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Number of documents

122

Publications


Journal articles30 documents

  • Céline Robardet, Léonard Tschora, Erwan Pierre, Marc Plantevit. Electricity price forecasting on the day-ahead market using machine learning. Applied Energy, Elsevier, 2022, 313, pp.118752. ⟨10.1016/j.apenergy.2022.118752⟩. ⟨hal-03621974⟩
  • Anes Bendimerad, Marc Plantevit, Céline Robardet, Sihem Amer-Yahia. User-driven geolocated event detection in social media. IEEE Transactions on Knowledge and Data Engineering, Institute of Electrical and Electronics Engineers, 2021, 33 (2), pp.796-809. ⟨10.1109/TKDE.2019.2931340⟩. ⟨hal-02272082⟩
  • Corentin Lonjarret, Roch Auburtin, Céline Robardet, Marc Plantevit. Sequential recommendation with metric models based on frequent sequences. Data Mining and Knowledge Discovery, Springer, 2021, ⟨10.1007/s10618-021-00744-w⟩. ⟨hal-03191177⟩
  • Anes Bendimerad, Ahmad Mel, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, et al.. SIAS-miner: mining subjectively interesting attributed subgraphs. Data Mining and Knowledge Discovery, Springer, In press, 34 (2), pp.355-393. ⟨10.1007/s10618-019-00664-w⟩. ⟨hal-02378174⟩
  • Carmen Licón, Guillaume Bosc, Mohammed Sabri, Marylou Mantel, Arnaud Fournel, et al.. Chemical features mining provides new descriptive structure-odor relationships. PLoS Computational Biology, Public Library of Science, 2019, 15 (4), pp.e1006945. ⟨10.1371/journal.pcbi.1006945⟩. ⟨hal-02343686⟩
  • Mohamed Ali Hammal, Hélène Mathian, Luc Merchez, Marc Plantevit, Céline Robardet. Rank correlated subgroup discovery. Journal of Intelligent Information Systems, Springer Verlag, 2019, ⟨10.1007/s10844-019-00555-y⟩. ⟨hal-02093496⟩
  • Anes Bendimerad, Marc Plantevit, Céline Robardet. Mining exceptional closed patterns in attributed graphs. Knowledge and Information Systems (KAIS), Springer, 2018, 56 (1), pp.1 - 25. ⟨10.1007/s10115-017-1109-2⟩. ⟨hal-01625007⟩
  • Mehdi Kaytoue, Marc Plantevit, Albrecht Zimmermann, Anes Bendimerad, Céline Robardet. Exceptional contextual subgraph mining. Machine Learning, Springer Verlag, 2017, 106 (08), pp.1171--1211. ⟨10.1007/s10994-016-5598-0⟩. ⟨hal-01488732v2⟩
  • Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet. Extraction of Temporal Network Structures from Graph-based Signals. IEEE Transactions on Signal and Information Processing over Networks, IEEE, 2016, 2 (2), pp.215-226. ⟨10.1109/TSIPN.2016.2530562⟩. ⟨hal-01330184⟩
  • Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet. Relabelling vertices according to the network structure by minimizing the cyclic bandwidth sum. Journal of Complex Networks, Oxford University Press, 2016, 4 (4), pp. 534-560. ⟨10.1093/comnet/cnw006⟩. ⟨ensl-01556074⟩
  • Marc Plantevit, Céline Robardet, Vasile-Marian Scuturici. Graph Dependency Construction Based on Interval-based Event Dependencies Detection in Data Streams. Intelligent Data Analysis, IOS Press, 2016, 20(2), pp.223--256. ⟨10.3233/IDA-160803⟩. ⟨hal-01130544⟩
  • Mehdi Kaytoue, Yoann Pitarch, Marc Plantevit, Céline Robardet. What effects topological changes in dynamic graphs?: Elucidating relationships between vertex attributes and the graph structure. Social Network Analysis and Mining, Springer, 2015, 5 (55), pp.55:1--55:17. ⟨10.1007/s13278-015-0294-9⟩. ⟨hal-01221698⟩
  • Marie Vogel, Ronan Hamon, Guillaume Lozenguez, Luc Merchez, Patrice Abry, et al.. From bicycle sharing system movements to users: a typology of Vélo’v cyclists in Lyon based on large-scale behavioural dataset. Journal of Transport Geography, Elsevier, 2014, 41, pp.280-291. ⟨10.1016/j.jtrangeo.2014.07.005⟩. ⟨hal-01313177⟩
  • Adriana Bechara Prado, Marc Plantevit, Céline Robardet, Jean-François Boulicaut. Mining Graph Topological Patterns: Finding Co-variations among Vertex Descriptors. IEEE Transactions on Knowledge and Data Engineering, Institute of Electrical and Electronics Engineers, 2013, 9, 25, pp.2090-2104. ⟨10.1109/TKDE.2012.154⟩. ⟨hal-01351727⟩
  • Dino Ienco, Céline Robardet, Ruggero G. Pensa, Rosa Meo. Parameter-less co-clustering for star-structured heterogeneous data. Data Mining and Knowledge Discovery, Springer, 2013, 26 (2), pp.217-254. ⟨10.1007/s10618-012-0248-z⟩. ⟨hal-00794744⟩
