• 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 ...
• Early positivity signals changes in an abstract linguistic pattern

  Monte Ordoño, Julia, 1989-; Toro Soto, Juan Manuel, 1976- (Public Library of Science (PLoS), 2017)

  The extraction of abstract structures from speech (or from gestures in the case of sign languages) has been claimed to be a fundamental mechanism for language acquisition. In the present study we registered the neural ...
• Early neural responses underlie advantages for consonance over dissonance

  Crespo Bojorque, Paola, 1985-; Monte Ordoño, Julia, 1989-; Toro Soto, Juan Manuel, 1976- (Elsevier, 2018)

  Consonant musical intervals tend to be more readily processed than dissonant intervals. In the present study, we explore the neural basis for this difference by registering how the brain responds after changes in consonance ...
• Learning a new selection rule in visual and frontal cortex

  van der Togt, Chris; Stănişor, Liviu; Pooresmaeili, Arezoo; Albantakis, Larissa; Deco, Gustavo; Roelfsema, Pieter R. (Oxford University Press, 2016)

  How do you make a decision if you do not know the rules of the game? Models of sensory decision-making suggest that choices are slow if evidence is weak, but they may only apply if the subject knows the task rules. Here, ...
• FUBImethod: Strategies to engage children in the co-design of Full-Body interactive experiences

  Schaper, Marie-Monique; Iversen, Ole Sejer; Malinverni, Laura; Parés, Narcís, 1966- (Elsevier, 2019)

  In this paper, we present the FUBImethod, a method based on six stages to co-design interactive experiences based on Full-Body Interaction. The FUBImethod aims specifically to engage children in co-design processes and to ...
• 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 ...
• Human consciousness is supported by dynamic complex patterns of brain signal coordination

  Demertzi, A.; Tagliazucchi, Enzo; Dehaene, Stanislas; Deco, Gustavo; Barttfeld, P.; Raimondo, F.; Martial, C.; Fernández-Espejo, D.; Rohaut, B.; Voss, H. U.; Schiff, N. D.; Owen, A. M.; Laureys, S.; Naccache, L.; Sitt, J. D. (American Association for the Advancement of Science (AAAS), 2019)

  Adopting the framework of brain dynamics as a cornerstone of human consciousness, we determined whether dynamic signal coordination provides specific and generalizable patterns pertaining to conscious and unconscious states ...
• 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 ...
• Structural coronary artery remodelling in the rabbit fetus as a result of intrauterine growth restriction

  García Cañadilla, Patricia, 1985-; de Vries, Tom; González-Tendero, Anna; Bonnin, Anne; Gratacós Solsona, Eduard; Crispi Brillas, Fàtima; Bijnens, Bart; Zhang, Chong (Public Library of Science (PLoS), 2019)

  Intrauterine growth restriction (IUGR) is a fetal condition that affects up to 10% of all pregnancies and is associated with cardiovascular structural and functional remodelling that persists postnatally. Some studies have ...
• 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 ...
• Potential and pitfalls of multi-armed bandits for decentralized spatial reuse in WLANs

  Wilhelmi Roca, Francesc; Barrachina Muñoz, Sergio; Bellalta, Boris; Cano Bastidas, Cristina; Jonsson, Anders, 1973-; Neu, Gergely (Elsevier, 2019)

  Spatial Reuse (SR) has recently gained attention to maximize the performance of IEEE 802.11 Wireless Local Area Networks (WLANs). Decentralized mechanisms are expected to be key in the development of SR solutions for ...
• 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 ...
• Melody extraction from polyphonic music signal susing pitch contour characteristics

  Salamon, Justin J.; Gómez Gutiérrez, Emilia, 1975- (Institute of Electrical and Electronics Engineers (IEEE), 2012)

  We present a novel system for the automatic extraction of the main melody from polyphonic music recordings. Our approach is based on the creation and characterisation of pitch contours, time continuous sequences of pitch ...
• Selective sampling for beat tracking evaluation

  Holzapfel, Andre; Davies, Matthew E. P.; Zapata, José R.; Lobato Oliveira, João; Gouyon, Fabien (Institute of Electrical and Electronics Engineers (IEEE), 2012)

  In this paper, we propose a method that can identify challenging music samples for beat tracking without ground truth. Our method, motivated by the machine learning method “selective sampling,” is based on the measurement ...

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