Publications
2024
Martínez-Mendoza, Alicia; Jáñez-Martino, Francisco; Carofilis, Andrés; Fernández-Robles, Laura; Alegre, Enrique; Fidalgo, Eduardo
Towards Multi-Class Smishing Detection: A Novel Feature Vector Approach and the Smishing-4C Dataset Artículo de revista
En: 2024.
Enlaces | BibTeX | Etiquetas: Multiclass Classification, Smishing Classification, Smishing-4C Dataset, SMS, Text classification
@article{martinez-mendoza_towards_2024,
title = {Towards Multi-Class Smishing Detection: A Novel Feature Vector Approach and the Smishing-4C Dataset},
author = {Alicia Martínez-Mendoza and Francisco Jáñez-Martino and Andrés Carofilis and Laura Fernández-Robles and Enrique Alegre and Eduardo Fidalgo},
url = {https://besaya.infor.uva.es/sepln24/paper06.pdf},
year = {2024},
date = {2024-01-01},
keywords = {Multiclass Classification, Smishing Classification, Smishing-4C Dataset, SMS, Text classification},
pubstate = {published},
tppubtype = {article}
}
2009
Santos-Rodríguez, Raúl; Guerrero-Curieses, Alicia; Alaiz-Rodríguez, Rocío; Cid-Sueiro, Jesús
Cost-sensitive learning based on Bregman divergences Artículo de revista
En: Machine Learning, vol. 76, pp. 271–285, 2009, (Publisher: Springer US).
Resumen | Enlaces | BibTeX | Etiquetas: Bregman Divergences, Cost-sensitive Classification, Decision Boundary Optimization, Multiclass Classification, Posterior Probability Estimation
@article{santos-rodriguez_cost-sensitive_2009,
title = {Cost-sensitive learning based on Bregman divergences},
author = {Raúl Santos-Rodríguez and Alicia Guerrero-Curieses and Rocío Alaiz-Rodríguez and Jesús Cid-Sueiro},
url = {https://link.springer.com/content/pdf/10.1007/s10994-009-5132-8.pdf},
year = {2009},
date = {2009-01-01},
journal = {Machine Learning},
volume = {76},
pages = {271–285},
abstract = {This paper explores using a specific class of Bregman divergences to design cost-sensitive classifiers for multiclass problems. These divergences improve posterior probability estimation near decision boundaries. Asymptotically, they minimize decision costs in non-separable problems and maximize margins in separable MAP problems.},
note = {Publisher: Springer US},
keywords = {Bregman Divergences, Cost-sensitive Classification, Decision Boundary Optimization, Multiclass Classification, Posterior Probability Estimation},
pubstate = {published},
tppubtype = {article}
}