Rok Blagus

  • BLAGUS, Rok, LUSA, Lara. Class prediction for high-dimensional class-imbalanced data. BMC bioinformatics, 2010, letn. 11, str. 523 (1-27).
  • BLAGUS, Rok, LUSA, Lara. Evaluation of SMOTE for high-dimensional class-imbalanced microarray data. V: TAO, Dacheng (ur.). ICMLA 2012. [S. l.]: Institute of Electrical and Electronics Engineers, 2012, str. 89-94.
  • LUSA, Lara, BLAGUS, Rok. The class-imbalance problem for hig-dimensional class prediction. V: TAO, Dacheng (ur.). ICMLA 2012.
  • BLAGUS, Rok, LUSA, Lara. Impact of class-imbalance on multi-class high-dimensional class prediction. Metodološki zvezki, 2012, vol. 9, no. 1, str. 25-45.
  • VIDMAR, Gaj, BLAGUS, Rok, STŘELEC, Luboš, STEHLÍK, Milan. Business indicators of healthcare quality : outlier detection in small samples. Applied Stochastic Models in Business and Industry, 2012, vol. 28, no. 3, str. 282-295.
  • PEČLIN, Stojan, JUŽNIČ, Primož, BLAGUS, Rok, ČIŽEK-SAJKO, Mojca, STARE, Janez. Effects of international collaboration and status of journal on impact of papers. Scientometrics, ISSN 0138-9130, Dec. 2012, vol. 93, no. 3, str. 937-948.
  • BLAGUS, Rok, LUSA, Lara. Improved shrunken centroid classifiers for high-dimensional class-imbalanced data. BMC bioinformatics, 2013, vol. 14, str. [1-27], 64.
  • BLAGUS, Rok, LUSA, Lara. SMOTE for high-dimensional class-imbalanced data. BMC bioinformatics, ISSN 1471-2105, 2013, vol. 14, str. [1-19], 106.
  • VIDMAR, Gaj, BLAGUS, Rok. Outlier detection for healthcare quality monitoring : a comparison of four approaches to over-dispersed proportions. Quality and reliability engineering international, ISSN 1099-1638, 2014, vol. 30, no. 3, str. 347-362.
  • BLAGUS, Rok, LESKOŠEK, Branimir, STARE, Janez. Comparison of bibliometric measures for assessing relative importance of researchers. Scientometrics, ISSN 0138-9130, 2015.
  • BLAGUS, Rok, LUSA, Lara. Boosting for high-dimensional two-class prediction. BMC bioinformatics, 2015.
  • BLAGUS, Rok, LUSA, Lara. Gradient boosting for high-dimensional prediction of rare events. Computational statistics & data analysis, 2016.
  • BLAGUS, Rok, GOEMAN, Jelle J. What (not) to expect when classifying rare events. Briefings in Bioinformatics, 2016.

About IBMI

Institute for Biostatistics and Medical Informatics (IBMI), formerly Institute for BioMedical Informatics (so still IBMI) was founded by the Faculty of Medicine as a result of a need for a unit which would perform, or coordinate, tasks related to data analysis and providing information, relevant for research in medicine. The programme of the institute, and its development, have been adjusting thorugh time to changes in financing and technological progress, but the basic aim remain the same: to support research in medicine. This is achieved through the following tasks:


Institute for Biostatistics and Medical Informatics
University of Ljubljana, Faculty of Medicine
Vrazov trg 2, 1000 Ljubljana

tel: +386 1 543-77-70
fax: +386 1 543-77-71
email: ibmi (at)