Estimation of predictive accuracy in survival analysis using R and S-PLUS. - Lara Lusa; Rosalba Miceli; Luigi Mariani (Comput. Methods Programs Biomed., 2007)

Class prediction for high-dimensional class-imbalanced data. - Rok Blagus; Lara Lusa (BMC Bioinform., 2010)

Evaluation of SMOTE for High-Dimensional Class-Imbalanced Microarray Data. - Rok Blagus; Lara Lusa (ICMLA (2), 2012)

The Class-Imbalance Problem for High-Dimensional Class Prediction. - Lara Lusa; Rok Blagus (ICMLA (2), 2012)

Improved shrunken centroid classifiers for high-dimensional class-imbalanced data. - Rok Blagus; Lara Lusa (BMC Bioinform., 2013)

SMOTE for high-dimensional class-imbalanced data. - Rok Blagus; Lara Lusa (BMC Bioinform., 2013)

Boosting for high-dimensional two-class prediction. - Rok Blagus; Lara Lusa (BMC Bioinform., 2015)

Joint use of over- and under-sampling techniques and cross-validation for the development and assessment of prediction models. - Rok Blagus; Lara Lusa (BMC Bioinform., 2015)

Gradient boosting for high-dimensional prediction of rare events. - Rok Blagus; Lara Lusa (Comput. Stat. Data Anal., 2017)

Ten simple rules for initial data analysis. - Mark Baillie; Saskia le Cessie; Carsten Oliver Schmidt; Lara Lusa; Marianne Huebner (PLoS Comput. Biol., 2022)