Using networks to measure similarity between genes: association index selection

SOM-based similarity index measure: quantifying interactions between multivariate structures

This paper addresses the issue of quantifying asymmetric functional relationships between signals. We specifically consider a previously proposed similarity index that is conceptually powerful, yet computationally very expensive. The complexity increases with the square of the number of samples in the signals. In order to counter this difficulty, a self-organizing map that is trained to model t...

Speech intelligibility prediction using a Neurogram Similarity Index Measure

Discharge patterns produced by fibres from normal and impaired auditory nerves in response to speech and other complex sounds can be discriminated subjectively through visual inspection. Similarly, responses from auditory nerves where speech is presented at diminishing sound levels progressively deteriorate from those at normal listening levels. This paper presents a Neurogram Similarity Index ...

Ranking of generalized fuzzy numbers using distance measure and similarity measure

An IFS-Based Similarity Measure to Index Electroencephalograms

EEG is a very useful neurological diagnosis tool, inasmuch as the EEG exam is easy to perform and relatively cheap. However, it generates large amounts of data, not easily interpreted by a clinician. Several methods have been tried to automate the interpretation of EEG recordings. However, their results are hard to compare since they are tested on different datasets. This means a benchmark data...

An analytical approach to similarity measure selection for self-training

We present a framework for investigating properties of similarity measures as a criterion for selecting the best-suited measure for a specific task, in this paper: corpus selection for self-training. We focus on the squared Pearson’s correlation coefficient as the property to rank similarity measures. Selftraining is an unsupervised domain adaptation technique, in which three corpora are involv...