Bayesian Additive Regression Trees using Bayesian model averaging

Variable selection for BART: An application to gene regulation

(2014) Justin Bleich et al.   Annals of Applied Statistics

Introducing Conformal Prediction in Predictive Modeling. A Transparent and Flexible Alternative to Applicability Domain Determination

(2014) Ulf Norinder et al.   Journal of Chemical Information and Modeling

Regression conformal prediction with random forests

(2014) Ulf Johansson et al.   MACHINE LEARNING

Why have so few proteomic biomarkers “survived” validation? (Sample size and independent validation considerations)

(2014) Belinda Hernández et al.   PROTEOMICS

Algorithm runtime prediction: Methods & evaluation

(2013) Frank Hutter et al.   ARTIFICIAL INTELLIGENCE

Molecular Classification of Prostate Cancer Progression: Foundation for Marker-Driven Treatment of Prostate Cancer

(2013) C. J. Logothetis et al.   Cancer Discovery

Optimal Detection of Changepoints With a Linear Computational Cost

(2012) R. Killick et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

BART: Bayesian additive regression trees

(2010) Hugh A. Chipman et al.   Annals of Applied Statistics

The behaviour of random forest permutation-based variable importance measures under predictor correlation

(2010) Kristin K Nicodemus et al.   BMC BIOINFORMATICS

How do your data grow?

(2008) Clifford Lynch   NATURE

Empirical characterization of random forest variable importance measures

(2007) Kellie J. Archer et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS