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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

  • Awrangjeb, Mohammad; Rodrigues, Jardel das C.; Stantic, Bela; Estivill Castro, Vladimir (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    The electroencephalogram (EEG) signal, which records the electrical activity in the brain, is useful for assessing the mental state of the alcoholic subject. Since the public release of an EEG dataset by the University of ...
  • Beg, Abul Hashem; Islam, Zahidul; Estivill Castro, Vladimir (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    We propose a new clustering technique called HeMI++. It uses cleansing and cloning operations that help to produce sensible clusters. HeMI++ learns necessary properties of a good clustering solution for a dataset from a ...
  • López Raventós, Álvaro; Wilhelmi Roca, Francesc; Barrachina Muñoz, Sergio; Bellalta, Boris (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Next generation of wireless local area networks (WLANs) will operate in dense, chaotic and highly dynamic scenarios that in a significant number of cases may result in a low user experience due to uncontrolled high ...
  • Altin, Soner; Baeza Yates, Ricardo; Cambazoglu, B. Barla (Springer, 2020)
    We explore different techniques for pruning an inverted index in advance, that is, without building the full index. These techniques provide interesting trade-offs between index size, answer quality and query coverage. We ...
  • Solans, David; Biggio, Battista; Castillo, Carlos (Springer, 2020)
    Research in adversarial machine learning has shown how the performance of machine learning models can be seriously compromised by injecting even a small fraction of poisoning points into the training data. While the effects ...
  • Alomar Adrover, Antònia; Morales, Araceli; Vellvé, Kilian; Porras Pérez, Antonio Reyes; Crispi Brillas, Fàtima; Linguraru, Marius; Piella Fenoy, Gemma; Sukno, Federico Mateo (SciTePress. Science and Technology Publications, 2021)
    The fetal face contains essential information in the evaluation of congenital malformations and the fetal brain function, as its development is driven by genetic factors at early stages of embryogenesis. Three-dimensional ...
  • AbuRa’ed, Ahmed; Saggion, Horacio (CEUR Workshop Proceedings, 2021)
    A related work report is a text which integrates key information from a list of related scientific papers providing context to the work being presented. In this paper we study the automatic generation of related work reports ...
  • Accuosto, Pablo; Neves, Mariana; Saggion, Horacio (CEUR Workshop Proceedings, 2021)
    In this work we propose to tackle the limitations posed by the lack of annotated data for argument mining in scientific texts by annotating argumentative units and relations in research abstracts in two scientific domains. ...
  • Pandey, Rahul; Castillo, Carlos; Purohit, Hemant (ACM Association for Computer Machinery, 2019)
    High-quality human annotations are necessary to create effective machine learning systems for social media. Low-quality human annotations indirectly contribute to the creation of inaccurate or biased learning systems. We ...
  • Ciamarone, Luciano; Bozkurt, Baris; Serra, Xavier (Springer, 2019)
    This work focuses on automatic Dastgah recognition of monophonic audio recordings of Iranian music using Markov Models. We present an automatic recognition system that models the sequence of intervals computed from quantized ...
  • 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 ...
  • 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 ...

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