classification

Sensing labour mobility flows of cross-border urban regions using machine learning and geolocated social network data
ML pipeline for identifying cross-border commuters using geolocated social network data.
Manuel Mendoza-Hurtado et al.
A new local proximity-based k-nearest neighbours method for multi-label population patterns identification using mobile phone data
Multi-label kNN method for population patterns identification using mobile phone data.
Manuel Mendoza-Hurtado et al.
MAPLID: a new multi-label approach for place identification using data supplied by mobile network operators
MAPLID: a supervised multi-label approach for place identification using MNO data.
Manuel Mendoza-Hurtado, Juan A. Romero-del-Castillo, Domingo Ortiz-Boyer
A supervised approach for land use identification in Trento using mobile phone data as an alternative to unsupervised clustering techniques
A supervised approach for land use identification using mobile phone data.
Manuel Mendoza-Hurtado, Gonzalo Cerruela-García, Domingo Ortiz-Boyer
SAMPLID: A new supervised approach for meaningful place identification using call detail records as an alternative to classical unsupervised clustering techniques
SAMPLID: A supervised approach for meaningful place identification using CDRs.
Manuel Mendoza-Hurtado, Juan A. Romero-del-Castillo, Domingo Ortiz-Boyer
False flag: An evolutionary false labeling approach for multi-label classification
An evolutionary false labeling approach for multi-label classification.
Nicolás E. García-Pedrajas, J. Manuel Cuevas-Muñoz, Manuel Mendoza-Hurtado, Juan Pérez-Rodríguez, Aída de Haro-García
Local-based k values for multi-label k-nearest neighbors rule
A method using different k values for each label in multi-label kNN classification.
Juan A. Romero-del-Castillo, Manuel Mendoza-Hurtado, Domingo Ortiz-Boyer, Nicolás García-Pedrajas