Céline Robardet

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 56

Top Venues

CoRR

EGC

Data Min. Knowl. Discov.

DSAA

Publications

Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet
On GNN explanability with activation rules. CoRR (2024)
Louis Duvivier, Rémy Cazabet, Céline Robardet
Graph model selection by edge probability prequential inference. J. Complex Networks 11 (3) (2023)
Léonard Tschora, Tias Guns, Erwan Pierre, Marc Plantevit, Céline Robardet
Electricity Price Forecasting based on Order Books: a differentiable optimization approach. DSAA (2023)
Léonard Tschora, Erwan Pierre, Marc Plantevit, Céline Robardet
Forecasting Electricity Prices: An Optimize Then Predict-Based Approach. IDA (2023)
Rafael Ramos Tubino, Rémy Cazabet, Natkamon Tovanich, Céline Robardet
Temporal and Geographical Analysis of Real Economic Activities in the Bitcoin Blockchain. CoRR (2023)
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) (2023)
Timothée Chane-Haï, Samuel Vercraene, Céline Robardet, Thibaud Monteiro
Improving the non-urgent sanitary transportation. ICCAD (2023)
Rafael Ramos Tubino, Céline Robardet, Rémy Cazabet
Towards a better identification of Bitcoin actors by supervised learning. Data Knowl. Eng. 142 (2022)
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)
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)
Ataollah Kamal, Elouan Vincent, Marc Plantevit, Céline Robardet
Improving the Quality of Rule-Based GNN Explanations. PKDD/ECML Workshops (1) (2022)
Rafael Ramos Tubino, Rémy Cazabet, Céline Robardet
Vers une meilleure identification d'acteurs de Bitcoin par apprentissage supervisé. EGC (2022)
Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue
Découverte de sous-groupes de prédictions interprétables pour le triage d'incidents. EGC (2022)
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 (2022)
Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet
What Does My GNN Really Capture? On Exploring Internal GNN Representations. IJCAI (2022)
Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue
Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery. DSAA (2021)
Youcef Remil, Anes Bendimerad, Marc Plantevit, Céline Robardet, Mehdi Kaytoue
Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery. CoRR (2021)
Anes Bendimerad, Marc Plantevit, Céline Robardet, Sihem Amer-Yahia
User-Driven Geolocated Event Detection in Social Media. IEEE Trans. Knowl. Data Eng. 33 (2) (2021)
Louis Duvivier, Rémy Cazabet, Céline Robardet
Graph space: using both geometric and probabilistic structure to evaluate statistical graph models. CoRR (2021)
Corentin Lonjarret, Roch Auburtin, Céline Robardet, Marc Plantevit
Sequential recommendation with metric models based on frequent sequences. Data Min. Knowl. Discov. 35 (3) (2021)
Louis Duvivier, Rémy Cazabet, Céline Robardet
Graph model selection by edge probability sequential inference. CoRR (2021)
Mohamed Benabdelkrim, Céline Robardet, Jean Savinien
Leveraging semantic for community mining in multilayer networks. Canadian Conference on AI (2021)
Louis Duvivier, Rémy Cazabet, Céline Robardet
Edge based stochastic block model statistical inference. CoRR (2021)
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)
Corentin Lonjarret, Céline Robardet, Marc Plantevit, Roch Auburtin, Martin Atzmueller
Why Should I Trust This Item? Explaining the Recommendations of any Model. DSAA (2020)
Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie
Gibbs Sampling Subjectively Interesting Tiles. IDA (2020)
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) (2020)
Corentin Lonjarret, Roch Auburtin, Céline Robardet, Marc Plantevit
Sequential recommendation with metric models based on frequent sequences. CoRR (2020)
Louis Duvivier, Rémy Cazabet, Céline Robardet
Edge Based Stochastic Block Model Statistical Inference. COMPLEX NETWORKS (2) (2020)
Mohamed Benabdelkrim, Jean Savinien, Céline Robardet
Finding interest groups from Twitter lists. SAC (2020)
Louis Duvivier, Céline Robardet, Rémy Cazabet
Minimum Entropy Stochastic Block Models Neglect Edge Distribution Heterogeneity. COMPLEX NETWORKS (1) (2019)
