Céline Robardet

139 papers A* 7A 6B 17C 2Misc 5Journal 49Unranked 46

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Interpretable Model for Multi-target Predictions with Ordinal Outputs. Mach. Learn. Arthur Batel, Marc Plantevit, Idir Benouaret, Céline Robardet
2026	—	`conf`	LogiX-Me: Logic-based Self-Explainable Message Passing GNN. EDBT/ICDT Workshops Simone Palumbo, Alessio Ragno, Roberto Capobianco, Marc Plantevit, Céline Robardet
2025	—	`conf`	A Subjective Pattern Mining Literature Survey. Challenges and Algorithms for Knowledge Discovery from Data Jean-François Boulicaut, Marc Plantevit, Céline Robardet
2025	B	`conf`	Diffusion for Explainable Unsupervised Anomaly Detection. DSAA Elouan Vincent, Alexandre Dréan, Julien Perez, Marc Plantevit, Céline Robardet
2025	B	`conf`	Explainability of Molecular Graph Neural Network. DSAA Ataollah Kamal, Matej Hladis, Jérémie Topin, Marc Plantevit, Sébastien Fiorucci, Céline Robardet
2025	—	`conf`	Faithful Explanations for Graph Classification Using Logic. ECML/PKDD (4) Alessio Ragno, Marc Plantevit, Céline Robardet
2025	J	`jnl`	Leveraging internal representations of GNNs with Shapley values. Data Min. Knowl. Discov. Ataollah Kamal, Alessio Ragno, Marc Plantevit, Céline Robardet
2024	A	`conf`	A Simple Yet Effective Interpretable Bayesian Personalized Ranking for Cognitive Diagnosis. ECAI Arthur Batel, Idir Benouaret, Joan Fruitet, Marc Plantevit, Céline Robardet
2024	—	`conf`	DiffVersify: a Scalable Approach to Differentiable Pattern Mining with Coverage Regularization. ECML/PKDD (6) Thibaut Chataing, Julien Perez, Marc Plantevit, Céline Robardet
2024	J	`jnl`	On GNN explainability with activation rules. Data Min. Knowl. Discov. Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet
2024	J	`jnl`	On GNN explanability with activation rules. CoRR Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet
2024	A	`conf`	Transparent Explainable Logic Layers. ECAI Alessio Ragno, Marc Plantevit, Céline Robardet, Roberto Capobianco
2023	B	`conf`	Electricity Price Forecasting based on Order Books: a differentiable optimization approach. DSAA Léonard Tschora, Tias Guns, Erwan Pierre, Marc Plantevit, Céline Robardet
2023	B	`conf`	Forecasting Electricity Prices: An Optimize Then Predict-Based Approach. IDA Léonard Tschora, Erwan Pierre, Marc Plantevit, Céline Robardet
2023	—	`conf`	Game Theoretic Explanations for Graph Neural Networks. PKDD/ECML Workshops (3) Ataollah Kamal, Céline Robardet, Marc Plantevit
2023	J	`jnl`	Graph model selection by edge probability prequential inference. J. Complex Networks Louis Duvivier, Rémy Cazabet, Céline Robardet
2023	A	`conf`	Improving the non-urgent sanitary transportation. ICCAD Timothée Chane-Haï, Samuel Vercraene, Céline Robardet, Thibaud Monteiro
2023	J	`jnl`	Methods for explaining Top-N recommendations through subgroup discovery. Data Min. Knowl. Discov. Mouloud Iferroudjene, Corentin Lonjarret, Céline Robardet, Marc Plantevit, Martin Atzmueller
2023	—	`ed.`	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. KDID Bart Goethals, Céline Robardet, Arno Siebes
2023	—	`conf`	Temporal and Geographical Analysis of Real Economic Activities in the Bitcoin Blockchain. PKDD/ECML Workshops (5) Rafael Ramos Tubino, Rémy Cazabet, Natkamon Tovanich, Céline Robardet
2023	J	`jnl`	Temporal and Geographical Analysis of Real Economic Activities in the Bitcoin Blockchain. CoRR Rafael Ramos Tubino, Rémy Cazabet, Natkamon Tovanich, Céline Robardet
2023	—	`conf`	Using Graph Neural Networks for the Detection and Explanation of Network Intrusions. PKDD/ECML Workshops (3) Ahmed Rafik El-Mehdi Baahmed, Giuseppina Andresini, Céline Robardet, Annalisa Appice
2022	—	`conf`	Discovering and Visualizing Tactics in a Table Tennis Game Based on Subgroup Discovery. MLSA@PKDD/ECML Pierre Duluard, Xinqing Li, Marc Plantevit, Céline Robardet, Romain Vuillemot
