Carlos Martín-Barreiro

13 papers Journal 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Novel Hybrid Approach Using an Attention-Based Transformer + GRU Model for Predicting Cryptocurrency Prices.
CoRR
Esam Mahdi, Carlos Martín-Barreiro, Xavier Cabezas
2025 J jnl
Enhanced Spatial Clustering for Crime Analysis: Novel Advances in Ward-Like and SKATER Algorithms for Brazilian Public Security.
IEEE Access
Raydonal Ospina, Alexsandra Gomes De Lima, Cristiano Ferraz, Cecilia Castro, Carlos Martín-Barreiro, Víctor Leiva
2025 J jnl
Improving SVM performance through data reduction and misclassification analysis with linear programming.
Complex Intell. Syst.
Carlos Aníbal Suárez, Mauricio Castro, Mariuxi Leon, Carlos Martín-Barreiro, Michael Liut
2025 J jnl
Multi-Factor Optimization and Failure-Tolerant Design of Cable-Driven Parallel Manipulators in Deep-Sea Robotics.
IEEE Access
Asim Ghaffar, Muhammad Zia Ur Rahman, Víctor Leiva, Cecilia Castro, Carlos Martín-Barreiro
2023 J jnl
A new approach to data differential privacy based on regression models under heteroscedasticity with applications to machine learning repository data.
Inf. Sci.
Carlos Manchini, Raydonal Ospina, Víctor Leiva, Carlos Martín-Barreiro
2023 J jnl
An intelligent health monitoring and diagnosis system based on the internet of things and fuzzy logic for cardiac arrhythmia COVID-19 patients.
Comput. Biol. Medicine
Muhammad Zia Ur Rahman, Muhammad Azeem Akbar, Víctor Leiva, Abdullah Tahir, Muhammad Tanveer Riaz, Carlos Martín-Barreiro
2022 J jnl
A New Wavelet-Based Privatization Mechanism for Probability Distributions.
Sensors
Hélio M. de Oliveira, Raydonal Ospina, Víctor Leiva, Carlos Martín-Barreiro, Christophe Chesneau
2022 J jnl
On a Novel Dynamics of SEIR Epidemic Models with a Potential Application to COVID-19.
Symmetry
Maheswari Rangasamy, Christophe Chesneau, Carlos Martín-Barreiro, Víctor Leiva
2021 J jnl
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
Esam Mahdi, Víctor Leiva, Saed Mara'Beh, Carlos Martín-Barreiro
2021 J jnl
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
Xavier Cabezas, Sergio García, Carlos Martín-Barreiro, Erwin Delgado, Víctor Leiva
2021 J jnl
Disjoint and Functional Principal Component Analysis for Infected Cases and Deaths Due to COVID-19 in South American Countries with Sensor-Related Data.
Sensors
Carlos Martín-Barreiro, John Ramírez-Figueroa, Xavier Cabezas, Víctor Leiva, Ma Purificación Galindo-Villardón
2021 J jnl
Lot-Size Models with Uncertain Demand Considering Its Skewness/Kurtosis and Stochastic Programming Applied to Hospital Pharmacy with Sensor-Related COVID-19 Data.
Sensors
Fernando Rojas, Víctor Leiva, Mauricio Huerta, Carlos Martín-Barreiro
2020 J jnl
Disjoint principal component analysis by constrained binary particle swarm optimization.
CoRR
John Ramírez-Figueroa, Carlos Martín-Barreiro, Ana Belén Nieto-Librero, Victor Leiva-Sánchez, Ma Purificación Galindo-Villardón