Mohamed-Ali Hammal, Hélène Mathian, Luc Merchez, Marc Plantevit, Céline Robardet
Rank correlated subgroup discovery. J. Intell. Inf. Syst. 53 (2) (2019)
Mohamed-Ali Hammal, Céline Robardet, Marc Plantevit
Quand les sous-groupes rencontrent les graduels : découverte de sous-groupes identifiant des corrélations exceptionnelles. EGC (2019)
Corentin Lonjarret, Marc Plantevit, Céline Robardet, Roch Auburtin
Recommandation séquentielle à base de séquences fréquentes. EGC (2019)
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)
Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie
Contrastive Antichains in Hierarchies. KDD (2019)
Louis Duvivier, Rémy Cazabet, Céline Robardet
Minimum entropy stochastic block models neglect edge distribution heterogeneity. CoRR (2019)
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)
Mohamed-Ali Hammal, Bernardo Abreu, Marc Plantevit, Céline Robardet
Sampling Rank Correlated Subgroups. DCAI (2019)
Anes Bendimerad, Ahmad Mel, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie
Mining Subjectively Interesting Attributed Subgraphs. CoRR (2019)
Ahmed Anes Bendimerad, Marc Plantevit, Céline Robardet
Mining exceptional closed patterns in attributed graphs. Knowl. Inf. Syst. 56 (1) (2018)
Maëlle Moranges, Marc Plantevit, Arnaud P. Fournel, Moustafa Bensafi, Céline Robardet
Exceptional Attributed Subgraph Mining to Understand the Olfactory Percept. DS (2018)
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)
Mehdi Kaytoue, Marc Plantevit, Albrecht Zimmermann, Ahmed Anes Bendimerad, Céline Robardet
Exceptional contextual subgraph mining. Mach. Learn. 106 (8) (2017)
Ahmed Anes Bendimerad, Rémy Cazabet, Marc Plantevit, Céline Robardet
Contextual Subgraph Discovery with Mobility Models. COMPLEX NETWORKS (2017)
Aimene Belfodil, Sergei O. Kuznetsov, Céline Robardet, Mehdi Kaytoue
Mining Convex Polygon Patterns with Formal Concept Analysis. IJCAI (2017)
Marc Plantevit, Céline Robardet, Vasile-Marian Scuturici
Graph dependency construction based on interval-event dependencies detection in data streams. Intell. Data Anal. 20 (2) (2016)
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)
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) (2016)
Jean-François Boulicaut, Marc Plantevit, Céline Robardet
Local Pattern Detection in Attributed Graphs. Solving Large Scale Learning Tasks (2016)
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) (2016)
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)
Ahmed Anes Bendimerad, Marc Plantevit, Céline Robardet
Unsupervised Exceptional Attributed Sub-Graph Mining in Urban Data. ICDM (2016)
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) (2016)
Quentin Labernia, Víctor Codocedo, Mehdi Kaytoue, Céline Robardet
Découverte de labels dupliqués par l'exploration du treillis des classifieurs binaires. EGC (2016)
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) (2016)
Albrecht Zimmermann, Mehdi Kaytoue, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
Profiling Users of the Velo'v Bike Sharing System. MUD@ICML (2015)
Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet
Duality between Temporal Networks and Signals: Extraction of the Temporal Network Structures. CoRR (2015)
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)
Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet
From graphs to signals and back: Identification of network structures using spectral analysis. CoRR (2015)
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) (2015)
Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet
Heuristic for solving cyclic bandwidth sum problem by following the structure of the graph. CoRR (2014)
Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet
Nonnegative matrix factorization to find features in temporal networks. ICASSP (2014)
Mehdi Kaytoue, Yoann Pitarch, Marc Plantevit, Céline Robardet
Triggering patterns of topology changes in dynamic graphs. ASONAM (2014)
Marc Plantevit, Vasile-Marian Scuturici, Céline Robardet
Temporal Dependency Detection Between Interval-Based Event Sequences. NFMCP (2014)
Elise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
