Application of Functional Data Analysis for the Prediction of Maximum Heart Rate. - Marcos Matabuena; Juan Carlos Vidal; Philip R. Hayes; Miguel Ángel Saavedra-García; Fernando Huelin Trillo (IEEE Access, 2019)

The FA Quantifier Fuzzification Mechanism: analysis of convergence and efficient implementations. - Félix Díaz-Hermida; Marcos Matabuena; Juan Carlos Vidal (CoRR, 2019)

Glucose values prediction five years ahead with a new framework of missing responses in reproducing kernel Hilbert spaces, and the use of continuous glucose monitoring technology. - Marcos Matabuena; Paulo Félix; Carlos Meijide-Garcia; Francisco Gude (CoRR, 2020)

COVID-19: Estimation of the transmission dynamics in Spain using a stochastic simulator and black-box optimization techniques. - Marcos Matabuena; Pablo Rodríguez-Mier; Carlos García-Meixide; Víctor Leborán (Comput. Methods Programs Biomed., 2021)

Kernel machine learning methods to handle missing responses with complex predictors. Application in modelling five-year glucose changes using distributional representations. - Marcos Matabuena; Paulo Félix; Carlos García-Meixide; Francisco Gude (Comput. Methods Programs Biomed., 2022)

Neural interval-censored Cox regression with feature selection. - Carlos García-Meixide; Marcos Matabuena; Michael R. Kosorok (CoRR, 2022)

kNN Algorithm for Conditional Mean and Variance Estimation with Automated Uncertainty Quantification and Variable Selection. - Marcos Matabuena; Juan Carlos Vidal; Oscar Hernan Madrid Padilla; Jukka-Pekka Onnela (CoRR, 2024)

Conformal Prediction in Dynamic Biological Systems. - Alberto Portela; Julio R. Banga; Marcos Matabuena (CoRR, 2024)

Neural interval-censored survival regression with feature selection. - Carlos García-Meixide; Marcos Matabuena; Louis Abraham; Michael R. Kosorok (Stat. Anal. Data Min., 2024)

Functional time transformation model with applications to digital health. - Rahul Ghosal; Marcos Matabuena; Sujit K. Ghosh (Comput. Stat. Data Anal., 2025)

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age. - Marcos Matabuena (CoRR, 2025)

Continuous Temporal Learning of Probability Distributions via Neural ODEs with Applications in Continuous Glucose Monitoring Data. - Antonio Álvarez-López; Marcos Matabuena (CoRR, 2025)

Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces. - Marcos Matabuena; Rahul Ghosal; Pavlo Mozharovskyi; Oscar Hernan Madrid Padilla; Jukka-Pekka Onnela (CoRR, 2025)

Conformal and kNN Predictive Uncertainty Quantification Algorithms in Metric Spaces. - Gábor Lugosi; Marcos Matabuena (CoRR, 2025)