• A Fluctuation-driven mechanism for slow decision processes in reverberant networks

  Martí, Daniel; Deco, Gustavo; Mattia, Maurizio; Gigante, Guido; Del Giudice, Paolo (Public Library of Science (PLoS), 2008)

  The spike activity of cells in some cortical areas has been found to be correlated with reaction times and behavioral responses during two-choice decision tasks. These experimental findings have motivated the study of ...
• INGENIOUS: the first responder of the future. A next generation integrated toolkit for collaborative response, increasing protection and augmenting operational capacity.

  Institute of Communications and Computer Systems; Universiteit Twente; Deutsches Zentrum Fuer Luft – Und Raumfahrt; Diginext; Fundacion Tekniker; Exus; SINTEF; Center for Research & Technology Hellas; Totalförvarets Forskningsinstitut; SATWAYS; Alpes Lasers; Technische Universitaet Wien; Cyprus Research & Innovation Center; Universitat Pompeu Fabra; SingularLogic; Korea Institute of Robot & Convergence; Gobierno Vasco, Departamento de Seguridad; Hopitaux de Paris (SafeCorfu, 2019)

  The INGENIOUS project (EU Horizon 2020) aims to develop, integrate, test, deploy, demonstrate and validate a Next Generation Integrated Toolkit (NGIT) for Collaborative Response, which ensures high level of Protection & ...
• Conceptualising a visual representation model for MOOC-based blended learning designs

  Albó, Laia; Hernández Leo, Davinia (2020)

  This article reports on a study about how massive open online course (MOOC)-based blended learning designs can be visually represented to facilitate their comprehension and sharing. We carried out an iterative co-creation ...
• Thermal impact of balloon occlusion of the coronary sinus during mitral isthmus radiofrequency ablation: an in-silico study

  González-Suárez, Ana; d'Avila, Andre; Pérez, Juan J.; Reddy, Vivek Y.; Camara, Oscar; Berjano, Enrique J. (Taylor & Francis, 2019)

  Purpose: Although experimental data have suggested that temporary occlusion of the coronary sinus (CS) can facilitate the creation of transmural lesions across the atrial wall (AW) during mitral isthmus radiofrequency ...
• Enhancing music learning with smart technologies

  Ramírez, Rafael,1966-; Canepa, Corrado; Ghisio, Simone; Kolykhalova, Ksenia; Mancini, Maurizio; Volta, Erica; Volpe, Gualtiero; Giraldo, Sergio; Mayor, Oscar; Perez, Alfonso; Waddell, George; Williamon, Aaron (ACM Association for Computer Machinery, 2018)

  Learning to play a musical instrument is a difficult task, requiring the development of sophisticated skills. Nowadays, such a learning process is mostly based on the master-apprentice model. Technologies are rarely ...
• A Machine learning approach to violin bow technique classification: a comparison between IMU and MOCAP systems

  Dalmazzo, David; Tassani, Simone; Ramírez, Rafael,1966- (ACM Association for Computer Machinery, 2018)

  Motion Capture (MOCAP) Systems have been used to analyze body motion and postures in biomedicine, sports, rehabilitation, and music. With the aim to compare the precision of low-cost devices for motion tracking (e.g. Myo) ...
• Can faces prime a language?

  Woumans, Evy; Martin, Clara D.; Vanden Bulcke, Charlotte; Van Assche, Eva; Costa, Albert, 1970-; Hartsuiker, Robert J.; Duyck, Wouter (SAGE Publications, 2015)

  Bilinguals have two languages that are activated in parallel. During speech production, one of these languages must be selected on the basis of some cue. The present study investigated whether the face of an interlocutor ...
• Effective diversity of OTFS modulation

  Raviteja, P.; Hong, Yi; Viterbo, Emanuele; Biglieri, Ezio (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  Orthogonal time frequency space (OTFS) modulation, which encodes information symbols in the delay–Doppler domain, offers a promising solution to the problem of high Doppler sensitivity of orthogonal frequency division ...
• Interweaving and enriching digital music collections for scholarship, performance, and enjoyment

  Weigl, David M.; Goebl, Werner; Crawford, Tim; Gkiokas, Aggelos; Gutierrez, Nicolas F.; Porter, Alastair; Santos, Patricia; Karreman, Casper; Vroomen, Ingmar; Liem, Cynthia C. S.; Sarasúa, Álvaro; van Tilburg, Marcel (ACM Association for Computer Machinery, 2019)