2022	—	`conf`	Découverte de sous-groupes de prédictions interprétables pour le triage d'incidents. EGC Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue
2022	—	`conf`	Improving the Quality of Rule-Based GNN Explanations. PKDD/ECML Workshops (1) Ataollah Kamal, Elouan Vincent, Marc Plantevit, Céline Robardet
2022	J	`jnl`	In pursuit of the hidden features of GNN's internal representations. Data Knowl. Eng. Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet
2022	—	`conf`	Qu'est-ce que mon GNN capture vraiment ? Exploration des représentations internes d'un GNN. EGC Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet
2022	J	`jnl`	Towards a better identification of Bitcoin actors by supervised learning. Data Knowl. Eng. Rafael Ramos Tubino, Céline Robardet, Rémy Cazabet
2022	—	`conf`	Vers une meilleure identification d'acteurs de Bitcoin par apprentissage supervisé. EGC Rafael Ramos Tubino, Rémy Cazabet, Céline Robardet
2022	A*	`conf`	What Does My GNN Really Capture? On Exploring Internal GNN Representations. IJCAI Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet
2021	J	`jnl`	Edge based stochastic block model statistical inference. CoRR Louis Duvivier, Rémy Cazabet, Céline Robardet
2021	J	`jnl`	Graph model selection by edge probability sequential inference. CoRR Louis Duvivier, Rémy Cazabet, Céline Robardet
2021	J	`jnl`	Graph space: using both geometric and probabilistic structure to evaluate statistical graph models. J. Complex Networks Louis Duvivier, Rémy Cazabet, Céline Robardet
2021	J	`jnl`	Graph space: using both geometric and probabilistic structure to evaluate statistical graph models. CoRR Louis Duvivier, Rémy Cazabet, Céline Robardet
2021	B	`conf`	Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery. DSAA Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue
2021	J	`jnl`	Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery. CoRR Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue
2021	—	`conf`	Leveraging semantic for community mining in multilayer networks. Canadian AI Mohamed Benabdelkrim, Céline Robardet, Jean Savinien
2021	J	`jnl`	Sequential recommendation with metric models based on frequent sequences. Data Min. Knowl. Discov. Corentin Lonjarret, Roch Auburtin, Céline Robardet, Marc Plantevit
2021	J	`jnl`	User-Driven Geolocated Event Detection in Social Media. IEEE Trans. Knowl. Data Eng. Anes Bendimerad, Marc Plantevit, Céline Robardet, Sihem Amer-Yahia
2020	—	`conf`	Edge Based Stochastic Block Model Statistical Inference. COMPLEX NETWORKS (2) Louis Duvivier, Rémy Cazabet, Céline Robardet
2020	Misc	`conf`	Finding interest groups from Twitter lists. SAC Mohamed Benabdelkrim, Jean Savinien, Céline Robardet
2020	B	`conf`	Gibbs Sampling Subjectively Interesting Tiles. IDA Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie
2020	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I ECML/PKDD (1) Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet
2020	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II ECML/PKDD (2) Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet
2020	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part III ECML/PKDD (3) Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet
2020	J	`jnl`	SIAS-miner: mining subjectively interesting attributed subgraphs. Data Min. Knowl. Discov. Anes Bendimerad, Ahmad Mel, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie
2020	J	`jnl`	Sequential recommendation with metric models based on frequent sequences. CoRR Corentin Lonjarret, Roch Auburtin, Céline Robardet, Marc Plantevit
2020	B	`conf`	Why Should I Trust This Item? Explaining the Recommendations of any Model. DSAA Corentin Lonjarret, Céline Robardet, Marc Plantevit, Roch Auburtin, Martin Atzmueller
