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Céline Robardet

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affiliation: University of Lyon, National Institute of Applied Science, Department of Industrial Engineering, LIRIS, France

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2023
[j32]
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Louis Duvivier, Rémy Cazabet, Céline Robardet:
Graph model selection by edge probability prequential inference. J. Complex Networks 11(3) (2023)
[j31]
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Mouloud Iferroudjene, Corentin Lonjarret, Céline Robardet, Marc Plantevit, Martin Atzmueller:
Methods for explaining Top-N recommendations through subgroup discovery. Data Min. Knowl. Discov. 37(2): 833-872 (2023)
2022
[j30]
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Rafael Ramos Tubino, Céline Robardet, Rémy Cazabet:
Towards a better identification of Bitcoin actors by supervised learning. Data Knowl. Eng. 142: 102094 (2022)
[j29]
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Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet:
In pursuit of the hidden features of GNN's internal representations. Data Knowl. Eng. 142: 102097 (2022)
2021
[j28]
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Louis Duvivier, Rémy Cazabet, Céline Robardet:
Graph space: using both geometric and probabilistic structure to evaluate statistical graph models. J. Complex Networks 10(2) (2021)
[j27]
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Corentin Lonjarret, Roch Auburtin, Céline Robardet, Marc Plantevit:
Sequential recommendation with metric models based on frequent sequences. Data Min. Knowl. Discov. 35(3): 1087-1133 (2021)
[j26]
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Anes Bendimerad, Marc Plantevit, Céline Robardet, Sihem Amer-Yahia:
User-Driven Geolocated Event Detection in Social Media. IEEE Trans. Knowl. Data Eng. 33(2): 796-809 (2021)
2020
[j25]
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Anes Bendimerad, Ahmad Mel, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie:
SIAS-miner: mining subjectively interesting attributed subgraphs. Data Min. Knowl. Discov. 34(2): 355-393 (2020)
2019
[j24]
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Mohamed-Ali Hammal, Hélène Mathian, Luc Merchez, Marc Plantevit, Céline Robardet:
Rank correlated subgroup discovery. J. Intell. Inf. Syst. 53(2): 305-328 (2019)
[j23]
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Carmen C. Licon, Guillaume Bosc, Mohammed Sabri, Marylou Mantel, Arnaud P. Fournel, Caroline Bushdid, Jérôme Golebiowski, Céline Robardet, Marc Plantevit, Mehdi Kaytoue, Moustafa Bensafi:
Chemical features mining provides new descriptive structure-odor relationships. PLoS Comput. Biol. 15(4) (2019)
2018
[j22]
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Ahmed Anes Bendimerad, Marc Plantevit, Céline Robardet:
Mining exceptional closed patterns in attributed graphs. Knowl. Inf. Syst. 56(1): 1-25 (2018)
2017
[j21]
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Mehdi Kaytoue, Marc Plantevit, Albrecht Zimmermann, Ahmed Anes Bendimerad, Céline Robardet:
Exceptional contextual subgraph mining. Mach. Learn. 106(8): 1171-1211 (2017)
2016
[j20]
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Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet:
Relabelling vertices according to the network structure by minimizing the cyclic bandwidth sum. J. Complex Networks 4(4): 534-560 (2016)
[j19]
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Thomas Gärtner, Mirco Nanni, Andrea Passerini, Céline Robardet:
Guest editors' introduction to the EcmlPkdd 2016 journal track special issue of Machine Learning. Data Min. Knowl. Discov. 30(5): 995-997 (2016)
[j18]
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Marc Plantevit, Céline Robardet, Vasile-Marian Scuturici:
Graph dependency construction based on interval-event dependencies detection in data streams. Intell. Data Anal. 20(2): 223-256 (2016)
[j17]
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Thomas Gärtner, Mirco Nanni, Andrea Passerini, Céline Robardet:
Guest editors' introduction to the EcmlPkdd 2016 journal track special issue of Machine Learning. Mach. Learn. 104(2-3): 149-150 (2016)
[j16]
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Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet:
