Céline Robardet
Publications
Publications
De nouveaux alliés du bien-être des animaux confrontés aux défis des transitions agroécologiques et climatiques2026 - 1ère édition des Trans Numériques, INRIA, Feb 2026, Rennes, France |
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Des réseaux de neurones sur graphes auto-explicatifs basés sur la logiqueExtraction et Gestion de Connaissances (EGC'26), Jan 2026, Anglet, France. pp.481--488 |
De nouveaux outils et algorithmes au service de la mesure du bien-être des animaux face au changement climatique – exemples chez les bovinsRéunion mensuelle du LIT Ouesterel, LIT Ouesterel, May 2025, Visioconférence, France |
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On Logic-based Self-Explainable Graph Neural NetworksThe Thirty-Ninth Annual Conference on Neural Information Processing Systems -- NeurIPS 2025, Dec 2025, San diego (Californie), United States |
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Faithful Explanations for Graph Classification Using LogicEuropean Conference on Machine Learning and Knowledge Discovery in Databases (ECMLPKDD 2025), Sep 2025, Porto, Portugal. pp.113-129, ⟨10.1007/978-3-032-06078-5_7⟩ |
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WAIT4 – un projet de recherche alliant technologies numériques et IA pour évaluer des indicateurs pertinents de bien-être pour des animaux confrontés aux défis des transitions agroécologique et climatiqueVETOTIC - Digital et santé animale, Innozh, Nov 2025, Ploufragan, France |
Diffusion for Explainable Unsupervised Anomaly DetectionThe 12th IEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2025, Birmingham, United Kingdom |
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DiffVersify: a Scalable Approach to Differentiable Pattern Mining with Coverage RegularizationMachine Learning and Knowledge Discovery in Databases, Sep 2024, Vilnius, Lithuania. pp.407 - 422, ⟨10.1007/978-3-031-70365-2_24⟩ |
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Transparent Explainable Logic LayersECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, Oct 2024, Santiago de Compostela, Spain. pp.914--921, ⟨10.3233/FAIA240579⟩ |
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A Simple Yet Effective Interpretable Bayesian Personalized Ranking for Cognitive DiagnosisECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems, Oct 2024, Santiago de Compostela, Spain. pp.2386--2393, ⟨10.3233/FAIA240764⟩ |
Game Theoretic Explanations for Graph Neural NetworksMachine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of {ECML} {PKDD} 2023, Turin, Italy, September 18-22, 2023, Revised Selected Papers, Part {III}, Sep 2023, Turin, Italy. pp.217-232, ⟨10.1007/978-3-031-74633-8\_14⟩ |
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Improving the non-urgent sanitary transportation7th International Conference on Control, Automation and Diagnosis (ICCAD 2023), May 2023, Rome, Italy. ⟨10.1109/ICCAD57653.2023.10152350⟩ |
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Using Graph Neural Networks for the Detection and Explanation of Network IntrusionsMachine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of {ECML} {PKDD} 2023, Sep 2023, Turin, Italy. pp.201--216, ⟨10.1007/978-3-031-74633-8_13⟩ |
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Forecasting Electricity Prices: An Optimize Then Predict-Based ApproachIntelligent Data Analysis 2023, Apr 2023, Louvain-la_Neuve, Belgium. pp.446-458, ⟨10.1007/978-3-031-30047-9_35⟩ |
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Temporal and Geographical Analysis of Real Economic Activities in the Bitcoin BlockchainLIMBO@ECML/PKDD 2023: International workshop on LearnIng and Mining for BlOckchains, Sep 2023, Turin, Italy. ⟨10.1007/978-3-031-74643-7_17⟩ |
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WAIT4: un projet collaboratif sur l'évaluation en dynamique du bien-être des animaux d'élevage - de la captation de la donnée à la découverte de motifs signifiants et de seuils d'alertes spécifiquesAnnual meeting - Metaprogram DIGIT-BIO Biologie numérique pour explorer et prédire le vivant, INRAE, Dec 2022, Ecully, France |
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Vers une meilleure identification d'acteurs de Bitcoin par apprentissage superviséConférence francophone sur l'Extraction et la Gestion des Connaissances (EGC 2022), Jan 2022, Blois, France. pp.171-182 |
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What Does My GNN Really Capture? On Exploring Internal GNN RepresentationsInternational Joint Conference on Artificial Intelligence 2022, Jul 2022, Vienna, Austria |
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Découverte de sous-groupes de prédictions interprétables pour le triage d'incidentsExtraction et Gestion des Connaissances (EGC'2022), Jan 2022, Blois, France |
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Improving the Quality of Rule-Based GNN ExplanationsWorkshop on eXplainable Knowledge Discovery in Data Mining. Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I, Sep 2022, Grenoble, France. pp.467--482, ⟨10.1007/978-3-031-23618-1\_31⟩ |
