• 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 ...
• 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 ...
• 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 ...
• 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 ...
• 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, ...
• A Machine learning approach to ornamentation modeling and synthesis in jazz guitar

  Ramírez, Rafael; Giraldo, Sergio (Taylor & Francis, 2016)

  We present a machine learning approach to automatically generate expressive (ornamented) jazz performances from un-expressive music scores. Features extracted from the scores and the corresponding audio recordings performed ...
• Spectral analysis of quadrature rules and fourier truncation-based methods applied to shading integrals

  Marques, Ricardo; Bouville, Christian; Bouatouch, Kadi (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  We propose a theoretical framework, based on the theory of Sobolev spaces, that allows for a comprehensive analysis of quadrature rules for integration over the sphere. We apply this framework to the case of shading ...
• Different ERP profiles for learning rules over consonants and vowels

  Monte Ordoño, Julia, 1989-; Toro Soto, Juan Manuel, 1976- (Elsevier, 2017)

  The Consonant-Vowel hypothesis suggests that consonants and vowels tend to be used differently during language processing. In this study we explored whether these functional differences trigger different neural responses ...
• Processing advantages for consonance: a comparison between rats (Rattus Norvegicus) and humans (Homo Sapiens)

  Crespo Bojorque, Paola, 1985-; Toro Soto, Juan Manuel, 1976- (American Physiological Society, 2016)

  Consonance is a salient perceptual feature in harmonic music associated with pleasantness. Besides being deeply rooted in how we experience music, research suggests consonant intervals are more easily processed than dissonant ...
• Frequency-based organization of speech sequences in a nonhuman animal

  Toro Soto, Juan Manuel, 1976-; Nespor, Marina; Gervain, Judit (Elsevier, 2016)

  A recurrent question regarding language acquisition is the extent to which the mechanisms human infants use to discover patterns over the linguistic signal are highly specialized and uniquely human, or are the result of ...
• Modified conjugate beamforming for cell-free massive MIMO

  Attarifar, Masoud; Abbasfar, Aliazam; Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  We present a modification of conjugate beamforming for the forward link of cell-free massive MIMO networks. This modification eliminates the self-interference and yields a performance that, without forward pilots, closely ...
• Distribution of the number of users per base station in cellular networks

  George, Geordie; Lozano Solsona, Angel; Haenggi, Martin (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  We consider the number of users associating with each base station in a cellular network. Extending and unifying the characterizations for certain settings available in the literature, we derive a result that is asymptotic ...
• A Machine learning approach to discover rules for expressive performance actions in jazz guitar music

  Giraldo, Sergio; Ramírez, Rafael,1966- (Frontiers, 2016)

  Expert musicians introduce expression in their performances by manipulating sound properties such as timing, energy, pitch, and timbre. Here, we present a data driven computational approach to induce expressive performance ...
• Affine non-local means image denoising

  Fedorov, Vadim; Ballester, Coloma (Institute of Electrical and Electronics Engineers (IEEE), 2017)

  This work presents an extension of the Non-Local Means denoising method, that effectively exploits the affine invariant self-similarities present in images of real scenes. Our method provides a better image denoising ...
• Network events on multiple space and time scales in cultured neural networks and in a stochastic rate model

  Gigante, Guido; Deco, Gustavo; Marom, Shimon; Del Giudice, Paolo (Public Library of Science (PLoS), 2015)

  Cortical networks, in-vitro as well as in-vivo, can spontaneously generate a variety of collective dynamical events such as network spikes, UP and DOWN states, global oscillations, and avalanches. Though each of them has ...
• Increased stability and breakdown of brain effective connectivity during slow-wave sleep: mechanistic insights from whole-brain computational modelling

  Jobst, Beatrice M.; Hindriks, Rikkert; Laufs, Helmut; Tagliazucchi, Enzo; Hahn, Gerald; Ponce-Alvarez, Adrián; Stevner, Angus B. A.; Kringelbach, Morten L.; Deco, Gustavo (Nature Research, 2017)

  Recent research has found that the human sleep cycle is characterised by changes in spatiotemporal patterns of brain activity. Yet, we are still missing a mechanistic explanation of the local neuronal dynamics underlying ...
• Uncovering the underlying mechanisms and whole-brain dynamics of deep brain stimulation for Parkinson’s disease

  Saenger Amoore, Victor Manuel; Kahan, Joshua; Foltynie, Tom; Friston, Karl; Aziz, Tipu Z.; Green, Alex L.; Van Hartevelt, Tim J.; Cabral, Joana R. B.; Stevner, Angus B. A.; Fernandes, Henrique M.; Mancini, Laura; Thornton, John; Yousry, Tarek; Limousin, Patricia; Zrinzo, Ludvic; Hariz, Marwan; Marques, Paulo; Sousa, Nuno; Kringelbach, Morten L.; Deco, Gustavo (Nature Research, 2017)

  Deep brain stimulation (DBS) for Parkinson’s disease is a highly effective treatment in controlling otherwise debilitating symptoms. Yet the underlying brain mechanisms are currently not well understood. Whole-brain ...

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