[EN] Automatic data fusion is an important field of machine learning that has been increasingly studied. The objective is to improve the classification performance from several individual classifiers in terms of accuracy ...
[EN] This paper presents a new method for fraud detection in credit cards based on exploiting the dynamics of the card transactions. We hypothesize different behavior models in the use of the card between legitimate clients ...
Zou, Dejian(Universitat Politècnica de València, 2024-04-09)
[ES] Este proyecto implementará varias técnicas de fusión tardía de datos aplicadas para mejorar el rendimiento de la clasificación multimodal automática. Se analizarán los repositorios de bases de datos disponibles ...
This paper presents the next step in the evolution of multi-sensor wireless network systems in the early automatic detection of forest fires.This network allows remote monitoring of each of the locations as well as ...
[EN] Independence between detectors is normally assumed in order to simplify the algorithms and techniques used in decision fusion. In this paper, we derive the optimum fusion rule of N non-independent detectors in terms ...
[EN] This paper presents a novel application of pattern recognition to the provenance classification of archae- ological ceramics. This is a challenging problem for archaeologists, which involves assigning a making location ...
Xu, Yazhuo(Universitat Politècnica de València, 2019-08-01)
[ES] Este proyecto implementa varias técnicas para la fusión de diferentes modalidades de datos en análisis de las fases del sueño. Los métodos de fusión buscan explotar las complementariedades de los datos para mejorar ...
[EN] Alpha integration is a family of integrators that encompasses many classic fusion operators (e.g., mean, product, minimum, maximum) as particular cases. This paper proposes vector score integration (VSI), a new alpha ...