Céline Robardet

137

Documents

Publications

	Methods for explaining Top-N recommendations through subgroup discovery Mouloud Iferroudjene , Corentin Lonjarret , Céline Robardet , Marc Plantevit , Martin Atzmueller Data Mining and Knowledge Discovery, 2023, 37 (2), pp.833-872. ⟨10.1007/s10618-022-00897-2⟩ Journal articles hal-03845678v1
	Graph model selection by edge probability prequential inference Louis Duvivier , Rémy Cazabet , Céline Robardet Journal of Complex Networks, 2023, 11 (3), ⟨10.1093/comnet/cnad011⟩ Journal articles hal-04355823v1
	Electricity price forecasting on the day-ahead market using machine learning Léonard Tschora , Erwan Pierre , Marc Plantevit , Céline Robardet Applied Energy, 2022, 313, pp.118752. ⟨10.1016/j.apenergy.2022.118752⟩ Journal articles hal-03621974v1
	Graph space: using both geometric and probabilistic structure to evaluate statistical graph models! Louis Duvivier , Rémy Cazabet , Céline Robardet Journal of Complex Networks, 2022, 10 (2), ⟨10.1093/comnet/cnac006⟩ Journal articles hal-03879395v1
	In pursuit of the hidden features of GNN’s internal representations Luca Veyrin-Forrer , Ataollah Kamal , Stefan Duffner , Marc Plantevit , Céline Robardet Data and Knowledge Engineering, 2022, 142, pp.102097. ⟨10.1016/j.datak.2022.102097⟩ Journal articles hal-03898323v1
	Towards a better identification of Bitcoin actors by supervised learning Rafael Ramos Tubino , Céline Robardet , Rémy Cazabet Data and Knowledge Engineering, 2022, 142, pp.102094. ⟨10.1016/j.datak.2022.102094⟩ Journal articles hal-03879416v1
	On GNN explanability with activation rules Luca Veyrin-Forrer , Ataollah Kamal , Stefan Duffner , Marc Plantevit , Céline Robardet Data Mining and Knowledge Discovery, 2022, ⟨10.1007/s10618-022-00870-z⟩ Journal articles hal-03821784v1
	User-driven geolocated event detection in social media Anes Bendimerad , Marc Plantevit , Céline Robardet , Sihem Amer-Yahia IEEE Transactions on Knowledge and Data Engineering, 2021, 33 (2), pp.796-809. ⟨10.1109/TKDE.2019.2931340⟩ Journal articles hal-02272082v1
	Sequential recommendation with metric models based on frequent sequences Corentin Lonjarret , Roch Auburtin , Céline Robardet , Marc Plantevit Data Mining and Knowledge Discovery, 2021, ⟨10.1007/s10618-021-00744-w⟩ Journal articles hal-03191177v1
	SIAS-miner: mining subjectively interesting attributed subgraphs Anes Bendimerad , Ahmad Mel , Jefrey Lijffijt , Marc Plantevit , Céline Robardet Data Mining and Knowledge Discovery, inPress, 34 (2), pp.355-393. ⟨10.1007/s10618-019-00664-w⟩ Journal articles hal-02378174v1
	Opening Fields : A Methodological Contribution to the Identification of Heterogeneous Actors in Unbounded Relational Orders Mohamed Benabdelkrim , Clément Levallois , Jean Savinien , Céline Robardet M@n@gement, 2020, 23 (1), 4-18 p. ⟨10.37725/mgmt.v23.4245⟩ Journal articles hal-02529429v1
	Rank correlated subgroup discovery Mohamed Ali Hammal , Hélène Mathian , Luc Merchez , Marc Plantevit , Céline Robardet Journal of Intelligent Information Systems, 2019, ⟨10.1007/s10844-019-00555-y⟩ Journal articles hal-02093496v1
	Chemical features mining provides new descriptive structure-odor relationships Carmen Licón , Guillaume Bosc , Mohammed Sabri , Marylou Mantel , Arnaud Fournel PLoS Computational Biology, 2019, 15 (4), pp.e1006945. ⟨10.1371/journal.pcbi.1006945⟩ Journal articles hal-02343686v1
	Mining exceptional closed patterns in attributed graphs Anes Bendimerad , Marc Plantevit , Céline Robardet Knowledge and Information Systems (KAIS), 2018, 56 (1), pp.1 - 25. ⟨10.1007/s10115-017-1109-2⟩ Journal articles hal-01625007v1
	Exceptional contextual subgraph mining Mehdi Kaytoue , Marc Plantevit , Albrecht Zimmermann , Anes Bendimerad , Céline Robardet Machine Learning, 2017, 106 (08), pp.1171--1211. ⟨10.1007/s10994-016-5598-0⟩ Journal articles hal-01488732v2
	Extraction of Temporal Network Structures from Graph-based Signals Ronan Hamon , Pierre Borgnat , Patrick Flandrin , Céline Robardet IEEE Transactions on Signal and Information Processing over Networks, 2016, 2 (2), pp.215-226. ⟨10.1109/TSIPN.2016.2530562⟩ Journal articles hal-01330184v1
	Graph Dependency Construction Based on Interval-based Event Dependencies Detection in Data Streams Marc Plantevit , Céline Robardet , Vasile-Marian Scuturici Intelligent Data Analysis, 2016, 20(2), pp.223--256. ⟨10.3233/IDA-160803⟩ Journal articles hal-01130544v1
	Relabelling vertices according to the network structure by minimizing the cyclic bandwidth sum Ronan Hamon , Pierre Borgnat , Patrick Flandrin , Céline Robardet Journal of Complex Networks, 2016, 4 (4), pp. 534-560. ⟨10.1093/comnet/cnw006⟩ Journal articles ensl-01556074v1
	What effects topological changes in dynamic graphs? Mehdi Kaytoue , Yoann Pitarch , Marc Plantevit , Céline Robardet Social Network Analysis and Mining, 2015, 5 (55), pp.55:1--55:17. ⟨10.1007/s13278-015-0294-9⟩ Journal articles hal-01221698v1
	From bicycle sharing system movements to users: a typology of Vélo’v cyclists in Lyon based on large-scale behavioural dataset Marie Vogel , Ronan Hamon , Guillaume Lozenguez , Luc Merchez , Patrice Abry Journal of Transport Geography, 2014, 41, pp.280-291. ⟨10.1016/j.jtrangeo.2014.07.005⟩ Journal articles hal-01313177v1
	Parameter-less co-clustering for star-structured heterogeneous data Dino Ienco , Céline Robardet , Ruggero G. Pensa , Rosa Meo Data Mining and Knowledge Discovery, 2013, 26 (2), pp.217-254. ⟨10.1007/s10618-012-0248-z⟩ Journal articles hal-00794744v1
	Mining Graph Topological Patterns: Finding Co-variations among Vertex Descriptors Adriana Bechara Prado , Marc Plantevit , Céline Robardet , Jean-François Boulicaut IEEE Transactions on Knowledge and Data Engineering, 2013, 9, 25, pp.2090-2104. ⟨10.1109/TKDE.2012.154⟩ Journal articles hal-01351727v1
	Complex Systems Science: Dreams of Universality, Reality of Interdisciplinarity Sebastian Grauwin , Guillaume Beslon , Eric Fleury , Sara Franceschelli , Céline Robardet Journal of the American Society for Information Science and Technology, 2012, 63 (7), pp.10.1002/asi.22644. ⟨10.1002/asi.22644⟩ Journal articles hal-00706567v1
	An Inductive Database System Based on Virtual Mining Views Hendrik Blockeel , Toon Calders , Elisa Fromont , Bart Goethals , Adriana Prado Data Mining and Knowledge Discovery, 2012, 24 (1), pp.265-287. ⟨10.1007/s10618-011-0229-7⟩ Journal articles hal-00599315v2
	Shared Bicycles in a City: A Signal Processing and Data Analysis Perspective Pierre Borgnat , Céline Robardet , Jean-Baptiste Rouquier , Patrice Abry , Eric Fleury Advances in Complex Systems (ACS), 2011, 14 (3), pp.415-438. ⟨10.1142/S0219525911002950⟩ Journal articles ensl-00490325v3
	Characterizing the speed and paths of shared bicycles in Lyon Pablo Jensen , Jean-Baptiste Rouquier , Nicolas Ovtracht , Céline Robardet Transportation Research Part D: Transport and Environment, 2010, 15 (8), pp.522-524. ⟨10.1016/j.trd.2010.07.002⟩ Journal articles hal-00541307v1
	Communities detection and the analysis of their dynamics in collaborative networks Eric Fleury , Céline Robardet International Journal of Web Based Communities, 2009, ⟨10.1504/IJWBC.2009.023965⟩ Journal articles inria-00397373v1
	Closed patterns meet n-ary relations Loïc Cerf , Jeremy Besson , Céline Robardet , Jean-François Boulicaut ACM Transactions on Knowledge Discovery from Data (TKDD), 2009, 3 (1) Journal articles hal-01499247v1
	SQUAT: A web tool to mine human, murine and avian SAGE data. Johan Leyritz , Stéphane Schicklin , Sylvain Blachon , Céline Keime , Céline Robardet BMC Bioinformatics, 2008, 9, pp.378. ⟨10.1186/1471-2105-9-378⟩ Journal articles hal-00425133v1
	Description and simulation of dynamic mobility networks Antoine Scherrer , Pierre Borgnat , Eric Fleury , Jean-Loup Guillaume , Céline Robardet Computer Networks, 2008, 52 (15), pp.2842-2858. ⟨10.1016/j.comnet.2008.06.007⟩ Journal articles inria-00327254v1
	Un algorithme générique d'extraction de bi-ensembles sous contraintes dans des données booléennes Jérémy Besson , Céline Robardet , Jean-François Boulicaut Revue I3 - Information Interaction Intelligence, 2007, HS 2007, pp.141-160 Journal articles hal-01501481v1
	Clustering formal concepts to discover biologically relevant knowledge from gene expression data. Sylvain Blachon , Ruggero G Pensa , Jérémy Besson , Céline Robardet , Jean-François Boulicaut In Silico Biology, 2007, 7 (4-5), pp.467-83 Journal articles hal-00294025v1
	Supporting bi-cluster interpretation in 0/1 data by means of local patterns Ruggero G. Pensa , Céline Robardet , Jean-François Boulicaut Journal of intelligent data analysis, 2006, 10 (5), pp.457-467 Journal articles hal-01535517v1
	Modeling the emergence of multi-protein dynamic structures by principles of self-organization through the use of 3DSpi, a multi-agent-based software Hédi Soula , Céline Robardet , Fran\c Cois Perrin , Sébastien Gripon , Guillaume Beslon BMC Bioinformatics, 2005, 6, pp.228. ⟨10.1186/1471-2105-6-228⟩ Journal articles hal-00759509v1
	Modeling the mergence of multi-protein dynamic structures by principles of self-organization through the use of 3DSpi, a Multi-Agent-based Software. H. Soula , C. Robardet , F. Perrin , S. Gripon , G. Beslon BMC Bioinformatics, 2005, 6, pp.228 Journal articles hal-00124089v1
	Constraint-based Formal Concept Mining and its Application to Microarray Data Analysis Jérémy Besson , Céline Robardet , Jean-François Boulicaut , Sophie Rome Intelligent Data Analysis, 2005, 9 (1), pp.59-82 Journal articles hal-01535568v1
	Extraction de connaissances dans les données d'expression SAGE humaines. S. Blachon , C. Robardet , Jean-François Boulicaut , O. Gandrillon Informatique pour l'analyse du transcriptome. Hermes Sciences, 2004, pp.traité IC2 Journal articles hal-00124102v1