Granularity of Co-evolution Patterns in Dynamic Attributed Graphs. IDA (2014)
Céline Robardet, Vasile-Marian Scuturici, Marc Plantevit, Antoine Fraboulet
When TEDDY meets GrizzLY: temporal dependency discovery for triggering road deicing operations. KDD (2013)
Ronan Hamon, Pierre Borgnat, Patrick Flandrin, Céline Robardet
Networks as signals, with an application to a bike sharing system. GlobalSIP (2013)
Dino Ienco, Céline Robardet, Ruggero G. Pensa, Rosa Meo
Parameter-less co-clustering for star-structured heterogeneous data. Data Min. Knowl. Discov. 26 (2) (2013)
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) (2013)
Elise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
Trend Mining in Dynamic Attributed Graphs. ECML/PKDD (1) (2013)
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 (2012)
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)
Elise Desmier, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
Cohesive Co-evolution Patterns in Dynamic Attributed Graphs. Discovery Science (2012)
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) (2012)
Julien Salotti, Marc Plantevit, Céline Robardet, Jean-François Boulicaut
Supporting the Discovery of Relevant Topological Patterns in Attributed Graphs. ICDM Workshops (2012)
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) (2012)
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) (2011)
Pablo Jensen, Jean-Baptiste Rouquier, Nicolas Ovtracht, Céline Robardet
Characterizing the speed and paths of shared bicycles in Lyon CoRR (2010)
Boris Cule, Bart Goethals, Céline Robardet
A New Constraint for Mining Sets in Sequences. SDM (2009)
Pierre Borgnat, Eric Fleury, Jean-Loup Guillaume, Céline Robardet
Characteristics of the Dynamic of Mobile Networks. BIONETICS (2009)
Élisa Fromont, Adriana Prado, Céline Robardet
Constraint-Based Subspace Clustering. SDM (2009)
Céline Robardet
Constraint-Based Pattern Mining in Dynamic Graphs. ICDM (2009)
Céline Robardet, Eric Fleury
Communities detection and the analysis of their dynamics in collaborative networks. Int. J. Web Based Communities 5 (2) (2009)
Loïc Cerf, Jérémy Besson, Céline Robardet, Jean-François Boulicaut
-ary relations. ACM Trans. Knowl. Discov. Data 3 (1) (2009)
Antoine Scherrer, Pierre Borgnat, Eric Fleury, Jean-Loup Guillaume, Céline Robardet
Description and simulation of dynamic mobility networks. Comput. Networks 52 (15) (2008)
Hendrik Blockeel, Toon Calders, Élisa Fromont, Bart Goethals, Adriana Prado, Céline Robardet
An inductive database prototype based on virtual mining views. KDD (2008)
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)
Loïc Cerf, Jérémy Besson, Céline Robardet, Jean-François Boulicaut
Data Peeler: Contraint-Based Closed Pattern Mining in n-ary Relations. SDM (2008)
Antoine Scherrer, Pierre Borgnat, Eric Fleury, Jean-Loup Guillaume, Céline Robardet
A methodology to identify characteristics of the dynamic of mobile networks. AINTEC (2008)
Manel Ben Jdidia, Céline Robardet, Eric Fleury
Communities detection and analysis of their dynamics in collaborative networks. ICDIM (2007)
Pierre Borgnat, Eric Fleury, Jean-Loup Guillaume, Clémence Magnien, Céline Robardet, Antoine Scherrer
Evolving networks. NATO ASI Mining Massive Data Sets for Security (2007)
Jérémy Besson, Céline Robardet
A New Way to Aggregate Preferences: Application to Eurovision Song Contests. IDA (2007)
Eric Fleury, Jean-Loup Guillaume, Céline Robardet, Antoine Scherrer
Analysis of Dynamic Sensor Networks: Power Law Then What? COMSWARE (2007)
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) (2007)
Jérémy Besson, Céline Robardet, Luc De Raedt, Jean-François Boulicaut
Mining Bi-sets in Numerical Data. KDID (2006)
Ruggero G. Pensa, Céline Robardet, Jean-François Boulicaut
Towards Constrained Co-clustering in Ordered 0/1 Data Sets. ISMIS (2006)
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) (2006)
Jérémy Besson, Céline Robardet, Jean-François Boulicaut
Mining a New Fault-Tolerant Pattern Type as an Alternative to Formal Concept Discovery. ICCS (2006)
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) (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Céline Robardet