Machine learning is a very central topic in Artificial Intelligence and even computer science in general. Nowadays, its use in Big Data problems is quite well known. However, while the big data, and machine learning ...

The goal of this project is to create an end-to-end system able to regress the 6D pose of different objects for industrial automation applications using Deep Learning techniques. In order to solve the task a synthetic ...

The purpose of this thesis is to develop an application to evaluate the physical and mental state of the elderly over time using different games that interact with different abilities. It will keep the progress of the ...

In this work, an approach to the automatic detection of dependencies in NL requirements is presented. The approach is based on an ontology containing knowledge defining dependency relations between requirements. In order ...

This Master Thesis (MT) describes different techniques for speaker identification. Our goal is two-fold: first to build and curate an image and audio dataset and second to use it to create a speaker recognition system.

This project evaluates the potential of Convolutional Neural Networks in classifying Right Whales' Up-Calls from short audio clips of environmental sounds. Two deep models with different architectures are presented evaluating ...

Co-reference resolution is an important part of natural language understanding and it's been affected by the current corpora lacking in diversity. This project presents the implementation of two models for masked language ...

The main objective of this thesis is to analyse peptidomics data and evaluate its use in the mortality prediction of patients in septic shock. This is the first time this peptidome data has been analysed in this depth. A ...