• Training neural audio classifiers with few data

  Pons Puig, Jordi; Serrà Julià, Joan; Serra, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  We investigate supervised learning strategies that improve the training of neural network audio classifiers on small annotated collections. In particular, we study whether (i) a naive regularization of the solution space, ...
• End-to-end sound source separation conditioned on instrument labels

  Slizovskaia, Olga; Kim, Leo; Haro Ortega, Gloria; Gómez Gutiérrez, Emilia, 1975- (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  Can we perform an end-to-end music source separation with a variable number of sources using a deep learning model? This paper presents an extension of the Wave-UNet [1] model which allows end-to-end monaural ...
• Fully automatic 3D reconstruction of the placenta and its peripheral vasculature in intrauterine fetal MRI

  Torrents-Barrena, Jordina; Piella Fenoy, Gemma; Masoller, Narcís; Gratacós Solsona, Eduard; Eixarch, Elisenda; Ceresa, Mario; González Ballester, Miguel Ángel, 1973- (Elsevier, 2019)

  Recent advances in fetal magnetic resonance imaging (MRI) open the door to improved detection and characterization of fetal and placental abnormalities. Since interpreting MRI data can be complex and ambiguous, there is a ...
• The Few-get-richer: a surprising consequence of popularity-based rankings

  Germano, Fabrizio; Gómez, Vicenç; Le Mens, Gaël (ACM Association for Computer Machinery, 2019)

  Ranking algorithms play a crucial role in online platforms ranging from search engines to recommender systems. In this paper, we identify a surprising consequence of popularity-based rankings: the fewer the items reporting ...
• Interactive discovery system for direct democracy

  Aragón, Pablo; Bermejo, Yago; Gómez, Vicenç; Kaltenbrunner, Andreas (Institute of Electrical and Electronics Engineers (IEEE), 2018)

  Decide Madrid is the civic technology of Madrid City Council which allows users to create and support online petitions. Despite the initial success, the platform is encountering problems with the growth of petition signing ...
• Target wake time: scheduled access in IEEE 802.11ax WLANs

  Nurchis, Maddalena; Bellalta, Boris (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  The increasing interest in ubiquitous networking, and the tremendous popularity gained by IEEE 802.11 WLANs in recent years, is leading to very dense deployments where high levels of channel contention may prevent meeting ...
• 3D reconstruction of both shape and bone mineral density distribution of the femur from DXA images

  Humbert, Ludovic; Whitmarsh, Tristan; De Craene, Mathieu; del Río Barquero, Luis Miguel; Fritscher, Karl; Schubert, Rainer; Eckstein, Felix; Link, Thomas; Frangi Caregnato, Alejandro (Institute of Electrical and Electronics Engineers (IEEE), 2010)
• 3D bone mineral density distribution and shape reconstruction of the proximal femur from a single simulated DXA image: an in vitro study

  Whitmarsh, Tristan; Humbert, Ludovic; De Craene, Mathieu; del Río Barquero, Luis Miguel; Fritscher, Karl; Schubert, Rainer; Eckstein, Felix; Link, Thomas; Frangi Caregnato, Alejandro (Society of Photo Optical Instrumentation Engineers (SPIE), 2010)

  Area Bone Mineral Density (aBMD) measured by Dual-energy X-ray Absorptiometry (DXA) is an established criterion in the evaluation of hip fracture risk. The evaluation from these planar images, however, is limited to 2D ...
• Supporting the planning of hybrid-MOOCs learning designs

  Albó, Laia; Butera Castelo, Rodrigo; Hernández Leo, Davinia (CEUR Workshop Proceedings, 2019)

  This paper presents a work-in-progress solution for planning hybrid Massive Open Online Courses (MOOC). The use of MOOCs in brick and mortar courses presents several design challenges. One of them ...
• Measuring the evolution of contemporary western popular music

  Serrà, Joan; Corral, Álvaro; Boguñá, Marián; Haro Berois, Martín; Arcos, Josep Lluis (Nature Research, 2012)

