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.

Na kratko o IBMI

Inštitut za biostatistiko in medicinsko informatiko (IBMI), prej Inštitut za biomedicinsko informatiko (torej tudi IBMI), je Medicinska fakulteta ustanovila leta 1973 kot izraz potrebe po izvajanju in usklajevanju del, vezanih na analizo podatkov in posredovanje informacij. Program dela in razvoja se je skozi čas prilagajal predvsem spremembam pri financiranju in tehnološkemu napredku, vendar so temeljne smernice ostale enake: inštitut se predvsem posveča dejavnostim, ki so pomembne za raziskovalno delo v medicini. Te pa lahko razdelimo na:

Kontakt

Inštitut za biostatistiko in medicinsko informatiko
Medicinska fakulteta
Univerza v Ljubljani
Vrazov trg 2, 1000 Ljubljana, Slovenija

tel: (01) 543-77-70
fax: (01) 543-77-71
email: ibmi (at) mf.uni-lj.si