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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

  • Ferraro, Andrés; Serra, Xavier; Bauer, Christine (ACM Association for Computer Machinery, 2021)
    As recommender systems play an important role in everyday life, there is an increasing pressure that such systems are fair. Besides serving diverse groups of users, recommenders need to represent and serve item providers ...
  • Hernández Leo, Davinia; Theophilou, Emily; Lobo, René; Sánchez-Reina, J. Roberto; Ognibene, Dimitri (2021)
    Social media has become an important part of adolescents' lives, with an increasing number of teenagers spending a great part of their time creating, sharing, and socializing with online content. Although the popularity ...
  • Estivill Castro, Vladimir; Gilmore, Eugene; Hexel, René (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    How can there be Human-In-the-Loop-Learning (HILL) if datasets aimed at building classifiers have ever more dimensions? We make two contributions. First, we examine the few early results on the effectiveness of HILL for ...
  • Vitoria, Patricia; Sintes Marcos, Joan; Ballester, Coloma (Springer, 2019)
    Image completion or image inpainting is the task of filling in missing regions of an image. When those areas are large and the missing information is unique such that the information and redundancy available in the image ...
  • Estivill Castro, Vladimir; Hexel, René; Lusty, Carl (Springer, 2014)
    We present gusimplewhiteboard, a software architecture analogous to ROS:services and ROS: messages, that enables the construction and extremely efficient inter-process relaying of message-types as C++11 objects, All ...
  • Estivill Castro, Vladimir; Hexel, René (Springer, 2020)
    Models are used mainly to communicate among humans the most relevant aspects of the item being modelled. Moreover, for achieving impact in modern complex applications, modelling languages and tools must support some level ...
  • Baghery, Karim; González, Alonso; Pindado, Zaira; Ràfols, Carla (Springer, 2020)
    This paper constructs unbounded simulation sound proofs for boolean circuit satisfiability under standard assumptions with proof size O(n+d) bilinear group elements, where d is the depth and n is the input size of the ...
  • Ràfols, Carla; Silva, Javier (Springer, 2020)
    Zero-knowledge proofs of satisfiability of linear equations over a group are often used as a building block of more complex protocols. In particular, in an asymmetric bilinear group we often have two commitments in different ...
  • Mosayebi, Reza; Mojahedian, Mohammad Mahdi; Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    This paper formulates a linear receiver for the uplink of centralized, possibly cloud-based, radio access networks operating in a cell-free fashion. This receiver, which draws on the notion of soft parallel interference ...
  • 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 ...

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