  • Hendrik Blockeel, Toon Calders, Elisa Fromont, Bart Goethals, Adriana Prado, et al.. An Inductive Database System Based on Virtual Mining Views. Data Mining and Knowledge Discovery, Springer, 2012, 24 (1), pp.265-287. ⟨10.1007/s10618-011-0229-7⟩. ⟨hal-00599315v2⟩
  • Sebastian Grauwin, Guillaume Beslon, Eric Fleury, Sara Franceschelli, Céline Robardet, et al.. Complex Systems Science: Dreams of Universality, Reality of Interdisciplinarity. Journal of the American Society for Information Science and Technology, Association for Information Science and Technology (ASIS&T), 2012, 63 (7), pp.10.1002/asi.22644. ⟨10.1002/asi.22644⟩. ⟨hal-00706567⟩
  • Pierre Borgnat, Céline Robardet, Jean-Baptiste Rouquier, Patrice Abry, Eric Fleury, et al.. Shared Bicycles in a City: A Signal Processing and Data Analysis Perspective. Advances in Complex Systems (ACS), World Scientific, 2011, 14 (3), pp.415-438. ⟨10.1142/S0219525911002950⟩. ⟨ensl-00490325v3⟩
  • Pablo Jensen, Jean-Baptiste Rouquier, Nicolas Ovtracht, Céline Robardet. Characterizing the speed and paths of shared bicycles in Lyon. Transportation Research Part D: Transport and Environment, Elsevier, 2010, 15 (8), pp.522-524. ⟨10.1016/j.trd.2010.07.002⟩. ⟨hal-00541307⟩
  • Loïc Cerf, Jeremy Besson, Céline Robardet, Jean-François Boulicaut. Closed patterns meet n-ary relations. ACM Transactions on Knowledge Discovery from Data (TKDD), ACM, 2009, 3 (1). ⟨hal-01499247⟩
  • Eric Fleury, Céline Robardet. Communities detection and the analysis of their dynamics in collaborative networks. International Journal of Web Based Communities, Inderscience, 2009, ⟨10.1504/IJWBC.2009.023965⟩. ⟨inria-00397373⟩
  • Johan Leyritz, Stéphane Schicklin, Sylvain Blachon, Céline Keime, Céline Robardet, et al.. SQUAT: A web tool to mine human, murine and avian SAGE data.. BMC Bioinformatics, BioMed Central, 2008, 9, pp.378. ⟨10.1186/1471-2105-9-378⟩. ⟨hal-00425133⟩
  • Antoine Scherrer, Pierre Borgnat, Eric Fleury, Jean-Loup Guillaume, Céline Robardet. Description and simulation of dynamic mobility networks. Computer Networks, Elsevier, 2008, 52 (15), pp.2842-2858. ⟨10.1016/j.comnet.2008.06.007⟩. ⟨inria-00327254⟩
  • Sylvain Blachon, Ruggero G Pensa, Jérémy Besson, Céline Robardet, Jean-François Boulicaut, et al.. Clustering formal concepts to discover biologically relevant knowledge from gene expression data.. In Silico Biology, IOS Press, 2007, 7 (4-5), pp.467-83. ⟨hal-00294025⟩
  • Jérémy Besson, Céline Robardet, Jean-François Boulicaut. Un algorithme générique d'extraction de bi-ensembles sous contraintes dans des données booléennes. Revue I3 - Information Interaction Intelligence, Cépaduès, 2007, HS 2007, pp.141-160. ⟨hal-01501481⟩
  • Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut. Supporting bi-cluster interpretation in 0/1 data by means of local patterns. Journal of intelligent data analysis, 2006, 10 (5), pp.457-467. ⟨hal-01535517⟩
  • Hédi Soula, Céline Robardet, Fran\c Cois Perrin, Sébastien Gripon, Guillaume Beslon, et al.. Modeling the emergence of multi-protein dynamic structures by principles of self-organization through the use of 3DSpi, a multi-agent-based software. BMC Bioinformatics, BioMed Central, 2005, 6, pp.228. ⟨10.1186/1471-2105-6-228⟩. ⟨hal-00759509⟩
  • Jérémy Besson, Céline Robardet, Jean-François Boulicaut, Sophie Rome. Constraint-based Formal Concept Mining and its Application to Microarray Data Analysis. Intelligent Data Analysis, IOS Press, 2005, 9 (1), pp.59-82. ⟨hal-01535568⟩
  • H. Soula, C. Robardet, F. Perrin, S. Gripon, G. Beslon, et al.. Modeling the mergence of multi-protein dynamic structures by principles of self-organization through the use of 3DSpi, a Multi-Agent-based Software.. BMC Bioinformatics, BioMed Central, 2005, pp.228. ⟨hal-00124089⟩
  • S. Blachon, C. Robardet, Jean-François Boulicaut, O. Gandrillon. Extraction de connaissances dans les données d'expression SAGE humaines.. Informatique pour l'analyse du transcriptome. Hermes Sciences, 2004, pp.traité IC2. ⟨hal-00124102⟩