	Forecasting Electricity Prices: An Optimize Then Predict-Based Approach Léonard Tschora , Erwan Pierre , Marc Plantevit , Céline Robardet Intelligent Data Analysis 2023, Apr 2023, Louvain-la_Neuve, Belgium. pp.446-458, ⟨10.1007/978-3-031-30047-9_35⟩ Conference papers hal-04114222v1
	Improving the non-urgent sanitary transportation Timothée Chane-Haï , Samuel Vercraene Vercraene , Céline Robardet , Thibaud Monteiro 7th International Conference on Control, Automation and Diagnosis (ICCAD 2023), May 2023, Rome, Italy. ⟨10.1109/ICCAD57653.2023.10152350⟩ Conference papers hal-04423051v1
	Temporal and Geographical Analysis of Real Economic Activities in the Bitcoin Blockchain Rafael Ramos Tubino , Rémy Cazabet , Natkamon Tovanich , Céline Robardet LIMBO@ECML/PKDD 2023: International workshop on LearnIng and Mining for BlOckchains, Sep 2023, Turin, Italy Conference papers hal-04188062v1
	Découverte de sous-groupes de prédictions interprétables pour le triage d'incidents Youcef Remil , Anes Bendimerad , Marc Plantevit , Céline Robardet , Mehdi Kaytoue Extraction et Gestion des Connaissances (EGC'2022), Jan 2022, Blois, France Conference papers hal-03627854v1
	What Does My GNN Really Capture? On Exploring Internal GNN Representations Luca Veyrin-Forrer , Ataollah Kamal , Stefan Duffner , Marc Plantevit , Céline Robardet International Joint Conference on Artificial Intelligence 2022, Jul 2022, Vienna, Austria Conference papers hal-03700710v1
	Vers une meilleure identification d'acteurs de Bitcoin par apprentissage supervisé Rafael Ramos Tubino , Rémy Cazabet , Céline Robardet Conférence francophone sur l'Extraction et la Gestion des Connaissances (EGC 2022), Jan 2022, Blois, France. pp.171-182 Conference papers hal-04193274v1
	WAIT4: un projet collaboratif sur l'évaluation en dynamique du bien-être des animaux d'élevage - de la captation de la donnée à la découverte de motifs signifiants et de seuils d'alertes spécifiques Florence Gondret , Masoomeh Taghipoor , Aurélien Madouasse , Alexandre Termier , Claire Verplanck Annual meeting - Metaprogram DIGIT-BIO Biologie numérique pour explorer et prédire le vivant, INRAE, Dec 2022, Ecully, France Conference papers hal-04337044v1
	Qu'est-ce que mon GNN capture vraiment ? Exploration des représentations internes d'un GNN Luca Veyrin-Forrer , Ataollah Kamal , Stefan Duffner , Marc Plantevit , Céline Robardet Extraction et Gestion des Connaissances (EGC 2022), Jan 2022, Blois, France. pp.159-170 Conference papers hal-03921033v1
	Improving the Quality of Rule-Based GNN Explanations Ataollah Kamal , Elouan Vincent , Marc Plantevit , Céline Robardet Workshop on eXplainable Knowledge Discovery in Data Mining. Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I, Sep 2022, Grenoble, France. pp.467--482, ⟨10.1007/978-3-031-23618-1\_31⟩ Conference papers hal-04580342v1
	Guidage des métaheuristiques par machine-learning, application au transport d'enfants en situation de handicap Timothée Chane-Haï , Samuel Vercraene , Céline Robardet , Thibaud Monteiro 23ème Congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2022), INSA Lyon, Feb 2022, Villeurbanne - Lyon, France Conference papers hal-03595296v1
	Leveraging semantic for community mining in multilayer networks Mohamed Benabdelkrim , Céline Robardet , Jean Savinien Canadian AI, May 2021, Vancouver, Canada Conference papers hal-03340780v1
	Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery Youcef Remil , Anes Bendimerad , Marc Plantevit , Céline Robardet , Mehdi Kaytoue 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2021), Oct 2021, Porto, Portugal. ⟨10.1109/DSAA53316.2021.9564164⟩ Conference papers hal-03318094v2
	Knowledge-guided search applied to the transportation of disabled people Timothée Chane-Haï , Samuel Vercraene , Céline Robardet , Thibaud Monteiro Smart Healthcare International Conference - SHeIC 2021, Dec 2021, Troyes (France), France Conference papers hal-04398625v1
	Gibbs Sampling Subjectively Interesting Tiles Anes Bendimerad , Jefrey Lijffijt , Marc Plantevit , Céline Robardet , Tijl de Bie Advances in Intelligent Data Analysis {XVIII} - 18th International Symposium on Intelligent Data Analysis (IDA 2020), Apr 2020, Konstanz (on line), Germany. ⟨10.1007/978-3-030-44584-3_7⟩ Conference papers hal-02960847v1
	Finding interest groups from Twitter lists Mohamed Benabdelkrim , Jean Savinien , Céline Robardet SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, Mar 2020, Brno Czech Republic, France. pp.1885-1887, ⟨10.1145/3341105.3374077⟩ Conference papers hal-03340772v1
	Edge based stochastic block model statistical inference Louis Duvivier , Rémy Cazabet , Céline Robardet COMPLEX NETWORKS, Dec 2020, Madrid, Spain. pp.462-473, ⟨10.1007/978-3-030-65351-4_37⟩ Conference papers hal-03340026v1
	Why Should I Trust This Item? Explaining the Recommendations of any Model Corentin Lonjarret , Céline Robardet , Marc Plantevit , Roch Auburtin , Martin Atzmueller IEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2020, Sydney, Australia. ⟨10.1109/DSAA49011.2020.00067⟩ Conference papers hal-02965196v1
	Sampling Rank Correlated Subgroups Mohamed-Ali Hammal , Bernardo Abreu , Marc Plantevit , Céline Robardet Distributed Computing and Artificial Intelligence, 16th International Conference, Jun 2019, Avila, Espagne, Spain. pp.217-225, ⟨10.1007/978-3-030-23887-2_25⟩ Conference papers hal-04076705v1
	Contrastive antichains in hierarchies Anes Bendimerad , Jefrey Lijffijt , Marc Plantevit , Céline Robardet , Tijl de Bie SIGKDD 2019, Aug 2019, Anchorage, Alaska, United States. pp.294:304, ⟨10.1145/3292500.3330954⟩ Conference papers hal-02114775v1
	Minimum entropy stochastic block models neglect edge distribution heterogeneity Louis Duvivier , Céline Robardet , Rémy Cazabet 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⟩ Conference papers hal-03339803v1
	FSSD - A Fast and Efficient Algorithm for Subgroup Set Discovery Adnene Belfodil , Aimene Belfodil , Anes Bendimerad , Philippe Lamarre , Céline Robardet IEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2019, Washington DC, United States. ⟨10.1109/DSAA.2019.00023⟩ Conference papers hal-02355503v1
	Recommandation séquentielle à base de séquences fréquentes Corentin Lonjarret , Marc Plantevit , Céline Robardet , Roch Auburtin Extraction et Gestion des Connaissances (EGC), Jan 2019, Metz, France Conference papers hal-02914391v1
	Exceptional Attributed Subgraph Mining To Understand The Olfactory Percept Maëlle Moranges , Marc Plantevit , Arnaud Fournel , Moustafa Bensafi , Céline Robardet 21st International Conference on Discovery Science, Oct 2018, Limassol, Cyprus. pp.276--291 Conference papers hal-01878375v1
