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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

  • 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 ...
  • Sayago Barrantes, Sergio; Righi, Valeria; Rosales, Andrea; Möller Ferreira, Susan; Blat, Josep (2016)
    By drawing upon slightly more than a decade of research in the field of Human-Computer Interaction / ICT & Ageing, conducted by the authors in adult educational centres and computer clubhouses in European and South American ...
  • Bogdanov, Dmitry; Herrera Boyer, Perfecto, 1964- (International Society for Music Information Retrieval (ISMIR), 2011)
    In this work we consider distance-based approaches to music recommendation, relying on an explicit set of music tracks provided by the user as evidence of his/her music preferences. Firstly, we propose a purely content-based ...
  • Yang, Yi-Hsuan; Bogdanov, Dmitry; Herrera Boyer, Perfecto, 1964-; Sordo, Mohamed (ACM Association for Computer Machinery, 2012)
    The emergence of social tagging websites such as Last.fm has provided new opportunities for learning computational models that automatically tag music. Researchers typically obtain music tags from the Internet and use them ...
  • Bogdanov, Dmitry; Serrà Julià, Joan; Wack, Nicolas; Herrera Boyer, Perfecto, 1964- (Institute of Electrical and Electronics Engineers (IEEE), 2009)
    Studying the ways to recommend music to a user is a central task within the music information research community. From a content-based point of view, this task can be regarded as obtaining a suitable distance measurement ...
  • Haro Berois, Martín; Xambó, Anna; Fuhrmann, Ferdinand; Bogdanov, Dmitry; Gómez Gutiérrez, Emilia, 1975-; Herrera Boyer, Perfecto, 1964- (ACM Association for Computer Machinery, 2010)
    The music we like (i.e. our musical preferences) encodes and communicates key information about ourselves. Depicting such preferences in a condensed and easily understandable way is very appealing, especially considering ...
  • Bogdanov, Dmitry; Haro Berois, Martín; Fuhrmann, Ferdinand; Gómez Gutiérrez, Emilia, 1975-; Herrera Boyer, Perfecto, 1964- (CEUR Workshop Proceedings, 2010)
    Recommending relevant and novel music to a user is one of the central applied problems in music information research. In the present work we propose three content-based approaches to this task. Starting from an explicit ...
  • Bogdanov, Dmitry; Haro Berois, Martín; Fuhrmann, Ferdinand; Xambó, Anna; Gómez Gutiérrez, Emilia, 1975-; Herrera Boyer, Perfecto, 1964- (Institute of Electrical and Electronics Engineers (IEEE), 2011)
    The amount of digital music has grown unprecedentedly during the last years and requires the development of effective methods for search and retrieval. In particular, contentbased preference elicitation for music recommendation ...
  • Aspandi, Decky; Martínez, Oriol; Sukno, Federico Mateo; Binefa i Valls, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    The development of facial alignment models is growing rapidly thanks to the availability of large facial landmarked datasets and powerful deep learning models. However, important challenges still remain for facial alignment ...

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