  The turn toward the digital has opened up previously difficult to access musical materials to wider musicological scholarship. Digital repositories provide access to publicly licensed score images, score encodings, textual ...
• JamSketch: a drawing-based real-time evolutionary improvisation support system

  Kitahara, Tetsuro; Giraldo, Sergio; Ramírez, Rafael,1966- (Aalborg University Copenhagen, 2017)

  In this paper, we present JamSketch, a real-time improvisation support system which automatically generates melodies according to melodic outlines drawn by the users. The system generates the improvised melodies based on ...
• Acquisition of violin instrumental gestures using an infrared depth camera

  Vamvakousis, Zacharias; Perez, Alfonso; Ramírez, Rafael,1966- (Cyprus University of Technology, 2018)

  We present a low-cost six-degrees of freedom violin and bow pose-tracking system. The infrared and depth streams of an infrared-based Microsoft Kinect Mbox One depth camera are utilized to track the 3-dimensional position ...
• Computational modelling of timbre dimensions for automatic violin tone quality assessment

  Giraldo, Sergio; Ramírez, Rafael,1966-; Waddell, George; Williamon, Aaron (McGill University, 2018)

  Automatic assessment of music performance is an open research area widely studied in the past. A vast amount of systems aiming to enhance the learning process of a musical instrument are being developed in the recent years. ...
• Automatic assessment of tone quality in violin music performance

  Giraldo, Sergio; Waddell, George; Nou Plana, Ignasi; Ortega, Ariadna; Mayor, Oscar; Perez, Alfonso; Williamon, Aaron; Ramírez, Rafael,1966- (Frontiers, 2019)

  The automatic assessment of music performance has become an area of increasing interest due to the growing number of technology-enhanced music learning systems. In most of these systems, the assessment of musical performance ...
• Computational modelling of expressive music performance in hexaphonic guitar

  Siquier, Marc; Giraldo, Sergio; Ramírez, Rafael,1966- (Machine Learning and Music (MML), 2017)

  Computational modelling of expressive music performance has been widely studied in the past. While previous work in this area has been mainly focused on classical piano music, there has been very little work on guitar ...
• A Real-time feedback learning tool to visualize sound quality in violin performances

  Giraldo, Sergio; Ramírez, Rafael,1966-; Waddell, George; Williamon, Aaron (Machine Learning and Music (MML), 2017)

  The assessment of the sound properties of a performed mu- sical note has been widely studied in the past. Although a consensus exist on what is a good or a bad musical performance, there is not a formal de nition of ...
• Neural correlates of bow learning technique

  Blanco, Angel; Ramírez, Rafael,1966- (Machine Learning and Music (MML), 2017)

  In this work we want to study the process of learning a musical instrument through the use of audio descriptors and EEG. Twelve subjects participated in our experiment. Subjects were divided into two groups: a group ...
• Hexaphonic guitar transcription and visualisation

  Angulo, Iñigo; Giraldo, Sergio; Ramírez, Rafael,1966- (Anglia Ruskin University, 2016)

  Music representation has been a widely researched topic through centuries. Transcription of music through the conventional notation system has dominated the field, for the best part of the last centuries. However, this ...
• New techniques for structural batch verification in bilinear groups with applications to groth-Sahai proofs

  Herold, Gottfried; Hoffmann, Max; Klooß, Michael; Ràfols, Carla; Rupp, Andy (ACM Association for Computer Machinery, 2017)

  Bilinear groups form the algebraic setting for a multitude of important cryptographic protocols including anonymous credentials, e-cash, e-voting, e-coupon, and loyalty systems. It is typical of such crypto protocols ...
• A connection between image processing and artificial neural networks layers through a geometric model of visual perception

  Batard, Thomas; Maldonado, Eduard Ramon; Steidl, Gabriele; Bertalmío, Marcelo (Springer, 2019)

  In this paper, we establish a connection between image processing, visual perception, and deep learning by introducing a mathematical model inspired by visual perception from which neural network layers and image ...
• A cortical-inspired model for orientation-dependent contrast perception: a link with Wilson-Cowan equations

  Bertalmío, Marcelo; Calatroni, Luca; Franceschi, Valentina; Franceschiello, Benedetta; Prandi, Dario (Springer, 2018)

  We consider a differential model describing neuro-physiological contrast percep- tion phenomena induced by surrounding orientations. The mathematical formulation relies on a cortical-inspired modelling [10] largely used ...

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