Representation learning is the field of modern machine learning focused on automatically producing useful representations from data. This thesis studies the impact of data volumes, annotation perspectives, and structural ...

The dynamical processes taking place on a network depend on its topology. Influencing the growth process of a network therefore has important implications on such dynamical processes. We formulate the problem of influencing ...

Social Live Stream Services (SLSS) exploit a new level of social interaction. One of the main challenges in these services is how to detect and prevent deviant behaviors that violate community guidelines. In this work, we ...

In recent years, there's been increasing concern over potential negative experiences for adolescents on social media. Despite efforts in social media literacy education, traditional approaches often neglect crucial affective ...

Online discussions are the essence of many social platforms on the Internet. These platforms are receiving increasing interest because of their potential to become deliberative spaces. Many studies have proposed approaches ...

Background:Gender differences in the use of educational environments and socialmedia platforms have been a topic of interest in research. Several studies have exam-ined the disparities between female and male participants ...

Width-based search methods have demonstrated state-of-the-art performance in a wide range of testbeds, from classical planning problems to image-based simulators such as Atari games. These methods scale independently of ...

In the 2010 decade, Spanish politics have transitioned from bipartidism to multipartidism. This change led to an unstable situation which eventually led to the rare scenario of two general elections within six months. The ...

Deep generative models have been praised for their ability to learn smooth latent representations of images, text, and audio, which can then be used to generate new, plausible data. Motivated by these success stories, there ...