research
∙
02/06/2023
Random Forests for time-fixed and time-dependent predictors: The DynForest R package
The R package DynForest implements random forests for predicting a categ...
share
research
∙
08/11/2022
Random survival forests for competing risks with multivariate longitudinal endogenous covariates
Predicting the individual risk of a clinical event using the complete pa...
research
∙
02/02/2021
Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark approach
The individual data collected throughout patient follow-up constitute cr...
research
∙
06/04/2019
Fréchet random forests
Random forests are a statistical learning method widely used in many are...
research
∙
01/31/2019
Random forests for high-dimensional longitudinal data
Random forests is a state-of-the-art supervised machine learning method ...
research
∙
04/06/2016
Comments on: "A Random Forest Guided Tour" by G. Biau and E. Scornet
This paper is a comment on the survey paper by Biau and Scornet (2016) a...
research
∙
11/26/2015