A New Methodology to Compare Clustering Algorithms. - Céline Robardet; Fabien Feschet (IDEAL, 2000)

An Experimental Study of Partition Quality Indices in Clustering. - Céline Robardet; Fabien Feschet; Nicolas Nicoloyannis (PKDD, 2000)

Efficient Local Search in Conceptual Clustering. - Céline Robardet; Fabien Feschet (Discovery Science, 2001)

A Preliminary Study of a New Classification to Build Homogeneous Patient's Groups in Home-Based Care. - Céline Robardet; Christine Verdier (ICEIS (1), 2001)

Comparison of Three Objective Functions for Conceptual Clustering. - Céline Robardet; Fabien Feschet (PKDD, 2001)

Etude de méthodes de recherche locale pour la construction de bipartitions. - Céline Robardet; Christophe Rigotti (Rev. d'Intelligence Artif., 2002)

Mining Concepts from Large SAGE Gene Expression Matrices. - François Rioult; Céline Robardet; Sylvain Blachon; Bruno Crémilleux; Olivier Gandrillon; Jean-François Boulicaut (KDID, 2003)

Contribution to Gene Expression Data Analysis by Means of Set Pattern Mining. - Ruggero G. Pensa; Jérémy Besson; Céline Robardet; Jean-François Boulicaut (Constraint-Based Mining and Inductive Databases, 2004)

Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data. - Jérémy Besson; Céline Robardet; Jean-François Boulicaut (KDID, 2004)

Constraint-Based Mining of Formal Concepts in Transactional Data. - Jérémy Besson; Céline Robardet; Jean-François Boulicaut (PAKDD, 2004)

Using Classification and Visualization on Pattern Databases for Gene Expression Data Analysis. - Céline Robardet; Ruggero G. Pensa; Jérémy Besson; Jean-François Boulicaut (PaRMa, 2004)

Pattern management challenges. - Panos Vassiliadis; Barbara Catania; Daniel A. Keim; Yannis Theodoridis; Céline Robardet (PaRMa, 2004)

Optimizing subset queries: a step towards SQL-based inductive databases for itemsets. - Cyrille Masson; Céline Robardet; Jean-François Boulicaut (SAC, 2004)

Approximation de collections de concepts formels par des bi-ensembles denses et pertinents. - Jérémy Besson; Céline Robardet; Jean-François Boulicaut (CAP, 2005)

Constraint-Based Mining of Fault-Tolerant Patterns from Boolean Data. - Jérémy Besson; Ruggero G. Pensa; Céline Robardet; Jean-François Boulicaut (KDID, 2005)

A Bi-clustering Framework for Categorical Data. - Ruggero G. Pensa; Céline Robardet; Jean-François Boulicaut (PKDD, 2005)

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; François Perrin; Sébastien Gripon; Guillaume Beslon; Olivier Gandrillon (BMC Bioinform., 2005)

Constraint-based concept mining and its application to microarray data analysis. - Jérémy Besson; Céline Robardet; Jean-François Boulicaut; Sophie Rome (Intell. Data Anal., 2005)

Mining a New Fault-Tolerant Pattern Type as an Alternative to Formal Concept Discovery. - Jérémy Besson; Céline Robardet; Jean-François Boulicaut (ICCS, 2006)

Towards Constrained Co-clustering in Ordered 0/1 Data Sets. - Ruggero G. Pensa; Céline Robardet; Jean-François Boulicaut (ISMIS, 2006)

Mining Bi-sets in Numerical Data. - Jérémy Besson; Céline Robardet; Luc De Raedt; Jean-François Boulicaut (KDID, 2006)

Supporting bi-cluster interpretation in 0/1 data by means of local patterns. - Ruggero G. Pensa; Céline Robardet; Jean-François Boulicaut (Intell. Data Anal., 2006)

Analysis of Dynamic Sensor Networks: Power Law Then What? - Eric Fleury; Jean-Loup Guillaume; Céline Robardet; Antoine Scherrer (COMSWARE, 2007)

Communities detection and analysis of their dynamics in collaborative networks. - Manel Ben Jdidia; Céline Robardet; Eric Fleury (ICDIM, 2007)

A New Way to Aggregate Preferences: Application to Eurovision Song Contests. - Jérémy Besson; Céline Robardet (IDA, 2007)

Evolving networks. - Pierre Borgnat; Eric Fleury; Jean-Loup Guillaume; Clémence Magnien; Céline Robardet; Antoine Scherrer (NATO ASI Mining Massive Data Sets for Security, 2007)

Clustering Formal Concepts to Discover Biologically Relevant Knowledge from Gene Expression Data. - Sylvain Blachon; Ruggero G. Pensa; Jérémy Besson; Céline Robardet; Jean-François Boulicaut; Olivier Gandrillon (Silico Biol., 2007)

A methodology to identify characteristics of the dynamic of mobile networks. - Antoine Scherrer; Pierre Borgnat; Eric Fleury; Jean-Loup Guillaume; Céline Robardet (AINTEC, 2008)

An inductive database prototype based on virtual mining views. - Hendrik Blockeel; Toon Calders; Élisa Fromont; Bart Goethals; Adriana Prado; Céline Robardet (KDD, 2008)

Data Peeler: Contraint-Based Closed Pattern Mining in n-ary Relations. - Loïc Cerf; Jérémy Besson; Céline Robardet; Jean-François Boulicaut (SDM, 2008)

SQUAT: A web tool to mine human, murine and avian SAGE data. - Johan Leyritz; Stéphane Schicklin; Sylvain Blachon; Céline Keime; Céline Robardet; Jean-François Boulicaut; Jérémy Besson; Ruggero G. Pensa; Olivier Gandrillon (BMC Bioinform., 2008)

Description and simulation of dynamic mobility networks. - Antoine Scherrer; Pierre Borgnat; Eric Fleury; Jean-Loup Guillaume; Céline Robardet (Comput. Networks, 2008)

Characteristics of the Dynamic of Mobile Networks. - Pierre Borgnat; Eric Fleury; Jean-Loup Guillaume; Céline Robardet (BIONETICS, 2009)

Constraint-Based Pattern Mining in Dynamic Graphs. - Céline Robardet (ICDM, 2009)

A New Constraint for Mining Sets in Sequences. - Boris Cule; Bart Goethals; Céline Robardet (SDM, 2009)

Constraint-Based Subspace Clustering. - Élisa Fromont; Adriana Prado; Céline Robardet (SDM, 2009)

Communities detection and the analysis of their dynamics in collaborative networks. - Céline Robardet; Eric Fleury (Int. J. Web Based Communities, 2009)

Closed patterns meet n-ary relations. - Loïc Cerf; Jérémy Besson; Céline Robardet; Jean-François Boulicaut (ACM Trans. Knowl. Discov. Data, 2009)

A Practical Comparative Study Of Data Mining Query Languages. - Hendrik Blockeel; Toon Calders; Élisa Fromont; Bart Goethals; Adriana Prado; Céline Robardet (Inductive Databases and Constraint-Based Data Mining, 2010)

Inductive Querying with Virtual Mining Views. - Hendrik Blockeel; Toon Calders; Élisa Fromont; Adriana Prado; Bart Goethals; Céline Robardet (Inductive Databases and Constraint-Based Data Mining, 2010)

Characterizing the speed and paths of shared bicycles in Lyon - Pablo Jensen; Jean-Baptiste Rouquier; Nicolas Ovtracht; Céline Robardet (CoRR, 2010)

Shared Bicycles in a City: a Signal Processing and Data Analysis Perspective. - Pierre Borgnat; Patrice Abry; Patrick Flandrin; Céline Robardet; Jean-Baptiste Rouquier; Eric Fleury (Adv. Complex Syst., 2011)

