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)

Effects of international collaboration and status of journal on impact of papers. - Stojan Peclin; Primoz Juznic; Rok Blagus; Mojca Cizek Sajko; Janez Stare (Scientometrics, 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)

Outlier Detection for Healthcare Quality Monitoring - A Comparison of Four Approaches to Over-Dispersed Proportions. - Gaj Vidmar; Rok Blagus (Qual. Reliab. Eng. Int., 2014)

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)

Comparison of bibliometric measures for assessing relative importance of researchers. - Rok Blagus; Brane Leskosek; Janez Stare (Scientometrics, 2015)

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

What (not) to expect when classifying rare events. - Rok Blagus; Jelle J. Goeman (Briefings Bioinform., 2018)