	Mining Subjectively Interesting Attributed Subgraphs Anes Bendimerad , Ahmad Mel , Jefrey Lijffijt , Marc Plantevit , Céline Robardet INTERNATIONAL WORKSHOP ON MINING AND LEARNING WITH GRAPHS, held with SIGKDD 2018, Aug 2018, Londres, United Kingdom Conference papers hal-02060190v1
	Contextual Subgraph Discovery With Mobility Models Anes Bendimerad , Rémy Cazabet , Marc Plantevit , Céline Robardet COMPLEX NETWORKS 2017, Nov 2017, Lyon, France. pp.477-489 Conference papers hal-01625068v1
	Mining Convex Polygon Patterns with Formal Concept Analysis Aimene Belfodil , Sergei O Kuznetsov , Céline Robardet , Mehdi Kaytoue The Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI), Aug 2017, Melbourne, Australia. pp.1425 - 1432, ⟨10.24963/ijcai.2017/197⟩ Conference papers hal-01573841v1
	Mining the Lattice of Binary Classifiers for Identifying Duplicate Labels in Behavioral Data Quentin Labernia , Victor Codocedo , Céline Robardet , Mehdi Kaytoue 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⟩ Conference papers hal-01551395v1
	Local subgroup discovery for eliciting and understanding new structure-odor relationships Guillaume Bosc , Jérôme Golebiowski , Moustafa Bensafi , Céline Robardet , Marc Plantevit Discovery Science: 19th International Conference, DS 2016, Oct 2016, Bari, Italy. pp.19-34, ⟨10.1007/978-3-319-46307-0_2⟩ Conference papers hal-01346660v1
	Découverte de labels dupliqués par l'exploration du treillis des classifieurs binaires Quentin Labernia , Victor Codocedo , Mehdi Kaytoue , Céline Robardet 16 ème journées Francophones Extraction et Gestion des Connaissances, Jan 2016, Reims, France. pp.255--266 Conference papers hal-01265202v1
	Une méthode de découverte de motifs contextualisés dans les traces de mobilité d'une personne Aimene Belfodil , Mehdi Kaytoue , Céline Robardet , Marc Plantevit , Julien Zarka 16ème Journées Francophones Extraction et Gestion des Connaissances, Jan 2016, Reims, France. pp.63-68 Conference papers hal-01265204v1
	Unsupervised Exceptional Attributed Sub-graph Mining in Urban Data Anes Bendimerad , Marc Plantevit , Céline Robardet IEEE International Conference on Data Mining (ICDM 2016), Dec 2016, Barcelone, Spain. pp.21-30 Conference papers hal-01430622v1
	Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams Houdyer Pierre , Albrecht Zimmermann , Mehdi Kaytoue , Marc Plantevit , Joseph Mitchell European Conference on Machine Learning and Knowledge Discovery in Databases, 2015, Porto, Portugal. pp.276-280, ⟨10.1007/978-3-319-23461-8_29⟩ Conference papers hal-01193030v1
	Factorisation de réseaux temporels : étude des rythmes hebdomadaires du système Vélo'v Ronan Hamon , Pierre Borgnat , Cédric Févotte , Patrick Flandrin , Céline Robardet Colloque GRETSI 2015, Sep 2015, Lyon, France Conference papers hal-01199256v1
	Profiling users of the Vélo 'v bike sharing system Albrecht Zimmermann , Mehdi Kaytoue , Marc Plantevit , Céline Robardet , Jean-François Boulicaut 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 Conference papers hal-01193017v1
	Granularity of co-Evolution Patterns in Dynamic Attributed Graphs Elise Desmier , Marc Plantevit , Céline Robardet , Jean-François Boulicaut The Thirteenth International Symposium on Intelligent Data Analysis IDA 2014, Oct 2014, Leuven, Belgium. pp.84-95 Conference papers hal-01301086v1
	Nonnegative matrix factorization to find features in temporal networks Ronan Hamon , Pierre Borgnat , Patrick Flandrin , Céline Robardet 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2014, Florence, Italy. pp.SPTM-P4.1 Conference papers ensl-00989760v1
	Triggering Patterns of Topology Changes in Dynamic Graphs Mehdi Kaytoue , Yoann Pitarch , Marc Plantevit , Céline Robardet 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⟩ Conference papers hal-01301075v1
	Temporal Dependency Detection Between Interval-Based Event Sequences Marc Plantevit , Vasile-Marian Scuturici , Céline Robardet 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 Conference papers hal-01979495v1
	When TEDDY meets GrizzLY: Temporal Dependency Discovery for Triggering Road Deicing Operations (Demo) Céline Robardet , Vasile-Marian Scuturici , Marc Plantevit , Antoine Fraboulet KDD, Aug 2013, Chicago, IL, United States. pp.1490-1493 ⟨10.1145/2487575.2487706⟩ Conference papers hal-01339189v1
	Transformation de graphes dynamiques en signaux non stationnaires Ronan Hamon , Pierre Borgnat , Patrick Flandrin , Céline Robardet Colloque GRETSI 2013, Sep 2013, Brest, France. pp.251 Conference papers ensl-00875085v1
	Networks as Signals, with an Application to Bike Sharing System Ronan Hamon , Pierre Borgnat , Patrick Flandrin , Céline Robardet GlobalSIP 2013, Dec 2013, Austin, United States. pp.IPN.PB.8 Conference papers ensl-00875187v1
	Tracking of a dynamic graph using a signal theory approach : application to the study of a bike sharing system Ronan Hamon , Pierre Borgnat , Patrick Flandrin , Céline Robardet ECCS'13, Sep 2013, Barcelone, Spain. pp.101 Conference papers ensl-00875089v1
	Trend Mining in Dynamic Attributed Graphs Elise Desmier , Marc Plantevit , Céline Robardet , Jean-François Boulicaut 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⟩ Conference papers hal-01339225v1
	Cohesive Co-Evolution Patterns in Dynamic Attributed Graphs Elise Desmier , Marc Plantevit , Céline Robardet , Jean-François Boulicaut Discovery Science - 15th International Conference (DS 2012), Oct 2012, Lyon France. pp.110-124, ⟨10.1007/978-3-642-33492-4_11⟩ Conference papers hal-01353051v1
	Extraction de co-variations entre des propriétés de sommets et leur position topologique dans un graphe attribué. Adriana Bechara Prado , Marc Plantevit , Céline Robardet , Jean-François Boulicaut Actes Extraction et Gestion de Connaissances EGC'12, Jan 2012, Bordeaux, France. pp.267-278 Conference papers hal-01352957v1
	Peut-on attraper les utilisateurs de Vélo'v au Lasso ? Luc Merchez , G. Michau , Céline Robardet , Pablo Jensen , Patrice Abry XXIIe Colooque GRETSI. Traitement du Signal et des Images, GRETSI, 2011, Bordeaux, France Conference papers halshs-01314675v1
	A new constraint for mining sets in sequences Boris Cule , Bart Goethals , Céline Robardet Proc. SIAM Int. Conf. on Data Mining SDM'09, Apr 2009, Sparks, Nevada, United States. pp.317-328, ⟨10.1137/1.9781611972795.28⟩ Conference papers hal-01437649v1
	Constraint-based Subspace Clustering Elisa Fromont , Adriana Prado , Céline Robardet SIAM International Conference on Data Mining, Apr 2009, Sparks, Nevada, United States. pp.26-37 Conference papers hal-00362829v1
	Constraint-based Pattern Mining in Dynamic Graphs Céline Robardet IEEE International Conference on Data Mining, Dec 2009, Miami, Floride, United States. pp.950-955, ⟨10.1109/ICDM.2009.99⟩ Conference papers hal-01437815v1
