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Automatic Seizure Detection Based on Star Graph Topological Indices
(Elsevier, 2012-08-15)
[Abstract] The recognition of seizures is very important for the diagnosis of patients with epilepsy. The seizure is a process of rhythmic discharge in brain and occurs rarely and unpredictably. This behavior generates a ...
Machine Learning Techniques for Single Nucleotide Polymorphism—Disease Classification Models in Schizophrenia
(Molecular Diversity Preservation International, 2010)
[Abstract] Single nucleotide polymorphisms (SNPs) can be used as inputs in disease computational studies such as pattern searching and classification models. Schizophrenia is an example of a complex disease with an important ...
Improvement of Epitope Prediction Using Peptide Sequence Descriptors and Machine Learning
(MDPI, 2019)
[Abstract] In this work, we improved a previous model used for the prediction of proteomes as new
B-cell epitopes in vaccine design. The predicted epitope activity of a queried peptide is based on its
sequence, a known ...
Kernel-Based Feature Selection Techniques for Transport Proteins Based on Star Graph Topological Indices
(Bentham, 2013)
[Abstract] The transport of the molecules inside cells is a very important topic, especially in Drug Metabolism. The experimental testing of the new proteins for the transporter molecular function is expensive and inefficient ...
Improving Enzyme Regulatory Protein Classification by Means of SVM-RFE Feature Selection
(Royal Society of Chemistry, 2014-01-14)
[Abstract] Enzyme regulation proteins are very important due to their involvement in many biological processes that sustain life. The complexity of these proteins, the impossibility of identifying direct quantification ...
Random Forest Classification Based on Star Graph Topological Indices for Antioxidant Proteins
(Elsevier, 2012-10-29)
[Abstract] Aging and life quality is an important research topic nowadays in areas such as life sciences, chemistry, pharmacology, etc. People live longer, and, thus, they want to spend that extra time with a better quality ...
Net-Net AutoML Selection of Artificial Neural Network Topology for Brain Connectome Prediction
(MDPI, 2020-02-14)
[Abstract]
Brain Connectome Networks (BCNs) are defined by brain cortex regions (nodes) interacting with others by electrophysiological co-activation (edges). The experimental prediction of new interactions in BCNs ...
Automatic feature extraction using genetic programming: An application to epileptic EEG classification
(Elsevier, 2011-08)
[Abstract]: This paper applies genetic programming (GP) to perform automatic feature extraction from original feature database with the aim of improving the discriminatory performance of a classifier and reducing the input ...
Rudeva: una herramienta para la implantación de rúbricas de evaluación
(Universidade da Coruña, Cufie, 2020)
[Resumen]: En el proceso educativo, uno de los procesos más importantes en el proceso educativo y, a la vez más costosos en cuanto al tiempo dedicado es el relativo a la evaluación (de la Garza, 2004). Sobre todo cuando ...
