Christophe Rigotti
Publications
Publications
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Combining SHAP-driven Co-clustering and Shallow Decision Trees to Explain XGBoost27. International Conference Discovery Science (DS'24), Oct 2024, Pise, Italy. pp.369-384, ⟨10.1007/978-3-031-78977-9_24⟩ |
Bridging local and global explanations of tree ensemble predictions using co-clustering of SHAP valuesNuTS-AI 2025 workshop on Artificial Intelligence and Application to Solid Earth, Jul 2025, Paris, France |
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Unsupervised data mining technique to extract patterns corresponding to aseismic slow slip events: application to the Izmit section of the north Anatolian faultNuTS-AI workshop on Artificial Intelligence and Application to Solid Earth, Jul 2025, Paris, France |
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Re_actShap : détection de rebranchements des réseaux de régulation d’expression génique à l’aide des valeurs SHAP25ième conference sur l'Extraction et Gestion des Connaissances (EGC), session demonstrations, 2025, Strasbourg, France. pp.8 |
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Detecting gene regulatory network rewiring as changes in marker regulatory associations using only single-cell gene expression dataIEEE 12th Data Mining in Biomedical Informatics and Healthcare Workshop (DMBIH'24) at ICDM'24, 2024, Abu Dhabi, United Arab Emirates. pp.10 |
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Exploring an unsupervised data mining approach to extract aseismic slip events along the Izmit section of the North Anatolian Fault, based on FLATSIM time series6th Symposium on Measurement of Earth surface Deformations with Earth Observation (MDIS'24), 2024, Orléans, France. pp.2 |
Unraveling regulatory associations using explainable AIJournée GT Machine learning pour la génomique LEGO à JOBIM 2024, Jun 2024, Toulouse, France |
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Apprendre l'apprentissage automatique : un retour d'expérienceCETSIS 2021 - Colloque de l'Enseignement des Technologies et des Sciences de l'Information et des Systèmes, Jun 2021, Valenciennes, France. pp.1-5 |
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Apprivoiser l'hétérogénéité en informatique 1ère annéeCOLLOQINSA 2021 - 7e Colloque pédagogie et formation, May 2021, Valenciennes, France. pp.1-6 |
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Studying Evolution of Hydrothermal Alteration Materials in the Turrialba Volcano through Multispectral and Hyperspectral ImagesInternational Society for Photogrammetry and Remote Sensing Congress, 2020, Nice, France. 6 p., ⟨10.5194/isprs-archives-XLIII-B2-2020-1259-2020⟩ |
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Approximation du score CFOF de détection d’anomalie dans un arbre d’indexation iSAX : Application au contexte SI de la SNCFEGC 2019 - 19ème Conférence francophone sur l'Extraction et la Gestion des Connaissances, Jan 2019, Metz, France. pp.1-12 |
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Scoring Message Stream Anomalies in Railway Communication SystemsLMID 2019 - IEEE Workshop on Learning and Mining with Industrial Data, Nov 2019, Beijing, China. pp.1-8, ⟨10.1109/ICDMW.2019.00114⟩ |
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A pattern-based mining system for exploring Displacement Field Time Series19th IEEE International Conference on Data Mining (ICDM) Demo, Nov 2019, Beijing, China. pp.1110-1113, ⟨10.1109/ICDMW.2019.00165⟩ |
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Weight-based search to find clusters around medians in subspacesSAC 2018 - ACM Symposium On Applied Computing, Apr 2018, Pau, France. pp.1-10 |
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Finding Complementary and Reliable Patterns in Displacement Field Time Series of Alpine GlaciersIGARSS 2018 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2018, Valencia, Spain. pp.4213-4216, ⟨10.1109/igarss.2018.8518969⟩ |
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EvoMove: Evolutionary-based living musical companionEuropean Conference on Artificial Life (ECAL), Sep 2017, Villeurbanne, France. pp.1-8 |
Handling coherence measures of displacement field time series: Application to Greenland ice sheet glaciers9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp), Jun 2017, Brugge, Belgium. pp.1-4, ⟨10.1109/Multi-Temp.2017.8035228⟩ |
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3D Geomodelling Contribution to the Mapping of Gravitational Hazards on the Hill of Croix-RousseJournées Aléas Gravitaires (JAG), Oct 2017, Besançon, France. pp.1-4 |
Suivi de l'érosion par imagerie satellite et fouille de données spatio-temporellesJournées Nationales de Géotechnique et de Géologie de l'Ingénieur, Jul 2016, Nancy, France. pp.1-8 |
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Grouped frequent sequential patterns derived from terrestrial image time series tomonitor landslide behaviour – Application to the dynamics of the Sanières/Roche Plombée rockslide.Geophysical Research Abstracts - EGU General Assembly 2016, Apr 2016, Vienna, Austria. pp.1-1 |
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A Commensal Architecture for Evolving Living InstrumentsConference on Computer Simulation of Musical Creativity, Jun 2016, Huddersfield, United Kingdom. pp.1-8 |