	Spatial analysis of dynamic movements of Vélo'v, Lyon's shared bicycle program Pierre Borgnat , Eric Fleury , Céline Robardet , Antoine Scherrer ECCS'09, Sep 2009, Warwick, United Kingdom Conference papers ensl-00408150v1
	Characteristics of the Dynamic of Mobile Networks Pierre Borgnat , Eric Fleury , Jean-Loup Guillaume , Céline Robardet 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⟩ Conference papers ensl-00475969v1
	Data-Peeler: Constraint-based Closed Pattern Mining in n-ary Relations Loïc Cerf , Jérémy Besson , Céline Robardet , Jean-François Boulicaut SIAM International Conference on Data Mining SDM'08, Apr 2008, Atlanta, United States. pp.37-48 Conference papers hal-01500635v1
	Description and simulation of dynamic mobility networks Eric Fleury , Antoine Scherrer , Pierre Borgnat , Jean-Loup Guillaume , Céline Robardet Dynamics on and of Complex Networks – II, Sep 2008, Jerusalem, Israel Conference papers inria-00397375v1
	An inductive database prototype based on virtual mining views Hendrik Blockeel , Toon Calders , Elisa Fromont , Bart Goethals , Adriana Prado SIGKDD international conference on Knowledge discovery and data mining, Aug 2008, Las Vegas, United States. pp.1061-1064, ⟨10.1145/1401890.1402019⟩ Conference papers hal-00372017v1
	A Methodology to Identify Characteristics of the Dynamic of Mobile Networks Antoine Scherrer , Pierre Borgnat , Eric Fleury , Jean-Loup Guillaume , Céline Robardet ACM ASIAN INTERNET ENGINEERING CONFERENCE (AINTEC), Nov 2008, Bangkok, Thailand Conference papers inria-00397374v1
	Transcriptomique Jean-François Boulicaut , Federica Calevro , H. Charles , J.M. Fayard , G. Febvay Journée INSA de Lyon "BioIngénierie / Sciences et Ingénierie du Vivant", 2008, Villeurbanne (France), juillet 2008, France. pp.1-1 Conference papers hal-00391255v1
	A New Way to Aggregate Preferences: Application to Eurovision Song Contests Jérémy Besson , Céline Robardet IDA'07, Sep 2007, Ljubljana, Slovenia. pp.152-162 Conference papers hal-01535505v1
	Communities detection and analysis of their dynamics in collaborative networks Manel Ben Jdidia , Céline Robardet , Eric Fleury Dynamic Virtual Communities: From Connectivity to Information Society, 2007, Lyon, France Conference papers inria-00398813v1
	Analysis of Dynamic Sensor Networks: Power Law Then What? Eric Fleury , Jean-Loup Guillaume , Céline Robardet , Antoine Scherrer Second International Conference on COMmunication Systems softWAre and middlewaRE (COMSWARE 2007), 2007, Bangalore, India Conference papers inria-00398809v1
	Loi de puissance et caractérisation des réseaux dynamiques Eric Fleury , Jean-Loup Guillaume , Céline Robardet , Antoine Scherrer 9ème Rencontres Francophones sur les Aspects Algorithmiques des Télécommunications, May 2007, Ile d'Oléron, France. pp.17-20 Conference papers inria-00176964v1
	Mining bi-sets in numerical data Jérémy Besson , Céline Robardet , Luc de Raedt , Jean-François Boulicaut KIDID@ECMLPKDD, Sep 2006, berlin, Germany Conference papers hal-01535501v1
	Co-classification sous contraintes Ruggero G Pensa , Céline Robardet , Jean-François Boulicaut cAp 2006, May 2006, Trégastel, France Conference papers hal-01535523v1
	Towards constrained co-clustering in ordered 0/1 data sets Ruggero G Pensa , Céline Robardet , Jean-François Boulicaut ISMIS, Apr 2006, Bari, Italy. pp.424-434 Conference papers hal-01535515v1
	Mining a new fault-tolerant pattern type as an alternative to formal concept discovery Jérémy Besson , Céline Robardet , Jean-François Boulicaut ICCS, Jul 2006, Aalborg, Denmark Conference papers hal-01535528v1
	Approximation de concepts formels par des bi-ensembles denses et pertinents Jérémy Besson , Céline Robardet , Jean-François Boulicaut Actes de la conférence francophone d'apprentissage automatique, CAp 2005, Jun 2005, Nice, France. pp.313-328 Conference papers hal-01535553v1
	Constraint-based Mining of Fault Tolerant Patterns from Boolean Data Jérémy Besson , Ruggero G. Pensa , Céline Robardet , Jean-François Boulicaut KDID@ECMLPKDD, Sep 2005, Berlin, Germany Conference papers hal-01535562v1
	Constraint-based mining of fault-tolerant patterns from Boolean data Ruggero G Pensa , Jérémy Besson , Céline Robardet , Jean-François Boulicaut KDID@ECMLPKDD, Sep 2005, porto, Portugal Conference papers hal-01535545v1
	A bi-clustering framework for categorical data Céline Robardet , Ruggero G Pensa , Jean-François Boulicaut 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⟩ Conference papers hal-01535565v1
	Using classification and visualization on pattern databases for gene expression data analysis Céline Robardet , Ruggero Pensa , Jérémy Besson , Jean-François Boulicaut International Workshop on Pattern Representation and Management, PaRMa 2004, Mar 2004, Heraclion, Greece. pp.107-118 Conference papers hal-01589984v1
	Constraint-based mining of formal concepts in transactional data Jérémy Besson , Céline Robardet , Jean-François Boulicaut 8th Pacific-Asia Conference on Knowledge Discovery and Data Mining PaKDD'04, May 2004, sydney, Australia. pp.615-624 Conference papers hal-01535575v1
	Mining formal concepts with a bounded number of exceptions from transactional data Jérémy Besson , Céline Robardet , Jean-François Boulicaut 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⟩ Conference papers hal-01588190v1
	Optimizing subset queries: a step towards SQL-based inductive databases for itemsets Cyrille Masson , Céline Robardet , Jean-François Boulicaut 2004 ACM Symposium of Applied Computing, SAC'2004, Mar 2004, Nicosia, Cyprus. pp.535-539, ⟨10.1145/967900.968013⟩ Conference papers hal-01590027v1
	Mining concepts from large SAGE gene expression matrices François Rioult , C. Robardet , Sylvain Blachon , Bruno Crémilleux , Olivier Gandrillon International Workshop on Knowledge Discovery in Inductive Databases (KDID'03) co-located with ECML/PKDD'03, 2003, Catvat-Dubrovnik, Croatia. pp.107-108 Conference papers hal-00324820v1
	Recherche de groupes de gènes intéressants dans des données d'expression: apport des ensembles fréquents Olivier Gandrillon , Jean-François Boulicaut , Céline Robardet , Sylvain Blachon , Jérémy Besson Atelier Fouille de données biopuces à EGC 2003, Lyon, 22 janvier 2003, Jan 2003, lyon, France Conference papers hal-01535497v1
	Extraction de régularités dans des données d'expression SAGE humaines Sylvain Blachon , Céline Robardet , Jean-François Boulicaut , Olivier Gandrillon Actes Journée Informatique pour l'analyse du transcriptome JPGD'03, Jan 2003, lyon, France Conference papers hal-01535493v1
	Characterization of unsupervised clusters with the simplest association rules: application for child's meningitis C. Robardet , Bruno Crémilleux , J.-F. Boulicaut 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 Conference papers hal-00324768v1

