Marcos Matabuena

According to our database, Marcos Matabuena authored at least 17 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Continuous-Time Learning of Probability Distributions: A Case Study in a Digital Trial of Young Children with Type 1 Diabetes.

Antonio Álvarez-López, Marcos Matabuena

CoRR, March, 2026

Survival on Image Regression With Application to Partially Functional Distributional Representation of Physical Activity.

Rahul Ghosal, Sunwoo Emma Cho, Marcos Matabuena

Stat. Anal. Data Min., 2026

2025

Conformal and kNN Predictive Uncertainty Quantification Algorithms in Metric Spaces.

Gábor Lugosi, Marcos Matabuena

CoRR, July, 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, June, 2025

Continuous Temporal Learning of Probability Distributions via Neural ODEs with Applications in Continuous Glucose Monitoring Data.

Antonio Álvarez-López, Marcos Matabuena

CoRR, May, 2025

Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age.

Marcos Matabuena

CoRR, January, 2025

Conformal prediction for uncertainty quantification in dynamic biological systems.

Alberto Portela, Julio R. Banga, Marcos Matabuena

PLoS Comput. Biol., 2025

Functional time transformation model with applications to digital health.

Rahul Ghosal, Marcos Matabuena, Sujit K. Ghosh

Comput. Stat. Data Anal., 2025

2024

Neural interval-censored survival regression with feature selection.

Carlos García-Meixide, Marcos Matabuena, Louis Abraham, Michael R. Kosorok

Stat. Anal. Data Min., August, 2024

Conformal Prediction in Dynamic Biological Systems.

Alberto Portela, Julio R. Banga, Marcos Matabuena

CoRR, 2024

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

2022

Neural interval-censored Cox regression with feature selection.

Carlos García-Meixide, Marcos Matabuena, Michael R. Kosorok

CoRR, 2022

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

2021

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

2020

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

2019

The FA Quantifier Fuzzification Mechanism: analysis of convergence and efficient implementations.

Félix Díaz-Hermida, Marcos Matabuena, Juan Carlos Vidal

CoRR, 2019

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