Conference papers65 documents

  • Timothée Chane-Haï, Samuel Vercraene Vercraene, Céline Robardet, Thibaud Monteiro. Guidage des métaheuristiques par machine-learning, application au transport d'enfants en situation de handicap. 23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, INSA Lyon, Feb 2022, Villeurbanne - Lyon, France. ⟨hal-03595296⟩
  • Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue. Découverte de sous-groupes de prédictions interprétables pour le triage d'incidents. Extraction et Gestion des Connaissances: EGC'2022, Jan 2022, Blois, France. ⟨hal-03627854⟩
  • Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet. What Does My GNN Really Capture? On Exploring Internal GNN Representations. International Joint Conference on Artificial Intelligence 2022, Jul 2022, Vienna, Austria. ⟨hal-03700710⟩
  • Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl de Bie. Gibbs Sampling Subjectively Interesting Tiles. Advances in Intelligent Data Analysis - 18th International Symposium on Intelligent Data Analysis (IDA 2020), Apr 2020, Konstanz (on line), Germany. ⟨10.1007/978-3-030-44584-3_7⟩. ⟨hal-02960847⟩
  • Corentin Lonjarret, Céline Robardet, Marc Plantevit, Roch Auburtin, Martin Atzmueller. Why Should I Trust This Item? Explaining the Recommendations of any Model. IEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2020, Sydney, Australia. ⟨10.1109/DSAA49011.2020.00067⟩. ⟨hal-02965196⟩
  • Mohamed Benabdelkrim, Jean Savinien, Céline Robardet. Finding interest groups from Twitter lists. SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, Mar 2020, Brno Czech Republic, France. pp.1885-1887, ⟨10.1145/3341105.3374077⟩. ⟨hal-03340772⟩
  • Corentin Lonjarret, Marc Plantevit, Céline Robardet, Roch Auburtin. Recommandation séquentielle à base de séquences fréquentes. Extraction et Gestion des Connaissances (EGC), Jan 2019, Metz, France. ⟨hal-02914391⟩
  • Adnene Belfodil, Aimene Belfodil, Anes Bendimerad, Philippe Lamarre, Céline Robardet, et al.. FSSD - A Fast and Efficient Algorithm for Subgroup Set Discovery. IEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2019, Washington DC, United States. ⟨hal-02355503⟩
  • Louis Duvivier, Céline Robardet, Rémy Cazabet. Minimum entropy stochastic block models neglect edge distribution heterogeneity. 8th International Conference on Complex Networks and Their Applications (COMPLEX NETWORKS 2019), Dec 2019, Lisbonne, Portugal. pp.545-555, ⟨10.1007/978-3-030-36687-2_45⟩. ⟨hal-03339803⟩
  • Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl de Bie. Contrastive antichains in hierarchies. SIGKDD 2019, Aug 2019, Anchorage, Alaska, United States. pp.294:304, ⟨10.1145/3292500.3330954⟩. ⟨hal-02114775⟩
  • Anes Bendimerad, Ahmad Mel, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, et al.. Mining Subjectively Interesting Attributed Subgraphs. INTERNATIONAL WORKSHOP ON MINING AND LEARNING WITH GRAPHS, held with SIGKDD 2018, Aug 2018, Londres, United Kingdom. ⟨hal-02060190⟩
  • Maëlle Moranges, Marc Plantevit, Arnaud Fournel, Moustafa Bensafi, Céline Robardet. Exceptional Attributed Subgraph Mining To Understand The Olfactory Percept. 21st International Conference on Discovery Science, Oct 2018, Limassol, Cyprus. pp.276--291. ⟨hal-01878375⟩
  • Quentin Labernia, Victor Codocedo, Céline Robardet, Mehdi Kaytoue. Mining the Lattice of Binary Classifiers for Identifying Duplicate Labels in Behavioral Data. 30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, Jun 2017, Arras, France. pp.40-21, ⟨10.1007/978-3-319-60045-1_2⟩. ⟨hal-01551395⟩
  • Aimene Belfodil, Sergei O Kuznetsov, Céline Robardet, Mehdi Kaytoue. Mining Convex Polygon Patterns with Formal Concept Analysis. The Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI), Aug 2017, Melbourne, Australia. pp.1425 - 1432, ⟨10.24963/ijcai.2017/197⟩. ⟨hal-01573841⟩
  • Anes Bendimerad, Rémy Cazabet, Marc Plantevit, Céline Robardet. Contextual Subgraph Discovery With Mobility Models. COMPLEX NETWORKS 2017, Nov 2017, Lyon, France. pp.477-489. ⟨hal-01625068⟩
  • Guillaume Bosc, Jérôme Golebiowski, Moustafa Bensafi, Céline Robardet, Marc Plantevit, et al.. Local subgroup discovery for eliciting and understanding new structure-odor relationships. Discovery Science: 19th International Conference, DS 2016, Oct 2016, Bari, Italy. pp.19-34, ⟨10.1007/978-3-319-46307-0_2⟩. ⟨hal-01346660⟩
