Jorge M. Arevalillo

Orcid: 0000-0003-1944-3699

According to our database1, Jorge M. Arevalillo authored at least 13 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Data science methods for response, incremental response and rate sensitivity to response modelling in banking.
Expert Syst. J. Knowl. Eng., October, 2024

2021
Skewness-Based Projection Pursuit as an Eigenvector Problem in Scale Mixtures of Skew-Normal Distributions.
Symmetry, 2021

Ensemble learning from model based trees with application to differential price sensitivity assessment.
Inf. Sci., 2021

2020
Data projections by skewness maximization under scale mixtures of skew-normal vectors.
Adv. Data Anal. Classif., 2020

2019
A machine learning approach to assess price sensitivity with application to automobile loan segmentation.
Appl. Soft Comput., 2019

Model Based Recursive Partitioning for Customized Price Optimization Analytics.
Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

2017
Identification of immune correlates of protection in Shigella infection by application of machine learning.
J. Biomed. Informatics, 2017

2013
Exploring correlations in gene expression microarray data for maximum predictive-minimum redundancy biomarker selection and classification.
Comput. Biol. Medicine, 2013

2012
A study of the effect of kurtosis on discriminant analysis under elliptical populations.
J. Multivar. Anal., 2012

2011
Uncovering Bivariate Interactions in High Dimensional Data Using Random Forests with Data Augmentation.
Fundam. Informaticae, 2011

A new method for identifying bivariate differential expression in high dimensional microarray data using quadratic discriminant analysis.
BMC Bioinform., 2011

2009
Using random forests to uncover bivariate interactions in high dimensional small data sets.
Proceedings of the ACM SIGKDD Workshop on Statistical and Relational Learning in Bioinformatics, 2009

2001
A second order approximation for the inverse of the distribution function of the sample mean.
Kybernetika, 2001


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