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Qu'est-ce que mon GNN capture vraiment ? Exploration des représentations internes d'un GNNExtraction et Gestion des Connaissances (EGC 2022), Jan 2022, Blois, France. pp.159-170 |
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Guidage des métaheuristiques par machine-learning, application au transport d'enfants en situation de handicap23ème Congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2022), INSA Lyon, Feb 2022, Villeurbanne - Lyon, France |
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Leveraging semantic for community mining in multilayer networksCanadian AI, May 2021, Vancouver, Canada |
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Edge based stochastic block model statistical inferenceCOMPLEX NETWORKS, Dec 2020, Madrid, Spain. pp.462-473, ⟨10.1007/978-3-030-65351-4_37⟩ |
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Knowledge-guided search applied to the transportation of disabled peopleSmart Healthcare International Conference (SHeIC 2021), Dec 2021, Troyes (France), France |
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Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery8th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2021), Oct 2021, Porto, Portugal. ⟨10.1109/DSAA53316.2021.9564164⟩ |
Sampling Rank Correlated SubgroupsDistributed Computing and Artificial Intelligence, 16th International Conference, Jun 2019, Avila, Espagne, Spain. pp.217-225, ⟨10.1007/978-3-030-23887-2_25⟩ |
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Finding interest groups from Twitter listsSAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, Mar 2020, Brno Czech Republic, France. pp.1885-1887, ⟨10.1145/3341105.3374077⟩ |
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Gibbs Sampling Subjectively Interesting TilesAdvances in Intelligent Data Analysis {XVIII} - 18th International Symposium on Intelligent Data Analysis (IDA 2020), Apr 2020, Konstanz (on line), Germany. ⟨10.1007/978-3-030-44584-3_7⟩ |
Why Should I Trust This Item? Explaining the Recommendations of any ModelIEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2020, Sydney, Australia. ⟨10.1109/DSAA49011.2020.00067⟩ |
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Contrastive antichains in hierarchiesSIGKDD 2019, Aug 2019, Anchorage, Alaska, United States. pp.294:304, ⟨10.1145/3292500.3330954⟩ |
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Recommandation séquentielle à base de séquences fréquentesExtraction et Gestion des Connaissances (EGC), Jan 2019, Metz, France |
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FSSD - A Fast and Efficient Algorithm for Subgroup Set DiscoveryIEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2019, Washington DC, United States. ⟨10.1109/DSAA.2019.00023⟩ |
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Minimum entropy stochastic block models neglect edge distribution heterogeneity8th International Conference on Complex Networks and Their Applications (COMPLEX NETWORKS 2019), Dec 2019, Lisbonne, Portugal. pp.545-555, ⟨10.1007/978-3-030-36687-2_45⟩ |
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Exceptional Attributed Subgraph Mining To Understand The Olfactory Percept21st International Conference on Discovery Science, Oct 2018, Limassol, Cyprus. pp.276--291 |
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Mining Subjectively Interesting Attributed SubgraphsINTERNATIONAL WORKSHOP ON MINING AND LEARNING WITH GRAPHS, held with SIGKDD 2018, Aug 2018, Londres, United Kingdom |
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Mining Convex Polygon Patterns with Formal Concept AnalysisThe Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI), Aug 2017, Melbourne, Australia. pp.1425 - 1432, ⟨10.24963/ijcai.2017/197⟩ |
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Contextual Subgraph Discovery With Mobility ModelsCOMPLEX NETWORKS 2017, Nov 2017, Lyon, France. pp.477-489 |
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Mining the Lattice of Binary Classifiers for Identifying Duplicate Labels in Behavioral Data30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, Jun 2017, Arras, France. pp.40-21, ⟨10.1007/978-3-319-60045-1_2⟩ |
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Une méthode de découverte de motifs contextualisés dans les traces de mobilité d'une personne16ème Journées Francophones Extraction et Gestion des Connaissances, Jan 2016, Reims, France. pp.63-68 |
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Découverte de labels dupliqués par l'exploration du treillis des classifieurs binaires16 ème journées Francophones Extraction et Gestion des Connaissances, Jan 2016, Reims, France. pp.255--266 |