  • Anes Bendimerad, Marc Plantevit, Céline Robardet. Unsupervised Exceptional Attributed Sub-graph Mining in Urban Data. IEEE International Conference on Data Mining (ICDM 2016), Dec 2016, Barcelone, Spain. pp.21-30. ⟨hal-01430622⟩
  • Quentin Labernia, Victor Codocedo, Mehdi Kaytoue, Céline Robardet. Découverte de labels dupliqués par l'exploration du treillis des classifieurs binaires. 16 ème journées Francophones Extraction et Gestion des Connaissances, Jan 2016, Reims, France. pp.255--266. ⟨hal-01265202⟩
  • Aimene Belfodil, Mehdi Kaytoue, Céline Robardet, Marc Plantevit, Julien Zarka. Une méthode de découverte de motifs contextualisés dans les traces de mobilité d'une personne. 16ème Journées Francophones Extraction et Gestion des Connaissances, Jan 2016, Reims, France. pp.63-68. ⟨hal-01265204⟩
  • Albrecht Zimmermann, Mehdi Kaytoue, Marc Plantevit, Céline Robardet, Jean-François Boulicaut. Profiling users of the Vélo 'v bike sharing system. 2nd International Workshop on Mining Urban Data (MUD), Ioannis Katakis, François Schnitzler, Thomas Liebig, Dimitrios Gunopulos, Katharina Morik,Gennady L. Andrienko, Shie Mannor, Jul 2015, Lille, France. pp.63-64. ⟨hal-01193017⟩
  • Houdyer Pierre, Albrecht Zimmermann, Mehdi Kaytoue, Marc Plantevit, Joseph Mitchell, et al.. Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams. European Conference on Machine Learning and Knowledge Discovery in Databases, 2015, Porto, Portugal. pp.276-280, ⟨10.1007/978-3-319-23461-8_29⟩. ⟨hal-01193030⟩
  • Ronan Hamon, Pierre Borgnat, Cédric Févotte, Patrick Flandrin, Céline Robardet. Factorisation de réseaux temporels : étude des rythmes hebdomadaires du système Vélo'v. Colloque GRETSI 2015, Sep 2015, Lyon, France. ⟨hal-01199256⟩
  • Mehdi Kaytoue, Yoann Pitarch, Marc Plantevit, Céline Robardet. Triggering Patterns of Topology Changes in Dynamic Graphs. The 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Aug 2014, Beijing, China, China. pp.55:1--55:17, ⟨10.1109/ASONAM.2014.6921577⟩. ⟨hal-01301075⟩
  • Marc Plantevit, Vasile-Marian Scuturici, Céline Robardet. Temporal Dependency Detection Between Interval-Based Event Sequences. New Frontiers in Mining Complex Patterns - Third International Workshop, NFMCP, Held in Conjunction with ECML-PKDD, Nancy, France, Revised Selected Papers, Sep 2014, Nancy, France. pp.132--146. ⟨hal-01979495⟩
  • Elise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut. Granularity of co-Evolution Patterns in Dynamic Attributed Graphs. The Thirteenth International Symposium on Intelligent Data Analysis IDA 2014, Oct 2014, Leuven, Belgium. pp.84-95. ⟨hal-01301086⟩
  • Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet. Nonnegative matrix factorization to find features in temporal networks. 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2014, Florence, Italy. pp.SPTM-P4.1. ⟨ensl-00989760⟩
  • Elise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut. Trend Mining in Dynamic Attributed Graphs. Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Sep 2013, Prague, Czech Republic. pp.654-669, ⟨10.1007/978-3-642-40988-2_42⟩. ⟨hal-01339225⟩
  • Céline Robardet, Vasile-Marian Scuturici, Marc Plantevit, Antoine Fraboulet. When TEDDY meets GrizzLY: Temporal Dependency Discovery for Triggering Road Deicing Operations (Demo). KDD, Aug 2013, Chicago, IL, United States. pp.1490-1493 ⟨10.1145/2487575.2487706⟩. ⟨hal-01339189⟩
  • Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet. Transformation de graphes dynamiques en signaux non stationnaires. Colloque GRETSI 2013, Sep 2013, Brest, France. pp.251. ⟨ensl-00875085⟩
  • Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet. Networks as Signals, with an Application to Bike Sharing System. GlobalSIP 2013, Dec 2013, Austin, United States. pp.IPN.PB.8. ⟨ensl-00875187⟩
  • Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet. Tracking of a dynamic graph using a signal theory approach : application to the study of a bike sharing system. ECCS'13, Sep 2013, Barcelone, Spain. pp.101. ⟨ensl-00875089⟩
