2026
·
International Journal of Geographical Information Science
Published
Journal Article
Open access
Manuel Mendoza-Hurtado, Juan A. Romero-del-Castillo, Domingo Ortiz-Boyer
A supervised multi-label framework that identifies concurrent urban functions from mobile-network activity and generalises across Milan and Trento.
2026
·
EPJ Data Science
Published
Journal Article
Open access
Manuel Mendoza-Hurtado, Olle Järv, Milad Malekzadeh, Oleksandr Karasov, Domingo Ortiz-Boyer
A transferable machine-learning framework for detecting cross-border commuting from geolocated social-media traces across three European regions.
2026
·
Applied Soft Computing
Published
Journal Article
Open access
Nicolás E. García-Pedrajas, José Manuel Cuevas-Muñoz, Manuel Mendoza-Hurtado, Javier Pérez-Rodríguez, Aída de Haro-García
An evolutionary approach that deliberately modifies training labels to improve multi-label classification across diverse datasets and models.
2025
·
Applied Sciences
Published
Journal Article
Open access
Manuel Mendoza-Hurtado, Gonzalo Cerruela-García, Domingo Ortiz-Boyer
Supervised land-use classification from call detail records in an alpine setting, testing generalisation beyond dense metropolitan areas.
2024
·
ISPRS International Journal of Geo-Information
Published
Journal Article
Open access
Manuel Mendoza-Hurtado, Juan A. Romero-del-Castillo, Domingo Ortiz-Boyer
A supervised alternative to classical clustering for identifying meaningful places from call detail records.
2022
·
Engineering Applications of Artificial Intelligence
Published
Journal Article
Juan A. Romero-del-Castillo, Manuel Mendoza-Hurtado, Domingo Ortiz-Boyer, Nicolás García-Pedrajas
A locally adaptive method that selects a different neighbourhood size for each prototype in multi-label k-nearest-neighbour learning.
2026
·
Submitted manuscript
Manuscript under review
Manuscript
Manuel Mendoza-Hurtado
A spatially aware multi-label k-nearest-neighbour method that combines feature-space locality with grid adjacency.