Buscar
Mostrando ítems 1-10 de 11
Artículo
On the design of a maintainable software development kit to implement integration solutions
(ScienceDirect, 2016-01)
Companies typically rely on applications purchased from third parties or developed at home to support their business activities. It is not uncommon that these applications were not designed taking integration into account. ...
Artículo
Energy Time Series Forecasting Based on Pattern Sequence Similarity
(IEEE, 2011)
This paper presents a new approach to forecast the behavior of time series based on similarity of pattern sequences. First, clustering techniques are used with the aim of grouping and labeling the samples from a data set. ...
Artículo
Discovering gene association networks by multi-objective evolutionary quantitative association rules
(Elsevier, 2014)
In the last decade, the interest in microarray technology has exponentially increased due to its ability to monitor the expression of thousands of genes simultaneously. The reconstruction of gene association networks ...
Artículo
Contemporary training methodologies based on evolutionary artificial neural networks with product and sigmoid neurons for classification
(IOP Press, 2016-04)
This thesis introduces three contributions to train feed-forward neural network models based on evolutionary computation for a classification task. The new methodologies have been evaluated in three-layered neural models, ...
Artículo
Trinity: On Using Trinary Trees for Unsupervised Web Data Extraction
(IEEE Xplore, 2014-06)
Web data extractors are used to extract data from web documents in order to feed automated processes. In this article, we propose a technique that works on two or more web documents generated by the same server-side template ...
Artículo
An evolutionary algorithm to discover quantitative association rules in multidimensional time series
(Springer, 2011)
An evolutionary approach for finding existing relationships among several variables of a multidimensional time series is presented in this work. The proposed model to discover these relationships is based on quantitative ...
Artículo
Smart Contract Languages: A Multivocal Mapping Study
(ACM: Association for Computing Machinery, 2022)
Blockchain is a disruptive technology that has attracted the attention of the scientific community and compa nies, as proven by the exponential growth of publications on this topic in recent years. This growing interest is ...
Artículo
Evolutionary Generalized Radial Basis Function neural networks for improving prediction accuracy in gene classification using feature selection
(Elsevier, 2012)
Radial Basis Function Neural Networks (RBFNNs) have been successfully employed in several function approximation and pattern recognition problems. The use of different RBFs in RBFNN has been reported in the literature ...
Artículo
Discovery of motifs to forecast outlier occurrence in time series
(Elsevier, 2011)
The forecasting process of real-world time series has to deal with especially unexpected values, commonly known as outliers. Outliers in time series can lead to unreliable modeling and poor forecasts. Therefore, the ...
Artículo
Sobre núcleos, distancias y similitudes entre intervalos
(Sociedad Iberoamericana de Inteligencia Artificial, 2004)
Existe un buen número de aplicaciones en las que la información a codificar viene expresada en forma de un intervalo de valores. Esto sucede, en especial, cuando se intentan procesar los datos por predicción a un cierto ...