	Supporting the Discovery of Relevant Topological Patterns in Attributed Graphs Julien Salotti , Marc Plantevit , Céline Robardet , Jean-François Boulicaut 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⟩ Conference poster hal-01353106v1
	Constrained-Based Closed Pattern Mining in n-ary Relations Loïc Cerf , Jérémy Besson , Céline Robardet , Jean-François Boulicaut SML - Spring Workshop on Mining and Learning 2008, May 2008, Traben-Trarbach, Germany. pp.1-1, 2008 Conference poster hal-01501377v1
	SQUAT: a web tool to mine SAGE data. Johan Leyritz , Céline Keime , Sylvain Blachon , Céline Robardet , Jean-François Boulicaut Journées Ouvertes Biologie Informatique Mathématiques, JOBIM'07, Jul 2007, Marseille, France. 2007 Conference poster hal-01590433v1
	Extraction d'hyper-rectangles fermés sous contraintes Loïc Cerf , Jérémy Besson , Céline Robardet , Jean-François Boulicaut 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 Conference poster hal-01590451v1
	Using formal concepts for biological knowledge discovery from human SAGE data Sylvain Blachon , Ruggero Pensa , Jérémy Besson , Céline Robardet , Jean-François Boulicaut Journées Ouvertes Biologie Informatique Mathématiques JOBIM'05, Jul 2005, Lyon, France, France. pp.1-2, 2005 Conference poster hal-01534988v1
	Extraction of relevant transcription modules using pattern discovery Jérémy Besson , Céline Robardet , E. Meugnier , Sophie Rome , Jean-François Boulicaut Integrative Post-Genomics, IPG'04, Oct 2004, Lyon, France. 2004 Conference poster hal-01614796v1

