Vivien Kraus

According to our database, Vivien Kraus authored at least 6 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

RSMS: Robust Semi-supervised Multi-label Feature Selection for Regression.

Vivien Kraus, Khalid Benabdeslem, Seif-Eddine Benkabou, Dou El Kefel Mansouri, Bruno Canitia

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

2022

Local Anomaly Detection for Multivariate Time Series by Temporal Dependency Based on Poisson Model.

Seif-Eddine Benkabou, Khalid Benabdeslem, Vivien Kraus, Kilian Bourhis, Bruno Canitia

IEEE Trans. Neural Networks Learn. Syst., 2022

2021

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).

Vivien Kraus

PhD thesis, 2021

2020

Laplacian-based Semi-supervised Multi-Label Regression.

Vivien Kraus, Khalid Benabdeslem, Bruno Canitia

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2018

An Improved Laplacian Semi-Supervised Regression.

Vivien Kraus, Seif-Eddine Benkabou, Khalid Benabdeslem, Frédéric Cherqui

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Régression Laplacienne semi-supervisée pour la reconstitution des dates de pose des réseaux d'assainissement.

Vivien Kraus, Khalid Benabdeslem, Frédéric Cherqui

Proceedings of the Extraction et Gestion des Connaissances, 2018