Gene expression data usually contain a large number of genes, but a small number of
samples. Feature selection for gene expression data aims at finding a set of genes that best …

Foreign accent syndrome (FAS) is a rare condition which is placed in the mildest end of the
spectrum of speech disorders. The impairment, not severe enough to elicit phonological …

In this paper we propose and test the use of hierarchical clustering for feature selection. The
clustering method is Ward's with a distance measure based on Goodman-Kruskal tau. We …

Rapid developments in computing-related technologies have enabled the collection of large
amounts of data at unprecedented rates from diverse systems, both natural and engineered …

Mental state of a person is classified in an automated manner by analysing natural speech
of the person. A glottal waveform is extracted from a natural speech signal. Pre-determined …

This paper investigates automatic affect classification in spontaneous speech within normal
and clinical family environments. The data base used in this study comprised speech …

Wrapper feature selection approaches are widely used to select a small subset of relevant
features from a dataset. However, Wrappers suffer from the fact that they only use a single …

According to the grading standard of raw cotton issued by Chinese government, 14 texture
features were extracted in HSI color space to describe their color and impurity content, and …

Pathological voice analysis is a challenging task and an important area of research in voice
disorder identification. Until now, the long-time acoustic (LTA) parameters are used …

This thesis examines the use of Genetic Programming and a Genetic Algorithm in a wrapper
approach to pre-process data before it is classified by a (relatively simple) classifier such as …