14 citations · 24 across the 9 of their papers we have counts for
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cs.LG2020★ 14 cited
Feature Selection from High-Dimensional Data with Very Low Sample Size: A Cautionary Tale
Ludmila I. Kuncheva, Clare E. Matthews, Álvar Arnaiz-González +1
In classification problems, the purpose of feature selection is to identify a small, highly discriminative subset of the original feature set. In many applications, the dataset may…
eess.IV2020★ 7 cited
Basic Ensembles of Vanilla-Style Deep Learning Models Improve Liver Segmentation From CT Images
A. Emre Kavur, Ludmila I. Kuncheva, M. Alper Selver
Segmentation of the liver from 3D computer tomography (CT) images is one of the most frequently performed operations in medical image analysis. In the past decade, Deep Learning Mo…