  Popular music is a key cultural expression that has captured listeners' attention for ages. Many of the structural regularities underlying musical discourse are yet to be discovered and, accordingly, their historical ...
• Measuring ensemble interdependence in a string quartet through analysis of multidimensional performance data

  Papiotis, Panagiotis, 1985-; Marchini, Marco, 1984-; Pérez Carrillo, Alfonso Antonio, 1977-; Maestre Gómez, Esteban (Frontiers, 2014)

  In a musical ensemble such as a string quartet, the musicians interact and influence each other's actions in several aspects of the performance simultaneously in order to achieve a common aesthetic goal. In this article, ...
• Enriched multimodal representations of music performances: online access and visualization

  Maestre Gómez, Esteban; Papiotis, Panagiotis, 1985-; Marchini, Marco, 1984-; Llimona, Joaquim; Mayor Soto, Oscar; Pérez Carrillo, Alfonso Antonio, 1977-; Wanderley, Marcelo (Institute of Electrical and Electronics Engineers (IEEE), 2017)

  The authors provide a first-person outlook on the technical challenges involved in the recording, analysis, archiving, and cloud-based interchange of multimodal string quartet performance data as part of a collaborative ...
• End­-to-­end learning for music audio tagging at scale

  Pons Puig, Jordi; Nieto, Oriol; Prockup, Matthew; Schmidt, Erik M.; Ehmann, Andreas F.; Serra, Xavier (2017)

  The lack of data tends to limit the outcomes of deep learning research – specially, when dealing with end-to-end learning stacks processing raw data such as waveforms. In this study we make use of musical labels annotated ...
• Reasoning about policy behavior in logic-based trust management systems: some complexity results and an operational framework

  Pasarella Sánchez, Ana Edelmira; Lobo, Jorge (Institute of Electrical and Electronics Engineers (IEEE), 2015)

  In this paper we show that the logical framework proposed by Becker et al. [1] to reason about security policy behavior in a trust management context can be captured by an operational framework that is based on the language ...
• Collaborative spatial reuse in wireless networks via selfish multi-armed bandits

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

  Next-generation wireless deployments are characterized by being dense and uncoordinated, which often leads to inefficient use of resources and poor performance. To solve this, we envision the utilization of completely ...
• Correspondence between audio and visual deep models for musical instrument detection in video recordings

  Slizovskaia, Olga; Gómez Gutiérrez, Emilia, 1975-; Haro Ortega, Gloria (International Society for Music Information Retrieval (ISMIR), 2017)

  This work aims at investigating cross-modal connections between audio and video sources in the task of musical instrument recognition. We also address in this work the understanding of the representations learned by ...
• To overlap or not to overlap: Enabling channel bonding in high-density WLANs

  Barrachina Muñoz, Sergio; Wilhelmi Roca, Francesc; Bellalta, Boris (Elsevier, 2019)

  Wireless local area networks (WLANs) are the most popular kind of wireless Internet connection because of their simplicity of deployment and operation. As a result, the number of devices accessing the Internet through WLANs ...
• Optimizing resource allocation for virtualized network functions in a cloud center using genetic algorithms

  Rankothge, Windhya; Le, Franck; Russo, Alessandra; Lobo, Jorge (Institute of Electrical and Electronics Engineers (IEEE), 2017)

  With the introduction of network function virtualization technology, migrating entire enterprise data centers into the cloud has become a possibility. However, for a cloud service provider (CSP) to offer such services, ...
• Creating an a cappella singing audio dataset for automatic Jingju singing evaluation research

  Gong, Rong; Caro Repetto, Rafael; Serra, Xavier (ACM Association for Computer Machinery, 2017)

  e data-driven computational research on automatic jingju (also known as Beijing or Peking opera) singing evaluation lacks a suitable and comprehensive a cappella singing audio dataset. In this work, we present an a ...
• Sing Master: an intelligent mobile game for teaching singing

  Dzhambazov, Georgi Bogomilov; Goranchev, Kamen (Institute of Electrical and Electronics Engineers (IEEE), 2016)

  In this paper we present Sing Master - a new mobile application that allows singing enthusiasts to fulfil their dream: to learn singing. Sing Master is a game-like singing tutor that presents a series of singing exercises ...

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