2019	J	`jnl`	Chemical features mining provides new descriptive structure-odor relationships. PLoS Comput. Biol. Carmen C. Licon, Guillaume Bosc, Mohammed Sabri, Marylou Mantel, Arnaud P. Fournel, Caroline Bushdid, Jérôme Golebiowski, Céline Robardet, Marc Plantevit, Mehdi Kaytoue, Moustafa Bensafi
2019	A*	`conf`	Contrastive Antichains in Hierarchies. KDD Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie
2019	—	`ed.`	ECML PKDD 2018 Workshops - MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018, Proceedings MIDAS/PAP@PKDD/ECML 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
2019	B	`conf`	FSSD - A Fast and Efficient Algorithm for Subgroup Set Discovery. DSAA Adnene Belfodil, Aimene Belfodil, Anes Bendimerad, Philippe Lamarre, Céline Robardet, Mehdi Kaytoue, Marc Plantevit
2019	—	`conf`	Minimum Entropy Stochastic Block Models Neglect Edge Distribution Heterogeneity. COMPLEX NETWORKS (1) Louis Duvivier, Céline Robardet, Rémy Cazabet
2019	J	`jnl`	Minimum entropy stochastic block models neglect edge distribution heterogeneity. CoRR Louis Duvivier, Rémy Cazabet, Céline Robardet
2019	J	`jnl`	Mining Subjectively Interesting Attributed Subgraphs. CoRR Anes Bendimerad, Ahmad Mel, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie
2019	—	`conf`	Quand les sous-groupes rencontrent les graduels : découverte de sous-groupes identifiant des corrélations exceptionnelles. EGC Mohamed-Ali Hammal, Céline Robardet, Marc Plantevit
2019	J	`jnl`	Rank correlated subgroup discovery. J. Intell. Inf. Syst. Mohamed-Ali Hammal, Hélène Mathian, Luc Merchez, Marc Plantevit, Céline Robardet
2019	—	`conf`	Recommandation séquentielle à base de séquences fréquentes. EGC Corentin Lonjarret, Marc Plantevit, Céline Robardet, Roch Auburtin
2019	Misc	`conf`	Sampling Rank Correlated Subgroups. DCAI Mohamed-Ali Hammal, Bernardo A. Abreu, Marc Plantevit, Céline Robardet
2018	B	`conf`	Exceptional Attributed Subgraph Mining to Understand the Olfactory Percept. DS Maëlle Moranges, Marc Plantevit, Arnaud P. Fournel, Moustafa Bensafi, Céline Robardet
2018	J	`jnl`	Mining exceptional closed patterns in attributed graphs. Knowl. Inf. Syst. Ahmed Anes Bendimerad, Marc Plantevit, Céline Robardet
2017	—	`conf`	Contextual Subgraph Discovery with Mobility Models. COMPLEX NETWORKS Ahmed Anes Bendimerad, Rémy Cazabet, Marc Plantevit, Céline Robardet
2017	J	`jnl`	Exceptional contextual subgraph mining. Mach. Learn. Mehdi Kaytoue, Marc Plantevit, Albrecht Zimmermann, Ahmed Anes Bendimerad, Céline Robardet
2017	A*	`conf`	Mining Convex Polygon Patterns with Formal Concept Analysis. IJCAI Aimene Belfodil, Sergei O. Kuznetsov, Céline Robardet, Mehdi Kaytoue
2017	—	`conf`	Mining the Lattice of Binary Classifiers for Identifying Duplicate Labels in Behavioral Data. IEA/AIE (2) Quentin Labernia, Víctor Codocedo, Céline Robardet, Mehdi Kaytoue
2016	—	`conf`	Découverte de labels dupliqués par l'exploration du treillis des classifieurs binaires. EGC Quentin Labernia, Víctor Codocedo, Mehdi Kaytoue, Céline Robardet
2016	J	`jnl`	Extraction of Temporal Network Structures From Graph-Based Signals. IEEE Trans. Signal Inf. Process. over Networks Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet
2016	J	`jnl`	Graph dependency construction based on interval-event dependencies detection in data streams. Intell. Data Anal. Marc Plantevit, Céline Robardet, Vasile-Marian Scuturici
2016	J	`jnl`	Guest editors' introduction to the EcmlPkdd 2016 journal track special issue of Machine Learning. Data Min. Knowl. Discov. Thomas Gärtner, Mirco Nanni, Andrea Passerini, Céline Robardet
2016	J	`jnl`	Guest editors' introduction to the EcmlPkdd 2016 journal track special issue of Machine Learning. Mach. Learn. Thomas Gärtner, Mirco Nanni, Andrea Passerini, Céline Robardet