	ECML PKDD 2018 Workshops - MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018, Proceedings Céline Robardet , Anna Monreale , Livio Bioglio , Carlos Alzate , Valerio Bitetta 2019 Books hal-02016451v1
	Special Issue of the ECMLPKDD 2016 Journal Track Céline Robardet Thomas Gartner; Mirco Nanni; Andrea Passerini; Céline Robardet. 104 (2-3), 2016, Special Issue of the ECMLPKDD 2016 Journal Track Books hal-02016362v1

	Transformation from Graphs to Signals and Back Ronan Hamon , Pierre Borgnat , Patrick Flandrin , Céline Robardet Vertex-Frequency Analysis of Graph Signals, Springer International Publishing, pp.111-139, 2019, Signals and Communication Technology, ⟨10.1007/978-3-030-03574-7_2⟩ Book sections hal-01949745v1
	Local Pattern Detection in Attributed Graphs Jean-François Boulicaut , Marc Plantevit , Céline Robardet 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⟩ Book sections hal-02016506v1
	A Dynamical Network View of Lyon's Vélo'v Shared Bicycle System Pierre Borgnat , Céline Robardet , Patrice Abry , Patrick Flandrin , Jean-Baptiste Rouquier 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 Book sections hal-01339131v1
	Data Mining Techniques for Communities' Detection in Dynamic Social Networks Céline Robardet 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⟩ Book sections hal-01354398v1
	Inductive Querying with Virtual Mining Views Hendrik Blockeel , Toon Calders , Elisa Fromont , Bart Goethals , Adriana Prado Džeroski, Sašo; Goethals, Bart; Panov, Panče (Eds.). Inductive Databases and Constraint-Based Data Mining, Springer, pp.265-288, 2010 Book sections hal-00531170v1
	A Practical Comparative Study Of Data Mining Query Languages Hendrik Blockeel , Toon Calders , Elisa Fromont , Bart Goethals , Adriana Prado Džeroski, Sašo; Goethals, Bart; Panov, Panče (Eds.). Inductive Databases and Constraint-Based Data Mining, Springer, pp.59-78, 2010 Book sections hal-00531167v1
	Evolving networks Pierre Borgnat , Eric Fleury , Jean-Loup Guillaume , Clémence Magnien , Céline Robardet 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⟩ Book sections hal-01301647v1
	Constraint-driven Co-Clustering of 0/1 Data Ruggero Pensa , Céline Robardet , Jean-François Boulicaut S. Basu et al. Constrained Clustering: Advances in Algorithms, Chapman & Hall/CRC Press, pp.123-148, 2008 Book sections hal-01501910v1
	Contribution to gene expression data analysis by means of set pattern mining Céline Robardet , Ruggero Gaetano Pensa , Jérémy Besson , Jean-François Boulicaut Constraint-based mining and Inductive Databases, 2006, Constraint-based mining and Inductive Databases Book sections hal-01535548v1
	Fouille de données pour l'analyse du transcriptome Céline Robardet , Claire Nédellec , Jean-François Boulicaut Informatique pour l'analyse du transcriptome, Lavoisier Editions, 2004, 978-2-212-12471-2 Book sections hal-02833752v1
	Fouille de données et analyse du transcriptome Céline Robardet , Claire Nédellec , Jean-François Boulicaut 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 Book sections hal-01590031v1

