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Now showing items 11-20 of 36
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 ...
Two-Dimensional Gel Electrophoresis Image Registration Using Block-Matching Techniques and Deformation Models
(Elsevier, 2014-03-05)
[Abstract] Block-matching techniques have been widely used in the task of estimating displacement in medical images, and they represent the best approach in scenes with deformable structures such as tissues, fluids, and ...
SNP locator: a candidate SNP selection tool
(Inderscience, 2013)
[Abstract] In this work, a data integration approach using a federated model based on a service oriented architecture (SOA) is presented. The BioMOBY middleware was used to implement each service which is part of the ...
Exploring Patterns of Epigenetic Information With Data Mining Techniques
(Bentham, 2013-02-01)
[Abstract] Data mining, a part of the Knowledge Discovery in Databases process (KDD), is the process of extracting patterns from large data sets by combining methods from statistics and artificial intelligence with database ...
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 ...
Unraveling druggable cancer-driving proteins and targeted drugs using artificial intelligence and multi-omics analyses
(Nature Research, 2024-08)
[Abstract]: The druggable proteome refers to proteins that can bind to small molecules with appropriate chemical affinity, inducing a favorable clinical response. Predicting druggable proteins through screening and in ...
Artificial Neural Networks Manipulation Server: Research on the Integration of Databases and Artificial Neural Networks
(Springer U K, 2002-06)
This paper proposes a new whole and distributed integration approach between Artificial Neural Networks (ANNs) and Databases (DBs) taking into account the different stages of the former’s lifecycle (training, test and ...
Mejora continua de la calidad de la docencia a partir del análisis de los resultados de evaluación
(Asociación de Enseñantes Universitarios de la Informática (AENUI), 2018)
[Resumen] El objetivo de cualquier docente debería ser la mejora continua en sus materias. En este trabajo se muestra una aproximación para adecuar las enseñanzas a aquellos aspectos más necesarios dentro de una materia. ...
