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20202025
most citedA robust SVM-based approach with feature selection and outliers detection for classification problems

80 citations · 149 across the 13 of their papers we have counts for

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7 papers · 1 filter

math.OC2025★ 3 cited

Edge downgrades in the maximal covering location problem

Marta Baldomero-Naranjo, Jörg Kalcsics, Antonio M. Rodríguez-Chía

We tackle the downgrading maximal covering location problem within a network. In this problem, two actors with conflicting objectives are involved: (a) The location planner aims to…

math.OC2024★ 21 cited

Upgrading edges in the maximal covering location problem

Marta Baldomero-Naranjo, Jörg Kalcsics, Alfredo Marín +1

We study the upgrading version of the maximal covering location problem with edge length modifications on networks. This problem aims at locating p facilities on the vertices (of t…

math.OC2024★ 15 cited

Minmax regret maximal covering location problems with edge demands

Marta Baldomero-Naranjo, Jörg Kalcsics, Antonio M. Rodríguez-Chía

This paper addresses a version of the single-facility Maximal Covering Location Problem on a network where the demand is: (i) distributed along the edges and (ii) uncertain with on…

math.OC2024

Proceedings of the XIII International Workshop on Locational Analysis and Related Problems

Marta Baldomero-Naranjo, Ricardo Gázquez, Miguel Martínez-Antón +6

The topics of interest are location analysis and related problems. This includes location models, networks, transportation, logistics, exact and heuristic solution methods, and com…

math.OC2024★ 4 cited

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…

math.OC2024★ 80 cited

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…