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Local subgroup discovery for eliciting and understanding new structure-odor relationshipsDiscovery Science: 19th International Conference, DS 2016, Oct 2016, Bari, Italy. pp.19-34, ⟨10.1007/978-3-319-46307-0_2⟩ |
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Unsupervised Exceptional Attributed Sub-graph Mining in Urban DataIEEE International Conference on Data Mining (ICDM 2016), Dec 2016, Barcelone, Spain. pp.21-30 |
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Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media StreamsEuropean Conference on Machine Learning and Knowledge Discovery in Databases, 2015, Porto, Portugal. pp.276-280, ⟨10.1007/978-3-319-23461-8_29⟩ |
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Profiling users of the Vélo 'v bike sharing system2nd International Workshop on Mining Urban Data (MUD), Ioannis Katakis, François Schnitzler, Thomas Liebig, Dimitrios Gunopulos, Katharina Morik,Gennady L. Andrienko, Shie Mannor, Jul 2015, Lille, France. pp.63-64 |
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Factorisation de réseaux temporels : étude des rythmes hebdomadaires du système Vélo'vColloque GRETSI 2015, Sep 2015, Lyon, France |
Triggering Patterns of Topology Changes in Dynamic GraphsThe 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Aug 2014, Beijing, China, China. pp.55:1--55:17, ⟨10.1109/ASONAM.2014.6921577⟩ |
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Nonnegative matrix factorization to find features in temporal networks2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2014, Florence, Italy. pp.SPTM-P4.1 |
Granularity of co-Evolution Patterns in Dynamic Attributed GraphsThe Thirteenth International Symposium on Intelligent Data Analysis IDA 2014, Oct 2014, Leuven, Belgium. pp.84-95 |
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Temporal Dependency Detection Between Interval-Based Event SequencesNew Frontiers in Mining Complex Patterns - Third International Workshop, NFMCP, Held in Conjunction with ECML-PKDD, Nancy, France, Revised Selected Papers, Sep 2014, Nancy, France. pp.132--146 |
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Transformation de graphes dynamiques en signaux non stationnairesColloque GRETSI 2013, Sep 2013, Brest, France. pp.251 |
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Tracking of a dynamic graph using a signal theory approach : application to the study of a bike sharing systemECCS'13, Sep 2013, Barcelone, Spain. pp.101 |
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Networks as Signals, with an Application to Bike Sharing SystemGlobalSIP 2013, Dec 2013, Austin, United States. pp.IPN.PB.8 |
When TEDDY meets GrizzLY: Temporal Dependency Discovery for Triggering Road Deicing Operations (Demo)KDD, Aug 2013, Chicago, IL, United States. pp.1490-1493 ⟨10.1145/2487575.2487706⟩ |
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Trend Mining in Dynamic Attributed GraphsMachine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Sep 2013, Prague, Czech Republic. pp.654-669, ⟨10.1007/978-3-642-40988-2_42⟩ |
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Cohesive Co-Evolution Patterns in Dynamic Attributed GraphsDiscovery Science - 15th International Conference (DS 2012), Oct 2012, Lyon France. pp.110-124, ⟨10.1007/978-3-642-33492-4_11⟩ |
Extraction de co-variations entre des propriétés de sommets et leur position topologique dans un graphe attribué.Actes Extraction et Gestion de Connaissances EGC'12, Jan 2012, Bordeaux, France. pp.267-278 |
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Peut-on attraper les utilisateurs de Vélo'v au Lasso ?XXIIe Colooque GRETSI. Traitement du Signal et des Images, GRETSI, 2011, Bordeaux, France |
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Characteristics of the Dynamic of Mobile Networks4th International Conference on Bio-Inspired Models of Network, Information, and Computing Systems, Dec 2009, Avignon, France. pp.130-139, ⟨10.1007/978-3-642-12808-0_13⟩ |
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Constraint-based Subspace ClusteringSIAM International Conference on Data Mining, Apr 2009, Sparks, Nevada, United States. pp.26-37 |
A new constraint for mining sets in sequencesProc. SIAM Int. Conf. on Data Mining SDM'09, Apr 2009, Sparks, Nevada, United States. pp.317-328, ⟨10.1137/1.9781611972795.28⟩ |
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Spatial analysis of dynamic movements of Vélo'v, Lyon's shared bicycle programECCS'09, Sep 2009, Warwick, United Kingdom |
Constraint-based Pattern Mining in Dynamic GraphsIEEE International Conference on Data Mining, Dec 2009, Miami, Floride, United States. pp.950-955, ⟨10.1109/ICDM.2009.99⟩ |
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An inductive database prototype based on virtual mining viewsSIGKDD international conference on Knowledge discovery and data mining, Aug 2008, Las Vegas, United States. pp.1061-1064, ⟨10.1145/1401890.1402019⟩ |
Description and simulation of dynamic mobility networksDynamics on and of Complex Networks – II, Sep 2008, Jerusalem, Israel |
