With people living longer than ever, the number of cases with neurodegenerative diseases such as Alzheimer's or cognitive impairment increases steadily. In Spain it affects more than 1.2 million patients and it is estimated ...

Affective computing, leveraged by machine learning techniques, is advancing rapidly in the task of affect recognition in videos. However, there is a need for more annotated data. Several studies have built huge video ...

This thesis proposes a novel active learning framework capable to train effectively a convolutional neural network for semantic segmentation of medical imaging, with a limited amount of training labeled data. Our approach ...

IPTV o Web TV són dos conceptes amb els que s’està treballant molt actualment i estan en expansió ja que canvien el concepte de veure la televisió existent fins al moment. Els continguts audiovisuals són descarregats ...

This thesis consists on developing an interactive lifelog search engine for the LSC 2018 search challenge at ACM ICMR 2018. This search engine is created in order to browse for images from a given lifelog dataset and display ...

Diferents estudis demostren que la proporció de coneixement que els alumnes acaben assimilant després d’una classe magistral del professor o d’una lectura del llibre de text és molt menor respecte d’altres metodologies de ...

In this thesis we present the design, implementation and deployment of a building recognition system. First, we have developed a pipeline to find and retrieve relevant images containing landmarks and buildings from the ...

Discovery of causal relations from observational data is a key step toward system's understanding. Standard causal discovery methods fit a new model whenever a new causal graph is presented. Recent works propose to take ...

Image retrieval in realistic scenarios targets large dynamic datasets of unlabeled images. In these cases, training or fine-tuning a model every time new images are added to the database is neither efficient nor scalable. ...