4 papers
Unraveling Emotions with Pre-Trained Models
Alejandro Pajón-SanmartÃn, Francisco De Arriba-Pérez, Silvia GarcÃa-Méndez +3
Transformer models have significantly advanced the field of emotion recognition. However, there are still open challenges when exploring open-ended queries for Large Language Model…
An Explainable Machine Learning Framework for Railway Predictive Maintenance using Data Streams from the Metro Operator of Portugal
Silvia GarcÃa-Méndez, Francisco de Arriba-Pérez, Fátima Leal +3
This work contributes to a real-time data-driven predictive maintenance solution for Intelligent Transportation Systems. The proposed method implements a processing pipeline compri…
Simulation, Modelling and Classification of Wiki Contributors: Spotting The Good, The Bad, and The Ugly
Silvia GarcÃa Méndez, Fátima Leal, Benedita Malheiro +4
Data crowdsourcing is a data acquisition process where groups of voluntary contributors feed platforms with highly relevant data ranging from news, comments, and media to knowledge…
Interpretable classification of wiki-review streams
Silvia GarcÃa Méndez, Fátima Leal, Benedita Malheiro +1
Wiki articles are created and maintained by a crowd of editors, producing a continuous stream of reviews. Reviews can take the form of additions, reverts, or both. This crowdsourci…