Other Publications by Veronica Vilaplana back

2018
J. Bustos Pelegrí, Clasificación de imágenes histológicas mediante redes neuronales convolucionalesÁ. 2018. Ms Thesis
J. Martínez Artigot, Automatic fruit classification using deep learning. 2018. Ms Thesis
M. Artigues Cànaves, Prevention of Alzheimer's Disease: a contribution from MRI and machine learning. 2018. Ms Thesis
C. Bonín Roselló, Brain lesion segmentation using Convolutional Neuronal Networks. 2018. (3.15 MB) Ms Thesis
2017
D. Rodríguez Castelló, Extracción de cráneo en imágenes de resonancia magnética del cerebro utilizando una red neuronal convolucional 3D. 2017. Ms Thesis
2016
M. Catà, Feature Selection Methods for Predicting Pre-Clinical Stage in Alzheimer's Disease. 2016. (4.52 MB) Ms Thesis
A. Aduriz, Analysis of the dynamics of gray matter reduction in Alzheimer's Disease. 2016. (9.47 MB) Ms Thesis
V. Marcos Santamarta, Machine learning for recommendation systems in job postings selection. 2016. Ms Thesis
S. Puch, Nonlinear analysis toolbox for neurodegenerative diseases and aging. 2016. (9.74 MB) Ms Thesis
2015
E. Panizo, Classification techniques for Alzheimer’s disease early diagnosis. 2015. (5.86 MB) Ms Thesis
A. Herrera Alonso, Detecció de Text utilitzant Xarxes Neuronals Convolucionals . 2015. Ms Thesis
C. Ventura, Giró-i-Nieto, X., Vilaplana, V., McGuinness, K., Marqués, F., and O'Connor, N. E., Improving Spatial Codification in Semantic Segmentation (Supplementary Material), 2015. (18.81 MB) Report
Ldel Pino López, Reconstrucció de la forma del rostre a partir de contorns. 2015. Ms Thesis
E. Sañoso Vela, Combinar imágenes y hábitos musicales para mejorar los sistemas de recomendación de música. 2015. Ms Thesis
2013
C. Ventura, Visual Object Analysis Using Regions and Interest Points. 2013. (4.62 MB) Ms Thesis
2011
C. Ventura, Tools for Image Retrieval in Large Multimedia Databases. 2011. (6.33 MB) Ms Thesis