Optimal classification of Gaussian processes in homo- and heteroscedastic settings. - José L. Torrecilla; Carlos Ramos-Carreño; Manuel A. Sánchez-Montañés; Alberto Suárez 001 (Stat. Comput., 2020)

Classification of Functional Data: A Comparative Study. - Carlos Ramos-Carreño; José Luis Torrecilla; Alberto Suárez 001 (ICMLA, 2022)

scikit-fda: Computational Tools for Machine Learning with Functional Data. - Carlos Ramos-Carreño; José Luis Torrecilla; Yujian Hong; Alberto Suárez 001 (ICTAI, 2022)

scikit-fda: A Python Package for Functional Data Analysis. - Carlos Ramos-Carreño; José Luis Torrecilla; Miguel Carbajo-Berrocal; Pablo Marcos; Alberto Suárez 001 (CoRR, 2022)

Fuzzy C-means: Differences on Clustering Behavior between High Dimensional and Functional Data (Student Abstract). - Carlos Ramos-Carreño (AAAI, 2023)

dcor: Distance correlation and energy statistics in Python. - Carlos Ramos-Carreño; José L. Torrecilla (SoftwareX, 2023)

scikit-fda: A Python Package for Functional Data Analysis. - Carlos Ramos-Carreño; José Luis Torrecilla; Miguel Carbajo-Berrocal; Pablo Marcos; Alberto Suárez 001 (J. Stat. Softw., 2024)

rdata: A Python library for R datasets. - Carlos Ramos-Carreño; Tuomas Rossi (J. Open Source Softw., 2024)