Cohesive Co-evolution Patterns in Dynamic Attributed Graphs. - Elise Desmier; Marc Plantevit; Céline Robardet; Jean-François Boulicaut (Discovery Science, 2012)

Extraction de co-variations entre des propriétés de sommets et leur position topologique dans un graphe attribué. - Adriana Prado; Marc Plantevit; Céline Robardet; Jean-François Boulicaut (EGC, 2012)

Supporting the Discovery of Relevant Topological Patterns in Attributed Graphs. - Julien Salotti; Marc Plantevit; Céline Robardet; Jean-François Boulicaut (ICDM Workshops, 2012)

Complex Systems Science: Dreams of Universality, Reality of Interdisciplinarity - Sebastian Grauwin; Guillaume Beslon; Eric Fleury; Sara Franceschelli; Céline Robardet; Jean-Baptiste Rouquier; Pablo Jensen (CoRR, 2012)

An inductive database system based on virtual mining views. - Hendrik Blockeel; Toon Calders; Élisa Fromont; Bart Goethals; Adriana Prado; Céline Robardet (Data Min. Knowl. Discov., 2012)

Complex systems science: Dreams of universality, interdisciplinarity reality. - Sebastian Grauwin; Guillaume Beslon; Eric Fleury; Sara Franceschelli; Céline Robardet; Jean-Baptiste Rouquier; Pablo Jensen (J. Assoc. Inf. Sci. Technol., 2012)

Networks as signals, with an application to a bike sharing system. - Ronan Hamon; Pierre Borgnat; Patrick Flandrin; Céline Robardet (GlobalSIP, 2013)

When TEDDY meets GrizzLY: temporal dependency discovery for triggering road deicing operations. - Céline Robardet; Vasile-Marian Scuturici; Marc Plantevit; Antoine Fraboulet (KDD, 2013)

Trend Mining in Dynamic Attributed Graphs. - Elise Desmier; Marc Plantevit; Céline Robardet; Jean-François Boulicaut (ECML/PKDD (1), 2013)

Parameter-less co-clustering for star-structured heterogeneous data. - Dino Ienco; Céline Robardet; Ruggero G. Pensa; Rosa Meo (Data Min. Knowl. Discov., 2013)

Mining Graph Topological Patterns: Finding Covariations among Vertex Descriptors. - Adriana Prado; Marc Plantevit; Céline Robardet; Jean-François Boulicaut (IEEE Trans. Knowl. Data Eng., 2013)

Triggering patterns of topology changes in dynamic graphs. - Mehdi Kaytoue; Yoann Pitarch; Marc Plantevit; Céline Robardet (ASONAM, 2014)

Nonnegative matrix factorization to find features in temporal networks. - Ronan Hamon; Pierre Borgnat; Patrick Flandrin; Céline Robardet (ICASSP, 2014)

Granularity of Co-evolution Patterns in Dynamic Attributed Graphs. - Elise Desmier; Marc Plantevit; Céline Robardet; Jean-François Boulicaut (IDA, 2014)

Temporal Dependency Detection Between Interval-Based Event Sequences. - Marc Plantevit; Vasile-Marian Scuturici; Céline Robardet (NFMCP, 2014)

Heuristic for solving cyclic bandwidth sum problem by following the structure of the graph. - Ronan Hamon; Pierre Borgnat; Patrick Flandrin; Céline Robardet (CoRR, 2014)

Profiling Users of the Velo'v Bike Sharing System. - Albrecht Zimmermann; Mehdi Kaytoue; Marc Plantevit; Céline Robardet; Jean-François Boulicaut (MUD@ICML, 2015)

Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media Streams. - Pierre Houdyer; Albrecht Zimmermann; Mehdi Kaytoue; Marc Plantevit; Joseph Mitchell; Céline Robardet (ECML/PKDD (3), 2015)

From graphs to signals and back: Identification of network structures using spectral analysis. - Ronan Hamon; Pierre Borgnat; Patrick Flandrin; Céline Robardet (CoRR, 2015)