  • Adriana Bechara Prado, Marc Plantevit, Céline Robardet, Jean-François Boulicaut. Extraction de co-variations entre des propriétés de sommets et leur position topologique dans un graphe attribué.. Actes Extraction et Gestion de Connaissances EGC'12, Jan 2012, Bordeaux, France. pp.267-278. ⟨hal-01352957⟩
  • Elise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut. Cohesive Co-Evolution Patterns in Dynamic Attributed Graphs. Discovery Science - 15th International Conference (DS 2012), Oct 2012, Lyon France. pp.110-124, ⟨10.1007/978-3-642-33492-4_11⟩. ⟨hal-01353051⟩
  • Luc Merchez, G. Michau, Céline Robardet, Pablo Jensen, Patrice Abry, et al.. Peut-on attraper les utilisateurs de Vélo'v au Lasso ?. XXIIe Colooque GRETSI. Traitement du Signal et des Images, GRETSI, 2011, Bordeaux, France. ⟨halshs-01314675⟩
  • Boris Cule, Bart Goethals, Céline Robardet. A new constraint for mining sets in sequences. Proc. SIAM Int. Conf. on Data Mining SDM'09, Apr 2009, Sparks, Nevada, United States. pp.317-328, ⟨10.1137/1.9781611972795.28⟩. ⟨hal-01437649⟩
  • Pierre Borgnat, Eric Fleury, Jean-Loup Guillaume, Céline Robardet. Characteristics of the Dynamic of Mobile Networks. 4th International Conference on Bio-Inspired Models of Network, Information, and Computing Systems, Dec 2009, Avignon, France. pp.130-139, ⟨10.1007/978-3-642-12808-0_13⟩. ⟨ensl-00475969⟩
  • Pierre Borgnat, Eric Fleury, Céline Robardet, Antoine Scherrer. Spatial analysis of dynamic movements of Vélo'v, Lyon's shared bicycle program. ECCS'09, Sep 2009, Warwick, United Kingdom. ⟨ensl-00408150⟩
  • Céline Robardet. Constraint-based Pattern Mining in Dynamic Graphs. IEEE International Conference on Data Mining, Dec 2009, Miami, Floride, United States. pp.950-955, ⟨10.1109/ICDM.2009.99⟩. ⟨hal-01437815⟩
  • Elisa Fromont, Adriana Prado, Céline Robardet. Constraint-based Subspace Clustering. SIAM International Conference on Data Mining, Apr 2009, Sparks, Nevada, United States. pp.26-37. ⟨hal-00362829⟩
  • Hendrik Blockeel, Toon Calders, Elisa Fromont, Bart Goethals, Adriana Prado, et al.. An inductive database prototype based on virtual mining views. SIGKDD international conference on Knowledge discovery and data mining, Aug 2008, Las Vegas, United States. pp.1061-1064, ⟨10.1145/1401890.1402019⟩. ⟨hal-00372017⟩
  • Jean-François Boulicaut, Federica Calevro, H. Charles, J.M. Fayard, G. Febvay, et al.. Transcriptomique. Journée INSA de Lyon "BioIngénierie / Sciences et Ingénierie du Vivant", 2008, Villeurbanne (France), juillet 2008, France. pp.1-1. ⟨hal-00391255⟩
  • J.F. Boulicaut, Federica Calevro, Hubert Charles, Jean-Michel Fayard, Gérard Febvay, et al.. Transcriptomique. Journée INSA de Lyon "BioIngénierie / Sciences et Ingénierie du Vivant", 2008, Villeurbanne, juillet 2008, France. ⟨hal-02823302⟩
  • Antoine Scherrer, Pierre Borgnat, Eric Fleury, Jean-Loup Guillaume, Céline Robardet. A Methodology to Identify Characteristics of the Dynamic of Mobile Networks. ACM ASIAN INTERNET ENGINEERING CONFERENCE (AINTEC), Nov 2008, Bangkok, Thailand. ⟨inria-00397374⟩
  • Loïc Cerf, Jérémy Besson, Céline Robardet, Jean-François Boulicaut. Data-Peeler: Constraint-based Closed Pattern Mining in n-ary Relations. SIAM International Conference on Data Mining SDM'08, Apr 2008, Atlanta, United States. pp.37-48. ⟨hal-01500635⟩
  • Eric Fleury, Antoine Scherrer, Pierre Borgnat, Jean-Loup Guillaume, Céline Robardet. Description and simulation of dynamic mobility networks. Dynamics on and of Complex Networks – II, Sep 2008, Jerusalem, Israel. ⟨inria-00397375⟩
  • Jérémy Besson, Céline Robardet. A New Way to Aggregate Preferences: Application to Eurovision Song Contests . IDA'07, Sep 2007, Ljubljana, Slovenia. pp.152-162. ⟨hal-01535505⟩
  • Manel Ben Jdidia, Céline Robardet, Eric Fleury. Communities detection and analysis of their dynamics in collaborative networks. Dynamic Virtual Communities: From Connectivity to Information Society, 2007, Lyon, France. ⟨inria-00398813⟩
  • Eric Fleury, Jean-Loup Guillaume, Céline Robardet, Antoine Scherrer. Loi de puissance et caractérisation des réseaux dynamiques. 9ème Rencontres Francophones sur les Aspects Algorithmiques des Télécommunications, May 2007, Ile d'Oléron, France. pp.17-20. ⟨inria-00176964⟩
