Dr Belen Martin-Barragan

Picture of Belen Martin-Barragan

Lecturer in Management Science

Email: QmVsZW4uTWFydGluQGVkLmFjLnVr
Phone: +44(0)131 6515539
Room: 3.26


Profile

Background

I earned my doctorate in Mathematics from the Universidad de Sevilla, Spain, in 2006. Before joining The University of Edinburgh I have spent seven years in Universidad Carlos III de Madrid, Spain.

Research interests

My research lies at the interface between Machine Learning and Mathematical Programming. In a board sense, I am interested on using or developing variants of Operational Research techniques and applying them to data analysis problems, such as classification and clustering.

Keywords: Support Vector Machines, Social Networks, Mathematical Programming, Column Generation.

Group membership

PhD Supervision

Belen is supervising 1 PhD student

Website

http://scholar.google.com/citations?user=DUCPNOoAAAAJ


Publications

Reducing construction carbon emissions in logistics: The dynamic bowser routing problem

Martin-Barragan, Rossi and Tomasella. (2017).
Contribution to conference: Abstract

MILP-based models for non-stationary stochastic lot-sizing strategies

Xiang, Rossi and Martin-Barragan. (2017).
Contribution to conference: Abstract

(R, S) policy with correlated demands

Xiang, Rossi and Martin-Barragan. (2017).
Contribution to conference: Abstract

(R, S) policy with correlated demands

Xiang, Rossi and Martin-Barragan. (2017).
Contribution to conference: Abstract

Speeding up parameter tuning for multi-class classification: A partial parametric path algorithm

Martin-Barragan, Liu and Prieto. (2016).
Contribution to conference: Abstract

ReCCEL Final Feasibility Report

Rossi, Tomasella, Martin-Barragan, Embley and Walsh. (2016).
Book/Report: Commissioned report

A simple heuristic for perishable inventory control under nonstationary stochastic demand

Rossi, Alcoba, Hendrix and Martin-Barragan. (2016).
Contribution to conference: Abstract

An MILP model for computing (s, S) policies with stochastic demand

Xiang, Rossi and Martin-Barragan. (2016).
Contribution to conference: Abstract

The ReCCEL toolbox: A response to carbon reduction challenges in the UK construction industry

Tomasella, Rossi and Martin-Barragan. (2016).
Contribution to conference: Abstract

A simple heuristic for perishable inventory control under nonstationary stochastic demand

Gutierrez-Alcoba, Rossi, Martin-Barragan and Hendrix. (2016) International Journal of Production Research 55 (7). 1885-1897.
Contribution to journal: Article
View / download (open access)

Functional boxplots based on epigraphs and hypographs

Martin-Barragan, B., Lillo, RE. and Romo, J. (2016) Journal of Applied Statistics 43 (6). 1088-1103.
Contribution to journal: Article

Correlations between oil and stock markets: A wavelet-based approach

Martín-Barragán, Ramos and Veiga. (2015) Economic Modelling 50. 212-227.
Contribution to journal: Article
View / download (open access)

A bi-objective model for time-evolving clustering

Martin-Barragan, Carrizosa, E. and Romero Morales. (2015).
Contribution to conference: Abstract

A Projection Multi-objective SVM Method for Multi-class Classification

Martin-Barragan, Liu and Prieto. (2015). 1-1.
Contribution to conference: Abstract

A heuristic for tuning the kernel in dynamic clustering

Carrizosa, E., Martin-Barragan and Romero Morales. (2014). 93-93.
Contribution to conference: Abstract

A nested heuristic for parameter tuning in Support Vector Machines

Carrizosa, Martín-Barragán and Romero Morales. (2014) Computers and Operations Research 43. 328-334.
Contribution to journal: Article
View / download (open access)

Detection of outliers in multivariate GARCH models.

Martin-Barragan, Veiga and Grane. (2013). 7-7.
Contribution to conference: Abstract

CORRELATIONS BETWEEN OIL AND STOCK MARKETS: A WAVELET-BASED APPROACH

Martin-Barragan, Ramos and Veiga. (2013).
Contribution to conference: Paper
View / download (open access)

Interpretable support vector machines for functional data

Martin-Barragan, Lillo and Romo. (2012) European Journal of Operational Research 232 (1). 146-155.
Contribution to journal: Article
View / download (open access)

Maximizing upgrading and downgrading margins for ordinal regression

Carrizosa and Martin-Barragan. (2011) Mathematical Methods of Operations Research 74 (3). 381-407.
Contribution to journal: Article
View / download (open access)

Detecting relevant variables and interactions in supervised classification

Carrizosa, Martín-Barragán and Morales. (2011) European Journal of Operational Research 213 (1). 260-269.
Contribution to journal: Article
View / download (open access)

Binarized Support Vector Machines

Carrizosa, Martin-Barragan and Morales. (2010) INFORMS Journal on Computing 22 (1). 154-167.
Contribution to journal: Article
View / download (open access)

Multi-group support vector machines with measurement costs: A biobjective approach

Carrizosa, Martin-Barragan and Morales. (2008) Discrete Applied Mathematics 156 (6). 950-966.
Contribution to journal: Article
View / download (open access)

On the selection of the globally optimal prototype subset for nearest-neighbor classification

Carrizosa, E., Martín-Barragán, B., Plastria, F. and Morales, DR. (2007) INFORMS Journal on Computing 19 (3). 470-479.
Contribution to journal: Article
View / download (open access)

Two-group classification via a biobjective margin maximization model

Carrizosa and Martin-Barragan. (2006) European Journal of Operational Research 173 (3). 746-761.
Contribution to journal: Article

A biobjective model to select features with good classification quality and low cost

Carrizosa, E., Martin-Barragan, B. and Romero Morales, D. (2004). 339-342.
Chapter in Book/Report/Conference proceeding: Chapter