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SITS-P2miner: Pattern-Based Mining of Satellite Image Time SeriesEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) Demo, Sep 2016, Riva del Garda, Italy. pp.63-66, ⟨10.1007/978-3-319-46131-1_14⟩ |
Subspace Clustering Using Evolvable Genome StructureGenetic and Evolutionary Computation Conference (GECCO), Jul 2015, Madrid, Spain. pp.575-582 |
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Crystal orientation mapping via ion channeling: an alternative to EBSDMicroscience Microscopy Congress 2015, Jun 2015, Manchester, United Kingdom |
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Subspace Clustering for all SeasonsEvoEvo Workshop (satellite workshop of ECAL 2015), Jul 2015, york, United Kingdom. pp.1-3 |
A swap randomization approach for mining motion field time series over the Argentiere glacier2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi-Temp), Jul 2015, Annecy, France. pp.1-4, ⟨10.1109/Multi-Temp.2015.7245757⟩ |
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Swap Randomization of Bases of Sequences for Mining Satellite Image Time SeriesEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Sep 2015, Porto, Portugal. pp.190-205 |
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Crystal Orientation Mapping using ion image series: iCHORDEUROMAT, Sep 2015, Warsaw, Poland |
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Iterative Summarization of Satellite Image Time SeriesIEEE International Geoscience and Remote Sensing Symposium (IGARSS 2014), Jul 2014, Québec, Canada. pp.1-4 |
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Monitoring of Tectonic Deformation by Mining Satellite Image Time SeriesReconnaissance de Formes et Intelligence Artificielle (RFIA) 2014, Jun 2014, Rouen, France. pp.1-6 |
Fouille de données spatio-temporelles appliquée aux séries d'images satelliteCité des Sciences et de l'Industrie - Rencontres du Numérique de l'ANR, Apr 2013, Paris, France |
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GFS-pattern extraction in satellite image time series: application to the monitoring of Mount EtnaAtelier Mesure de Déformations par Imagerie Spatiale, Oct 2013, Autrans, France. pp.1-1 |
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Normalized Mutual Information-Based Ranking of Spatio-Temporal Localization Maps8th European Spatial Agency (ESA) - EUSC - JRC Conference on Image Information Mining, Oct 2012, Oberpfaffenhofen, Germany. pp.11-14 |
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Finding Collections of k-Clique Percolated Components in Attributed GraphsPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2012, Kuala Lumpur, Malaysia. pp.181--192 |
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Finding Collections of Protein Modules in Protein-Protein Interaction NetworksBioinformatics and Computational Biology (BICoB), 2012, Las Vegas, United States. pp.216-222 |
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Extraction sous Contraintes d'Ensembles de Cliques Homogènes11eme Conference Francophone sur l'Extraction et la Gestion des Connaissances (EGC'11), 2011, Brest, France. pp.1-12 |
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Spatio-Temporal Mining of ENVISAT SAR Interferogram Time Series over the Haiyuan Fault in China2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp), Jul 2011, Trento, Italy. 10.1109/Multi-Temp.2011.6005067, ⟨10.1109/Multi-Temp.2011.6005067⟩ |
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Polsar Radarsat-2 Satellite Image Time Series Mining Over the Chamonix Mont-Blanc Test SiteIGARSS 2011 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2011, Vancouver, Canada. pp 1191-1194 |
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Mining Pixel Evolutions in Satellite Image Time Series for Agricultural Monitoring11th Industrial Conference on Data Mining ICDM 2011, Aug 2011, New-York, United States. pp.189-203, ⟨10.1007/978-3-642-23184-1_15⟩ |
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Extraction of Frequent Grouped Sequential Patterns from Satellite Image Time SeriesIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010., Jul 2010, Honolulu, United States. pp.4 |
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Spatio-Temporal Mining of PolSAR Satellite Image Time SeriesThe 2010 European Space Agency Living Planet Symposium, Jun 2010, Bergen, Norway. pp.6 |
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Constraint-Based Mining of Sets of Cliques Sharing Vertex PropertiesWorkshop on Analysis of Complex NEtworks ACNE'10 co-located with ECML PKDD 2010, Sep 2010, Barcelona, Spain. pp.48-62 |
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Parameter Tuning for Differential Mining of String Patterns2nd International Workshop on Domain Driven Data Mining DDDM'08 co-located with ICDM'08, Dec 2008, Pise, Italy. pp.77-86 |
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Quantitative Episode Trees5th International Workshop on Knowledge Discovery in Inductive Databases KDID'06 co-located with ECML PKDD 2006, Sep 2006, Berlin, Germany. pp.95-106 |
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Mining episode rules in STULONG datasetIn Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'04), Discovery Challenge, Sep 2004, Pisa, Italy. pp.33-45 |
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Constraint-based Mining of Episode Rules and Optimal Window Sizes8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Sep 2004, Pisa, Italy. pp.313-324 |
