80 citations · 179 across the 10 of their papers we have counts for
11 papers
Ordered Weighted Average Support Vector Regression
Luisa I. Martínez-Merino, Justo Puerto, Antonio M. Rodríguez-Chía
This paper introduces a novel Support Vector Regression (SVR) model that incorporates Ordered Weighted Average (OWA) operators to differently penalize deviations of observations fr…
Constraint relaxation for the Discrete Ordered Median Problem
Luisa I. Martínez-Merino, Diego Ponce, Justo Puerto
This paper compares different exact approaches to solve the Discrete Ordered Median Problem (DOMP). In recent years, DOMP has been formulated using set packing constraints giving r…
Multi-product maximal covering second-level facility location problem
Marta Baldomero-Naranjo, Luisa I. Martínez-Merino, Antonio M. Rodríguez-Chía
This paper introduces a new hierarchical facility location model with three levels: first-level facilities which manufacture different products, second-level facilities which act a…
The profit-oriented hub line location problem with elastic demand
Brenda Cobeña, Ivan Contreras, Luisa I. Martínez-Merino +1
This paper deals with an extension of the hub line location problem considering demand elasticity with respect to travel times. The proposed model aims to capture the impact the hu…
Multi-period stochastic covering location problems: Modeling framework and solution approach
Alfredo Marín, Luisa I. Martínez-Merino, Antonio M. Rodríguez-Chía +1
This paper introduces a very general discrete covering location model that accounts for uncertainty and time-dependent aspects. A MILP formulation is proposed for the problem. Afte…
The probabilistic p-center problem: Planning service for potential customers
Luisa I. Martínez-Merino, Maria Albareda-Sambola, Antonio M. Rodríguez-Chía
This work deals with the probabilistic p-center problem, which aims at minimizing the expected maximum distance between any site with demand and its center, considering that each s…
A robust SVM-based approach with feature selection and outliers detection for classification problems
Marta Baldomero-Naranjo, Luisa I. Martínez-Merino, Antonio M. Rodríguez-Chía
This paper proposes a robust classification model, based on support vector machine (SVM), which simultaneously deals with outliers detection and feature selection. The classifier i…
Tightening big Ms in integer programming formulations for support vector machines with ramp loss
Marta Baldomero-Naranjo, Luisa I. Martínez-Merino, Antonio M. Rodríguez-Chía
This paper considers various models of support vector machines with ramp loss, these being an efficient and robust tool in supervised classification for the detection of outliers.…
The soft-margin Support Vector Machine with ordered weighted average
Alfredo Marín, Luisa I. Martínez-Merino, Justo Puerto +1
This paper deals with an extension of the Support Vector Machine (SVM) for classification problems where, in addition to maximize the margin, i.e., the width of strip defined by th…
Mixed Integer Linear Programming for Feature Selection in Support Vector Machine
Martine Labbé, Luisa I. Martínez-Merino, Antonio M. Rodríguez-Chía
This work focuses on support vector machine (SVM) with feature selection. A MILP formulation is proposed for the problem. The choice of suitable features to construct the separatin…
The stratified p-center problem
Maria Albareda-Sambola, Luisa I. Martínez Merino, Antonio M. Rodríguez-Chía
This work presents an extension of the p-center problem. In this new model, called Stratified p-Center Problem (SpCP), the demand is concentrated in a set of sites and the populati…