36 citations · 37 across the 4 of their papers we have counts for
7 papers
Towards a mathematical framework to inform Neural Network modelling via Polynomial Regression
Pablo Morala, Jenny Alexandra Cifuentes, Rosa E. Lillo +1
Even when neural networks are widely used in a large number of applications, they are still considered as black boxes and present some difficulties for dimensioning or evaluating t…
Automatic elimination of the pectoral muscle in mammograms based on anatomical features
Jairo A. Ayala-Godoy, Rosa E. Lillo, Juan Romo
Digital mammogram inspection is the most popular technique for early detection of abnormalities in human breast tissue. When mammograms are analyzed through a computational method,…
Robust regression based on shrinkage estimators
Elisa Cabana, Rosa E. Lillo, Henry Laniado
A robust estimator is proposed for the parameters that characterize the linear regression problem. It is based on the notion of shrinkages, often used in Finance and previously stu…
Multivariate outlier detection based on a robust Mahalanobis distance with shrinkage estimators
Elisa Cabana, Rosa E. Lillo, Henry Laniado
A collection of robust Mahalanobis distances for multivariate outlier detection is proposed, based on the notion of shrinkage. Robust intensity and scaling factors are optimally es…
Homogeneity test for functional data
Ramón Flores, Rosa Lillo, Juan Romo
In the context of functional data analysis, we propose new two sample tests for homogeneity. Based on some well-known depth measures, we construct four different statistics in orde…
The Mahalanobis distance for functional data with applications to classification
Esdras Joseph, Pedro Galeano, Rosa E. Lillo
This paper presents a general notion of Mahalanobis distance for functional data that extends the classical multivariate concept to situations where the observed data are points be…