Using random forests to uncover bivariate interactions in high dimensional small data sets. - Jorge M. Arevalillo; Hilario Navarro (KDD Workshop on Statistical and Relational Learning in Bioinformatics, 2009)

Analyzing the effect of introducing a kurtosis parameter in Gaussian Bayesian networks. - Paloma Main; Hilario Navarro (Reliab. Eng. Syst. Saf., 2009)

A new method for identifying bivariate differential expression in high dimensional microarray data using quadratic discriminant analysis. - Jorge M. Arevalillo; Hilario Navarro (BMC Bioinform., 2011)

Evaluating the difference between graph structures in Gaussian Bayesian networks. - Miguel Ángel Gómez-Villegas; Paloma Main; Hilario Navarro; Rosario Susi (Expert Syst. Appl., 2011)

Uncovering Bivariate Interactions in High Dimensional Data Using Random Forests with Data Augmentation. - Jorge M. Arevalillo; Hilario Navarro (Fundam. Informaticae, 2011)

A study of the effect of kurtosis on discriminant analysis under elliptical populations. - Jorge M. Arevalillo; Hilario Navarro (J. Multivar. Anal., 2012)

Assessing the effect of kurtosis deviations from Gaussianity on conditional distributions. - Miguel Ángel Gómez-Villegas; Paloma Main; Hilario Navarro; Rosario Susi (Appl. Math. Comput., 2013)

Exploring correlations in gene expression microarray data for maximum predictive-minimum redundancy biomarker selection and classification. - Jorge M. Arevalillo; Hilario Navarro (Comput. Biol. Medicine, 2013)

Sensitivity to hyperprior parameters in Gaussian Bayesian networks. - Miguel Ángel Gómez-Villegas; Paloma Main; Hilario Navarro; Rosario Susi (J. Multivar. Anal., 2014)

Data projections by skewness maximization under scale mixtures of skew-normal vectors. - Jorge M. Arevalillo; Hilario Navarro (Adv. Data Anal. Classif., 2020)

Skewness-Based Projection Pursuit as an Eigenvector Problem in Scale Mixtures of Skew-Normal Distributions. - Jorge M. Arevalillo; Hilario Navarro (Symmetry, 2021)