Universitat Politècnica de Catalunya
La Universitat Politècnica de Catalunya. Barcelona Tech (UPC) és una institució pública de recerca i d'educació superior en els àmbits de l'enginyeria, l'arquitectura i les ciències.
L’activitat dels seus campus i centres fan de la UPC un punt de referència i, en complicitat amb el teixit productiu, són agent i motor de canvi econòmic i social, en posar en valor la recerca bàsica i aplicada i transferir tecnologia i coneixement a la societat.
Els investigadors i investigadores de la UPC treballen des dels laboratoris i centres de recerca per augmentar la producció científica, valoritzar-la socialment a través de la transferència de resultats i continuar liderant projectes internacionals d’excel·lència, ja sigui a partir d’iniciatives pròpies o en col·laboració amb altres centres de recerca i universitats d’arreu del món.
Portal de la producció científica dels investigadors de la UPC.
Portal d'accés obert al coneixement de la UPC
Si sou doctor o doctora per la Universitat Politècnica de Catalunya i voleu publicar la vostra tesi a TDX, contacteu amb tdx@upc.edu. Per a més informació consulteu les preguntes més freqüents
(English) In the field of organ transplantation, a critical gap exists: the availability of organs falls far short of the demand, resulting in numerous recipients dying before they can receive a transplant. The complexity ...
(English) The topic of this thesis is the engineering of values for autonomous agents. This is realised through the formulation, design and implementation of new functionalities for autonomous agents that enable reasoning ...
(English) The recent technological advances in high-throughput sequencing have yielded vast amounts of large-scale biological omics data that describe different aspects of cellular functioning. These omics data are typically ...
(English) Digitalization has revolutionized many industries, including the power generation sector. The availability of a vast amount of data from various systems has transformed decision-making processes in Industry. ...
(English) Machine learning and, more specifically, deep learning applications have grown in number in recent years. These intelligent systems have shown remarkable performance across various domains, including sensitive ...
(English) One of the major problems to design and implement control and supervision systems for real-world processes lies in the need to stablish an ad-hoc solution for each process, i.e., environmental systems in this ...
(English) This thesis focuses on the discovery of causal relations and on the prediction of causal effects. Regarding causal discovery, this thesis introduces a novel and generic method to learn causal graphs by performing ...
(English) High-throughput omics technologies produce large-scale heterogeneous data that provide complementary views of the underlying complexity of the studied organism. To exploit these new data to answer biomedical ...
We are facing a global climate crisis that is demanding a change in the status quo of how we produce, distribute and consume energy. In the last decades, this is being redefined through Smart Grids(SG), an intelligent ...
The thesis starts by giving an introduction to the game of Scrabble, then mentions state-of-the-art computer Scrabble programs and presents some characteristics of our developed Scrabble engine Heuri. Some brief notions ...
Sports analytics is an emerging field focused on the application of advanced data analysis for assessing the performance of professional athletes and teams. In soccer, the integration of data analysis is in its initial ...
Here, old and new linguistic universals, i.e. properties obeyed by all languages on Earth are investigated. Basic principles of language predicting linguistic universals are also investigated. More precisely, two principles ...
This thesis addresses the problem of improving text spotting systems, which aim to detect and recognize text in unrestricted images (e.g. a street sign, an advertisement, a bus destination, etc.). The goal is to improve ...
Forecasting is a critical task for the integration of wind-generated energy into electricity grids. Numerical weather models applied to wind prediction, work with grid sizes too large to reproduce all the local features ...
In this thesis, we study the automatic translation of documents by taking into account cross-sentence phenomena. This document-level information is typically ignored by most of the standard state-of-the-art Machine ...
People recommender systems (PRS) are a special type of RS. They are often adopted to identify people capable of performing a task. Recommending people poses several challenges not exhibited in traditional RS. Elements such ...
Learning latent variable models is a fundamental machine learning problem, and the models belonging to this class - which include topic models, hidden Markov models, mixture models and many others - have a variety of ...
Current recommender systems aim mainly to generate accurate item recommendations, without properly evaluating the multiple dimensions of the recommendation problem. However, in many domains, like in music, where items are ...
G protein-coupled receptors (GPCRs) are cell membrane proteins with a key role in regulating the function of cells. This is the result of their ability to transmit extracellular signals, which makes them relevant for ...
The ability to walk is typically related to several bio-mechanical components that are involved in the gait cycle (or stride), including free mobility of joints, particularly in the legs; coordination of muscle activity ...
