scikit-fda: a Python package for functional data analysis C Ramos-Carreño, JL Torrecilla, M Carbajo-Berrocal, P Marcos, A Suárez arXiv preprint arXiv:2211.02566, 2022 | 32 | 2022 |
dcor: Distance correlation and energy statistics in Python C Ramos-Carreño, JL Torrecilla SoftwareX 22, 101326, 2023 | 17 | 2023 |
Optimal classification of Gaussian processes in homo-and heteroscedastic settings JL Torrecilla, C Ramos-Carreño, M Sánchez-Montañés, A Suárez Statistics and Computing, 1-21, 2020 | 10 | 2020 |
GAA-UAM/scikit-fda: Functional Data Analysis in Python C Ramos-Carreño, A Suárez, JL Torrecilla, MC Berrocal, PM Manchón, ... URL: https://doi. org/10.5281/zenodo 7573921, 2019 | 6 | 2019 |
scikit-fda: Computational Tools for Machine Learning with Functional Data C Ramos-Carreño, JL Torrecilla, Y Hong, A Suárez 2022 IEEE 34th International Conference on Tools with Artificial …, 2022 | 4 | 2022 |
Classification of Functional Data: A Comparative Study C Ramos-Carreño, JL Torrecilla, A Suárez 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 2 | 2022 |
rdata: A Python library for R datasets C Ramos-Carreño, T Rossi Journal of Open Source Software 9 (104), 7540, 2024 | | 2024 |
Machine learning with functional data: methodological advances and computational tools C Ramos Carreño | | 2023 |
Fuzzy C-means: Differences on Clustering Behavior between High Dimensional and Functional Data (Student Abstract) C Ramos-Carreño Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16310 …, 2023 | | 2023 |
Scikit-fda: A Python package for Functional Data Analysis C Ramos-Carreño, JL Torrecilla, A Suárez III International Workshop on Advances in Functional Data Analysis 5, 2019 | | 2019 |
Feature selection methods for classification with functional data C Ramos Carreño | | 2017 |
Compilador para lenguaje basado en continuaciones C Ramos Carreño | | 2015 |