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Listar por autor "Del Tejo Catalá, Omar"

Mostrando ítems 1-7 de 7

Audio Effects Emulation with Neural Networks

DEL TEJO CATALA, OMAR (Universitat Politècnica de València, 2017-10-05)

[EN] This paper discusses if using Neural Networks we can develop model which emulates audio effects and also if it can stand up to traditional audio effect emulators. This report includes the comparison of the performance ...
Bias Analysis on Public X-Ray Image Datasets of Pneumonia and COVID-19 Patients

Omar del Tejo Catalá; Salvador Igual, Ismael; Perez-Benito, Francisco Javier; Millan-Escriva, David; ORTIZ, V.; Llobet Azpitarte, Rafael; Perez-Cortes, Juan-Carlos (Institute of Electrical and Electronics Engineers, 2021)

[EN] Chest X-ray images are useful for early COVID-19 diagnosis with the advantage that X-ray devices are already available in health centers and images are obtained immediately. Some datasets containing X-ray images with ...
Clasificación y detección de errores en piezas para inspección industrial

Del Tejo Catalá, Omar (Universitat Politècnica de València, 2020-06-23)

[ES] Se presenta una comparativa entre distintos métodos para la extracción de características de un conjunto de piezas industriales. El objetivo de estas características es entrenar un algoritmo de clasificación con rechazo ...
Extended a Priori Probability (EAPP): A Data-Driven Approach for Machine Learning Binary Classification Tasks

ORTIZ, V.; Pérez-Benito, Francisco Javier; del Tejo Catalá, Omar; Salvador Igual, Ismael; Llobet Azpitarte, Rafael; Perez-Cortes, Juan-Carlos (Institute of Electrical and Electronics Engineers, 2022-11-14)

[EN] The a priori probability of a dataset is usually used as a baseline for comparing a particular algorithm's accuracy in a given binary classification task. ZeroR is the simplest algorithm for this, predicting the ...
High-Profile VRU Detection on Resource-Constrained Hardware Using YOLOv3/v4 on BDD100K

ORTIZ, V.; Salvador Igual, Ismael; Del Tejo Catalá, Omar; Perez-Cortes, Juan-Carlos (MDPI AG, 2020-12)

[EN] Vulnerable Road User (VRU) detection is a major application of object detection with the aim of helping reduce accidents in advanced driver-assistance systems and enabling the development of autonomous vehicles. Due ...
Probabilistic Pose Estimation From Multiple Hypotheses

del Tejo Catalá, Omar; Guardiola Garcia, Jose Luis; Pérez, Javier; Millan-Escriva, David; Pérez Jiménez, Alberto José; Perez-Cortes, Juan-Carlos (Institute of Electrical and Electronics Engineers, 2023)

[EN] Pose estimation assesses the 6D pose of one or many objects in a scene. Considerable attention has been dedicated to the advancement of pose estimation algorithms capable of identifying the orientation of multiple ...
Real-time on-board pedestrian detection using generic single-stage algorithms and on-road databases

ORTIZ, V.; del Tejo Catala, Omar; Salvador Igual, Ismael; Perez-Cortes, Juan-Carlos (SAGE Publications, 2020-09-28)

[EN] Pedestrian detection is a particular case of object detection that helps to reduce accidents in advanced driver-assistance systems and autonomous vehicles. It is not an easy task because of the variability of the ...