Extraction of Temporal Network Structures From Graph-Based Signals. IEEE Trans. Signal Inf. Process. over Networks 2(2): 215-226 (2016)
2015
[j15]
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Mehdi Kaytoue, Yoann Pitarch, Marc Plantevit, Céline Robardet:
What effects topological changes in dynamic graphs? - Elucidating relationships between vertex attributes and the graph structure. Soc. Netw. Anal. Min. 5(1): 55:1-55:17 (2015)
2013
[j14]
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  - journals/datamine/IencoRPM13
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Dino Ienco, Céline Robardet, Ruggero G. Pensa, Rosa Meo:
Parameter-less co-clustering for star-structured heterogeneous data. Data Min. Knowl. Discov. 26(2): 217-254 (2013)
[j13]
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Adriana Prado, Marc Plantevit, Céline Robardet, Jean-François Boulicaut:
Mining Graph Topological Patterns: Finding Covariations among Vertex Descriptors. IEEE Trans. Knowl. Data Eng. 25(9): 2090-2104 (2013)
2012
[j12]
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Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet:
An inductive database system based on virtual mining views. Data Min. Knowl. Discov. 24(1): 247-287 (2012)
[j11]
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Sebastian Grauwin, Guillaume Beslon, Eric Fleury, Sara Franceschelli, Céline Robardet, Jean-Baptiste Rouquier, Pablo Jensen:
Complex systems science: Dreams of universality, interdisciplinarity reality. J. Assoc. Inf. Sci. Technol. 63(7): 1327-1338 (2012)
2011
[j10]
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Pierre Borgnat, Patrice Abry, Patrick Flandrin, Céline Robardet, Jean-Baptiste Rouquier, Eric Fleury:
Shared Bicycles in a City: a Signal Processing and Data Analysis Perspective. Adv. Complex Syst. 14(3): 415-438 (2011)
2009
[j9]
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Céline Robardet, Eric Fleury:
Communities detection and the analysis of their dynamics in collaborative networks. Int. J. Web Based Communities 5(2): 195-211 (2009)
[j8]
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Loïc Cerf, Jérémy Besson, Céline Robardet, Jean-François Boulicaut:
Closed patterns meet n-ary relations. ACM Trans. Knowl. Discov. Data 3(1): 3:1-3:36 (2009)
2008
[j7]
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  - journals/bmcbi/LeyritzSBKRBBPG08
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Johan Leyritz, Stéphane Schicklin, Sylvain Blachon, Céline Keime, Céline Robardet, Jean-François Boulicaut, Jérémy Besson, Ruggero G. Pensa, Olivier Gandrillon:
SQUAT: A web tool to mine human, murine and avian SAGE data. BMC Bioinform. 9 (2008)
[j6]
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Antoine Scherrer, Pierre Borgnat, Eric Fleury, Jean-Loup Guillaume, Céline Robardet:
Description and simulation of dynamic mobility networks. Comput. Networks 52(15): 2842-2858 (2008)
2007
[j5]
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Sylvain Blachon, Ruggero G. Pensa, Jérémy Besson, Céline Robardet, Jean-François Boulicaut, Olivier Gandrillon:
Clustering Formal Concepts to Discover Biologically Relevant Knowledge from Gene Expression Data. Silico Biol. 7(4-5): 467-483 (2007)
2006
[j4]
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Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut:
Supporting bi-cluster interpretation in 0/1 data by means of local patterns. Intell. Data Anal. 10(5): 457-472 (2006)
2005
[j3]
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Hédi Soula, Céline Robardet, François Perrin, Sébastien Gripon, Guillaume Beslon, Olivier Gandrillon:
Modeling the emergence of multi-protein dynamic structures by principles of self-organization through the use of 3DSpi, a multi-agent-based software. BMC Bioinform. 6: 228 (2005)
[j2]
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Jérémy Besson, Céline Robardet, Jean-François Boulicaut, Sophie Rome:
Constraint-based concept mining and its application to microarray data analysis. Intell. Data Anal. 9(1): 59-82 (2005)
2002
[j1]
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Céline Robardet, Christophe Rigotti:
Etude de méthodes de recherche locale pour la construction de bipartitions. Rev. d'Intelligence Artif. 16(6): 705-728 (2002)