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GO-SPADE: Mining Sequential Patterns over Datasets with Consecutive RepetitionsInternational Workshop on Machine Learning and Data Mining in Pattern Recognition, MLDM'03, Jul 2003, Leipzig, Germany. pp.293-306, ⟨10.1007/3-540-45065-3_26⟩ |
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Constraint-Based Mining of Sequential Patterns over Datasets with Consecutive Repetitions7th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD'03, Sep 2003, Cavtat-Dubrovnik, Croatia. pp.303-314, ⟨10.1007/978-3-540-39804-2_28⟩ |
Finding Interesting Association Rules Using Confidence VariationsThe International Conference on Computer, Communication and Control Technologies - CCCT'03, Aug 2003, Orlando, United States. pp. 72-84 |
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Association Maps as Integrity Constraints in Inductive DatabasesThe First International Workshop on Inductive Databases, KDID'02, Aug 2002, Helsinki, Finland. ISBN 952-10-0638-2, pp. 61-75 |
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Spreadsheet Generation from Rule-Based SpecificationsDDLP' 98, 1998, Manchester, United Kingdom. pp.59-70 |
Agent-based models to simulate the COVID-19 epidemic: Understanding the contributions of the determinants of disease spread44th Conference of the International Society for Clinical Biostatistics (ISCB44), 2023, Milan (Italie), Italy |
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Semi-supervised learning for tree-based regressors to improve the prediction of the interactions between genesSymposium MaDICS, Jul 2022, Lyon, France |
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Detecting Anomalies over Message Streams in Railway Communication SystemsAALTD@ECML/PKDD 2019 - 4th Workshop on Advanced Analytics and Learning on Temporal Data. Poster, Sep 2019, Wurzburg, Germany. pp.1 |
A Data Mining Approach to Highlight Relations Between Functional ModulesIPG (Integrative Post-Genomics), Nov 2010, Lyon, France. pp.1-1, 2010 |
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New mechanisms of v-ErbA oncogene action revealed by SAGE analysisIntegrative Post-Genomics, IPG'06, Nov 2006, Lyon, France. 2006 |
Anomaly Detection Based on Sequence Indexation and CFOF Score ApproximationAdvances in Knowledge Discovery and Management, 1004, Springer International Publishing, pp.47-61, 2022, Studies in Computational Intelligence, ⟨10.1007/978-3-030-90287-2_3⟩ |
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Satellite Image Time Series: mathematical models for data mining and missing data restorationGabriele Moser; Josiane Zerubia. Mathematical Models for Remote Sensing Image Processing, Springer International Publishing, pp.357-398, 2017, 978-3-319-66330-2. ⟨10.1007/978-3-319-66330-2⟩ |
Using a Solver over the String Pattern Domain to Analyse Gene Promoter SequencesS. Dzeroski, B. Goethals, and P. Panov. Inductive Databases and Constraint-Based Data Mining, Springer, pp.407-424, 2010 |
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Extracting Trees of Quantitative Serial EpisodesS. Dzeroski, J. Struyf. Knowledge Discovery in Inductive Databases : 5th International Workshop, KDID 2006 Berlin, Germany, September 18, 2006 Revised Selected and Invited Papers, 4747, Springer, pp.170-188, 2007, Lecture Notes in Computer Science, LNCS, 978-3-540-75548-7. ⟨10.1007/978-3-540-75549-4_11⟩ |
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A survey on condensed representations for frequent setsJean-François Boulicaut, Luc De Raedt, Heikki Mannila. Constraint-based mining and Inductive Databases : European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March 11-13, 2004, Revised Selected Papers, Springer, pp.64-80, 2006, ⟨10.1007/11615576_4⟩ |
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Integrity Constraints over Association RulesRosa Meo, Pier Luca Lanzi, Mika Klemettinen. Database Support for Data Mining Applications, Springer, pp.306-325, 2004, Lecture Notes in Computer Science, ⟨10.1007/b99016⟩ |
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Information gain-based selection of sequential patterns extracted from partial unimodal probabilistic bases of sequences2024-1, Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance (LISTIC) - Polytech Annecy-Chambéry. 2024, pp.85 |
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Lessons learnt from the use of compartmental models over the COVID-19 induced lockdown in France[Research Report] Université Lyon 1; Ecole Centrale de Lyon; INSA Lyon. 2021, p. 39 |
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Adapting French COVID-19 vaccination campaign duration to variant dissemination[Research Report] Université Lyon 1; Ecole Centrale de Lyon; INSA Lyon. 2021, p. 24 |
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Piecewise estimation of R0 by a simple SEIR model. Application to COVID-19 in French regions and departments until June 30, 2020[Research Report] LIRIS UMR CNRS 5205; Ecole centrale de lyon; INSA LYON; Université Lyon 1 - Claude Bernard. 2020 |
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EvoEvo Deliverable 5.2[Research Report] INRIA Grenoble - Rhône-Alpes. 2016 |
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EvoEvo Deliverable 6.8[Research Report] INRIA Grenoble - Rhône-Alpes. 2016 |
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EvoEvo Deliverable 5.1[Research Report] INRIA Grenoble - Rhône-Alpes. 2016 |