2016	—	`conf`	Local Pattern Detection in Attributed Graphs. Solving Large Scale Learning Tasks Jean-François Boulicaut, Marc Plantevit, Céline Robardet
2016	B	`conf`	Local Subgroup Discovery for Eliciting and Understanding New Structure-Odor Relationships. DS Guillaume Bosc, Jérôme Golebiowski, Moustafa Bensafi, Céline Robardet, Marc Plantevit, Jean-François Boulicaut, Mehdi Kaytoue
2016	J	`jnl`	Relabelling vertices according to the network structure by minimizing the cyclic bandwidth sum. J. Complex Networks Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet
2016	—	`conf`	Une méthode de découverte de motifs contextualisés dans les traces de mobilité d'une personne. EGC Aimene Belfodil, Mehdi Kaytoue, Céline Robardet, Marc Plantevit, Julien Zarka
2016	A*	`conf`	Unsupervised Exceptional Attributed Sub-Graph Mining in Urban Data. ICDM Ahmed Anes Bendimerad, Marc Plantevit, Céline Robardet
2015	J	`jnl`	Duality between Temporal Networks and Signals: Extraction of the Temporal Network Structures. CoRR Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet
2015	J	`jnl`	From graphs to signals and back: Identification of network structures using spectral analysis. CoRR Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet
2015	—	`conf`	Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams. ECML/PKDD (3) Pierre Houdyer, Albrecht Zimmermann, Mehdi Kaytoue, Marc Plantevit, Joseph Mitchell, Céline Robardet
2015	—	`conf`	Profiling Users of the Velo'v Bike Sharing System. MUD@ICML Albrecht Zimmermann, Mehdi Kaytoue, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
2015	J	`jnl`	What effects topological changes in dynamic graphs? - Elucidating relationships between vertex attributes and the graph structure. Soc. Netw. Anal. Min. Mehdi Kaytoue, Yoann Pitarch, Marc Plantevit, Céline Robardet
2014	B	`conf`	Granularity of Co-evolution Patterns in Dynamic Attributed Graphs. IDA Elise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
2014	J	`jnl`	Heuristic for solving cyclic bandwidth sum problem by following the structure of the graph. CoRR Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet
2014	Misc	`conf`	Nonnegative matrix factorization to find features in temporal networks. ICASSP Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet
2014	—	`conf`	Temporal Dependency Detection Between Interval-Based Event Sequences. NFMCP Marc Plantevit, Vasile-Marian Scuturici, Céline Robardet
2014	B	`conf`	Triggering patterns of topology changes in dynamic graphs. ASONAM Mehdi Kaytoue, Yoann Pitarch, Marc Plantevit, Céline Robardet
2013	J	`jnl`	Mining Graph Topological Patterns: Finding Covariations among Vertex Descriptors. IEEE Trans. Knowl. Data Eng. Adriana Prado, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
2013	—	`conf`	Networks as signals, with an application to a bike sharing system. GlobalSIP Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet
2013	J	`jnl`	Parameter-less co-clustering for star-structured heterogeneous data. Data Min. Knowl. Discov. Dino Ienco, Céline Robardet, Ruggero G. Pensa, Rosa Meo
2013	—	`conf`	Trend Mining in Dynamic Attributed Graphs. ECML/PKDD (1) Elise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
2013	A*	`conf`	When TEDDY meets GrizzLY: temporal dependency discovery for triggering road deicing operations. KDD Céline Robardet, Vasile-Marian Scuturici, Marc Plantevit, Antoine Fraboulet
2012	J	`jnl`	An inductive database system based on virtual mining views. Data Min. Knowl. Discov. Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet
2012	B	`conf`	Cohesive Co-evolution Patterns in Dynamic Attributed Graphs. Discovery Science Elise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
