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Welcome to the UPF Digital Repository

The institutional repository collects, disseminates and preserves, in digital form, the intellectual output that results from the academic and research activity of the UPF and also the scientific magazines and the institutional publications. Its purpose is to increase the impact of research done at the UPF and its intellectual memory.

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Sam68 and circRNA biogenesis in early development

Antonelli, Maria Carla, 1990- (2021-04-16)

During the last decades the non-coding portion of the genome became subject of intense research due to its contribution to the complexity of biological and pathological processes. CircRNAs are a class of non-coding RNAs ...
Feminist initiatives supporting self-managed abortion in legally restrictive settings of Latin America and the Caribbean : Social inequalities and quality of care

Larrea Izaguirre, Sara Lucía, 1984- (2022-03-25)

In this thesis our aim was to understand social inequalities and quality of care in feminist initiatives supporting self-managed abortion in legally restrictive settings of Latin America and the Caribbean. The thesis ...
How politicians learn from citizens' feedback: the case of gender on Twitter

Schöll, Nikolas; Gallego Dobón, Aina; Le Mens, Gaël (Wiley, 2023)

This article studies how politicians react to feedback from citizens on social media. We use a reinforcement-learning framework to model how politicians respond to citizens’ positive feedback by increasing attention to ...
How to handle health-related small imbalanced data in machine learning?

Rauschenberger, Maria; Baeza Yates, Ricardo (De Gruyter, 2020)

When discussing interpretable machine learning results, researchers need to compare them and check for reliability, especially for health-related data. The reason is the negative impact of wrong results on a person, such ...
Using transition learning to enhance mobile-controlled handover in decentralized future networks

Platt, Steven; Demirel, Berkay; Oliver Riera, Miquel (Institute of Electrical and Electronics Engineers (IEEE), 2021)

Traditionally, resource management and capacity allocation has been controlled network-side in cellular deployment. As autonomicity has been added to network design, machine learning technologies have largely followed this ...