Jorge M. Arevalillo

Publication Activity (10 Years)

Years Active: 2001-2021
Publications (10 Years): 6

Top Topics

Ensemble Learning

Minimum Redundancy

Discriminant Analysis

Gene Expression Microarray Data

Top Venues

Comput. Biol. Medicine

J. Biomed. Informatics

Publications

Jorge M. Arevalillo
Ensemble learning from model based trees with application to differential price sensitivity assessment. Inf. Sci. 557 (2021)
Jorge M. Arevalillo, Hilario Navarro
Skewness-Based Projection Pursuit as an Eigenvector Problem in Scale Mixtures of Skew-Normal Distributions. Symmetry 13 (6) (2021)
Jorge M. Arevalillo, Hilario Navarro
Data projections by skewness maximization under scale mixtures of skew-normal vectors. Adv. Data Anal. Classif. 14 (2) (2020)
Jorge M. Arevalillo
A machine learning approach to assess price sensitivity with application to automobile loan segmentation. Appl. Soft Comput. 76 (2019)
Jorge M. Arevalillo
Model Based Recursive Partitioning for Customized Price Optimization Analytics. IbPRIA (1) (2019)
Jorge M. Arevalillo, Marcelo B. Sztein, Karen L. Kotloff, Myron M. Levine, Jakub K. Simon
Identification of immune correlates of protection in Shigella infection by application of machine learning. J. Biomed. Informatics 74 (2017)
Jorge M. Arevalillo, Hilario Navarro
Exploring correlations in gene expression microarray data for maximum predictive-minimum redundancy biomarker selection and classification. Comput. Biol. Medicine 43 (10) (2013)
Jorge M. Arevalillo, Hilario Navarro
A study of the effect of kurtosis on discriminant analysis under elliptical populations. J. Multivar. Anal. 107 (2012)
Jorge M. Arevalillo, Hilario Navarro
Uncovering Bivariate Interactions in High Dimensional Data Using Random Forests with Data Augmentation. Fundam. Informaticae 113 (2) (2011)
Jorge M. Arevalillo, Hilario Navarro
A new method for identifying bivariate differential expression in high dimensional microarray data using quadratic discriminant analysis. BMC Bioinform. 12 (S-12) (2011)
Jorge M. Arevalillo, Hilario Navarro
Using random forests to uncover bivariate interactions in high dimensional small data sets. KDD Workshop on Statistical and Relational Learning in Bioinformatics (2009)
Jorge M. Arevalillo
A second order approximation for the inverse of the distribution function of the sample mean. Kybernetika 37 (1) (2001)