• 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 ...
• Automatic playlist continuation using a hybrid recommender system combining features from text and audio

  Ferraro, Andrés; Bogdanov, Dmitry; Yoon, Jisang; Kim, KwangSeob; Serra, Xavier (ACM Association for Computer Machinery, 2018)

  The ACM RecSys Challenge 2018 focuses on music recommendation in the context of automatic playlist continuation. In this paper, we describe our approach to the problem and the final hybrid system that was submitted to the ...
• Singing voice phoneme segmentation by hierarchically inferring syllable and phoneme onset positions

  Gong, Rong; Serra, Xavier (International Speech Communication Association (ISCA), 2018)

  In this paper, we tackle the singing voice phoneme segmentation problem in the singing training scenario by using language independent information – onset and prior coarse duration. We propose a two-step method. In the ...
• 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 ...
• Bowing modeling for violin students assistance

  Ortega, Fabio J. M.; Giraldo, Sergio; Ramírez, Rafael,1966- (ACM Association for Computer Machinery, 2017)

  Though musicians tend to agree on the importance of practicing expressivity in performance, not many tools and techniques are available for the task. A machine learning model is proposed for predicting bowing velocity ...
• Jointly optical flow and occlusion estimation for images with large displacements

  Lazcano, Vanel; Garrido Ostermann, Luis; Ballester, Coloma (SCITEPRESSSCITEPRESS, 2018)

  This paper deals with motion estimation of objects in a video sequence. This problem is known as optical flow estimation. Traditional models to estimate it fail in presence of occlusions and non-uniform illumination. To ...
• Semantic image inpainting through improved Wasserstein generative adversarial networks

  Vitoria, Patricia; Sintes Marcos, Joan; Ballester, Coloma (SCITEPRESS, 2019)

  Image inpainting is the task of filling-in missing regions of a damaged or incomplete image. In this work we tackle this problem not only by using the available visual data but also by incorporating image semantics through ...
• 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 ...
• Random vs structured pilot assignment in cell-free massive MIMO wireless networks

  Attarifar, Masoud; Abbasfar, Aliazam; Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2018)

  This paper addresses the performance improvement that structured pilot assignment policies can bring about, relative to a random pilot assignment, in cell-free massive MIMO wireless networks. It is shown that structured ...
• Computation-bandwidth trading for mobile edge computing

  Gupta, Sabyasachi; Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  We consider the problem of mobile computation offloading to both an edge cloud and to peer devices, and propose bandwidth incentives for those peer devices. Based on this idea, we formulate a joint optimization of the share ...
• Dual-kernel online reconstruction of power maps

  Nikbakht, Rasoul; Jonsson, Anders; Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2018)

  We present a measurement-driven algorithm to map the large-scale channel losses observed between a cellular base station and any point in its coverage area. The algorithm is on-line, meaning that it operates on continuously ...
• 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 ...
• An analysis and speedup of the FALDOI method for Optical Flow estimation

  Gamonal, Ferran P.; Ballester, Coloma; Haro Ortega, Gloria; Meinhardt-Llopis, Enric; Palomares, Roberto P. (Editor Image Processing On Line, 2019)

  We present a detailed analysis of FALDOI, a large displacement optical flow method proposed by P. Palomares et al. This method requires a set of discrete matches, which can be extremely sparse, and an energy functional ...
• An affine invariant patch similarity

  Fedorov, Vadim; Ballester, Coloma (Image Processing On Line, 2018)

  Image and video comparison is often approached by comparing patches of visual information. In this work we present a detailed description and implementation of an affine invariant patch simi- larity measure that performs ...
• Automatic flare spot artifacts detection and removal in photographs

  Vitoria, Patricia; Ballester, Coloma (Springer, 2018)

  Flare spot is one type of are artifact caused by a number of conditions, frequently provoked by one or more high-luminance sources within or close to the camera field of view. When light rays coming from a high-luminance ...
• Lateral orbitofrontal cortex anticipates choices and integrates prior with current information

  Nogueira, Ramon; Abolafia, Juan M.; Drugowitsch, Jan; Balaguer-Ballester, Emili; Sanchez-Vives, Maria V.; Moreno Bote, Rubén (Nature Research, 2017)

  Adaptive behavior requires integrating prior with current information to anticipate upcoming events. Brain structures related to this computation should bring relevant signals from the recent past into the present. Here ...
• Inferring multi-scale neural mechanisms with brain network modelling

  Schirner, Michael; Randal McIntosh, Anthony; Jirsa, Viktor K.; Deco, Gustavo; Ritter, Petra (eLife, 2018)

  The neurophysiological processes underlying non-invasive brain activity measurements are incompletely understood. Here, we developed a connectome-based brain network model that integrates individual structural and functional ...

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