Lara Lusa

Summary

Affiliation: University of Ljubljana
Country: Slovenia

Publications

  1. pmc Detection of human coronaviruses in simultaneously collected stool samples and nasopharyngeal swabs from hospitalized children with acute gastroenteritis
    Monika Jevšnik
    Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Zaloska 4, 1000 Ljubljana, Slovenia
    Virol J 10:46. 2013
  2. pmc Coronavirus infections in hospitalized pediatric patients with acute respiratory tract disease
    Monika Jevšnik
    Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Zaloska 4, Ljubljana 1000, Slovenia
    BMC Infect Dis 12:365. 2012
  3. pmc SMOTE for high-dimensional class-imbalanced data
    Rok Blagus
    Institute for Biostatistics and Medical Informatics, University of Ljubljana, Ljubljana, Slovenia
    BMC Bioinformatics 14:106. 2013
  4. doi request reprint A class comparison method with filtering-enhanced variable selection for high-dimensional data sets
    Lara Lusa
    Department of Medical Informatics, University of Ljubljana, Slovenia
    Stat Med 27:5834-49. 2008
  5. pmc Class prediction for high-dimensional class-imbalanced data
    Rok Blagus
    Institute for Biostatistics and Medical Informatics, University of Ljubljana, Vrazov trg 2, Ljubljana, Slovenia
    BMC Bioinformatics 11:523. 2010
  6. pmc Improved shrunken centroid classifiers for high-dimensional class-imbalanced data
    Rok Blagus
    Institute for Biostatistics and Medical Informatics, University of Ljubljana, Vrazov trg 2, Ljubljana, Slovenia
    BMC Bioinformatics 14:64. 2013

Collaborators

  • Rok Blagus
  • Monika Jevšnik
  • Miroslav Petrovec
  • Franc Strle
  • Tamara Zrim
  • Andrej Steyer
  • Marko Pokorn
  • Stefan Grosek
  • Tatjana Mrvič
  • Nina Zigon
  • Uros Krivec
  • Tina Ursic

Detail Information

Publications6

  1. pmc Detection of human coronaviruses in simultaneously collected stool samples and nasopharyngeal swabs from hospitalized children with acute gastroenteritis
    Monika Jevšnik
    Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Zaloska 4, 1000 Ljubljana, Slovenia
    Virol J 10:46. 2013
    ..The objective of our study was to assess the significance of HCoVs in the etiology of acute gastroenteritis (AGE) in children <6  years of age...
  2. pmc Coronavirus infections in hospitalized pediatric patients with acute respiratory tract disease
    Monika Jevšnik
    Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Zaloska 4, Ljubljana 1000, Slovenia
    BMC Infect Dis 12:365. 2012
    ..The aim of this study was to estimate the prevalence of human coronavirus infections in a series of children hospitalized with symptoms of acute respiratory tract disease in a one-year period in Slovenia...
  3. pmc SMOTE for high-dimensional class-imbalanced data
    Rok Blagus
    Institute for Biostatistics and Medical Informatics, University of Ljubljana, Ljubljana, Slovenia
    BMC Bioinformatics 14:106. 2013
    ..In this paper we investigate the properties of SMOTE from a theoretical and empirical point of view, using simulated and real high-dimensional data...
  4. doi request reprint A class comparison method with filtering-enhanced variable selection for high-dimensional data sets
    Lara Lusa
    Department of Medical Informatics, University of Ljubljana, Slovenia
    Stat Med 27:5834-49. 2008
    ....
  5. pmc Class prediction for high-dimensional class-imbalanced data
    Rok Blagus
    Institute for Biostatistics and Medical Informatics, University of Ljubljana, Vrazov trg 2, Ljubljana, Slovenia
    BMC Bioinformatics 11:523. 2010
    ..We also investigate the effectiveness of some strategies that are available to overcome the effect of class imbalance...
  6. pmc Improved shrunken centroid classifiers for high-dimensional class-imbalanced data
    Rok Blagus
    Institute for Biostatistics and Medical Informatics, University of Ljubljana, Vrazov trg 2, Ljubljana, Slovenia
    BMC Bioinformatics 14:64. 2013
    ..The NSC methods base their classification rules on shrunken centroids; in practice the amount of shrinkage is estimated minimizing the overall cross-validated (CV) error rate...