  • Eric Fleury, Jean-Loup Guillaume, Céline Robardet, Antoine Scherrer. Analysis of Dynamic Sensor Networks: Power Law Then What?. Second International Conference on COMmunication Systems softWAre and middlewaRE (COMSWARE 2007), 2007, Bangalore, India. ⟨inria-00398809⟩
  • Jérémy Besson, Céline Robardet, Luc de Raedt, Jean-François Boulicaut. Mining bi-sets in numerical data . KIDID@ECMLPKDD, Sep 2006, berlin, Germany. ⟨hal-01535501⟩
  • Ruggero G Pensa, Céline Robardet, Jean-François Boulicaut. Towards constrained co-clustering in ordered 0/1 data sets. ISMIS, Apr 2006, Bari, Italy. pp.424-434. ⟨hal-01535515⟩
  • Jérémy Besson, Céline Robardet, Jean-François Boulicaut. Mining a new fault-tolerant pattern type as an alternative to formal concept discovery . ICCS, Jul 2006, Aalborg, Denmark. ⟨hal-01535528⟩
  • Ruggero G Pensa, Céline Robardet, Jean-François Boulicaut. Co-classification sous contraintes . cAp 2006, May 2006, Trégastel, France. ⟨hal-01535523⟩
  • Jérémy Besson, Céline Robardet, Jean-François Boulicaut. Approximation de concepts formels par des bi-ensembles denses et pertinents. Actes de la conférence francophone d'apprentissage automatique, CAp 2005, Jun 2005, Nice, France. pp.313-328. ⟨hal-01535553⟩
  • Céline Robardet, Ruggero G Pensa, Jean-François Boulicaut. A bi-clustering framework for categorical data. 9th European Conf. on Principles and Practice of Knowledge Discovery in Databases, PKDD'05, Sep 2005, Porto, Portugal. pp.643-650, ⟨10.1007/11564126_68⟩. ⟨hal-01535565⟩
  • Ruggero G Pensa, Jérémy Besson, Céline Robardet, Jean-François Boulicaut. Constraint-based mining of fault-tolerant patterns from Boolean data. KDID@ECMLPKDD, Sep 2005, porto, Portugal. ⟨hal-01535545⟩
  • Jérémy Besson, Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut. Constraint-based Mining of Fault Tolerant Patterns from Boolean Data . KDID@ECMLPKDD, Sep 2005, Berlin, Germany. ⟨hal-01535562⟩
  • Jérémy Besson, Céline Robardet, Jean-François Boulicaut. Mining formal concepts with a bounded number of exceptions from transactional data. 3rd International Workshop on Knowledge Discovery in Inductive Databasesv (KDID'04), Sep 2004, Pise, Italy. pp.33-45, ⟨10.1007/978-3-540-31841-5_3⟩. ⟨hal-01588190⟩
  • Cyrille Masson, Céline Robardet, Jean-François Boulicaut. Optimizing subset queries: a step towards SQL-based inductive databases for itemsets. 2004 ACM Symposium of Applied Computing, SAC'2004, Mar 2004, Nicosia, Cyprus. pp.535-539, ⟨10.1145/967900.968013⟩. ⟨hal-01590027⟩
  • Jérémy Besson, Céline Robardet, Jean-François Boulicaut. Constraint-based mining of formal concepts in transactional data . 8th Pacific-Asia Conference on Knowledge Discovery and Data Mining PaKDD'04, May 2004, sydney, Australia. pp.615-624. ⟨hal-01535575⟩
  • Céline Robardet, Ruggero Pensa, Jérémy Besson, Jean-François Boulicaut. Using classification and visualization on pattern databases for gene expression data analysis. International Workshop on Pattern Representation and Management, PaRMa 2004, Mar 2004, Heraclion, Greece. pp.107-118. ⟨hal-01589984⟩
  • François Rioult, C. Robardet, Sylvain Blachon, Bruno Crémilleux, Olivier Gandrillon, et al.. Mining concepts from large SAGE gene expression matrices. International Workshop on Knowledge Discovery in Inductive Databases (KDID'03) co-located with ECML/PKDD'03, 2003, Catvat-Dubrovnik, Croatia. pp.107-108. ⟨hal-00324820⟩
  • Sylvain Blachon, Céline Robardet, Jean-François Boulicaut, Olivier Gandrillon. Extraction de régularités dans des données d'expression SAGE humaines. Actes Journée Informatique pour l'analyse du transcriptome JPGD'03, Jan 2003, lyon, France. ⟨hal-01535493⟩
  • Olivier Gandrillon, Jean-François Boulicaut, Céline Robardet, Sylvain Blachon, Jérémy Besson, et al.. Recherche de groupes de gènes intéressants dans des données d'expression: apport des ensembles fréquents. Atelier Fouille de données biopuces à EGC 2003, Lyon, 22 janvier 2003, Jan 2003, lyon, France. ⟨hal-01535497⟩
  • C. Robardet, Bruno Crémilleux, J.-F. Boulicaut. Characterization of unsupervised clusters with the simplest association rules: application for child's meningitis. proceedings of the Seventh Int. workshop Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP 02) co-located with ECAI 02, 2002, France. pp.61-66. ⟨hal-00324768⟩

