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Support Vector Machines Classification on Class Imbalanced Data: A Case Study with Real Medical Data
Publikováno v:
Journal of Data Science. 12:727-754
support vector machines (SVMs) constitute one of the most popular and powerful classification methods. However, SVMs can be limited in their performance on highly imbalanced datasets. A classifier which has been trained on an imbalanced dataset can p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d064eaf1277691bc8ee8afad500549a1
https://doi.org/10.6339/jds.201410_12(4).0009
https://doi.org/10.6339/jds.201410_12(4).0009
Autor:
Christos Koukouvinos, K. Drosou
Publikováno v:
Journal of Quality Technology. 52:249-264
The intention of robust parameter design (RPD) experiments is to identify the influence of control factors on the variation introduced by the uncontrollable noise factors. Split-plot designs can be...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed3a369ed01930eb0b0d1cc275fec4bf
https://doi.org/10.1080/00224065.2019.1571347
https://doi.org/10.1080/00224065.2019.1571347
Publikováno v:
Journal of Applied Statistics. 46:324-350
The statistical modeling of big data bases constitutes one of the most challenging issues, especially nowadays. The issue is even more critical in case of a complicated correlation structure. Variable selection plays a vital role in statistical analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d24bb3f52035d47080d659fa5724bda
https://doi.org/10.1080/02664763.2018.1480708
https://doi.org/10.1080/02664763.2018.1480708
Autor:
Christos Koukouvinos, K. Drosou
Publikováno v:
Communications in Statistics - Simulation and Computation. 48:1979-1995
Supersaturated designs (SSDs) constitute a large class of fractional factorial designs which can be used for screening out the important factors from a large set of potentially active ones. A major advantage of these designs is that they reduce the e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09c904d617316fb274afcd446b849337
https://doi.org/10.1080/03610918.2018.1429620
https://doi.org/10.1080/03610918.2018.1429620
Publikováno v:
Metrika. 81:337-355
Supersaturated designs (SSDs) constitute an important class of fractional factorial designs that could be extremely useful in factor screening experiments. Most of the existing studies have focused on balanced designs. This paper provides a new lower
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfe48ebce6434c8ee4f7e25dd1654248
https://doi.org/10.1007/s00184-018-0645-4
https://doi.org/10.1007/s00184-018-0645-4
Publikováno v:
Communications in Statistics - Simulation and Computation. 47:1134-1145
The identification of active effects in supersaturated designs (SSDs) constitutes a problem of considerable interest to both scientists and engineers. The complicated structure of the design matrix renders the analysis of such designs a complicated i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e77055b12fe2c8eb9cea373258307d34
https://doi.org/10.1080/03610918.2017.1307396
https://doi.org/10.1080/03610918.2017.1307396
Publikováno v:
Quality and Reliability Engineering International. 33:1475-1483
Supersaturated designs are designs in which the number of factors exceeds the run size; consequently, there are not enough degrees of freedom to estimate all the main effects. The goal here is to identify the dominant factors that constitute a small
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc2c82372e4ff576234e75add273a532
https://doi.org/10.1002/qre.2119
https://doi.org/10.1002/qre.2119
Publikováno v:
Communications in Statistics - Theory and Methods. 45:3782-3806
Discrepancies are measures which are defined as the deviation between the empirical and the theoretical uniform distribution. In this way, discrepancy is a measure of uniformity which provides a way of construction a special kind of space filling des
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a40cee229f8aea72e70ce7edd900b68a
https://doi.org/10.1080/03610926.2014.966843
https://doi.org/10.1080/03610926.2014.966843
Autor:
K. Drosou, Christos Koukouvinos
Publikováno v:
Journal of Applied Statistics. 44:533-553
One of the major issues in medical field constitutes the correct diagnosis, including the limitation of human expertise in diagnosing the disease in a manual way. Nowadays, the use of machine learning classifiers, such as support vector machines (SVM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::563237d248eda0d5cd652d37ecfbcc3d
https://doi.org/10.1080/02664763.2016.1177499
https://doi.org/10.1080/02664763.2016.1177499