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Marcos Matabuena
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2020 – today
- 2025
[j6]Rahul Ghosal, Marcos Matabuena, Sujit K. Ghosh
:
Functional time transformation model with applications to digital health. Comput. Stat. Data Anal. 207: 108131 (2025)
[j5]Alberto Portela, Julio R. Banga
, Marcos Matabuena
:
Conformal prediction for uncertainty quantification in dynamic biological systems. PLoS Comput. Biol. 21(5): 1013098 (2025)
[i9]Marcos Matabuena:
Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age. CoRR abs/2501.06868 (2025)
[i8]Antonio Álvarez-López
, Marcos Matabuena:
Continuous Temporal Learning of Probability Distributions via Neural ODEs with Applications in Continuous Glucose Monitoring Data. CoRR abs/2505.08698 (2025)
[i7]Marcos Matabuena, Rahul Ghosal, Pavlo Mozharovskyi, Oscar Hernan Madrid Padilla, Jukka-Pekka Onnela:
Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces. CoRR abs/2506.08325 (2025)
[i6]Gábor Lugosi, Marcos Matabuena:
Conformal and kNN Predictive Uncertainty Quantification Algorithms in Metric Spaces. CoRR abs/2507.15741 (2025)- 2024
[j4]Carlos García-Meixide
, Marcos Matabuena, Louis Abraham, Michael R. Kosorok:
Neural interval-censored survival regression with feature selection. Stat. Anal. Data Min. 17(4) (2024)
[i5]Marcos Matabuena, Juan Carlos Vidal, Oscar Hernan Madrid Padilla, Jukka-Pekka Onnela:
kNN Algorithm for Conditional Mean and Variance Estimation with Automated Uncertainty Quantification and Variable Selection. CoRR abs/2402.01635 (2024)
[i4]Alberto Portela, Julio R. Banga, Marcos Matabuena:
Conformal Prediction in Dynamic Biological Systems. CoRR abs/2409.02644 (2024)- 2022
[j3]Marcos Matabuena
, Paulo Félix, Carlos García-Meixide, Francisco Gude:
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. 221: 106905 (2022)
[i3]Carlos García-Meixide, Marcos Matabuena, Michael R. Kosorok:
Neural interval-censored Cox regression with feature selection. CoRR abs/2206.06885 (2022)- 2021
[j2]Marcos Matabuena
, Pablo Rodríguez-Mier, Carlos García-Meixide, Víctor Leborán:
COVID-19: Estimation of the transmission dynamics in Spain using a stochastic simulator and black-box optimization techniques. Comput. Methods Programs Biomed. 211: 106399 (2021)- 2020
[i2]Marcos Matabuena, Paulo Félix, Carlos Meijide-Garcia, Francisco Gude:
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 abs/2012.06564 (2020)
2010 – 2019
- 2019
[j1]Marcos Matabuena, Juan Carlos Vidal
, Philip R. Hayes
, Miguel Ángel Saavedra-García
, Fernando Huelin Trillo:
Application of Functional Data Analysis for the Prediction of Maximum Heart Rate. IEEE Access 7: 121841-121852 (2019)
[i1]Félix Díaz-Hermida, Marcos Matabuena, Juan Carlos Vidal:
The FA Quantifier Fuzzification Mechanism: analysis of convergence and efficient implementations. CoRR abs/1902.02132 (2019)
Coauthor Index

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