• 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 & ...
• 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) ...
• 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. ...
• 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 ...
• Gamut mapping through perceptually-based contrast reduction

  Bertalmío, Marcelo; Zamir, Syed Waqas; Vazquez-Corral, Javier (Springer, 2014)

  In this paper we present a spatial gamut mapping algorithm that relies on a perceptually-based variational framework. Our method adapts a well-known image energy functional whose minimization leads to image enhancement ...
• Computational modeling of psycho-physiological arousal and social initiation of children with autism in interventions through full-body interaction

  Sayis, Batuhan; Crowell, Ciera; Benitez, Juan; Ramírez, Rafael,1966-; Parés, Narcís, 1966- (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  This study is part of a larger project that wants to foster social initiation behaviors in children with Autism Spectrum Disorder (ASD). We approach this through a full-body interactive Mixed Reality (MR) experience that ...
• Music recommendation diversity: a tentative framework and preliminary results

  Porcaro, Lorenzo; Castillo, Carlos; Gómez Gutiérrez, Emilia, 1975- (International Society for Music Information Retrieval (ISMIR), 2019)

  Music recommendations are increasingly part of the listening experience of people all over the world, especially in the context of streaming services. In this scenario, recommender systems’ role is to help users in ...
• Unsupervised-learning power control for cell-free wireless systems

  Nikbakht, Rasoul; Jonsson, Anders, 1973-; Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  This paper studies the viability of feedforward neural networks (NNs) for centralized power control in the uplink of cell-free wireless systems with matched-filter reception. The formulation relies only on large-scale ...
• Automatic music tagging with Harmonic CNN

  Won, Minz; Chun, Sangyuk; Nieto Caballero, Oriol; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2019)

  In this paper, we introduce the Harmonic Convolutional Neural Network (Harmonic CNN), a music representation model that exploits the inherent harmonic structure of audio signals. The proposed model outperforms previous ...
• A Rule-Based method to model myocardial fiber orientation for simulating ventricular outflow tract arrhythmias

  Doste, Rubén; Soto-Iglesias, David; Bernardino Perez, Gabriel; Sebastián Aguilar, Rafael, 1978-; Giffard-Roisin, Sophie; Cabrera-Lozoya, Rocío; Sermesant, Maxime; Berruezo Sánchez, Antonio; Sánchez-Quintana, Damián; Camara, Oscar (Springer, 2017)

  Myocardial fiber orientation determines the propagation of electrical waves in the heart and the contraction of cardiac tissue. One common approach for assigning fiber orientation to cardiac anatomi- cal models are ...

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