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A Methodology to Identify Characteristics of the Dynamic of Mobile NetworksACM ASIAN INTERNET ENGINEERING CONFERENCE (AINTEC), Nov 2008, Bangkok, Thailand |
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Data-Peeler: Constraint-based Closed Pattern Mining in n-ary RelationsSIAM International Conference on Data Mining SDM'08, Apr 2008, Atlanta, United States. pp.37-48 |
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TranscriptomiqueJournée INSA de Lyon "BioIngénierie / Sciences et Ingénierie du Vivant", 2008, Villeurbanne (France), juillet 2008, France. pp.1-1 |
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Communities detection and analysis of their dynamics in collaborative networksDynamic Virtual Communities: From Connectivity to Information Society, 2007, Lyon, France |
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Analysis of Dynamic Sensor Networks: Power Law Then What?Second International Conference on COMmunication Systems softWAre and middlewaRE (COMSWARE 2007), 2007, Bangalore, India |
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A New Way to Aggregate Preferences: Application to Eurovision Song ContestsIDA'07, Sep 2007, Ljubljana, Slovenia. pp.152-162 |
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Loi de puissance et caractérisation des réseaux dynamiques9ème Rencontres Francophones sur les Aspects Algorithmiques des Télécommunications, May 2007, Ile d'Oléron, France. pp.17-20 |
Co-classification sous contraintescAp 2006, May 2006, Trégastel, France |
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Mining bi-sets in numerical dataKIDID@ECMLPKDD, Sep 2006, berlin, Germany |
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Constraint-based mining of fault-tolerant patterns from Boolean dataKDID@ECMLPKDD, Sep 2005, porto, Portugal |
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Towards constrained co-clustering in ordered 0/1 data setsISMIS, Apr 2006, Bari, Italy. pp.424-434 |
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Mining a new fault-tolerant pattern type as an alternative to formal concept discoveryICCS, Jul 2006, Aalborg, Denmark |
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Constraint-based Mining of Fault Tolerant Patterns from Boolean DataKDID@ECMLPKDD, Sep 2005, Berlin, Germany |
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Approximation de concepts formels par des bi-ensembles denses et pertinentsActes de la conférence francophone d'apprentissage automatique, CAp 2005, Jun 2005, Nice, France. pp.313-328 |
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A bi-clustering framework for categorical data9th European Conf. on Principles and Practice of Knowledge Discovery in Databases, PKDD'05, Sep 2005, Porto, Portugal. pp.643-650, ⟨10.1007/11564126_68⟩ |
Using classification and visualization on pattern databases for gene expression data analysisInternational Workshop on Pattern Representation and Management, PaRMa 2004, Mar 2004, Heraclion, Greece. pp.107-118 |
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Constraint-based mining of formal concepts in transactional data8th Pacific-Asia Conference on Knowledge Discovery and Data Mining PaKDD'04, May 2004, sydney, Australia. pp.615-624 |
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Mining formal concepts with a bounded number of exceptions from transactional data3rd International Workshop on Knowledge Discovery in Inductive Databasesv (KDID'04), Sep 2004, Pise, Italy. pp.33-45, ⟨10.1007/978-3-540-31841-5_3⟩ |
Optimizing subset queries: a step towards SQL-based inductive databases for itemsets2004 ACM Symposium of Applied Computing, SAC'2004, Mar 2004, Nicosia, Cyprus. pp.535-539, ⟨10.1145/967900.968013⟩ |
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Recherche de groupes de gènes intéressants dans des données d'expression: apport des ensembles fréquentsAtelier Fouille de données biopuces à EGC 2003, Lyon, 22 janvier 2003, Jan 2003, lyon, France |
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Mining concepts from large SAGE gene expression matricesInternational Workshop on Knowledge Discovery in Inductive Databases (KDID'03) co-located with ECML/PKDD'03, 2003, Catvat-Dubrovnik, Croatia. pp.107-108 |
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Extraction de régularités dans des données d'expression SAGE humainesActes Journée Informatique pour l'analyse du transcriptome JPGD'03, Jan 2003, lyon, France |
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Characterization of unsupervised clusters with the simplest association rules: application for child's meningitisproceedings of the Seventh Int. workshop Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP 02) co-located with ECAI 02, 2002, France. pp.61-66 |
