36 citations · 60 across the 11 of their papers we have counts for
5 papers · 1 filter
NN2Poly: A polynomial representation for deep feed-forward artificial neural networks
Pablo Morala, Jenny Alexandra Cifuentes, Rosa E. Lillo +1
Interpretability of neural networks and their underlying theoretical behavior remain an open field of study even after the great success of their practical applications, particular…
Asgl: A Python Package for Penalized Linear and Quantile Regression
Álvaro Méndez Civieta, M. Carmen Aguilera-Morillo, Rosa E. Lillo
asgl is an open-source Python package that offers a robust and versatile framework for fitting a variety of regression models including linear, logistic, and, notably, quantile reg…
Fast Partial Quantile Regression
Alvaro Mendez Civieta, M. Carmen Aguilera-Morillo, Rosa E. Lillo
Partial least squares (PLS) is a dimensionality reduction technique used as an alternative to ordinary least squares (OLS) in situations where the data is colinear or high dimensio…
Functional clustering via multivariate clustering
Belén Pulido, Alba María Franco-Pereira, Rosa Elvira Lillo
Clustering techniques applied to multivariate data are a very useful tool in Statistics and have been fully studied in the literature. Nevertheless, these clustering methodologies…
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…