Beatriz Pateiro-López

11 papers C 1Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
ASML: An R Package for Algorithm Selection with Machine Learning.
R J.
Ignacio Gómez-Casares, Beatriz Pateiro-López, Brais González-Rodríguez, Julio González-Díaz
2026 J jnl
On consistent estimation of dimension values.
J. Multivar. Anal.
Alejandro Cholaquidis, Antonio Cuevas, Beatriz Pateiro-López
2023 J jnl
Learning for Spatial Branching: An Algorithm Selection Approach.
INFORMS J. Comput.
Bissan Ghaddar, Ignacio Gómez-Casares, Julio González-Díaz, Brais González-Rodríguez, Beatriz Pateiro-López, Sofía Rodríguez-Ballesteros
2022 J jnl
Learning for Spatial Branching: An Algorithm Selection Approach.
CoRR
Bissan Ghaddar, Ignacio Gómez-Casares, Julio González-Díaz, Brais González-Rodríguez, Beatriz Pateiro-López, Sofía Rodríguez-Ballesteros
2019 J jnl
Sparse Matrix Classification on Imbalanced Datasets Using Convolutional Neural Networks.
IEEE Access
Juan Carlos Pichel, Beatriz Pateiro-López
2018 C conf
A New Approach for Sparse Matrix Classification Based on Deep Learning Techniques.
CLUSTER
Juan Carlos Pichel, Beatriz Pateiro-López
2016 J jnl
Shape classification based on interpoint distance distributions.
J. Multivar. Anal.
José R. Berrendero, Antonio Cuevas, Beatriz Pateiro-López
2014 J jnl
On the estimation of the medial axis and inner parallel body.
J. Multivar. Anal.
Antonio Cuevas, Pamela Llop, Beatriz Pateiro-López
2014 J jnl
Predicting species distributions in new areas or time periods with alpha-shapes.
Ecol. Informatics
César Capinha, Beatriz Pateiro-López
2012 J jnl
A multivariate uniformity test for the case of unknown support.
Stat. Comput.
José R. Berrendero, Antonio Cuevas, Beatriz Pateiro-López
2012 J jnl
Quantiles for finite and infinite dimensional data.
J. Multivar. Anal.
Ricardo Fraiman, Beatriz Pateiro-López