José L. Torrecilla

According to our database, José L. Torrecilla authored at least 8 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Functional diffusion maps.

María Barroso, Carlos M. Alaíz, José L. Torrecilla, Ángela Fernández

Stat. Comput., February, 2024

scikit-fda: A <i>Python</i> Package for Functional Data Analysis.

Carlos Ramos-Carreño, José Luis Torrecilla, Miguel Carbajo-Berrocal, Pablo Marcos, Alberto Suárez

J. Stat. Softw., 2024

2023

dcor: Distance correlation and energy statistics in Python.

Carlos Ramos-Carreño, José L. Torrecilla

SoftwareX, May, 2023

2022

scikit-fda: A Python Package for Functional Data Analysis.

Carlos Ramos-Carreño, José Luis Torrecilla, Miguel Carbajo-Berrocal, Pablo Marcos, Alberto Suárez

CoRR, 2022

scikit-fda: Computational Tools for Machine Learning with Functional Data.

Carlos Ramos-Carreño, José Luis Torrecilla, Yujian Hong, Alberto Suárez

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Classification of Functional Data: A Comparative Study.

Carlos Ramos-Carreño, José Luis Torrecilla, Alberto Suárez

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2020

Optimal classification of Gaussian processes in homo- and heteroscedastic settings.

José L. Torrecilla, Carlos Ramos-Carreño, Manuel A. Sánchez-Montañés, Alberto Suárez

Stat. Comput., 2020

2016

Feature selection in functional data classification with recursive maxima hunting.

José L. Torrecilla, Alberto Suárez

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016