Poster communications6 documents

  • Julien Salotti, Marc Plantevit, Céline Robardet, Jean-François Boulicaut. Supporting the Discovery of Relevant Topological Patterns in Attributed Graphs. Jilles Vreeken, Charles Ling, Mohammed Javeed Zaki, Arno Siebes Jeffrey Xu Yu, Bart Goethals, Geoffrey I. Webb, Xindong Wu. Demo Session of the IEEE International Conference on Data Mining (IEEE ICDM 12), Dec 2012, Brussels, Belgium. IEEE Computer Society, pp.898-901, 2012, ⟨10.1109/ICDMW.2012.38⟩. ⟨hal-01353106⟩
  • Loïc Cerf, Jérémy Besson, Céline Robardet, Jean-François Boulicaut. Constrained-Based Closed Pattern Mining in n-ary Relations. SML - Spring Workshop on Mining and Learning 2008, May 2008, Traben-Trarbach, Germany. pp.1-1, 2008. ⟨hal-01501377⟩
  • Loïc Cerf, Jérémy Besson, Céline Robardet, Jean-François Boulicaut. Extraction d'hyper-rectangles fermés sous contraintes. Atelier Bases de Données Inductives BDI'07 organisé dans le cadre de la plate-forme AFIA 2007, Jul 2007, Grenoble, France. pp.1-2, 2007. ⟨hal-01590451⟩
  • Johan Leyritz, Céline Keime, Sylvain Blachon, Céline Robardet, Jean-François Boulicaut, et al.. SQUAT: a web tool to mine SAGE data.. Journées Ouvertes Biologie Informatique Mathématiques, JOBIM'07, Jul 2007, Marseille, France. 2007. ⟨hal-01590433⟩
  • Sylvain Blachon, Ruggero Pensa, Jérémy Besson, Céline Robardet, Jean-François Boulicaut, et al.. Using formal concepts for biological knowledge discovery from human SAGE data. Journées Ouvertes Biologie Informatique Mathématiques JOBIM'05, Jul 2005, Lyon, France, France. pp.1-2, 2005. ⟨hal-01534988⟩
  • Jérémy Besson, Céline Robardet, E. Meugnier, Sophie Rome, Jean-François Boulicaut. Extraction of relevant transcription modules using pattern discovery. Integrative Post-Genomics, IPG'04, Oct 2004, Lyon, France. 2004. ⟨hal-01614796⟩