Duality between Temporal Networks and Signals: Extraction of the Temporal Network Structures. - Ronan Hamon; Pierre Borgnat; Patrick Flandrin; Céline Robardet (CoRR, 2015)

What effects topological changes in dynamic graphs? - Elucidating relationships between vertex attributes and the graph structure. - Mehdi Kaytoue; Yoann Pitarch; Marc Plantevit; Céline Robardet (Soc. Netw. Anal. Min., 2015)

Local Pattern Detection in Attributed Graphs. - Jean-François Boulicaut; Marc Plantevit; Céline Robardet (Solving Large Scale Learning Tasks, 2016)

Local Subgroup Discovery for Eliciting and Understanding New Structure-Odor Relationships. - Guillaume Bosc; Jérôme Golebiowski; Moustafa Bensafi; Céline Robardet; Marc Plantevit; Jean-François Boulicaut; Mehdi Kaytoue (DS, 2016)

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 (EGC, 2016)

Découverte de labels dupliqués par l'exploration du treillis des classifieurs binaires. - Quentin Labernia; Víctor Codocedo; Mehdi Kaytoue; Céline Robardet (EGC, 2016)

Unsupervised Exceptional Attributed Sub-Graph Mining in Urban Data. - Ahmed Anes Bendimerad; Marc Plantevit; Céline Robardet (ICDM, 2016)

Relabelling vertices according to the network structure by minimizing the cyclic bandwidth sum. - Ronan Hamon; Pierre Borgnat; Patrick Flandrin; Céline Robardet (J. Complex Networks, 2016)

Graph dependency construction based on interval-event dependencies detection in data streams. - Marc Plantevit; Céline Robardet; Vasile-Marian Scuturici (Intell. Data Anal., 2016)

Guest editors' introduction to the EcmlPkdd 2016 journal track special issue of Machine Learning. - Thomas Gärtner 001; Mirco Nanni; Andrea Passerini; Céline Robardet (Mach. Learn., 2016)

Extraction of Temporal Network Structures From Graph-Based Signals. - Ronan Hamon; Pierre Borgnat; Patrick Flandrin; Céline Robardet (IEEE Trans. Signal Inf. Process. over Networks, 2016)

Contextual Subgraph Discovery with Mobility Models. - Ahmed Anes Bendimerad; Rémy Cazabet; Marc Plantevit; Céline Robardet (COMPLEX NETWORKS, 2017)

Mining the Lattice of Binary Classifiers for Identifying Duplicate Labels in Behavioral Data. - Quentin Labernia; Víctor Codocedo; Céline Robardet; Mehdi Kaytoue (IEA/AIE (2), 2017)

Mining Convex Polygon Patterns with Formal Concept Analysis. - Aimene Belfodil; Sergei O. Kuznetsov; Céline Robardet; Mehdi Kaytoue (IJCAI, 2017)

Exceptional contextual subgraph mining. - Mehdi Kaytoue; Marc Plantevit; Albrecht Zimmermann; Ahmed Anes Bendimerad; Céline Robardet (Mach. Learn., 2017)

Exceptional Attributed Subgraph Mining to Understand the Olfactory Percept. - Maëlle Moranges; Marc Plantevit; Arnaud P. Fournel; Moustafa Bensafi; Céline Robardet (DS, 2018)

Mining exceptional closed patterns in attributed graphs. - Ahmed Anes Bendimerad; Marc Plantevit; Céline Robardet (Knowl. Inf. Syst., 2018)

Minimum Entropy Stochastic Block Models Neglect Edge Distribution Heterogeneity. - Louis Duvivier; Céline Robardet; Rémy Cazabet (COMPLEX NETWORKS (1), 2019)

Sampling Rank Correlated Subgroups. - Mohamed-Ali Hammal; Bernardo A. Abreu; Marc Plantevit; Céline Robardet (DCAI, 2019)

