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Chapter and Conference Paper
Evaluation as a Continuous Improvement Process in the Learning of Programming Languages
Learning a programming language requires a great deal of effort in both the theoretical and practical domains. As far as theory is concerned, a knowledge of the methods, concepts, attributes that are character...
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Chapter
Differential Gene Expression Analysis of RNA-seq Data Using Machine Learning for Cancer Research
Transcriptome analysis, as a tool for the characterization and understanding of phenotypic alterations in molecular biology, plays an integral role in the understanding of complex, multi-factorial and heteroge...
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Article
Open AccessTexture analysis in gel electrophoresis images using an integrative kernel-based approach
Texture information could be used in proteomics to improve the quality of the image analysis of proteins separated on a gel. In order to evaluate the best technique to identify relevant textures, we use severa...
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Article
Texture classification using feature selection and kernel-based techniques
The interpretation of the results in a classification problem can be enhanced, specially in image texture analysis problems, by feature selection techniques, knowing which features contribute more to the class...
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Article
Classification of signals by means of Genetic Programming
This paper describes a new technique for signal classification by means of Genetic Programming (GP). The novelty of this technique is that no prior knowledge of the signals is needed to extract the features. I...
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Chapter and Conference Paper
Texture Classification Using Kernel-Based Techniques
In this paper, a high-dimensional textural heterogenous dataset is evaluated. This problem should be studied with specific techniques or a solution for decreasing dimensionality should be applied in order to i...
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Chapter and Conference Paper
Approach of Genetic Algorithms with Grou** into Species Optimized with Predator-Prey Method for Solving Multimodal Problems
Over recent years, Genetic Algorithms have proven to be an appropriate tool for solving certain problems. However, it does not matter if the search space has several valid solutions, as their classic approach ...
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Chapter and Conference Paper
Automatic Generation of Biped Walk Behavior Using Genetic Algorithms
Controlling a biped robot with several degrees of freedom is a challenging task that takes the attention of several researchers in the fields of biology, physics, electronics, computer science and mechanics. F...
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Chapter and Conference Paper
A Comparison Between ANN Generation and Training Methods and Their Development by Means of Graph Evolution: 2 Sample Problems
This paper presents a study in which a new technique for automatically develo** Artificial Neural Networks (ANNs) by means of Evolutionary Computation (EC) tools is compared with the traditional evolutionary...
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Chapter and Conference Paper
A Computational Morphogenesis Approach to Simple Structure Development
This paper presents a new model for computational embryology that mimics the behaviour of biological cells, whose characteristics can be applied to the solution of computational problems. The presented tests a...
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Chapter and Conference Paper
Diversity and Multimodal Search with a Hybrid Two-Population GA: An Application to ANN Development
Being based on the theory of evolution and natural selection, the Genetic Algorithms (GA) represent a technique that has been proved as good enough for the resolution of those problems that require a search th...
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Chapter and Conference Paper
Neural Networks & Antennas Design: an Application for Avoiding Interferences
The presence of interferences is an usual problem when somebody is working with antennas. In order to alleviate their effects, it is common to lessen the received energy in the direction of arrival of this unw...