Conference and Workshop Papers

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2023
[c71]
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Léonard Tschora, Tias Guns, Erwan Pierre, Marc Plantevit, Céline Robardet:
Electricity Price Forecasting based on Order Books: a differentiable optimization approach. DSAA 2023: 1-10
[c70]
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  - conf/iccad2/ChaneHaiVRM23
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Timothée Chane-Haï, Samuel Vercraene, Céline Robardet, Thibaud Monteiro:
Improving the non-urgent sanitary transportation. ICCAD 2023: 1-6
[c69]
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Léonard Tschora, Erwan Pierre, Marc Plantevit, Céline Robardet:
Forecasting Electricity Prices: An Optimize Then Predict-Based Approach. IDA 2023: 446-458
2022
[c68]
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Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet:
Qu'est-ce que mon GNN capture vraiment ? Exploration des représentations internes d'un GNN. EGC 2022: 159-170
[c67]
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Rafael Ramos Tubino, Rémy Cazabet, Céline Robardet:
Vers une meilleure identification d'acteurs de Bitcoin par apprentissage supervisé. EGC 2022: 171-182
[c66]
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Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue:
Découverte de sous-groupes de prédictions interprétables pour le triage d'incidents. EGC 2022: 411-418
[c65]
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Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet:
What Does My GNN Really Capture? On Exploring Internal GNN Representations. IJCAI 2022: 747-752
[c64]
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Pierre Duluard, Xinqing Li, Marc Plantevit, Céline Robardet, Romain Vuillemot:
Discovering and Visualizing Tactics in a Table Tennis Game Based on Subgroup Discovery. MLSA@PKDD/ECML 2022: 101-112
[c63]
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Ataollah Kamal, Elouan Vincent, Marc Plantevit, Céline Robardet:
Improving the Quality of Rule-Based GNN Explanations. PKDD/ECML Workshops (1) 2022: 467-482
2021
[c62]
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Mohamed Benabdelkrim, Céline Robardet, Jean Savinien:
Leveraging semantic for community mining in multilayer networks. Canadian AI 2021
[c61]
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  - conf/dsaa/RemilBPRK21
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Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue:
Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery. DSAA 2021: 1-10
2020
[c60]
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Louis Duvivier, Rémy Cazabet, Céline Robardet:
Edge Based Stochastic Block Model Statistical Inference. COMPLEX NETWORKS (2) 2020: 462-473
[c59]
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  - conf/dsaa/LonjarretRPAA20
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Corentin Lonjarret, Céline Robardet, Marc Plantevit, Roch Auburtin, Martin Atzmueller:
Why Should I Trust This Item? Explaining the Recommendations of any Model. DSAA 2020: 526-535
[c58]
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Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie:
Gibbs Sampling Subjectively Interesting Tiles. IDA 2020: 80-92
[c57]
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  - conf/sac/BenabdelkrimSR20
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Mohamed Benabdelkrim, Jean Savinien, Céline Robardet:
Finding interest groups from Twitter lists. SAC 2020: 1885-1887
2019
[c56]
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Louis Duvivier, Céline Robardet, Rémy Cazabet:
Minimum Entropy Stochastic Block Models Neglect Edge Distribution Heterogeneity. COMPLEX NETWORKS (1) 2019: 545-555
[c55]
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Mohamed-Ali Hammal, Bernardo A. Abreu, Marc Plantevit, Céline Robardet:
Sampling Rank Correlated Subgroups. DCAI 2019: 217-225
[c54]
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  - conf/dsaa/BelfodilBBLRKP19
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Adnene Belfodil, Aimene Belfodil, Anes Bendimerad, Philippe Lamarre, Céline Robardet, Mehdi Kaytoue, Marc Plantevit:
FSSD - A Fast and Efficient Algorithm for Subgroup Set Discovery. DSAA 2019: 91-99
[c53]
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Mohamed-Ali Hammal, Céline Robardet, Marc Plantevit:
Quand les sous-groupes rencontrent les graduels : découverte de sous-groupes identifiant des corrélations exceptionnelles. EGC 2019: 201-212
[c52]
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Corentin Lonjarret, Marc Plantevit, Céline Robardet, Roch Auburtin:
Recommandation séquentielle à base de séquences fréquentes. EGC 2019: 267-272
[c51]
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Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie:
Contrastive Antichains in Hierarchies. KDD 2019: 294-304
2018
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Maëlle Moranges, Marc Plantevit, Arnaud P. Fournel, Moustafa Bensafi, Céline Robardet:
