2 papers
stat.ML2022
Robust PCA for Anomaly Detection and Data Imputation in Seasonal Time Series
Hong-Lan Botterman, Julien Roussel, Thomas Morzadec +2
We propose a robust principal component analysis (RPCA) framework to recover low-rank and sparse matrices from temporal observations. We develop an online version of the batch temp…
cs.SI2019
Link weights recovery in heterogeneous information networks
Hong-Lan Botterman, Robin Lamarche-Perrin
Socio-technical systems usually consists of many intertwined networks, each connecting different types of objects (or actors) through a variety of means. As these networks are co-d…