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Departament de Tecnologies de la Informació i les Comunicacions

Departament de Tecnologies de la Informació i les Comunicacions

 

Documents de recerca, en accés obert, com ara articles de revista, llibres, comunicacions, ponències o posters a jornades i congressos, etc., del Departament de Tecnologies de la Informació i de les Comunicacions de la UPF.

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Recent Submissions

  • Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2021)
  • Jonsson, Anders (Institute of Electrical and Electronics Engineers (IEEE), 2021)
  • Nikbakht, Rasoul; Jonsson, Anders, 1973-; Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    This letter applies a feedforward neural network trained in an unsupervised fashion to the problem of optimizing the transmit powers in centralized radio access networks operating on a cell-free basis. Both uplink and ...
  • Nikbakht, Rasoul; Jonsson, Anders, 1973-; Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    This letter proposes the unsupervised training of a feedforward neural network to solve parametric optimization problems involving large numbers of parameters. Such unsupervised training, which consists in repeatedly ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Cruzat, Josephine; Torralba, Mireia; Ruzzoli, Manuela; Fernández, Alba; Deco, Gustavo; Soto-Faraco, Salvador, 1970- (Elsevier, 2021)
    Several studies have shown that attention and perception can depend upon the phase of ongoing neural oscillations at stimulus onset. Here, we extend this idea to the memory domain. We tested the hypothesis that ongoing ...
  • Piccinini, Juan; Perez Ipiña, Ignacio; Laufs, Helmut; Kringelbach, Morten L.; Deco, Gustavo; Sanz Perl, Yonatan; Tagliazucchi, Enzo (American Institute of Physics (AIP), 2021)
    An outstanding open problem in neuroscience is to understand how neural systems are capable of producing and sustaining complex spatiotemporal dynamics. Computational models that combine local dynamics with in vivo ...
  • 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 ...
  • Andrzejak, Ralph Gregor (American Institute of Physics (AIP), 2021)
    Complex-valued quadratic maps either converge to fixed points, enter into periodic cycles, show aperiodic behavior, or diverge to infinity. Which of these scenarios takes place depends on the map’s complex-valued parameter ...
  • 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 ...
  • Van Schependom, Jeroen; Vidaurre, Diego; Costers, Lars; Sjøgård, Martin; Sima, Diana M.; Smeets, Dirk; D'hooghe, Marie Beatrice; D'haeseleer, Miguel; Deco, Gustavo; Wens, Vincent; De Tiège, Xavier; Goldman, Serge; Woolrich, Mark W.; Nagels, Guy (Elsevier, 2021)
    In multiple sclerosis, the interplay of neurodegeneration, demyelination and inflammation leads to changes in neurophysiological functioning. This study aims to characterize the relation between reduced brain volumes and ...
  • Zinemanas, Pablo; Rocamora, Martín; Miron, Marius; Font Corbera, Frederic; Serra, Xavier (MDPI, 2021)
    Deep learning models have improved cutting-edge technologies in many research areas, but their black-box structure makes it difficult to understand their inner workings and the rationale behind their predictions. This may ...
  • Jancke, Dirk; Herlitze, Stefan; Kringelbach, Morten L.; Deco, Gustavo (Wiley, 2021)
    What is the effect of activating a single modulatory neuronal receptor type on entire brain network dynamics? Can such effect be isolated at all? These are important questions because characterizing elementary neuronal ...
  • 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 ...

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