Exceptional Attributed Subgraph Mining to Understand the Olfactory Percept. DS 2018: 276-291
2017
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Ahmed Anes Bendimerad, Rémy Cazabet, Marc Plantevit, Céline Robardet:
Contextual Subgraph Discovery with Mobility Models. COMPLEX NETWORKS 2017: 477-489
[c48]
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Quentin Labernia, Víctor Codocedo, Céline Robardet, Mehdi Kaytoue:
Mining the Lattice of Binary Classifiers for Identifying Duplicate Labels in Behavioral Data. IEA/AIE (2) 2017: 12-21
[c47]
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Aimene Belfodil, Sergei O. Kuznetsov, Céline Robardet, Mehdi Kaytoue:
Mining Convex Polygon Patterns with Formal Concept Analysis. IJCAI 2017: 1425-1432
2016
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Jean-François Boulicaut, Marc Plantevit, Céline Robardet:
Local Pattern Detection in Attributed Graphs. Solving Large Scale Learning Tasks 2016: 168-183
[c45]
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Guillaume Bosc, Jérôme Golebiowski, Moustafa Bensafi, Céline Robardet, Marc Plantevit, Jean-François Boulicaut, Mehdi Kaytoue:
Local Subgroup Discovery for Eliciting and Understanding New Structure-Odor Relationships. DS 2016: 19-34
[c44]
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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. EGC 2016: 63-68
[c43]
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Quentin Labernia, Víctor Codocedo, Mehdi Kaytoue, Céline Robardet:
Découverte de labels dupliqués par l'exploration du treillis des classifieurs binaires. EGC 2016: 255-266
[c42]
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Ahmed Anes Bendimerad, Marc Plantevit, Céline Robardet:
Unsupervised Exceptional Attributed Sub-Graph Mining in Urban Data. ICDM 2016: 21-30
2015
[c41]
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Albrecht Zimmermann, Mehdi Kaytoue, Marc Plantevit, Céline Robardet, Jean-François Boulicaut:
Profiling Users of the Velo'v Bike Sharing System. MUD@ICML 2015: 63-64
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Pierre Houdyer, Albrecht Zimmermann, Mehdi Kaytoue, Marc Plantevit, Joseph Mitchell, Céline Robardet:
Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams. ECML/PKDD (3) 2015: 276-280
2014
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Mehdi Kaytoue, Yoann Pitarch, Marc Plantevit, Céline Robardet:
Triggering patterns of topology changes in dynamic graphs. ASONAM 2014: 158-165
[c38]
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Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet:
Nonnegative matrix factorization to find features in temporal networks. ICASSP 2014: 1065-1069
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Elise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut:
Granularity of Co-evolution Patterns in Dynamic Attributed Graphs. IDA 2014: 84-95
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Marc Plantevit, Vasile-Marian Scuturici, Céline Robardet:
Temporal Dependency Detection Between Interval-Based Event Sequences. NFMCP 2014: 132-146
2013
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Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet:
Networks as signals, with an application to a bike sharing system. GlobalSIP 2013: 611-614
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Céline Robardet, Vasile-Marian Scuturici, Marc Plantevit, Antoine Fraboulet:
When TEDDY meets GrizzLY: temporal dependency discovery for triggering road deicing operations. KDD 2013: 1490-1493
[c33]
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Elise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut:
Trend Mining in Dynamic Attributed Graphs. ECML/PKDD (1) 2013: 654-669
2012
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Elise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut:
Cohesive Co-evolution Patterns in Dynamic Attributed Graphs. Discovery Science 2012: 110-124
[c31]
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Adriana 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. EGC 2012: 267-278
[c30]
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Julien Salotti, Marc Plantevit, Céline Robardet, Jean-François Boulicaut:
Supporting the Discovery of Relevant Topological Patterns in Attributed Graphs. ICDM Workshops 2012: 898-901
2009
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Pierre Borgnat, Eric Fleury, Jean-Loup Guillaume, Céline Robardet:
Characteristics of the Dynamic of Mobile Networks. BIONETICS 2009: 130-139
[c28]
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Céline Robardet:
Constraint-Based Pattern Mining in Dynamic Graphs. ICDM 2009: 950-955
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Élisa Fromont, Adriana Prado, Céline Robardet:
Constraint-Based Subspace Clustering. SDM 2009: 26-37
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Boris Cule, Bart Goethals, Céline Robardet:
A New Constraint for Mining Sets in Sequences. SDM 2009: 317-328
2008