FSSD - A Fast and Efficient Algorithm for Subgroup Set Discovery. - Adnene Belfodil; Aimene Belfodil; Anes Bendimerad; Philippe Lamarre; Céline Robardet; Mehdi Kaytoue; Marc Plantevit (DSAA, 2019)

Quand les sous-groupes rencontrent les graduels : découverte de sous-groupes identifiant des corrélations exceptionnelles. - Mohamed-Ali Hammal; Céline Robardet; Marc Plantevit (EGC, 2019)

Recommandation séquentielle à base de séquences fréquentes. - Corentin Lonjarret; Marc Plantevit; Céline Robardet; Roch Auburtin (EGC, 2019)

Contrastive Antichains in Hierarchies. - Anes Bendimerad; Jefrey Lijffijt; Marc Plantevit; Céline Robardet; Tijl De Bie (KDD, 2019)

Mining Subjectively Interesting Attributed Subgraphs. - Anes Bendimerad; Ahmad Mel; Jefrey Lijffijt; Marc Plantevit; Céline Robardet; Tijl De Bie (CoRR, 2019)

Rank correlated subgroup discovery. - Mohamed-Ali Hammal; Hélène Mathian; Luc Merchez; Marc Plantevit; Céline Robardet (J. Intell. Inf. Syst., 2019)

Chemical features mining provides new descriptive structure-odor relationships. - Carmen C. Licon; Guillaume Bosc; Mohammed Sabri; Marylou Mantel; Arnaud P. Fournel; Caroline Bushdid; Jérôme Golebiowski; Céline Robardet; Marc Plantevit; Mehdi Kaytoue; Moustafa Bensafi (PLoS Comput. Biol., 2019)

Edge Based Stochastic Block Model Statistical Inference. - Louis Duvivier; Rémy Cazabet; Céline Robardet (COMPLEX NETWORKS (2), 2020)

Why Should I Trust This Item? Explaining the Recommendations of any Model. - Corentin Lonjarret; Céline Robardet; Marc Plantevit; Roch Auburtin; Martin Atzmueller (DSAA, 2020)

Gibbs Sampling Subjectively Interesting Tiles. - Anes Bendimerad; Jefrey Lijffijt; Marc Plantevit; Céline Robardet; Tijl De Bie (IDA, 2020)

Finding interest groups from Twitter lists. - Mohamed Benabdelkrim; Jean Savinien; Céline Robardet (SAC, 2020)

SIAS-miner: mining subjectively interesting attributed subgraphs. - Anes Bendimerad; Ahmad Mel; Jefrey Lijffijt; Marc Plantevit; Céline Robardet; Tijl De Bie (Data Min. Knowl. Discov., 2020)

Leveraging semantic for community mining in multilayer networks. - Mohamed Benabdelkrim; Céline Robardet; Jean Savinien (Canadian AI, 2021)

Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery. - Youcef Remil; Anes Bendimerad; Marc Plantevit; Céline Robardet; Mehdi Kaytoue (DSAA, 2021)

Graph space: using both geometric and probabilistic structure to evaluate statistical graph models. - Louis Duvivier; Rémy Cazabet; Céline Robardet (J. Complex Networks, 2021)

Graph model selection by edge probability sequential inference. - Louis Duvivier; Rémy Cazabet; Céline Robardet (CoRR, 2021)

Sequential recommendation with metric models based on frequent sequences. - Corentin Lonjarret; Roch Auburtin; Céline Robardet; Marc Plantevit (Data Min. Knowl. Discov., 2021)

User-Driven Geolocated Event Detection in Social Media. - Anes Bendimerad; Marc Plantevit; Céline Robardet; Sihem Amer-Yahia (IEEE Trans. Knowl. Data Eng., 2021)

Découverte de sous-groupes de prédictions interprétables pour le triage d'incidents. - Youcef Remil; Anes Bendimerad; Marc Plantevit; Céline Robardet; Mehdi Kaytoue (EGC, 2022)

