Marcos Matabuena
Marcos Matabuena
CiTIUS (Centro Singular de Investigación en Tecnoloxías Intelixentes)
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Cited by
Cited by
A 6-minute sub-maximal run test to predict VO2 max
M Matabuena, JC Vidal, PR Hayes, F Huelin Trillo
Journal of sports sciences 36 (22), 2531-2536, 2018
Top-level karate: analysis of frequency and successfulness of katas in K1 Premiere League
D Cierna Augustovicova, J Argajova, M Saavedra García, ...
Ido Movement for Culture. Journal of Martial Arts Anthropology 18 (4), 46-53, 2018
Neutrophil to lymphocyte ratio and breast cancer risk: analysis by subtype and potential interactions
M Gago-Dominguez, M Matabuena, CM Redondo, SP Patel, A Carracedo, ...
Scientific reports 10 (1), 1-11, 2020
A new approach to study the relative age effect with the use of additive logistic regression models: A case of study of FIFA football tournaments (1908-2012)
M Saavedra-García, M Matabuena, A Montero-Seoane, ...
PloS one 14 (7), e0219757, 2019
An improved version of the classical banister model to predict changes in physical condition
M Matabuena, R Rodríguez-López
Bulletin of mathematical biology 81 (6), 1867-1884, 2019
COVID-19: estimating spread in Spain solving an inverse problem with a probabilistic model
M Matabuena, C Meijide-García, P Rodríguez-Mier, V Leborán
arXiv preprint arXiv:2004.13695, 2020
Application of functional data analysis for the prediction of maximum heart rate
M Matabuena, JC Vidal, PR Hayes, M Saavedra-García, FH Trillo
IEEE Access 7, 121841-121852, 2019
A new approach to predict changes in physical condition: A new extension of the classical Banister model
M Matabuena, R Rodriguez
arXiv preprint arXiv:1612.08591, 2016
Glucodensities: A new representation of glucose profiles using distributional data analysis
M Matabuena, A Petersen, JC Vidal, F Gude
Statistical methods in medical research, 0962280221998064, 2021
Reassessment of fluctuating dental asymmetry in Down syndrome
MM Rodríguez, PD Dios, C Cadarso-Suárez, M Diniz-Freitas, MO Rial, ...
Scientific reports 7 (1), 1-9, 2017
Predicting the physiological limits of sport stress tests with functional data
M Matabuena, M Francisco-Fernández, R Cao
Functional Statistics and Related Fields, 179-187, 2017
Modelado estadístico y matemático en la epidemia del coronavirus: algunas consideraciones para minimizar los sesgos en los resultados
M Matabuena, OHM Padilla, FJ Gonzalez-Barcala
Archivos De Bronconeumologia 56 (9), 601, 2020
Energy distance and kernel mean embeddings for two-sample survival testing
M Matabuena, OHM Padilla
arXiv preprint arXiv:1912.04160, 2019
Prediction of Maximal Oxygen Uptake From Submaximal Exercise Testing in Chronic Respiratory Patients. New Perspectives
M Matabuena, PR Hayes, L Puente-Maestu
Archivos de bronconeumologia 55 (10), 507-508, 2019
The FA quantifier fuzzification mechanism: analysis of convergence and efficient implementations
F Díaz-Hermida, M Matabuena, JC Vidal
arXiv preprint arXiv:1902.02132, 2019
Distributional data analysis with accelerometer data in a NHANES database with nonparametric survey regression models
M Matabuena, A Petersen
arXiv preprint arXiv:2104.01165, 2021
Statistical and mathematical modeling in the coronavirus epidemic: some considerations to minimize biases in the results
M Matabuena, OHM Padilla, FJ Gonzalez-Barcala
Archivos de bronconeumologia 56 (9), 601, 2020
Mathematical estimation of COVID-19 prevalence in Latin America
M Matabuena, PR Mier, C Meijide-Garcia, V Leboran, F Gude
medRxiv, 2020
Energy distance and kernel mean embedding for two sample survival test
M Matabuena
arXiv preprint arXiv:1901.00833, 2019
Comunicaciones Orales I Congreso de Alimentación, Nutrición y Dietética
Revista Española de Nutrición Humana y Dietética 21, 76-88, 2017
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