	Discovering and Visualizing Tactics in a Table Tennis Game Based on Subgroup Discovery Pierre Duluard , Xinqing Li , Marc Plantevit , Céline Robardet , Romain Vuillemot ECML/PKDD 2022 Workshop, Grenoble, France, 2022, ⟨10.1007/978-3-031-27527-2_8⟩ Other publications hal-03768114v1

	On GNN explanability with activation patterns Luca Veyrin-Forrer , Ataollah Kamal , Stefan Duffner , Marc Plantevit , Céline Robardet 2021 Preprints, Working Papers, ... hal-03367714v1
	Constraint-based pattern mining approaches for the analysis of relational attributed dynamic graphs Céline Robardet 2013 Preprints, Working Papers, ... hal-01478974v1

	Discovering the structure of complex networks: Implementation and Complexity of the heuristic MACH Ronan Hamon , Pierre Borgnat , Patrick Flandrin , Céline Robardet [Technical Report] Laboratoire de Physique, CNRS 5672; LIRIS UMR CNRS 5205. 2015 Reports ensl-01160737v1
	Relabeling nodes according to the structure of the graph Ronan Hamon , Céline Robardet , Pierre Borgnat , Patrick Flandrin 2013 Reports ensl-00878041v1

Céline Robardet

Publications

Methods for explaining Top-N recommendations through subgroup discovery

Graph model selection by edge probability prequential inference

Electricity price forecasting on the day-ahead market using machine learning

Graph space: using both geometric and probabilistic structure to evaluate statistical graph models!

