Carlos Martin-Barreiro

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 7

Top Topics

Coronavirus Disease

Convolutional Neural Network

Machine Learning

Cardiac Surgery

Top Venues

Sensors (Basel, Switzerland)

This page only lists publications with an associated author ORCID identifier.

Publications

Thalytta Cavalcante, Raydonal Ospina, Víctor Leiva, Xavier Cabezas, Carlos Martin-Barreiro
Weibull Regression and Machine Learning Survival Models: Methodology, Comparison, and Application to Biomedical Data Related to Cardiac Surgery. Biology 12 (3) (2023)
Thalytta Cavalcante, Raydonal Ospina, Víctor Leiva, Xavier Cabezas, Carlos Martin-Barreiro
Weibull Regression and Machine Learning Survival Models: Methodology, Comparison, and Application to Biomedical Data Related to Cardiac Surgery. Biology 12 (3) (2023)
Hélio M de Oliveira, Raydonal Ospina, Víctor Leiva, Carlos Martin-Barreiro, Christophe Chesneau
A New Wavelet-Based Privatization Mechanism for Probability Distributions. Sensors (Basel, Switzerland) 22 (10) (2022)
Fernando Rojas, Víctor Leiva, Mauricio Huerta, Carlos Martin-Barreiro
Lot-Size Models with Uncertain Demand Considering Its Skewness/Kurtosis and Stochastic Programming Applied to Hospital Pharmacy with Sensor-Related COVID-19 Data. Sensors (Basel, Switzerland) 21 (15) (2021)
Carlos Martin-Barreiro, John A Ramirez-Figueroa, Xavier Cabezas, Víctor Leiva, M Purificación Galindo-Villardón
Disjoint and Functional Principal Component Analysis for Infected Cases and Deaths Due to COVID-19 in South American Countries with Sensor-Related Data. Sensors (Basel, Switzerland) 21 (12) (2021)
Esam Mahdi, Víctor Leiva, Saed Mara'Beh, Carlos Martin-Barreiro
A New Approach to Predicting Cryptocurrency Returns Based on the Gold Prices with Support Vector Machines during the COVID-19 Pandemic Using Sensor-Related Data. Sensors (Basel, Switzerland) 21 (18) (2021)
Xavier Cabezas, Sergio García, Carlos Martin-Barreiro, Erwin Delgado, Víctor Leiva
A Two-Stage Location Problem with Order Solved Using a Lagrangian Algorithm and Stochastic Programming for a Potential Use in COVID-19 Vaccination Based on Sensor-Related Data. Sensors (Basel, Switzerland) 21 (16) (2021)