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Fabrice Clérot
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Publications
- 2020
- [c48]Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boullé, Fabrice Clérot:
Multivariate Time Series Classification: A Relational Way. DaWaK 2020: 316-330 - 2017
- [j6]Elias Egho, Dominique Gay, Marc Boullé, Nicolas Voisine, Fabrice Clérot:
A user parameter-free approach for mining robust sequential classification rules. Knowl. Inf. Syst. 52(1): 53-81 (2017) - [c40]Elias Egho, Dominique Gay, Romain Trinquart, Marc Boullé, Nicolas Voisine, Fabrice Clérot:
MiSeRe-Hadoop: A Large-Scale Robust Sequential Classification Rules Mining Framework. DaWaK 2017: 105-119 - 2016
- [c34]Bruno Guerraz, Marc Boullé, Dominique Gay, Vincent Lemaire, Fabrice Clérot:
Analyse exploratoire par k-Coclustering avec Khiops CoViz. EGC 2016: 493-498 - 2015
- [c33]Dominique Gay, Romain Guigourès, Marc Boullé, Fabrice Clérot:
TESS: Temporal event sequence summarization. DSAA 2015: 1-10 - [c32]Elias Egho, Dominique Gay, Marc Boullé, Nicolas Voisine, Fabrice Clérot:
A Parameter-Free Approach for Mining Robust Sequential Classification Rules. ICDM 2015: 745-750 - [c30]Romain Guigourès, Dominique Gay, Marc Boullé, Fabrice Clérot, Fabrice Rossi:
Country-Scale Exploratory Analysis of Call Detail Records Through the Lens of Data Grid Models. ECML/PKDD (3) 2015: 37-52 - [i5]Romain Guigourès, Dominique Gay, Marc Boullé, Fabrice Clérot, Fabrice Rossi:
Country-scale Exploratory Analysis of Call Detail Records through the Lens of Data Grid Models. CoRR abs/1503.06060 (2015) - [i3]Dominique Gay, Romain Guigourès, Marc Boullé, Fabrice Clérot:
Cats & Co: Categorical Time Series Coclustering. CoRR abs/1505.01300 (2015) - 2014
- [c29]Romain Guigourès, Dominique Gay, Marc Boullé, Fabrice Clérot:
Clustering de séquences d'évènements temporels. EGC 2014: 191-202 - [c28]Bruno Guerraz, Marc Boullé, Dominique Gay, Fabrice Clérot:
Khiops CoViz: A Tool for Visual Exploratory Analysis of k-Coclustering Results. ECML/PKDD (3) 2014: 444-447 - 2013
- [c26]Dominique Gay, Romain Guigourès, Marc Boullé, Fabrice Clérot:
Feature Extraction over Multiple Representations for Time Series Classification. NFMCP 2013: 18-34
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