7.1k citations
- Universidade de Santiago de CompostelaES25 papers
- Universidade da CoruñaES21 papers
- Centre National de la Recherche ScientifiqueFR16 papers
- Instituto de Astrofísica de CanariasES9 papers
- University of LisbonPT8 papers
- Centro de AstrobiologíaES7 papers
- Instituto de Astrofísica de AndalucíaES7 papers
- Universidad de GranadaES7 papers
- Universidad de La LagunaES7 papers
- University of EdinburghGB7 papers
- University of WarsawPL7 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR6 papers
8 papers · 1 filter
Online detection and infographic explanation of spam reviews with data drift adaptation
Francisco de Arriba-Pérez, Silvia García-Méndez, Fátima Leal +2
Spam reviews are a pervasive problem on online platforms due to its significant impact on reputation. However, research into spam detection in data streams is scarce. Another conce…
Toward data-driven research: preliminary study to predict surface roughness in material extrusion using previously published data with Machine Learning
Fátima García-Martínez, Diego Carou, Francisco de Arriba-Pérez +1
Material extrusion is one of the most commonly used approaches within the additive manufacturing processes available. Despite its popularity and related technical advancements, pro…
Unsupervised explainable activity prediction in competitive Nordic Walking from experimental data
Silvia García-Méndez, Francisco de Arriba-Pérez, Francisco J. González-Castaño +1
Artificial Intelligence (AI) has found application in Human Activity Recognition (HAR) in competitive sports. To date, most Machine Learning (ML) approaches for HAR have relied on…
Early stopping by correlating online indicators in neural networks
Manuel Vilares Ferro, Yerai Doval Mosquera, Francisco J. Ribadas Pena +1
In order to minimize the generalization error in neural networks, a novel technique to identify overfitting phenomena when training the learner is formally introduced. This enables…
Improving Large-Scale k-Nearest Neighbor Text Categorization with Label Autoencoders
Francisco J. Ribadas-Pena, Shuyuan Cao, Víctor M. Darriba Bilbao
In this paper, we introduce a multi-label lazy learning approach to deal with automatic semantic indexing in large document collections in the presence of complex and structured la…
Using Decentralized Aggregation for Federated Learning with Differential Privacy
Hadeel Abd El-Kareem, Abd El-Moaty Saleh, Ana Fernández-Vilas +2
Nowadays, the ubiquitous usage of mobile devices and networks have raised concerns about the loss of control over personal data and research advance towards the trade-off between p…