Vers une meilleure identification d'acteurs de Bitcoin par apprentissage supervisé. - Rafael Ramos Tubino; Rémy Cazabet; Céline Robardet (EGC, 2022)

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 (EGC, 2022)

What Does My GNN Really Capture? On Exploring Internal GNN Representations. - Luca Veyrin-Forrer; Ataollah Kamal; Stefan Duffner; Marc Plantevit; Céline Robardet (IJCAI, 2022)

Discovering and Visualizing Tactics in a Table Tennis Game Based on Subgroup Discovery. - Pierre Duluard; Xinqing Li; Marc Plantevit; Céline Robardet; Romain Vuillemot (MLSA@PKDD/ECML, 2022)

Improving the Quality of Rule-Based GNN Explanations. - Ataollah Kamal; Elouan Vincent; Marc Plantevit; Céline Robardet (PKDD/ECML Workshops (1), 2022)

Towards a better identification of Bitcoin actors by supervised learning. - Rafael Ramos Tubino; Céline Robardet; Rémy Cazabet (Data Knowl. Eng., 2022)

In pursuit of the hidden features of GNN's internal representations. - Luca Veyrin-Forrer; Ataollah Kamal; Stefan Duffner; Marc Plantevit; Céline Robardet (Data Knowl. Eng., 2022)

Electricity Price Forecasting based on Order Books: a differentiable optimization approach. - Léonard Tschora; Tias Guns; Erwan Pierre; Marc Plantevit; Céline Robardet (DSAA, 2023)

Improving the non-urgent sanitary transportation. - Timothée Chane-Haï; Samuel Vercraene; Céline Robardet; Thibaud Monteiro (ICCAD, 2023)

Forecasting Electricity Prices: An Optimize Then Predict-Based Approach. - Léonard Tschora; Erwan Pierre; Marc Plantevit; Céline Robardet (IDA, 2023)

Using Graph Neural Networks for the Detection and Explanation of Network Intrusions. - Ahmed Rafik El-Mehdi Baahmed; Giuseppina Andresini; Céline Robardet; Annalisa Appice (PKDD/ECML Workshops (3), 2023)

Game Theoretic Explanations for Graph Neural Networks. - Ataollah Kamal; Céline Robardet; Marc Plantevit (PKDD/ECML Workshops (3), 2023)

Temporal and Geographical Analysis of Real Economic Activities in the Bitcoin Blockchain. - Rafael Ramos Tubino; Rémy Cazabet; Natkamon Tovanich; Céline Robardet (PKDD/ECML Workshops (5), 2023)

Methods for explaining Top-N recommendations through subgroup discovery. - Mouloud Iferroudjene; Corentin Lonjarret; Céline Robardet; Marc Plantevit; Martin Atzmueller (Data Min. Knowl. Discov., 2023)

Graph model selection by edge probability prequential inference. - Louis Duvivier; Rémy Cazabet; Céline Robardet (J. Complex Networks, 2023)

A Simple Yet Effective Interpretable Bayesian Personalized Ranking for Cognitive Diagnosis. - Arthur Batel; Idir Benouaret; Joan Fruitet; Marc Plantevit; Céline Robardet (ECAI, 2024)

Transparent Explainable Logic Layers. - Alessio Ragno; Marc Plantevit; Céline Robardet; Roberto Capobianco (ECAI, 2024)

DiffVersify: a Scalable Approach to Differentiable Pattern Mining with Coverage Regularization. - Thibaut Chataing; Julien Perez; Marc Plantevit; Céline Robardet (ECML/PKDD (6), 2024)

On GNN explanability with activation rules. - Luca Veyrin-Forrer; Ataollah Kamal; Stefan Duffner; Marc Plantevit; Céline Robardet (CoRR, 2024)

On GNN explainability with activation rules. - Luca Veyrin-Forrer; Ataollah Kamal; Stefan Duffner; Marc Plantevit; Céline Robardet (Data Min. Knowl. Discov., 2024)