Towards Reliable Recommender Systems for Rating Data
Archimbaud, A., Alfons, A., & Wilms, I. (2026). Towards Reliable Recommender Systems for Rating Data. arXiv preprint arXiv:2412.20802v3.
Quantifying the impact of careless responding
Welz, M., Archimbaud, A., & Alfons, A. (2026). Quantifying the impact of careless responding.PsyArXiv Preprints. psyarxiv:8fj6p_v2.
A Note on the Folding Test of Unimodality: limitation and improved alternative
Becquart, C., Archimbaud, A., Ruiz, A. M., & Smida, Z. (2026). A Note on the Folding Test of Unimodality: limitation and improved alternative. arXiv preprint arXiv:2605.13326.
Method for determining the level of abnormality of an individual, in particular for the statistical detection of abnormal individuals in a multivariate context
Archimbaud, A., Ruiz, A. and Soual, C. (2026). Method for determining the level of abnormality of an individual, in particular for the statistical detection of abnormal individuals in a multivariate context (Japanese Patent No. JP, 7819102, B2). Japan Patent Office. Publication date: February 24, 2026.
Unsupervised statistical method for multivariate identification of anomalous sensors.
Alves, A., Archimbaud, A., Bergeret, F. and Soual, C. (2026). Unsupervised statistical method for multivariate identification of anomalous sensors (Japanese Patent No. JP, 7795462, B2). Japan Patent Office.Publication date: January 7, 2026.
Invariant Coordinate Selection and Fisher discriminant subspace beyond the case of two groups
Becquart, C., Archimbaud, A., Ruiz-Gazen, A., Prilć, L. and Nordhausen, K. (2026).Invariant Coordinate Selection and Fisher discriminant subspace beyond the case of two groups. Journal of Multivariate Analysis, 211, 105521.
Generalized implementation of invariant coordinate selection with positive semi-definite scatter matrices
Archimbaud, A. (2026). Generalized implementation of invariant coordinate selection with positive semi-definite scatter matrices. Journal of Multivariate Analysis, 211, 105520.
ICS for multivariate functional anomaly detection with applications to predictive maintenance and quality control
Archimbaud, A., Boulfani, F., Gendre, X., Nordhausen, K., Ruiz-Gazen, A., & Virta, J. (2025). Econometrics and Statistics, 33, 282–303.
Tandem clustering with invariant coordinate selection
Alfons, A., Archimbaud, A., Nordhausen, K., & Ruiz-Gazen, A. (2024). Tandem clustering with invariant coordinate selection. Econometrics and Statistics, ISSN 2452-3062.
Procédé statistique non supervisé de détection multivariée de courbes atypiques.
Alves, A., Archimbaud, A., Bergeret, F. and Soual, C. (2023) Procédé statistique non supervisé de détection multivariée de courbes atypiques. French Patent FR3112407.
Numerical Considerations and a New Implementation for Invariant Coordinate Selection
Archimbaud, A., Drmac, Z., Nordhausen, K., Radojicic, U. & Ruiz-Gazen, A. (2023). SIAM Journal on Mathematics of Data Science (SIMODS), Vol.5(1):97–121.
From space to automotive: early detection of burnin rejects on SiC products using a new statistical screening approach
Alessandrino, S., Archimbaud, A., Bergeret, F. and Bevilacqua, S. (2021). The 1st edition of the Automotive Reliability and Test workshop in Europe (ARTe).
A new method for small sample space components screening: Challenges, algorithms and a case-study with Microchip
Archimbaud A., Bergeret F., D’Alberto S., Bonnin C., Soual C. (2019), Microelectronics Reliability Volumes 100–101
ICS for multivariate outlier detection with application to quality control
Archimbaud, A., Nordhausen, K., & Ruiz-Gazen, A. (2018). Computational Statistics & Data Analysis, Vol.128:184–199
Détection non-supervisée d’observations atypiques en contrôle de qualité: un survol
Archimbaud, A. (2018). Journal de la Société Française de Statistique, Vol. 159(3):1–39
ICSOutlier: Unsupervised Outlier Detection for Low-Dimensional Contamination Structure
Archimbaud, A., Nordhausen, K., and Ruiz-Gazen, A. (2018). The RJournal, Vol. 10(1):234–250
Statistical methods for outlier detection for high-dimensional data - Méthodes statistiques de détection d’observations atypiques pour des données en grande dimension
Aurore Archimbaud (2018). PhD Thesis. Université Toulouse 1 - Capitole, France
High dimensional outlier screening of small dice samples for aerospace IC reliability
Archimbaud, A., Soual, C., Bergeret, F., D’Alberto, S., Thebault, T., and Bonin, C. (2017). The 10th international conference on mathematical methods in reliability, Grenoble, France
Distance de Mahalanobis et ICS pour la détection d’observations atypiques
Archimbaud, A., Nordhausen, K., and Ruiz-Gazen, A. (2017). 49èmes Journées de Statistique, Avignon, France