporal Patterns of Retweets. 4th World Conference on Information Systems and Technologies (WorldCIST), Mar 2016, Recife, Brazil. pp.879-888, ⟨10.1007/978-3-319-31232-3_83⟩. ⟨lirmm-01362428⟩
  • Vijay Ingalalli, Dino Ienco, Pascal Poncelet. SuMGra: Querying Multigraphs via Efficient Indexing. DEXA: Database and Expert Systems Applications, Sep 2016, Porto, Portugal. pp.387-401, ⟨10.1007/978-3-319-44403-1_24⟩. ⟨lirmm-01362431⟩
  • Nhathai Phan, Dino Ienco, Donato Malerba, Pascal Poncelet, Maguelonne Teisseire. Mining Multi-Relational Gradual Patterns. SDM: SIAM Data Mining, Apr 2015, Vancouver, Canada. pp.9, ⟨10.1137/1.9781611974010.95⟩. ⟨lirmm-01239187⟩
  • Denis Redondo, Arnaud Sallaberry, Dino Ienco, Faraz Zaidi, Pascal Poncelet. Layer-Centered Approach for Multigraphs Visualization. 19th International Conference Information Visualisation (IV), Jul 2015, Barcelone, Spain. pp.50-55, ⟨10.1109/iv.2015.20⟩. ⟨lirmm-01275379⟩
  • Julien Rabatel, Madalina Croitoru, Dino Ienco, Pascal Poncelet. Contextual Itemset Mining in DBpedia. LD4KD: Linked Data for Knowledge Discovery, Sep 2014, Nancy, France. pp.27-36. ⟨lirmm-01076887⟩
  • Fabio Güttler, Samuel Alleaume, Christina Corbane, Dino Ienco, J. Nin, et al.. Exploring high repetitivity remote sensing time series for mapping and monitoring natural habitats — A new approach combining OBIA and k-partite graphs. IEEE International Symposium on Geoscience and Remote Sensing (IGARSS), Jul 2014, Quebec City, Canada. pp.3930-3933, ⟨10.1109/IGARSS.2014.6947344⟩. ⟨hal-02108532⟩
  • Dino Ienco, Albert Bifet, Bernhard Pfahringer, Pascal Poncelet. Détection de changements dans des flots de données qualitatives. 14e Journées Internationales Francophones sur l'Extraction et la Gestion des Connaissances (EGC), Jan 2014, Rennes, France. pp.517-520. ⟨hal-01556565⟩
  • Phan Nhat Hai, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire. Mining Representative Movement Patterns through Compression. PAKDD: Pacific-Asia Conference on Knowledge Discovery and Data Mining, Apr 2013, Gold Coast, Australia. pp.314-326, ⟨10.1007/978-3-642-37453-1_26⟩. ⟨lirmm-00798072⟩
  • Flavien Bouillot, Pascal Poncelet, Mathieu Roche, Dino Ienco, Elnaz Bigdeli, et al.. French Presidential Elections: What are the most Efficient Measures for Tweets?. PLEAD: Proceedings of the Workshop Politics, Elections and Data, 2012, Maui, United States. pp.23-30, ⟨10.1145/2389661.2389669⟩. ⟨lirmm-00801028⟩
  • Phan Nhat Hai, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire. Mining Fuzzy Moving Object Clusters. 8th International Conference on Advanced Data Mining and Applications (ADMA), Dec 2012, Nanjing, China. pp.100-114, ⟨10.1007/978-3-642-35527-1_9⟩. ⟨lirmm-00798148⟩
  • Dino Ienco, Yoann Pitarch, Pascal Poncelet, Maguelonne Teisseire. Towards an Automatic Construction of Contextual Attribute-Value Taxonomies. SAC: Symposium on Applied Computing, Mar 2012, Riva del Garda, Trento, Italy. pp.113-118, ⟨10.1145/2245276.2245301⟩. ⟨lirmm-00798075⟩
  • Phan Nhat Hai, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire. Extracting Trajectories through an Efficient and Unifying Spatio-Temporal Patten Mining System. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Sep 2012, Bristol, United Kingdom. pp.820-823, ⟨10.1007/978-3-642-33486-3_55⟩. ⟨lirmm-00732662⟩
  • Dino Ienco, Yoann Pitarch, Pascal Poncelet, Maguelonne Teisseire. Vers une méthode automatique de construction de hiérarchies contextuelles. EGC: Extraction et Gestion des Connaissances, 2012, Bordeaux, France. pp.335-346. ⟨lirmm-00798254⟩
  • Elias Egho, Chedy Raïssi, Dino Ienco, Nicolas Jay, Amedeo Napoli, et al.. Healthcare trajectory mining by combining multidimensional component and itemsets. ECML-PKDD 2012, Sep 2012, Bristol, United Kingdom. p. 116 - p. 127. ⟨hal-00801813⟩
  • Flavien Bouillot, Phan Nhat Hai, Nicolas Béchet, Sandra Bringay, Dino Ienco, et al.. How to Extract Relevant Knowledge from Tweets?. International Workshop on Information Search, Integration, and Personalization (ISIP), Oct 2012, Sapporo, Japan. pp.111-120, ⟨10.1007/978-3-642-40140-4_12⟩. ⟨lirmm-00798662⟩
  • Phan Nhat Hai, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire. Mining Time Relaxed Gradual Moving Object Clusters. 20th ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL), Nov 2012, Redondo Beach, United States. pp.478-481, ⟨10.1145/2424321.2424394⟩. ⟨lirmm-00798076⟩
  • Elias Egho, Dino Ienco, Nicolas Jay, Amedeo Napoli, Pascal Poncelet, et al.. Healtcare Trajectory Mining by Combining Multi-dimensional Component and Itemsets. NFMCP: New Frontiers in Mining Complex Patterns, Sep 2012, Bristol, United Kingdom. ⟨10.1007/978-3-642-37382-4_8⟩. ⟨lirmm-00732661⟩

Poster communications1 document

  • Erick Cuenca Pauta, Arnaud Sallaberry, Dino Ienco, Pascal Poncelet. Visual Querying and Exploring of Large Multilayer Graphs. VIS, Oct 2018, Berlin, Germany. IEEE, Conference on Scientific Visualization, Information Visualization and Visual Analytics, 2018. ⟨lirmm-01912384⟩

Book sections1 document

  • Vijay Ingalalli, Dino Ienco, Pascal Poncelet. Querying RDF Data: A Multigraph Based Approach. Olivier Pivert. NoSQL Data Models • Trends and Challenges, 1, ISTE–WILEY, 2018, Base de données et Big Data • Databases and Big Data, 9781786303646. ⟨10.1002/9781119528227.ch5⟩. ⟨lirmm-01910660⟩

Patents2 documents

  • Renaud Cezar, Dino Ienco, André Mas, Florent Masseglia, Pascal Poncelet, et al.. Process for identifying rare events. France, Patent n° : WO/2014/118343. 2014. ⟨hal-02608923⟩
  • Renaud Cezar, Dino Ienco, André Mas, Florent Masseglia, Pascal Poncelet, et al.. Process for identifying rare events. United States, Patent n° : US 20150363551 A1, WO 2014118343 A2, PCT/EP2014/051963. 2014. ⟨lirmm-00913008⟩

Reports1 document

  • Flavien Bouillot, Dino Ienco, Stan Matwin, Pascal Poncelet, Mathieu Roche. Presidential Election 2012: How French politicians tweet?. RR-12011, 2012. ⟨lirmm-00688651⟩