In pursuit of the hidden features of GNN’s internal representations

Towards a better identification of Bitcoin actors by supervised learning

On GNN explanability with activation rules

User-driven geolocated event detection in social media

Sequential recommendation with metric models based on frequent sequences

SIAS-miner: mining subjectively interesting attributed subgraphs

Opening Fields : A Methodological Contribution to the Identification of Heterogeneous Actors in Unbounded Relational Orders

Rank correlated subgroup discovery

Chemical features mining provides new descriptive structure-odor relationships

Mining exceptional closed patterns in attributed graphs

Exceptional contextual subgraph mining

Extraction of Temporal Network Structures from Graph-based Signals

Graph Dependency Construction Based on Interval-based Event Dependencies Detection in Data Streams

Relabelling vertices according to the network structure by minimizing the cyclic bandwidth sum

What effects topological changes in dynamic graphs?

From bicycle sharing system movements to users: a typology of Vélo’v cyclists in Lyon based on large-scale behavioural dataset

Parameter-less co-clustering for star-structured heterogeneous data

Mining Graph Topological Patterns: Finding Co-variations among Vertex Descriptors

Complex Systems Science: Dreams of Universality, Reality of Interdisciplinarity

An Inductive Database System Based on Virtual Mining Views

Shared Bicycles in a City: A Signal Processing and Data Analysis Perspective

Characterizing the speed and paths of shared bicycles in Lyon

Communities detection and the analysis of their dynamics in collaborative networks

Closed patterns meet n-ary relations

SQUAT: A web tool to mine human, murine and avian SAGE data.

Description and simulation of dynamic mobility networks

Un algorithme générique d'extraction de bi-ensembles sous contraintes dans des données booléennes

Clustering formal concepts to discover biologically relevant knowledge from gene expression data.

Supporting bi-cluster interpretation in 0/1 data by means of local patterns

Modeling the emergence of multi-protein dynamic structures by principles of self-organization through the use of 3DSpi, a multi-agent-based software

Modeling the mergence of multi-protein dynamic structures by principles of self-organization through the use of 3DSpi, a Multi-Agent-based Software.

Constraint-based Formal Concept Mining and its Application to Microarray Data Analysis

Extraction de connaissances dans les données d'expression SAGE humaines.

Forecasting Electricity Prices: An Optimize Then Predict-Based Approach

Improving the non-urgent sanitary transportation

Temporal and Geographical Analysis of Real Economic Activities in the Bitcoin Blockchain

Découverte de sous-groupes de prédictions interprétables pour le triage d'incidents

What Does My GNN Really Capture? On Exploring Internal GNN Representations

Vers une meilleure identification d'acteurs de Bitcoin par apprentissage supervisé

WAIT4: un projet collaboratif sur l'évaluation en dynamique du bien-être des animaux d'élevage - de la captation de la donnée à la découverte de motifs signifiants et de seuils d'alertes spécifiques

Qu'est-ce que mon GNN capture vraiment ? Exploration des représentations internes d'un GNN

Improving the Quality of Rule-Based GNN Explanations

Guidage des métaheuristiques par machine-learning, application au transport d'enfants en situation de handicap

Leveraging semantic for community mining in multilayer networks

Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery

Knowledge-guided search applied to the transportation of disabled people

Gibbs Sampling Subjectively Interesting Tiles

Finding interest groups from Twitter lists

Edge based stochastic block model statistical inference

Why Should I Trust This Item? Explaining the Recommendations of any Model

Sampling Rank Correlated Subgroups

Contrastive antichains in hierarchies

Minimum entropy stochastic block models neglect edge distribution heterogeneity

FSSD - A Fast and Efficient Algorithm for Subgroup Set Discovery

Recommandation séquentielle à base de séquences fréquentes

Exceptional Attributed Subgraph Mining To Understand The Olfactory Percept

Mining Subjectively Interesting Attributed Subgraphs

Contextual Subgraph Discovery With Mobility Models

Mining Convex Polygon Patterns with Formal Concept Analysis

Mining the Lattice of Binary Classifiers for Identifying Duplicate Labels in Behavioral Data

Local subgroup discovery for eliciting and understanding new structure-odor relationships

Découverte de labels dupliqués par l'exploration du treillis des classifieurs binaires

Une méthode de découverte de motifs contextualisés dans les traces de mobilité d'une personne

Unsupervised Exceptional Attributed Sub-graph Mining in Urban Data

Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams

Factorisation de réseaux temporels : étude des rythmes hebdomadaires du système Vélo'v

Profiling users of the Vélo 'v bike sharing system

Granularity of co-Evolution Patterns in Dynamic Attributed Graphs

Nonnegative matrix factorization to find features in temporal networks

Triggering Patterns of Topology Changes in Dynamic Graphs

Temporal Dependency Detection Between Interval-Based Event Sequences

When TEDDY meets GrizzLY: Temporal Dependency Discovery for Triggering Road Deicing Operations (Demo)

Transformation de graphes dynamiques en signaux non stationnaires

Networks as Signals, with an Application to Bike Sharing System