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ORCIDCéline Robardet
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- affiliation: University of Lyon, National Institute of Applied Science, Department of Industrial Engineering, LIRIS, France
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2020 – today
- 2024
[j33]Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet
:
On GNN explainability with activation rules. Data Min. Knowl. Discov. 38(5): 3227-3261 (2024)- [c74]Alessio Ragno, Marc Plantevit, Céline Robardet, Roberto Capobianco:
Transparent Explainable Logic Layers. ECAI 2024: 914-921 - [c73]Arthur Batel, Idir Benouaret, Joan Fruitet, Marc Plantevit, Céline Robardet:
A Simple Yet Effective Interpretable Bayesian Personalized Ranking for Cognitive Diagnosis. ECAI 2024: 2386-2393 - [c72]Thibaut Chataing, Julien Perez, Marc Plantevit, Céline Robardet:
DiffVersify: a Scalable Approach to Differentiable Pattern Mining with Coverage Regularization. ECML/PKDD (6) 2024: 407-422 - [i14]Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet:
On GNN explanability with activation rules. CoRR abs/2406.11594 (2024) - 2023
- [j32]Louis Duvivier, Rémy Cazabet, Céline Robardet:
Graph model selection by edge probability prequential inference. J. Complex Networks 11(3) (2023) - [j31]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) - [c71]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]Timothée Chane-Haï, Samuel Vercraene, Céline Robardet, Thibaud Monteiro:
Improving the non-urgent sanitary transportation. ICCAD 2023: 1-6 - [c69]Léonard Tschora, Erwan Pierre, Marc Plantevit, Céline Robardet:
Forecasting Electricity Prices: An Optimize Then Predict-Based Approach. IDA 2023: 446-458 - [e6]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] - [i13]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) - 2022
- [j30]Rafael Ramos Tubino, Céline Robardet, Rémy Cazabet:
Towards a better identification of Bitcoin actors by supervised learning. Data Knowl. Eng. 142: 102094 (2022) - [j29]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) - [c68]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]Rafael Ramos Tubino, Rémy Cazabet, Céline Robardet:
Vers une meilleure identification d'acteurs de Bitcoin par apprentissage supervisé. EGC 2022: 171-182 - [c66]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]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]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]Ataollah Kamal, Elouan Vincent, Marc Plantevit, Céline Robardet:
Improving the Quality of Rule-Based GNN Explanations. PKDD/ECML Workshops (1) 2022: 467-482 - 2021
- [j28]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]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]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) - [c62]Mohamed Benabdelkrim, Céline Robardet, Jean Savinien:
Leveraging semantic for community mining in multilayer networks. Canadian AI 2021 - [c61]Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue:
Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery. DSAA 2021: 1-10 - [i12]Louis Duvivier, Rémy Cazabet, Céline Robardet:
Edge based stochastic block model statistical inference. CoRR abs/2106.13571 (2021) - [i11]Louis Duvivier, Rémy Cazabet, Céline Robardet:
Graph model selection by edge probability sequential inference. CoRR abs/2106.13579 (2021) - [i10]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]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
- [j25]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) - [c60]Louis Duvivier, Rémy Cazabet, Céline Robardet:
Edge Based Stochastic Block Model Statistical Inference. COMPLEX NETWORKS (2) 2020: 462-473 - [c59]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]Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie:
Gibbs Sampling Subjectively Interesting Tiles. IDA 2020: 80-92 - [c57]Mohamed Benabdelkrim, Jean Savinien, Céline Robardet:
Finding interest groups from Twitter lists. SAC 2020: 1885-1887 - [e5]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] - [e4]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] - [e3]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] - [i8]Corentin Lonjarret, Roch Auburtin, Céline Robardet, Marc Plantevit:
Sequential recommendation with metric models based on frequent sequences. CoRR abs/2008.05587 (2020)
2010 – 2019
- 2019
- [j24]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]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) - [c56]Louis Duvivier, Céline Robardet, Rémy Cazabet:
Minimum Entropy Stochastic Block Models Neglect Edge Distribution Heterogeneity. COMPLEX NETWORKS (1) 2019: 545-555 - [c55]Mohamed-Ali Hammal, Bernardo A. Abreu, Marc Plantevit, Céline Robardet:
Sampling Rank Correlated Subgroups. DCAI 2019: 217-225 - [c54]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]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]Corentin Lonjarret, Marc Plantevit, Céline Robardet, Roch Auburtin:
Recommandation séquentielle à base de séquences fréquentes. EGC 2019: 267-272 - [c51]Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie:
Contrastive Antichains in Hierarchies. KDD 2019: 294-304 - [e2]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] - [i7]Anes Bendimerad, Ahmad Mel, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie:
Mining Subjectively Interesting Attributed Subgraphs. CoRR abs/1905.03040 (2019) - [i6]Louis Duvivier, Rémy Cazabet, Céline Robardet:
Minimum entropy stochastic block models neglect edge distribution heterogeneity. CoRR abs/1910.07879 (2019) - 2018
- [j22]Ahmed Anes Bendimerad, Marc Plantevit, Céline Robardet:
Mining exceptional closed patterns in attributed graphs. Knowl. Inf. Syst. 56(1): 1-25 (2018) - [c50]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
- [j21]Mehdi Kaytoue, Marc Plantevit, Albrecht Zimmermann, Ahmed Anes Bendimerad, Céline Robardet:
Exceptional contextual subgraph mining. Mach. Learn. 106(8): 1171-1211 (2017) - [c49]Ahmed Anes Bendimerad, Rémy Cazabet, Marc Plantevit, Céline Robardet:
Contextual Subgraph Discovery with Mobility Models. COMPLEX NETWORKS 2017: 477-489 - [c48]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]Aimene Belfodil, Sergei O. Kuznetsov, Céline Robardet, Mehdi Kaytoue:
Mining Convex Polygon Patterns with Formal Concept Analysis. IJCAI 2017: 1425-1432 - 2016
- [j20]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]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]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]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]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) - [c46]Jean-François Boulicaut, Marc Plantevit, Céline Robardet:
Local Pattern Detection in Attributed Graphs. Solving Large Scale Learning Tasks 2016: 168-183 - [c45]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]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]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]Ahmed Anes Bendimerad, Marc Plantevit, Céline Robardet:
Unsupervised Exceptional Attributed Sub-Graph Mining in Urban Data. ICDM 2016: 21-30 - 2015
- [j15]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) - [c41]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 - [c40]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 - [i5]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]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
- [c39]Mehdi Kaytoue, Yoann Pitarch, Marc Plantevit, Céline Robardet:
Triggering patterns of topology changes in dynamic graphs. ASONAM 2014: 158-165 - [c38]Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet:
Nonnegative matrix factorization to find features in temporal networks. ICASSP 2014: 1065-1069 - [c37]Elise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut:
Granularity of Co-evolution Patterns in Dynamic Attributed Graphs. IDA 2014: 84-95 - [c36]Marc Plantevit, Vasile-Marian Scuturici, Céline Robardet:
Temporal Dependency Detection Between Interval-Based Event Sequences. NFMCP 2014: 132-146 - [i3]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) - 2013
- [j14]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]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) - [c35]Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet:
Networks as signals, with an application to a bike sharing system. GlobalSIP 2013: 611-614 - [c34]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]Elise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut:
Trend Mining in Dynamic Attributed Graphs. ECML/PKDD (1) 2013: 654-669 - 2012
- [j12]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]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) - [c32]Elise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut:
Cohesive Co-evolution Patterns in Dynamic Attributed Graphs. Discovery Science 2012: 110-124 - [c31]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]Julien Salotti, Marc Plantevit, Céline Robardet, Jean-François Boulicaut:
Supporting the Discovery of Relevant Topological Patterns in Attributed Graphs. ICDM Workshops 2012: 898-901 - [i2]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) - 2011
- [j10]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) - 2010