Book sections12 documents

  • Louis Duvivier, Rémy Cazabet, Céline Robardet. Edge based stochastic block model statistical inference. International Conference on Complex Networks and Their Applications, pp.462-473, 2021, ⟨10.1007/978-3-030-65351-4_37⟩. ⟨hal-03340026⟩
  • Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet. Transformation from Graphs to Signals and Back. Vertex-Frequency Analysis of Graph Signals, pp.111-139, 2019. ⟨hal-01949745⟩
  • Jean-François Boulicaut, Marc Plantevit, Céline Robardet. Local Pattern Detection in Attributed Graphs. Solving Large Scale Learning Tasks. Challenges and Algorithms - Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday, pp.168-183, 2016, ⟨10.1007/978-3-319-41706-6_8⟩. ⟨hal-02016506⟩
  • Pierre Borgnat, Céline Robardet, Patrice Abry, Patrick Flandrin, Jean-Baptiste Rouquier, et al.. A Dynamical Network View of Lyon's Vélo'v Shared Bicycle System. A. Mukherjee, M. Choudhury, F. Peruani, N. Ganguly, B. Mitra Dynamics On and Of Complex Networks, Volume 2: Applications to Time-Varying Dynamical Systems , springer, pp.267-284, 2013. ⟨hal-01339131⟩
  • Céline Robardet. Data Mining Techniques for Communities' Detection in Dynamic Social Networks. Ben Kei Daniel. Handbook of Research on Methods and Techniques for Studying Virtual Communities: Paradigms and Phenomena, IGI Global, pp.88-102, 2011, ⟨10.4018/978-1-60960-040-2.ch005⟩. ⟨hal-01354398⟩
  • Hendrik Blockeel, Toon Calders, Elisa Fromont, Bart Goethals, Adriana Prado, et al.. A Practical Comparative Study Of Data Mining Query Languages. Džeroski, Sašo; Goethals, Bart; Panov, Panče (Eds.). Inductive Databases and Constraint-Based Data Mining, Springer, pp.59-78, 2010. ⟨hal-00531167⟩
  • Hendrik Blockeel, Toon Calders, Elisa Fromont, Bart Goethals, Adriana Prado, et al.. Inductive Querying with Virtual Mining Views. Džeroski, Sašo; Goethals, Bart; Panov, Panče (Eds.). Inductive Databases and Constraint-Based Data Mining, Springer, pp.265-288, 2010. ⟨hal-00531170⟩
  • Ruggero Pensa, Céline Robardet, Jean-François Boulicaut. Constraint-driven Co-Clustering of 0/1 Data. S. Basu et al. Constrained Clustering: Advances in Algorithms, Chapman & Hall/CRC Press, pp.123-148, 2008. ⟨hal-01501910⟩
  • Pierre Borgnat, Eric Fleury, Jean-Loup Guillaume, Clémence Magnien, Céline Robardet, et al.. Evolving networks. Mining Massive Data Sets for Security, 19, IOS Press, pp.198-203, 2008, 978-1-58603-898-4. ⟨10.3233/978-1-58603-898-4-198⟩. ⟨hal-01301647⟩
  • Céline Robardet, Ruggero Gaetano Pensa, Jérémy Besson, Jean-François Boulicaut. Contribution to gene expression data analysis by means of set pattern mining. Constraint-based mining and Inductive Databases, 2006, Constraint-based mining and Inductive Databases. ⟨hal-01535548⟩
  • Céline Robardet, Claire Nédellec, Jean-François Boulicaut. Fouille de données pour l'analyse du transcriptome. Informatique pour l'analyse du transcriptome, Lavoisier Editions, 2004, 978-2-212-12471-2. ⟨hal-02833752⟩
  • Céline Robardet, Claire Nédellec, Jean-François Boulicaut. Fouille de données et analyse du transcriptome. Jean-François Boulicaut, Olivier Gandrillon. Informatique pour l'analyse du transcriptome, Lavoisier, pp.101-141, 2004, Traité IC2, série Informatique et Systèmes d'Information, 978-2-212-12471-2. ⟨hal-01590031⟩

Directions of work or proceedings5 documents

  • Céline Robardet, Anna Monreale, Livio Bioglio, Carlos Alzate, Valerio Bitetta, et al.. ECML PKDD 2018 Workshops - MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018, Proceedings. 2019. ⟨hal-02016451⟩
  • Céline Robardet. Special Issue of the ECMLPKDD 2016 Journal Track. Thomas Gartner; Mirco Nanni; Andrea Passerini; Céline Robardet. 104 (2-3), 2016, Special Issue of the ECMLPKDD 2016 Journal Track. ⟨hal-02016362⟩
  • Thomas Gärtner, Mirco Nanni, Andrea Passerini, Céline Robardet. ECML PKDD 2016 Journal Track Special Issue of Machine Learning. Machine Learning, 104 (2-3), springer, 2016. ⟨hal-02158003⟩
  • Thomas Gärtner, Mirco Nanni, Andrea Passerini, Céline Robardet. ECML PKDD 2016 Journal Track Special Issue. Data Mining and Knowledge Discovery, 30 (5), springer, 2016, Data Mining and Knowledge Discovery. ⟨hal-02016354⟩
  • Niall Adams, Céline Robardet, Arno Siebes, Jean-François Boulicaut. Advances in Intelligent Data Analysis VIII. 8th International Symposium on Intelligent Data Analysis IDA'09, Lyon, France, Springer, pp.430, 2009. ⟨hal-01437754⟩

Preprints, Working Papers, ...2 documents

  • Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet. On GNN explanability with activation patterns. 2021. ⟨hal-03367714⟩
  • Céline Robardet. Constraint-based pattern mining approaches for the analysis of relational attributed dynamic graphs. 2013. ⟨hal-01478974⟩

Reports2 documents

  • Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet. Discovering the structure of complex networks: Implementation and Complexity of the heuristic MACH. [Technical Report] Laboratoire de Physique, CNRS 5672; LIRIS UMR CNRS 5205. 2015. ⟨ensl-01160737⟩
  • Ronan Hamon, Céline Robardet, Pierre Borgnat, Patrick Flandrin. Relabeling nodes according to the structure of the graph. 2013. ⟨ensl-00878041⟩