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Vivien Kraus
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2020 – today
- 2024
- [j2]Vivien Kraus, Guillaume Dollé, Margaux Alloux, Gauthier Loron, Nathalie Bednarek, Jonathan Beck, François Rousseau, Nicolas Passat:
SLAM - A thin-client for interoperable annotation and biomedical signal handling. SoftwareX 27: 101795 (2024) - 2023
- [c4]Vivien Kraus, Khalid Benabdeslem, Seif-Eddine Benkabou, Dou El Kefel Mansouri, Bruno Canitia:
RSMS: Robust Semi-supervised Multi-label Feature Selection for Regression. ICTAI 2023: 99-105 - 2022
- [j1]Seif-Eddine Benkabou, Khalid Benabdeslem, Vivien Kraus, Kilian Bourhis, Bruno Canitia:
Local Anomaly Detection for Multivariate Time Series by Temporal Dependency Based on Poisson Model. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6701-6711 (2022) - 2021
- [b1]Vivien Kraus:
Apprentissage semi-supervisé pour la régression multi-labels: application à l'annotation automatique de pneumatiques. (Semi-supervised learning for multi-label regression: application to automatic labelling of tires). University of Lyon, France, 2021 - 2020
- [c3]Vivien Kraus, Khalid Benabdeslem, Bruno Canitia:
Laplacian-based Semi-supervised Multi-Label Regression. IJCNN 2020: 1-8
2010 – 2019
- 2018
- [c2]Vivien Kraus, Khalid Benabdeslem, Frédéric Cherqui:
Régression Laplacienne semi-supervisée pour la reconstitution des dates de pose des réseaux d'assainissement. EGC 2018: 281-286 - [c1]Vivien Kraus, Seif-Eddine Benkabou, Khalid Benabdeslem, Frédéric Cherqui:
An Improved Laplacian Semi-Supervised Regression. ICTAI 2018: 564-570
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last updated on 2024-08-23 18:30 CEST by the dblp team
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