- [p2]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 - [p1]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 - [i1]Pablo Jensen, Jean-Baptiste Rouquier, Nicolas Ovtracht, Céline Robardet:
Characterizing the speed and paths of shared bicycles in Lyon. CoRR abs/1011.6266 (2010)
2000 – 2009
- 2009
- [j9]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]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) - [c29]Pierre Borgnat, Eric Fleury, Jean-Loup Guillaume, Céline Robardet:
Characteristics of the Dynamic of Mobile Networks. BIONETICS 2009: 130-139 - [c28]Céline Robardet:
Constraint-Based Pattern Mining in Dynamic Graphs. ICDM 2009: 950-955 - [c27]Élisa Fromont, Adriana Prado, Céline Robardet:
Constraint-Based Subspace Clustering. SDM 2009: 26-37 - [c26]Boris Cule, Bart Goethals, Céline Robardet:
A New Constraint for Mining Sets in Sequences. SDM 2009: 317-328 - [e1]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] - 2008
- [j7]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]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) - [c25]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 - [c24]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 - [c23]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
- [j5]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) - [c22]Eric Fleury, Jean-Loup Guillaume, Céline Robardet, Antoine Scherrer:
Analysis of Dynamic Sensor Networks: Power Law Then What? COMSWARE 2007 - [c21]Manel Ben Jdidia, Céline Robardet, Eric Fleury:
Communities detection and analysis of their dynamics in collaborative networks. ICDIM 2007: 744-749 - [c20]Jérémy Besson, Céline Robardet:
A New Way to Aggregate Preferences: Application to Eurovision Song Contests. IDA 2007: 152-162 - [c19]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
- [j4]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) - [c18]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]Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut:
Towards Constrained Co-clustering in Ordered 0/1 Data Sets. ISMIS 2006: 425-434 - [c16]Jérémy Besson, Céline Robardet, Luc De Raedt, Jean-François Boulicaut:
Mining Bi-sets in Numerical Data. KDID 2006: 11-23 - 2005
- [j3]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]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) - [c15]Jérémy Besson, Céline Robardet, Jean-François Boulicaut:
Approximation de collections de concepts formels par des bi-ensembles denses et pertinents. CAP 2005: 313-328 - [c14]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]Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut:
A Bi-clustering Framework for Categorical Data. PKDD 2005: 643-650 - 2004
- [c12]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 - [c11]Jérémy Besson, Céline Robardet, Jean-François Boulicaut:
Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data. KDID 2004: 33-45 - [c10]Jérémy Besson, Céline Robardet, Jean-François Boulicaut:
Constraint-Based Mining of Formal Concepts in Transactional Data. PAKDD 2004: 615-624 - [c9]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]Panos Vassiliadis, Barbara Catania, Daniel A. Keim, Yannis Theodoridis, Céline Robardet:
Pattern management challenges. PaRMa 2004 - [c7]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]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 - 2002
- [j1]Céline Robardet, Christophe Rigotti:
Etude de méthodes de recherche locale pour la construction de bipartitions. Rev. d'Intelligence Artif. 16(6): 705-728 (2002) - 2001
- [c5]Céline Robardet, Fabien Feschet:
Efficient Local Search in Conceptual Clustering. Discovery Science 2001: 323-335 - [c4]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 - [c3]Céline Robardet, Fabien Feschet:
Comparison of Three Objective Functions for Conceptual Clustering. PKDD 2001: 399-410 - 2000
- [c2]Céline Robardet, Fabien Feschet:
A New Methodology to Compare Clustering Algorithms. IDEAL 2000: 565-570 - [c1]Céline Robardet, Fabien Feschet, Nicolas Nicoloyannis:
An Experimental Study of Partition Quality Indices in Clustering. PKDD 2000: 599-604
Coauthor Index
Ahmed Anes Bendimerad
aka: Anes Bendimerad
aka: Anes Bendimerad
Mehdi Kaytoue-Uberall
aka: Mehdi Kaytoue
aka: Mehdi Kaytoue
[j33] [c74] [c73] [c72] [i14] [j31] [c71] [c69] [j29] [c68] [c66] [c65] [c64] [c63] [j27] [j26] [c61] [i9] [j25] [c59] [c58] [i8] [j24] [j23] [c55] [c54] [c53] [c52] [c51] [i7] [j22] [c50] [j21] [c49] [j18] [c46] [c45] [c44] [c42] [j15] [c41] [c40] [c39] [c37] [c36] [j13] [c34] [c33] [c32] [c31] [c30]
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