Human pose estimation has advanced significantly due to the development of deep learning models, increased data availability, and improved computing resources. These developments have led to highly accurate body tracking systems with direct applications in sports analysis and performance evaluation. The VideoRun2D Demo...
L. F. Gómez, J. Fiérrez, Roberto Daza et al.· 0 citations
Early sepsis detection is essential for improving outcomes and reducing costs, but traditional rule-based systems have limited accuracy and real-world evidence for machine-learning alternatives remains scarce. In this context, BIAlert-Sepsis predicts sepsis risk within 24 hours using historical hospital data, and evalu...
A. Giglio, Eric Macias-Fassio, Santiago Salas-Sosa et al.· PLOS Global Public Health· 0 citations
Detectors of AI-generated images are typically trained using samples from all Generative AI architectures they must catch, and struggle as soon as a new architecture emerges. Recent approaches have explored self-supervised pre-training as an alternative solution, yet standard frameworks work against the forensic task,...
Javier Muñoz-Haro, Ruben Tolosana, Rubén Vera-Rodríguez et al.· 0 citations
Three bias detection approaches are proposed, which characterizes the latent space prior to the final classification layer using neighbor-probability distributions and quantifies bias with the two-sample Kolmogorov-Smirnov test on the per-group distributions.
Ignacio Serna, Aythami Morales, J. Fiérrez· arXiv.org· 3 citations
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