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Belen Martin-Barragan
Belen Martin-Barragan
Geverifieerd e-mailadres voor ed.ac.uk
Titel
Geciteerd door
Geciteerd door
Jaar
Correlations between oil and stock markets: a wavelet-based approach
B Martín-Barragán, SB Ramos, H Veiga
Economic modelling 50, 212–227, 2015
932015
Interpretable support vector machines for functional data
B Martin-Barragan, R Lillo, J Romo
European Journal of Operational Research 232 (1), 146-155, 2014
832014
A nested heuristic for parameter tuning in Support Vector Machines
E Carrizosa, B Martín-Barragán, D Romero Morales
Computers & Operations Research 43, 328-334, 2014
60*2014
Detecting relevant variables and interactions in supervised classification
E Carrizosa, B Martín-Barragán, DR Morales
European Journal of Operational Research 213 (1), 260-269, 2011
492011
Binarized support vector machines
E Carrizosa, B Martin-Barragan, DR Morales
INFORMS Journal on Computing 22 (1), 154-167, 2010
462010
A simple heuristic for perishable item inventory control under non-stationary stochastic demand
A Gutierrez-Alcoba, R Rossi, B Martin-Barragan, EMT Hendrix
International Journal of Production Research, 1-13, 2016
422016
Variable selection in classification for multivariate functional data
R Blanquero, E Carrizosa, A Jiménez-Cordero, B Martín-Barragán
Information Sciences 481, 445-462, 2019
342019
Functional-bandwidth kernel for Support Vector Machine with Functional Data: An alternating optimization algorithm
R Blanquero, E Carrizosa, A Jiménez-Cordero, B Martín-Barragán
European Journal of Operational Research 275 (1), 195-207, 2019
30*2019
Multi-group support vector machines with measurement costs: A biobjective approach
E Carrizosa, B Martin-Barragan, DR Morales
Discrete Applied Mathematics 156 (6), 950-966, 2008
282008
Computing non-stationary (s, S) policies using mixed integer linear programming
M Xiang, R Rossi, B Martin-Barragan, SA Tarim
European Journal of Operational Research 271 (2), 490-500, 2018
272018
On sparse ensemble methods: An application to short-term predictions of the evolution of COVID-19
S Benítez-Peña, E Carrizosa, V Guerrero, MD Jiménez-Gamero, ...
European Journal of Operational Research 295 (2), 648-663, 2021
242021
On the selection of the globally optimal prototype subset for nearest-neighbor classification
E Carrizosa, B Martín-Barragán, F Plastria, DR Morales
INFORMS Journal on Computing 19 (3), 470-479, 2007
192007
Selection of time instants and intervals with support vector regression for multivariate functional data
R Blanquero, E Carrizosa, A Jiménez-Cordero, B Martín-Barragán
Computers & Operations Research 123, 105050, 2020
17*2020
Functional boxplots based on epigraphs and hypographs
B Martin-Barragan, RE Lillo, J Romo
Journal of Applied Statistics, 1-16, 2015
17*2015
Two-group classification via a biobjective margin maximization model
E Carrizosa, B Martin-Barragan
European Journal of Operational Research 173 (3), 746-761, 2006
162006
Interpretable machine learning for imbalanced credit scoring datasets
Y Chen, R Calabrese, B Martin-Barragan
European Journal of Operational Research 312 (1), 357-372, 2024
142024
A projection multi-objective SVM method for multi-class classification
L Liu, B Martín-Barragán, FJ Prieto
Computers & Industrial Engineering 158, 107425, 2021
132021
Additive Level Outliers in Multivariate GARCH Models
A Grané, H Veiga, B Martín-Barragán
Topics in Statistical Simulation, 247-255, 2014
9*2014
The dynamic bowser routing problem
R Rossi, M Tomasella, B Martin-Barragan, T Embley, C Walsh, ...
European Journal of Operational Research 275 (1), 108-126, 2019
82019
A Column Generation Approach for Support Vector Machines
E Carrizosa, B Martın-Barragán, DR Morales
Technical report, Optimization Online, 2006. http://www. optimization-online …, 2006
82006
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Artikelen 1–20