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Congressos (Departament de Tecnologies de la Informació i les Comunicacions)

Congressos (Departament de Tecnologies de la Informació i les Comunicacions)

 

Actes de congressos de recerca, en accés obert, del Departament de Tecnologies de la Informació i de les Comunicacions de la UPF.

Recent Submissions

  • Gómez Villa, Alexander; Martín, Adrian; Vazquez-Corral, Javier; Bertalmío, Marcelo (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Visual illusions teach us that what we see is not always what is represented in the physical world. Their special nature make them a fascinating tool to test and validate any new vision model proposed. In general, current ...
  • Chandna, Pritish; Blaauw, Merlijn; Bonada, Jordi, 1973-; Gómez Gutiérrez, Emilia, 1975- (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    We present a deep neural network based singing voice synthesizer, inspired by the Deep Convolutions Generative Adversarial Networks (DCGAN) architecture and optimized using the Wasserstein-GAN algorithm. We use vocoder ...
  • Velamazán, Mariano; Santos Rodríguez, Patrícia; Hernández Leo, Davinia (CEUR Workshop Proceedings, 2020)
    This paper analyses a gamified collaborative formal–informal outdoor activity and uses the findings to inform the design of future mobile collaboration tools. We present a case study framed in two editions (in years 2018 ...
  • Barrachina Muñoz, Sergio; Bellalta, Boris; Knightly, Edward (ACM Association for Computer Machinery, 2020)
    In this paper, we present WACA, the first system to simultaneously measure the energy in all 24 Wi-Fi channels that allow channel bonding at 5 GHz with microsecond scale granularity. With WACA, we perform a first-of-its-kind ...
  • Jiménez Sánchez, Amelia; Mateus, Diana; Kirchhoff, Sonja; Kirchhoff, Chlodwing; Biberthaler, Peter; Navab, Nassir; González Ballester, Miguel Ángel, 1973-; Piella Fenoy, Gemma (Springer, 2019)
    Current deep-learning based methods do not easily integrate to clinical protocols, neither take full advantage of medical knowledge. In this work, we propose and compare several strategies relying on curriculum learning, ...
  • Hurault, Samuel; Ballester, Coloma; Haro Ortega, Gloria (ACM Association for Computer Machinery, 2020)
    In a soccer game, the information provided by detecting and tracking brings crucial clues to further analyze and understand some tactical aspects of the game, including individual and team actions. State-of-the-art tracking ...
  • Charisi, Vicky; Malinverni, Laura; Rubegni, Elisa; Schaper, Marie-Monique (ACM Association for Computer Machinery, 2020)
    The increasing presence of robotics, automated systems, and AI in everyday life is carrying important ethical and social implications for both those who design and develop them as well as for the users. Addressing these ...
  • Santos Rodríguez, Patrícia; Martínez Moreno, Judit; Alonso, Nuria; Mayrhofer, Martina; Hernández Leo, Davinia (CEUR Workshop Proceedings, 2020)
    This research explores the possibility of defining the competence profile of ICT facilitators aimed to ensure digital equity in educational settings. In order to define the professional profile of the ICT facilitator, a ...
  • Tabibian, Behzad; Gómez, Vicenç; De, Abir; Schölkopf, Bernhard; Gomez-Rodriguez, Manuel (Proceedings of Machine Learning Research, 2020)
    Ranking models are typically designed to optimize some measure of immediate utility to the users. As a result, they have been unable to anticipate an increasing number of undesirable long-term consequences of their proposed ...
  • Ferraro, Andrés; Bogdanov, Dmitry; Serra, Xavier (2019)
    The Spotify Sequential Skip Prediction Challenge focuses on predicting if a track in a session will be skipped by the user or not. In this paper, we describe our approach to this problem and the final system that was ...
  • Hakami, Eyad; Hernández Leo, Davinia (CEUR Workshop Proceedings, 2020)
    The scientific community is currently engaged in global efforts towards a movement that promotes positive human values in the ways we formulate and apply Artificial Intelligence (AI) solutions. As the use of intelligent ...
  • Lobo Quintero, René; Ortega Arranz, Alejandro; Hernández Leo, Davinia (CEUR Workshop Proceedings, 2020)
    Collaborative learning flow patterns (CLFPs) formulate good practices for the orchestration of activity sequences and collaboration mechanisms that can elicit fruitful social interactions. Despite their benefits, it is ...
  • Lluís, Francesc; Pons, Jordi; Serra, Xavier (International Speech Communication Association (ISCA), 2019)
    Most of the currently successful source separation techniques use the magnitude spectrogram as input, and are therefore by default omitting part of the signal: the phase. To avoid omitting potentially useful information, ...
  • Recalde, Lorena; Baeza Yates, Ricardo (Springer, 2020)
    According to tastes, a person could show preference for a given category of content to a greater or lesser extent. However, quantifying people’s amount of interest in a certain topic is a challenging task, especially ...
  • Daza, Vanesa; Ràfols, Carla; Zacharakis, Alexandros (Springer, 2020)
    We propose an improvement for the inner product argument of Bootle et al. (EUROCRYPT’16). The new argument replaces the unstructured common reference string (the commitment key) by a structured one. We give two instantiations ...
  • Casanova De Vilalta, Lydia; Theophilou, Emily; Beardsley, Marc; Santos Rodríguez, Patrícia; Hernández Leo, Davinia (IADIS Press, 2020)
    Efforts are being made to add Computational Thinking (CT) to the curriculum of primary schools in order to develop student abilities to use computational tools to solve problems and better prepare them for an increasingly ...
  • Baeza Yates, Ricardo (ACM Association for Computer Machinery, 2020)
    Social media data is often used to pulse the opinion of online communities, either by predicting sentiment or stances (e.g., political), to mention just two typical use cases. However, those analysis assume that the data ...
  • Lobo, Jorge; Bertino, Elisa; Russo, Alessandra (ACM Association for Computer Machinery, 2020)
    There has been over the past decade a rapid change towards computational environments that are comprised of large and diverse sets of devices, many of them mobile, which can connect in flexible and context-dependent ways. ...
  • Zehlike, Meike; Sühr, Tom; Castillo, Carlos; Kitanovski, Ivan (ACM Association for Computer Machinery, 2020)
    Ranked search results and recommendations have become the main mechanism by which we find content, products, places, and people online. With hiring, selecting, purchasing, and dating being increasingly mediated by algorithms, ...
  • Bogdanov, Dmitry; Herrera Boyer, Perfecto, 1964- (2012)
    In this work we propose a novel approach to music recommendation based exclusively on editorial metadata. To this end, we propose to use a public database of music releases Discogs.com, which contains extensive information ...

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