2014
Data mining tools for predicting the risk of toxicity in prostate cancer patients treated with radiation therapy Artículo de revista
En: Radiotherapy Oncology, vol. 111, no 1, pp. S30, 2014, (IF: 4.317, Q1 11/125).
Discovering gene association networks by multi-objective evolutionary quantitative association rules Artículo de revista
En: Journal of Computer and Systems Sciences, vol. 89, no 1, pp. 118-136, 2014, (JCR (2014): , Q2).
Discovering quantitative association rules: A novel approach based on evolutionary algorithms Artículo de revista
En: AI Communications, vol. 27, no 2, pp. 153-165, 2014, (JCR (2014): 0.547, Q4).
Evolutionary Biclustering of Gene Expression Data: Shifting and Scaling Pattern-based Evaluation Artículo de revista
En: AI Communications, vol. 27, no 3, pp. 288-290, 2014, (IF 0.547 Q4 111/123).
Evolutionary decision rules for predicting protein contact maps Artículo de revista
En: Pattern Anal. Appl., vol. 17, no 4, pp. 725-737, 2014, (JCR (2014): 0.646).
Evolutionary feature selection to estimate forest stand variables using LiDAR Artículo de revista
En: International Journal of Applied Earth Observation and Geoinformation., vol. 26, no 2, pp. 119-131, 2014, (JCR(2014): 2.6 Q1 3/28 Remote Sensing).
Mining 3D patterns from gene expression temporal data: a new tricluster evaluation measure Artículo de revista
En: The Scientific World Journal, vol. 1, pp. 453, 2014, (IF: Q1 13/59).
Selecting the best measures to discover quantitative association rules Artículo de revista
En: Neurocomputing, vol. 126, pp. 3-14, 2014, (JCR (2014): 2.083, Q2).
Transcriptional response to cardiac injury in the zebrafish: systematic identification of genes with highly concordant activity across in vivo models. Artículo de revista
En: BMC Genomics, vol. 15, no 896, pp. 852-867, 2014, (IF: 26/163 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY).
TriGen: A genetic algorithm to mine triclusters in temporal gene expression data Artículo de revista
En: Neurocomputing, vol. 132, pp. 42-53, 2014, (IF: 2.083 Q/123).
2013
A Study of Subgroup Discovery Approaches for Defect Prediction Artículo de revista
En: Information and Software Technology, vol. 55, no 10, pp. 1810-1822, 2013, (IF 1.328, 31/105 Soft Eng Q2, 51/135 Inf Sys Q2).
Configurable Pattern-based Evolutionary Biclustering of Gene Expression Data Artículo de revista
En: Algorithms for Molecular Biology, vol. 8, no 1, pp. 4-26, 2013, (IF 1.857 Q2 19/52).
Determining the best set of seismicity indicators to predict earthquakes. Two case studies: Chile and the Iberian Peninsula Artículo de revista
En: Knowledge-Based Systems, vol. 50, pp. 198-210, 2013, (IF: 3.058 Q/121).
Earthquake prediction in seismogenic areas of the Iberian Peninsula based on computational intelligence Artículo de revista
En: Tectonophysics, vol. 593, pp. 121-134, 2013.
Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems Artículo de revista
En: Neurocomputing, vol. 114, no 19, pp. 107-117, 2013, (JCR (2013): 2.005, Q1).
Finding Improved Local Minima of Power System Optimization Problems by Interior-Point Methods Artículo de revista
En: IEEE Transactions on Power Systems, vol. 18, no 3, pp. 238-244, 2013, (IF: 3.530).
Modelling stand biomass fractions in Galician Eucalyptus globulus plantations by use of different LiDAR pulse densities Artículo de revista
En: Forest Systems, vol. 22, no 3, pp. 510-525, 2013, (JCR (2013): 0.620 Q3 40/66 FORESTRY).
Neural networks to predict earthquakes in Chile Artículo de revista
En: Applied Soft Computing, vol. 13, no 2, pp. 1314-1328, 2013, (IF 2.61).
2012
An effective measure for assessing the quality of biclusters Artículo de revista
En: Computers in Biology and Medicine, vol. 42, no 2, pp. 245-256, 2012, (IF 1.162 Q3 60/100).
Evolutionary Generalized Radial Basis Function neural networks for improving prediction accuracy in gene classification using feature selection Artículo de revista
En: Applied Soft Computing, vol. 12, no 6, pp. 1787-1800, 2012, (IF 2.140, 18/100 Int App Q1, 23/115 Art Int Q1).