2012	J	`jnl`	Complex Systems Science: Dreams of Universality, Reality of Interdisciplinarity CoRR Sebastian Grauwin, Guillaume Beslon, Eric Fleury, Sara Franceschelli, Céline Robardet, Jean-Baptiste Rouquier, Pablo Jensen
2012	J	`jnl`	Complex systems science: Dreams of universality, interdisciplinarity reality. J. Assoc. Inf. Sci. Technol. Sebastian Grauwin, Guillaume Beslon, Eric Fleury, Sara Franceschelli, Céline Robardet, Jean-Baptiste Rouquier, Pablo Jensen
2012	—	`conf`	Extraction de co-variations entre des propriétés de sommets et leur position topologique dans un graphe attribué. EGC Adriana Prado, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
2012	—	`conf`	Supporting the Discovery of Relevant Topological Patterns in Attributed Graphs. ICDM Workshops Julien Salotti, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
2011	J	`jnl`	Shared Bicycles in a City: a Signal Processing and Data Analysis Perspective. Adv. Complex Syst. Pierre Borgnat, Patrice Abry, Patrick Flandrin, Céline Robardet, Jean-Baptiste Rouquier, Eric Fleury
2010	—	`ch.`	A Practical Comparative Study Of Data Mining Query Languages. Inductive Databases and Constraint-Based Data Mining Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet
2010	J	`jnl`	Characterizing the speed and paths of shared bicycles in Lyon CoRR Pablo Jensen, Jean-Baptiste Rouquier, Nicolas Ovtracht, Céline Robardet
2010	—	`ch.`	Inductive Querying with Virtual Mining Views. Inductive Databases and Constraint-Based Data Mining Hendrik Blockeel, Toon Calders, Élisa Fromont, Adriana Prado, Bart Goethals, Céline Robardet
2009	A	`conf`	A New Constraint for Mining Sets in Sequences. SDM Boris Cule, Bart Goethals, Céline Robardet
2009	B	`ed.`	Advances in Intelligent Data Analysis VIII, 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009. Proceedings IDA Niall M. Adams, Céline Robardet, Arno Siebes, Jean-François Boulicaut
2009	—	`conf`	Characteristics of the Dynamic of Mobile Networks. BIONETICS Pierre Borgnat, Eric Fleury, Jean-Loup Guillaume, Céline Robardet
2009	J	`jnl`	Closed patterns meet ACM Trans. Knowl. Discov. Data Loïc Cerf, Jérémy Besson, Céline Robardet, Jean-François Boulicaut
2009	J	`jnl`	Communities detection and the analysis of their dynamics in collaborative networks. Int. J. Web Based Communities Céline Robardet, Eric Fleury
2009	A*	`conf`	Constraint-Based Pattern Mining in Dynamic Graphs. ICDM Céline Robardet
2009	A	`conf`	Constraint-Based Subspace Clustering. SDM Élisa Fromont, Adriana Prado, Céline Robardet
2008	—	`conf`	A methodology to identify characteristics of the dynamic of mobile networks. AINTEC Antoine Scherrer, Pierre Borgnat, Eric Fleury, Jean-Loup Guillaume, Céline Robardet
2008	A*	`conf`	An inductive database prototype based on virtual mining views. KDD Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet
2008	A	`conf`	Data Peeler: Contraint-Based Closed Pattern Mining in n-ary Relations. SDM Loïc Cerf, Jérémy Besson, Céline Robardet, Jean-François Boulicaut
2008	J	`jnl`	Description and simulation of dynamic mobility networks. Comput. Networks Antoine Scherrer, Pierre Borgnat, Eric Fleury, Jean-Loup Guillaume, Céline Robardet
2008	J	`jnl`	SQUAT: A web tool to mine human, murine and avian SAGE data. BMC Bioinform. Johan Leyritz, Stéphane Schicklin, Sylvain Blachon, Céline Keime, Céline Robardet, Jean-François Boulicaut, Jérémy Besson, Ruggero G. Pensa, Olivier Gandrillon
2007	B	`conf`	A New Way to Aggregate Preferences: Application to Eurovision Song Contests. IDA Jérémy Besson, Céline Robardet
2007	—	`conf`	Analysis of Dynamic Sensor Networks: Power Law Then What? COMSWARE Eric Fleury, Jean-Loup Guillaume, Céline Robardet, Antoine Scherrer
2007	J	`jnl`	Clustering Formal Concepts to Discover Biologically Relevant Knowledge from Gene Expression Data. Silico Biol. Sylvain Blachon, Ruggero G. Pensa, Jérémy Besson, Céline Robardet, Jean-François Boulicaut, Olivier Gandrillon
