Mostrando ítems 11-17 de 17
Jiménez Sánchez, Amelia (Fecha de defensa: 2021-10-14)
This thesis investigates two key aspects of learning deep-based image representations for medical diagnosis. The two are confronted with common challenges of medical image databases, namely, the limited ...
Vitoria Carrera, Patricia (Fecha de defensa: 2021-07-09)
Restoration of a high-quality image from a degraded recording is an important problem in early vision processing. In this thesis, we tackle three image restoration problems: image inpainting, colorization, ...
Jiménez-Pérez, Guillermo (Fecha de defensa: 2022-02-17)
Las señales electrocardiográficas, ya sea adquiridas en la piel del paciente (electrocardiogamas de superficie, ECG) o de forma invasiva mediante cateterismo (electrocardiogramas intracavitarios, iECG) ...
Shenoy Kadandale, Venkatesh (Fecha de defensa: 2022-09-08)
A typical music audio consists of different sounds spread across voices and musical instruments. We propose a low-cost deep learning (DL) method for simultaneously isolating multiple sound sources ...
Vitiugin, Fedor (Fecha de defensa: 2023-10-06)
Social media is a valuable platform for sharing real-time perspectives and insights, particularly during dynamic events. Extracting relevant information from social media during emergencies can be ...
Oramas Martín, Sergio (Fecha de defensa: 2017-11-29)
In this thesis, we address the problems of classifying and recommending music present in large collections. We focus on the semantic enrichment of descriptions associated to musical items (e.g., artists ...
Rafael-Palou, Xavier (Fecha de defensa: 2021-10-22)
Nowadays, lung cancer assessment is a complex and tedious task mainly per- formed by radiological visual inspection of suspicious pulmonary nodules, using computed tomography (CT) scan images taken ...