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Antoine Scherrer, Pierre Borgnat, Eric Fleury, Jean-Loup Guillaume, Céline Robardet:
A methodology to identify characteristics of the dynamic of mobile networks. AINTEC 2008: 59-62
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Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet:
An inductive database prototype based on virtual mining views. KDD 2008: 1061-1064
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Loïc Cerf, Jérémy Besson, Céline Robardet, Jean-François Boulicaut:
Data Peeler: Contraint-Based Closed Pattern Mining in n-ary Relations. SDM 2008: 37-48
2007
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Eric Fleury, Jean-Loup Guillaume, Céline Robardet, Antoine Scherrer:
Analysis of Dynamic Sensor Networks: Power Law Then What? COMSWARE 2007
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Manel Ben Jdidia, Céline Robardet, Eric Fleury:
Communities detection and analysis of their dynamics in collaborative networks. ICDIM 2007: 744-749
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Jérémy Besson, Céline Robardet:
A New Way to Aggregate Preferences: Application to Eurovision Song Contests. IDA 2007: 152-162
[c19]
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Pierre Borgnat, Eric Fleury, Jean-Loup Guillaume, Clémence Magnien, Céline Robardet, Antoine Scherrer:
Evolving networks. NATO ASI Mining Massive Data Sets for Security 2007: 198-203
2006
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Jérémy Besson, Céline Robardet, Jean-François Boulicaut:
Mining a New Fault-Tolerant Pattern Type as an Alternative to Formal Concept Discovery. ICCS 2006: 144-157
[c17]
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Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut:
Towards Constrained Co-clustering in Ordered 0/1 Data Sets. ISMIS 2006: 425-434
[c16]
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Jérémy Besson, Céline Robardet, Luc De Raedt, Jean-François Boulicaut:
Mining Bi-sets in Numerical Data. KDID 2006: 11-23
2005
[c15]
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Jérémy Besson, Céline Robardet, Jean-François Boulicaut:
Approximation de collections de concepts formels par des bi-ensembles denses et pertinents. CAP 2005: 313-328
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Jérémy Besson, Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut:
Constraint-Based Mining of Fault-Tolerant Patterns from Boolean Data. KDID 2005: 55-71
[c13]
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Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut:
A Bi-clustering Framework for Categorical Data. PKDD 2005: 643-650
2004
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Ruggero G. Pensa, Jérémy Besson, Céline Robardet, Jean-François Boulicaut:
Contribution to Gene Expression Data Analysis by Means of Set Pattern Mining. Constraint-Based Mining and Inductive Databases 2004: 328-347
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Jérémy Besson, Céline Robardet, Jean-François Boulicaut:
Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data. KDID 2004: 33-45
[c10]
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Jérémy Besson, Céline Robardet, Jean-François Boulicaut:
Constraint-Based Mining of Formal Concepts in Transactional Data. PAKDD 2004: 615-624
[c9]
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Céline Robardet, Ruggero G. Pensa, Jérémy Besson, Jean-François Boulicaut:
Using Classification and Visualization on Pattern Databases for Gene Expression Data Analysis. PaRMa 2004
[c8]
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Panos Vassiliadis, Barbara Catania, Daniel A. Keim, Yannis Theodoridis, Céline Robardet:
Pattern management challenges. PaRMa 2004
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Cyrille Masson, Céline Robardet, Jean-François Boulicaut:
Optimizing subset queries: a step towards SQL-based inductive databases for itemsets. SAC 2004: 535-539
2003
[c6]
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François Rioult, Céline Robardet, Sylvain Blachon, Bruno Crémilleux, Olivier Gandrillon, Jean-François Boulicaut:
Mining Concepts from Large SAGE Gene Expression Matrices. KDID 2003: 107-118
2001
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Céline Robardet, Fabien Feschet:
Efficient Local Search in Conceptual Clustering. Discovery Science 2001: 323-335
[c4]
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Céline Robardet, Christine Verdier:
A Preliminary Study of a New Classification to Build Homogeneous Patient's Groups in Home-Based Care. ICEIS (1) 2001: 397-403
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Céline Robardet, Fabien Feschet:
Comparison of Three Objective Functions for Conceptual Clustering. PKDD 2001: 399-410
2000
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Céline Robardet, Fabien Feschet:
A New Methodology to Compare Clustering Algorithms. IDEAL 2000: 565-570
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Céline Robardet, Fabien Feschet, Nicolas Nicoloyannis:
An Experimental Study of Partition Quality Indices in Clustering. PKDD 2000: 599-604

