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Automatic hypernasality detection in children with Cleft Lip and Palate is made considering five Spanish vowels. Characterization is performed by means of some acoustic and noise features, building a representation space with high dimensionality. Most relevant features are selected using Principal Components Analisis and linear correlation in order to enable clinical interpretation of results and...
The evaluation of appearance parameters is critical for quality assurance purposes when determining lifetime and/or beauty of textile products. Practical evaluations of appearance are often performed by human visual inspection, which is repetitive, exhausting, unreliable and costly. Thus, computerized automatic visual inspection has been used to alleviate those problems. Several papers have proposed...
A comparative analysis of four multi-label classification methods is performed in order to determine the best topology for the problem of protein function prediction, using support vector machines as base classifiers. Comparisons are done in terms of performance and computational cost of parallelized versions of the algorithms, for determining its applicability in high-throughput scenarios. Results...
Predicting the localization of a protein has become a useful practice for inferring its function. Most of the reported methods to predict subcellular localizations in Gram-negative bacterial proteins have shown a low false positive rate. However, some subcellular compartmens like “periplasm” and “extracellular medium” are difficult to predict and remain high false negative rates. In this paper, a...
The functional prediction of proteins is one of main purposes of computational biology. Many techniques have been developed to solve this problem. Methods based on alignments of sequences like BLASTP are the most commonly used. However, these techniques have been criticized due to their on failures detecting homologous sequences under some identity thresholds between sequences. Although this is an...
In infrared (IR) based non-destructive and evaluation tests (NDT&E) for automated fault detection and identification processes, the segmentation task is a crucial stage. In fact, thermal imaging gives vital condition information of equipment and structures. So, pattern recognition algorithms can perform an accurate diagnosis, through an adequate segmentation. In this paper the Expectation Maximization...
Predicting the sub-cellular localization of a protein can provide useful information to uncover its molecular functions. In this sense, numerous prediction techniques have been developed, which usually have been focused on global information of the protein or sequence alignments. However, several studies have shown that the functional nature of proteins is ruled by conserved sub-sequence patterns...
Predict the function of unknown proteins is one of the principal goals in computational biology. The subcellular localization of a protein allows further understanding its structure and molecular function. Numerous prediction techniques have been developed, usually focusing on global information of the protein. But, predictions can be done through the identification of functional sub-sequence patterns...
Estimating the function of unknown proteins is one of the main goals in bioinformatics. In the last few years, many pattern recognition algorithms have been developed, usually focusing on global information of the protein. Conversely, predictions can be done through the identification of functional sub-sequence patterns or motifs, but most methods for motifs detection require a predefined fixed window...
This paper present a novel feature selection method based on a ensemble of optimal wavelet packet and learning machine (OWLM). First, the lifting schemes (LS) are used to construct a single decomposition stage of the wavelet transform (WT), these schemes are a fast and flexible implementation for the WT. Then the update and predictor operator of the LS are optimized by Genetic Algorithms (GA) and...
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