4 papers
Applied Machine Learning to Anomaly Detection in Enterprise Purchase Processes
A. Herreros-Martínez, R. Magdalena-Benedicto, J. Vila-Francés +2
In a context of a continuous digitalisation of processes, organisations must deal with the challenge of detecting anomalies that can reveal suspicious activities upon an increasing…
Multimodal video analysis for crowd anomaly detection using open access tourism cameras
Alejandro Dionis-Ros, Joan Vila-Francés, Rafael Magdalena-Benedicto +2
In this article, we propose the detection of crowd anomalies through the extraction of information in the form of time series from video format using a multimodal approach. Through…
Dynamic classifier auditing by unsupervised anomaly detection methods: an application in packaging industry predictive maintenance
Fernando Mateo, Joan Vila-Francés, Emilio Soria-Olivas +2
Predictive maintenance in manufacturing industry applications is a challenging research field. Packaging machines are widely used in a large number of logistic companies' warehouse…
PixLore: A Dataset-driven Approach to Rich Image Captioning
Diego Bonilla-Salvador, Marcelino Martínez-Sober, Joan Vila-Francés +3
In the domain of vision-language integration, generating detailed image captions poses a significant challenge due to the lack of curated and rich datasets. This study introduces P…