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Lara Lusa

Showing results (1-10 of 76) with videos related to

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Epidemiologia E Prevenzione|January 8, 2021
Identifying the Italian provinces with increased mortality during COVID-19 epidemics using the data made available by the Italian National Institute of Statistics. A methodological challengeLara Lusa
Journal of Evaluation in Clinical Practice|November 9, 2018
Providing patients visiting emergency departments with useful information using public real time data: A case study based on Italian dataLara Lusa, David Bukovšek
Plos One|October 28, 2020
Restricted cubic splines for modelling periodic dataLara Lusa, Črt Ahlin
BMC Bioinformatics|September 23, 2015
Boosting for high-dimensional two-class predictionRok Blagus, Lara Lusa
BMC Bioinformatics|March 26, 2013
SMOTE for high-dimensional class-imbalanced dataRok Blagus, Lara Lusa
BMC Bioinformatics|February 26, 2013
Improved shrunken centroid classifiers for high-dimensional class-imbalanced dataRok Blagus, Lara Lusa
BMC Bioinformatics|November 6, 2015
Joint use of over- and under-sampling techniques and cross-validation for the development and assessment of prediction modelsRok Blagus, Lara Lusa
Epidemiologia E Prevenzione|January 8, 2021
Classification of weekly provincial overall age- and gender-specific mortality patterns during the COVID-19 epidemics in ItalyNataša Kejžar, Lara Lusa
BMC Bioinformatics|October 22, 2010
Class prediction for high-dimensional class-imbalanced dataRok Blagus, Lara Lusa
International Journal of Environmental Research and Public Health|September 28, 2021
Organizing and Analyzing Data from the SHARE Study with an Application to Age and Sex Differences in Depressive SymptomsLara Lusa, Marianne Huebner
Pageof 8

Showing results (1-10 of 76) with videos related to

Sort By:
Pageof 8
Epidemiologia E Prevenzione|January 8, 2021
Identifying the Italian provinces with increased mortality during COVID-19 epidemics using the data made available by the Italian National Institute of Statistics. A methodological challengeLara Lusa
Journal of Evaluation in Clinical Practice|November 9, 2018
Providing patients visiting emergency departments with useful information using public real time data: A case study based on Italian dataLara Lusa, David Bukovšek
Plos One|October 28, 2020
Restricted cubic splines for modelling periodic dataLara Lusa, Črt Ahlin
BMC Bioinformatics|September 23, 2015
Boosting for high-dimensional two-class predictionRok Blagus, Lara Lusa
BMC Bioinformatics|March 26, 2013
SMOTE for high-dimensional class-imbalanced dataRok Blagus, Lara Lusa
BMC Bioinformatics|February 26, 2013
Improved shrunken centroid classifiers for high-dimensional class-imbalanced dataRok Blagus, Lara Lusa
BMC Bioinformatics|November 6, 2015
Joint use of over- and under-sampling techniques and cross-validation for the development and assessment of prediction modelsRok Blagus, Lara Lusa
Epidemiologia E Prevenzione|January 8, 2021
Classification of weekly provincial overall age- and gender-specific mortality patterns during the COVID-19 epidemics in ItalyNataša Kejžar, Lara Lusa
BMC Bioinformatics|October 22, 2010
Class prediction for high-dimensional class-imbalanced dataRok Blagus, Lara Lusa
International Journal of Environmental Research and Public Health|September 28, 2021
Organizing and Analyzing Data from the SHARE Study with an Application to Age and Sex Differences in Depressive SymptomsLara Lusa, Marianne Huebner
Pageof 8