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ORCIDJorge M. Arevalillo
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2020 – today
- 2024
[j11]Jorge M. Arevalillo
:
Data science methods for response, incremental response and rate sensitivity to response modelling in banking. Expert Syst. J. Knowl. Eng. 41(10) (2024)- 2021
- [j10]Jorge M. Arevalillo:
Ensemble learning from model based trees with application to differential price sensitivity assessment. Inf. Sci. 557: 16-33 (2021) - [j9]Jorge M. Arevalillo, Hilario Navarro:
Skewness-Based Projection Pursuit as an Eigenvector Problem in Scale Mixtures of Skew-Normal Distributions. Symmetry 13(6): 1056 (2021) - 2020
- [j8]Jorge M. Arevalillo, Hilario Navarro:
Data projections by skewness maximization under scale mixtures of skew-normal vectors. Adv. Data Anal. Classif. 14(2): 435-461 (2020)
2010 – 2019
- 2019
- [j7]Jorge M. Arevalillo:
A machine learning approach to assess price sensitivity with application to automobile loan segmentation. Appl. Soft Comput. 76: 390-399 (2019) - [c2]Jorge M. Arevalillo:
Model Based Recursive Partitioning for Customized Price Optimization Analytics. IbPRIA (1) 2019: 113-124 - 2017
- [j6]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: 1-9 (2017) - 2013
- [j5]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): 1437-1443 (2013) - 2012
- [j4]Jorge M. Arevalillo, Hilario Navarro:
A study of the effect of kurtosis on discriminant analysis under elliptical populations. J. Multivar. Anal. 107: 53-63 (2012) - 2011
- [j3]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): S6 (2011) - [j2]Jorge M. Arevalillo, Hilario Navarro:
Uncovering Bivariate Interactions in High Dimensional Data Using Random Forests with Data Augmentation. Fundam. Informaticae 113(2): 97-115 (2011)
2000 – 2009
- 2009
- [c1]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: 3-6 - 2001
- [j1]Jorge M. Arevalillo:
A second order approximation for the inverse of the distribution function of the sample mean. Kybernetika 37(1): 91-102 (2001)
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