14 citations · 14 across the 2 of their papers we have counts for
3 papers
Remote sensing colour image semantic segmentation of trails created by large herbivorous Mammals
Jose Francisco Diez-Pastor, Francisco Javier Gonzalez-Moya, Pedro Latorre-Carmona +5
Identifying spatial regions where biodiversity is threatened is crucial for effective ecosystem conservation and monitoring. In this stydy, we assessed varios machine learning meth…
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…
Instance Selection Improves Geometric Mean Accuracy: A Study on Imbalanced Data Classification
Ludmila I. Kuncheva, Álvar Arnaiz-González, José-Francisco Díez-Pastor +1
A natural way of handling imbalanced data is to attempt to equalise the class frequencies and train the classifier of choice on balanced data. For two-class imbalanced problems, th…