High-Profile VRU Detection on Resource-Constrained Hardware Using YOLOv3/v4 on BDD100K. - Vicent Ortiz Castelló; Ismael Salvador Igual; Omar del Tejo Catalá; Juan-Carlos Perez-Cortes (J. Imaging, 2020)

Bias Analysis on Public X-Ray Image Datasets of Pneumonia and COVID-19 Patients. - Omar del Tejo Catalá; Ismael Salvador Igual; Francisco Javier Pérez-Benito; David Millán Escrivá; Vicent Ortiz Castelló; Rafael Llobet; Juan-Carlos Perez-Cortes (IEEE Access, 2021)

Extended a Priori Probability (EAPP): A Data-Driven Approach for Machine Learning Binary Classification Tasks. - Vicent Ortiz Castelló; Francisco Javier Pérez-Benito; Omar del Tejo Catalá; Ismael Salvador Igual; Rafael Llobet; Juan-Carlos Perez-Cortes (IEEE Access, 2022)

Probabilistic Pose Estimation From Multiple Hypotheses. - Omar del Tejo Catalá; Jose Luis Guardiola; Javier Pérez Soler; David Millán Escrivá; Alberto J. Pérez 001; Juan-Carlos Perez-Cortes (IEEE Access, 2023)

Improving the understanding of web user behaviors through machine learning analysis of eye-tracking data. - Diana Castilla; Omar del Tejo Catalá; Patricia Pons; François Signol; Beatriz Rey; Carlos Suso-Ribera; Juan-Carlos Perez-Cortes (User Model. User Adapt. Interact., 2024)

WoodAD: A New Dataset and a Comparison of Deep Learning Approaches for Wood Anomaly Detection. - Omar del Tejo Catalá; Javier Perez; Nicolás García Sastre; Juan-Carlos Perez-Cortes; Javier Del Ser (Expert Syst. J. Knowl. Eng., 2025)