Marcos Matabuena

17 papers Journal 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Continuous-Time Learning of Probability Distributions: A Case Study in a Digital Trial of Young Children with Type 1 Diabetes. CoRR Antonio Álvarez-López, Marcos Matabuena
2026	J	`jnl`	Survival on Image Regression With Application to Partially Functional Distributional Representation of Physical Activity. Stat. Anal. Data Min. Rahul Ghosal, Sunwoo Emma Cho, Marcos Matabuena
2025	J	`jnl`	Conformal and kNN Predictive Uncertainty Quantification Algorithms in Metric Spaces. CoRR Gábor Lugosi, Marcos Matabuena
2025	J	`jnl`	Conformal prediction for uncertainty quantification in dynamic biological systems. PLoS Comput. Biol. Alberto Portela, Julio R. Banga, Marcos Matabuena
2025	J	`jnl`	Continuous Temporal Learning of Probability Distributions via Neural ODEs with Applications in Continuous Glucose Monitoring Data. CoRR Antonio Álvarez-López, Marcos Matabuena
2025	J	`jnl`	Functional time transformation model with applications to digital health. Comput. Stat. Data Anal. Rahul Ghosal, Marcos Matabuena, Sujit K. Ghosh
2025	J	`jnl`	Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces. CoRR Marcos Matabuena, Rahul Ghosal, Pavlo Mozharovskyi, Oscar Hernan Madrid Padilla, Jukka-Pekka Onnela
2025	J	`jnl`	Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age. CoRR Marcos Matabuena
2024	J	`jnl`	Conformal Prediction in Dynamic Biological Systems. CoRR Alberto Portela, Julio R. Banga, Marcos Matabuena
2024	J	`jnl`	Neural interval-censored survival regression with feature selection. Stat. Anal. Data Min. Carlos García-Meixide, Marcos Matabuena, Louis Abraham, Michael R. Kosorok
2024	J	`jnl`	kNN Algorithm for Conditional Mean and Variance Estimation with Automated Uncertainty Quantification and Variable Selection. CoRR Marcos Matabuena, Juan Carlos Vidal, Oscar Hernan Madrid Padilla, Jukka-Pekka Onnela
2022	J	`jnl`	Kernel machine learning methods to handle missing responses with complex predictors. Application in modelling five-year glucose changes using distributional representations. Comput. Methods Programs Biomed. Marcos Matabuena, Paulo Félix, Carlos García-Meixide, Francisco Gude
2022	J	`jnl`	Neural interval-censored Cox regression with feature selection. CoRR Carlos García-Meixide, Marcos Matabuena, Michael R. Kosorok
2021	J	`jnl`	COVID-19: Estimation of the transmission dynamics in Spain using a stochastic simulator and black-box optimization techniques. Comput. Methods Programs Biomed. Marcos Matabuena, Pablo Rodríguez-Mier, Carlos García-Meixide, Víctor Leborán
2020	J	`jnl`	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. CoRR Marcos Matabuena, Paulo Félix, Carlos Meijide-Garcia, Francisco Gude
2019	J	`jnl`	Application of Functional Data Analysis for the Prediction of Maximum Heart Rate. IEEE Access Marcos Matabuena, Juan Carlos Vidal, Philip R. Hayes, Miguel Ángel Saavedra-García, Fernando Huelin Trillo
2019	J	`jnl`	The FA Quantifier Fuzzification Mechanism: analysis of convergence and efficient implementations. CoRR Félix Díaz-Hermida, Marcos Matabuena, Juan Carlos Vidal