• A Model for evaluating popularity and semantic information variations in radio listening sessions

  Porcaro, Lorenzo; Gómez Gutiérrez, Emilia, 1975- (2019)

  Listening to music radios is an activity that since the 20th century is part of the cultural habits for people all over the world. While in the case of analog radios DJs are in charge of selecting the music to be ...
• CCA2-secure threshold broadcast encryption with shorter ciphertexts

  Daza, Vanesa; Herranz, Javier; Morillo, Paz; Ràfols, Carla (Springer, 2007)

  In a threshold broadcast encryption scheme, a sender chooses (ad-hoc) a set of n receivers and a threshold t, and then encrypts a message by using the public keys of all the receivers, in such a way that the original ...
• The Security of all bits using list decoding

  Morillo, Paz; Ràfols, Carla (Springer, 2009)

  The relation between list decoding and hard-core predicates has provided a clean and easy methodology to prove the hardness of certain predicates. So far this methodology has only been used to prove that the O(log logN) ...
• Constant size ciphertexts in threshold attribute-based encryption

  Herranz, Javier; Laguillaumie, Fabien; Ràfols, Carla (Springer, 2010)

  Attribute-based cryptography has emerged in the last years as a promising primitive for digital security. For instance, it provides good solutions to the problem of anonymous access control. In a ciphertext- policy ...
• Short attribute-based signatures for threshold predicates

  Herranz, Javier; Laguillaumie, Fabien; Libert, Benoît; Ràfols, Carla (Springer, 2012)

  Attribute-based cryptography is a natural solution for fine- grained access control with respect to security policies. In the case of attribute-based signatures (ABS), users obtain from an authority their secret keys ...
• An algebraic framework for Diffie-Hellman assumptions

  Escala, Alex; Herold, Gottfried; Kiltz, Eike; Ràfols, Carla; Villar, Jorge (Springer, 2013)

  We put forward a new algebraic framework to generalize and analyze Di_e-Hellman like Decisional Assumptions which allows us to argue about security and applications by considering only algebraic properties. Our D`;k-MDDH ...
• Identification of potential Music Information Retrieval technologies for computer-aided jingju singing training

  Gong, Rong; Serra, Xavier (2017)

  Music Information Retrieval (MIR) technologies have been proven useful in assisting western classical singing training. Jingju (also known as Beijing or Peking opera) singing is different from western singing in terms ...
• Polynomial spaces: a new framework for composite to-prime-order transformations

  Herold, Gottfried; Hesse, Julia; Hofheinz, Dennis; Ràfols, Carla; Rupp, Andy (Springer, 2014)

  At Eurocrypt 2010, Freeman presented a framework to convert cryptosystems based on composite-order groups into ones that use prime-order groups. Such a transformation is interesting not only from a conceptual point of ...
• Identity-based lossy trapdoor functions: new definitions, hierarchical extensions, and implications

  Escala, Alex; Herranz, Javier; Libert, Benoît; Ràfols, Carla (Springer, 2014)

  Lossy trapdoor functions, introduced by Peikert and Waters (STOC’08), have received a lot of attention in the last years, because of their wide range of applications. The notion has been recently extended to the ...
• Stretching Groth-Sahai: NIZK proofs of partial satisfiability

  Ràfols, Carla (Springer, 2015)

  Groth, Ostrovsky and Sahai constructed a non-interactive Zap for NP-languages by observing that the common reference string of their proof system for circuit satisfiability admits what they call correlated key generation. ...
• QA-NIZK arguments in asymmetric groups: new tools and new constructions

  González, Alonso; Hevia, Alejandro; Ràfols, Carla (Springer, 2015)

  A sequence of recent works have constructed constant-size quasi-adaptive (QA) NIZK arguments of membership in linear subspaces of ^Gm, where ^G is a group equipped with a bilinear map e : G x H --> T. Although applicable ...
• The Kernel Matrix Diffie-Hellman assumption

  Morillo, Paz; Ràfols, Carla; Villar, Jorge L. (Springer, 2016)

  We put forward a new family of computational assumptions, the Kernel Matrix Diffi-Hellman Assumption. Given some matrix A sampled from some distribution D, the kernel assumption says that it is hard to find \in the ...
• Data augmentation for instrument classification robust to audio effects

  Ramires, António; Serra, Xavier (2019)

  Reusing recorded sounds (sampling) is a key component in Electronic Music Production (EMP), which has been present since its early days and is at the core of genres like hip-hop or jungle. Commercial and non-commercial ...
• Standard quasi-conformal flattening of the right and left atria

  Nuñez-Garcia, Marta; Bernardino Perez, Gabriel; Doste, Rubén; Zhao, Jichao; Camara, Oscar; Butakoff, Constantine (Springer, 2019)

  Two-dimensional standard representations of 3D anatomical structures are a simple and intuitive way for analysing patient information across populations and image modalities. They also allow convenient visualizations that ...
• A Monte Carlo tree search approach to learning decision trees

  Nunes, Cecília; De Craene, Mathieu; Langet, Hélène; Camara, Oscar; Jonsson, Anders, 1973- (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  Decision trees (DTs) are a widely used prediction tool, owing to their interpretability. Standard learning methods follow a locally-optimal approach that trades off prediction performance for computational efficiency. Such ...
• Uplink fractional power control for cell-free wireless networks

  Nikbakht, Rasoul; Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  This paper proposes a power control policy for the uplink of cell-free wireless networks. Such policy, which generalizes the fractional power control used extensively in cellular networks, relies only on large-scale ...
• MusicCritic: A technological framework to support online music teaching for large audiences

  Bozkurt, Baris; Gulati, Sankalp; Romani Picas, Oriol; Serra, Xavier (International Society for Music Education, 2018)

  This paper concerns online music education and as contribution, it proposes a new technological framework to support online music performance teaching to reduce loads on teachers for assessing large number of student ...
• The MTG-Jamendo dataset for automatic music tagging

  Bogdanov, Dmitry; Won, Minz Sanghee; Tovstogan, Philip; Porter, Alastair; Serra, Xavier (2019)

  We present the MTG-Jamendo Dataset, a new open dataset for music auto-tagging. It is built using music available at Jamendo under Creative Commons licenses and tags provided by content uploaders. The dataset contains ...
• The AcousticBrainz genre dataset: Multi-source, multi-level, multi-label, and large-scale

  Bogdanov, Dmitry; Porter, Alastair; Schreiber, Hendrik; Urbano, Julián; Oramas, Sergio (International Society for Music Information Retrieval (ISMIR), 2019)

  This paper introduces the AcousticBrainz Genre Dataset, a large-scale collection of hierarchical multi-label genre annotations from different metadata sources. It allows researchers to explore how the same music pieces ...
• Discourse-driven argument mining in scientific abstracts

  Accuosto, Pablo; Saggion, Horacio (Springer, 2019)

  Argument mining consists in the automatic identification of argumentative structures in texts. In this work we address the open question of whether discourse-level annotations can contribute to facilitate the identification ...

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