2007	—	`conf`	Communities detection and analysis of their dynamics in collaborative networks. ICDIM Manel Ben Jdidia, Céline Robardet, Eric Fleury
2007	—	`conf`	Evolving networks. NATO ASI Mining Massive Data Sets for Security Pierre Borgnat, Eric Fleury, Jean-Loup Guillaume, Clémence Magnien, Céline Robardet, Antoine Scherrer
2006	—	`conf`	Mining Bi-sets in Numerical Data. KDID Jérémy Besson, Céline Robardet, Luc De Raedt, Jean-François Boulicaut
2006	Misc	`conf`	Mining a New Fault-Tolerant Pattern Type as an Alternative to Formal Concept Discovery. ICCS Jérémy Besson, Céline Robardet, Jean-François Boulicaut
2006	J	`jnl`	Supporting bi-cluster interpretation in 0/1 data by means of local patterns. Intell. Data Anal. Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut
2006	C	`conf`	Towards Constrained Co-clustering in Ordered 0/1 Data Sets. ISMIS Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut
2005	—	`conf`	A Bi-clustering Framework for Categorical Data. PKDD Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut
2005	—	`conf`	Approximation de collections de concepts formels par des bi-ensembles denses et pertinents. CAP Jérémy Besson, Céline Robardet, Jean-François Boulicaut
2005	—	`conf`	Constraint-Based Mining of Fault-Tolerant Patterns from Boolean Data. KDID Jérémy Besson, Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut
2005	J	`jnl`	Constraint-based concept mining and its application to microarray data analysis. Intell. Data Anal. Jérémy Besson, Céline Robardet, Jean-François Boulicaut, Sophie Rome
2005	J	`jnl`	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. Hédi Soula, Céline Robardet, François Perrin, Sébastien Gripon, Guillaume Beslon, Olivier Gandrillon
2004	B	`conf`	Constraint-Based Mining of Formal Concepts in Transactional Data. PAKDD Jérémy Besson, Céline Robardet, Jean-François Boulicaut
2004	—	`conf`	Contribution to Gene Expression Data Analysis by Means of Set Pattern Mining. Constraint-Based Mining and Inductive Databases Ruggero G. Pensa, Jérémy Besson, Céline Robardet, Jean-François Boulicaut
2004	—	`conf`	Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data. KDID Jérémy Besson, Céline Robardet, Jean-François Boulicaut
2004	Misc	`conf`	Optimizing subset queries: a step towards SQL-based inductive databases for itemsets. SAC Cyrille Masson, Céline Robardet, Jean-François Boulicaut
2004	—	`conf`	Pattern management challenges. PaRMa Panos Vassiliadis, Barbara Catania, Daniel A. Keim, Yannis Theodoridis, Céline Robardet
2004	—	`conf`	Using Classification and Visualization on Pattern Databases for Gene Expression Data Analysis. PaRMa Céline Robardet, Ruggero G. Pensa, Jérémy Besson, Jean-François Boulicaut
2003	—	`conf`	Mining Concepts from Large SAGE Gene Expression Matrices. KDID François Rioult, Céline Robardet, Sylvain Blachon, Bruno Crémilleux, Olivier Gandrillon, Jean-François Boulicaut
2002	J	`jnl`	Etude de méthodes de recherche locale pour la construction de bipartitions. Rev. d'Intelligence Artif. Céline Robardet, Christophe Rigotti
2001	—	`conf`	A Preliminary Study of a New Classification to Build Homogeneous Patient's Groups in Home-Based Care. ICEIS (1) Céline Robardet, Christine Verdier
2001	—	`conf`	Comparison of Three Objective Functions for Conceptual Clustering. PKDD Céline Robardet, Fabien Feschet
2001	B	`conf`	Efficient Local Search in Conceptual Clustering. Discovery Science Céline Robardet, Fabien Feschet
2000	C	`conf`	A New Methodology to Compare Clustering Algorithms. IDEAL Céline Robardet, Fabien Feschet
2000	—	`conf`	An Experimental Study of Partition Quality Indices in Clustering. PKDD Céline Robardet, Fabien Feschet, Nicolas Nicoloyannis