Parts in Books or Collections

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What is the meaning of the colors in the publication lists?

2010
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Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet:
A Practical Comparative Study Of Data Mining Query Languages. Inductive Databases and Constraint-Based Data Mining 2010: 59-77
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Hendrik Blockeel, Toon Calders, Élisa Fromont, Adriana Prado, Bart Goethals, Céline Robardet:
Inductive Querying with Virtual Mining Views. Inductive Databases and Constraint-Based Data Mining 2010: 265-287

Editorship

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2023
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Bart Goethals, Céline Robardet, Arno Siebes:
Proceedings of the 20th anniversary Workshop on Knowledge Discovery in Inductive Databases co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2022 (ECMLPKDD 2022), Grenoble, France, September 19-23, 2022. CEUR Workshop Proceedings 3334, CEUR-WS.org 2023 [contents]
2020
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Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11906, Springer 2020, ISBN 978-3-030-46149-2 [contents]
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Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11907, Springer 2020, ISBN 978-3-030-46146-1 [contents]
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Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part III. Lecture Notes in Computer Science 11908, Springer 2020, ISBN 978-3-030-46132-4 [contents]
2019
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  - conf/pkdd/2018midas
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Carlos Alzate, Anna Monreale, Livio Bioglio, Valerio Bitetta, Ilaria Bordino, Guido Caldarelli, Andrea Ferretti, Riccardo Guidotti, Francesco Gullo, Stefano Pascolutti, Ruggero G. Pensa, Céline Robardet, Tiziano Squartini:
ECML PKDD 2018 Workshops - MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018, Proceedings. Lecture Notes in Computer Science 11054, Springer 2019, ISBN 978-3-030-13462-4 [contents]
2009
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Niall M. Adams, Céline Robardet, Arno Siebes, Jean-François Boulicaut:
Advances in Intelligent Data Analysis VIII, 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009. Proceedings. Lecture Notes in Computer Science 5772, Springer 2009, ISBN 978-3-642-03914-0 [contents]

Informal and Other Publications

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2024
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  - journals/corr/abs-2406-11594
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Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet:
On GNN explanability with activation rules. CoRR abs/2406.11594 (2024)
2023
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  - journals/corr/abs-2307-08616
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Rafael Ramos Tubino, Rémy Cazabet, Natkamon Tovanich, Céline Robardet:
Temporal and Geographical Analysis of Real Economic Activities in the Bitcoin Blockchain. CoRR abs/2307.08616 (2023)
2021
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Louis Duvivier, Rémy Cazabet, Céline Robardet:
Edge based stochastic block model statistical inference. CoRR abs/2106.13571 (2021)
[i11]
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  - journals/corr/abs-2106-13579
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Louis Duvivier, Rémy Cazabet, Céline Robardet:
Graph model selection by edge probability sequential inference. CoRR abs/2106.13579 (2021)
[i10]
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  - journals/corr/abs-2106-13587
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Louis Duvivier, Rémy Cazabet, Céline Robardet:
Graph space: using both geometric and probabilistic structure to evaluate statistical graph models. CoRR abs/2106.13587 (2021)
[i9]
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  - journals/corr/abs-2108-03013
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Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue:
Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery. CoRR abs/2108.03013 (2021)
2020
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  - journals/corr/abs-2008-05587
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Corentin Lonjarret, Roch Auburtin, Céline Robardet, Marc Plantevit:
Sequential recommendation with metric models based on frequent sequences. CoRR abs/2008.05587 (2020)
2019
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  - journals/corr/abs-1905-03040
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Anes Bendimerad, Ahmad Mel, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie:
Mining Subjectively Interesting Attributed Subgraphs. CoRR abs/1905.03040 (2019)
[i6]
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  - journals/corr/abs-1910-07879
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Louis Duvivier, Rémy Cazabet, Céline Robardet:
Minimum entropy stochastic block models neglect edge distribution heterogeneity. CoRR abs/1910.07879 (2019)
2015
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  - journals/corr/HamonBFR15
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Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet:
From graphs to signals and back: Identification of network structures using spectral analysis. CoRR abs/1502.04697 (2015)
[i4]
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Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet:
Duality between Temporal Networks and Signals: Extraction of the Temporal Network Structures. CoRR abs/1505.03044 (2015)
2014
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Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet:
Heuristic for solving cyclic bandwidth sum problem by following the structure of the graph. CoRR abs/1410.6108 (2014)
2012
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  - journals/corr/abs-1206-2216
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Sebastian Grauwin, Guillaume Beslon, Eric Fleury, Sara Franceschelli, Céline Robardet, Jean-Baptiste Rouquier, Pablo Jensen:
Complex Systems Science: Dreams of Universality, Reality of Interdisciplinarity. CoRR abs/1206.2216 (2012)
2010
[i1]
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  - journals/corr/abs-1011-6266
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Pablo Jensen, Jean-Baptiste Rouquier, Nicolas Ovtracht, Céline Robardet:
Characterizing the speed and paths of shared bicycles in Lyon. CoRR abs/1011.6266 (2010)

Coauthor Index

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