Supporting the Discovery of Relevant Topological Patterns in Attributed GraphsJilles Vreeken, Charles Ling, Mohammed Javeed Zaki, Arno Siebes Jeffrey Xu Yu, Bart Goethals, Geoffrey I. Webb, Xindong Wu. Demo Session of the IEEE International Conference on Data Mining (IEEE ICDM 12), Dec 2012, Brussels, Belgium. IEEE Computer Society, pp.898-901, 2012, ⟨10.1109/ICDMW.2012.38⟩ |
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Constrained-Based Closed Pattern Mining in n-ary RelationsSML - Spring Workshop on Mining and Learning 2008, May 2008, Traben-Trarbach, Germany. pp.1-1, 2008 |
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Extraction d'hyper-rectangles fermés sous contraintesAtelier Bases de Données Inductives BDI'07 organisé dans le cadre de la plate-forme AFIA 2007, Jul 2007, Grenoble, France. pp.1-2, 2007 |
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SQUAT: a web tool to mine SAGE data.Journées Ouvertes Biologie Informatique Mathématiques, JOBIM'07, Jul 2007, Marseille, France. 2007 |
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Using formal concepts for biological knowledge discovery from human SAGE dataJournées Ouvertes Biologie Informatique Mathématiques JOBIM'05, Jul 2005, Lyon, France, France. pp.1-2, 2005 |
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Extraction of relevant transcription modules using pattern discoveryIntegrative Post-Genomics, IPG'04, Oct 2004, Lyon, France. 2004 |
ECML PKDD 2018 Workshops - MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018, Proceedings2019 |
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Special Issue of the ECMLPKDD 2016 Journal TrackThomas Gartner; Mirco Nanni; Andrea Passerini; Céline Robardet. 104 (2-3), 2016, Special Issue of the ECMLPKDD 2016 Journal Track |
Transformation from Graphs to Signals and BackVertex-Frequency Analysis of Graph Signals, Springer International Publishing, pp.111-139, 2019, Signals and Communication Technology, ⟨10.1007/978-3-030-03574-7_2⟩ |
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Local Pattern Detection in Attributed GraphsSolving Large Scale Learning Tasks. Challenges and Algorithms - Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday, pp.168-183, 2016, ⟨10.1007/978-3-319-41706-6_8⟩ |
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A Dynamical Network View of Lyon's Vélo'v Shared Bicycle SystemA. Mukherjee, M. Choudhury, F. Peruani, N. Ganguly, B. Mitra Dynamics On and Of Complex Networks, Volume 2: Applications to Time-Varying Dynamical Systems , springer, pp.267-284, 2013 |
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Data Mining Techniques for Communities' Detection in Dynamic Social NetworksBen Kei Daniel. Handbook of Research on Methods and Techniques for Studying Virtual Communities: Paradigms and Phenomena, IGI Global, pp.88-102, 2011, ⟨10.4018/978-1-60960-040-2.ch005⟩ |
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Inductive Querying with Virtual Mining ViewsDžeroski, Sašo; Goethals, Bart; Panov, Panče (Eds.). Inductive Databases and Constraint-Based Data Mining, Springer, pp.265-288, 2010 |
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A Practical Comparative Study Of Data Mining Query LanguagesDžeroski, Sašo; Goethals, Bart; Panov, Panče (Eds.). Inductive Databases and Constraint-Based Data Mining, Springer, pp.59-78, 2010 |
Evolving networksMining Massive Data Sets for Security, 19, IOS Press, pp.198-203, 2008, 978-1-58603-898-4. ⟨10.3233/978-1-58603-898-4-198⟩ |
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Constraint-driven Co-Clustering of 0/1 DataS. Basu et al. Constrained Clustering: Advances in Algorithms, Chapman & Hall/CRC Press, pp.123-148, 2008 |
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Contribution to gene expression data analysis by means of set pattern miningConstraint-based mining and Inductive Databases, 2006, Constraint-based mining and Inductive Databases |
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Fouille de données et analyse du transcriptomeJean-François Boulicaut, Olivier Gandrillon. Informatique pour l'analyse du transcriptome, Lavoisier, pp.101-141, 2004, Traité IC2, série Informatique et Systèmes d'Information, 978-2-212-12471-2 |
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Fouille de données pour l'analyse du transcriptomeInformatique pour l'analyse du transcriptome, Lavoisier Editions, 2004, 978-2-212-12471-2 |
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Discovering and Visualizing Tactics in a Table Tennis Game Based on Subgroup DiscoveryECML/PKDD 2022 Workshop, Grenoble, France, 2022, ⟨10.1007/978-3-031-27527-2_8⟩ |
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Constraint-based pattern mining approaches for the analysis of relational attributed dynamic graphs2013 |
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Discovering the structure of complex networks: Implementation and Complexity of the heuristic MACH[Technical Report] Laboratoire de Physique, CNRS 5672; LIRIS UMR CNRS 5205. 2015 |
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Relabeling nodes according to the structure of the graph2013 |