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Visualitzant Departament de Tecnologies de la Informació i les Comunicacions per títol

Visualitzant Departament de Tecnologies de la Informació i les Comunicacions per títol

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  • 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 source ...
  • Pons Puig, Jordi; Nieto Caballero, 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 ...
  • Bel, Albert; Adame, Toni; Bellalta, Boris (Elsevier, 2018)
    One of the main challenges when designing a new self-powered Low Power Wide Area Network (LPWAN) technology is the vast operational dependence on its scarce energy resources. Therefore, a thorough identification and ...
  • Colombaro, Ivano; Giusti, Andrea; Mentrelli, Andrea (Springer, 2023)
    We investigate the specific attenuation factor for the Bessel models of viscoelasticity. We find that the quality factor for this class can be expressed in terms of Kelvin functions and that its asymptotic behaviours confirm ...
  • Nadeu Camprubí, Climent; Mariño Acebal, José B.; Farrús, Mireia (2007)
    This paper describes a teaching experience. In spring 2006, a new optional course about engineering and responsibility was started at the Universitat Politècnica de Catalunya. Its methodology was mainly based on preparation ...
  • Aspandi, Decky; Sukno, Federico Mateo; Schuller, Björn; Binefa i Valls, Xavier (Scitepress, 2021)
    Affective Computing has recently attracted the attention of the research community, due to its numerous applications in diverse areas. In this context, the emergence of video-based data allows to enrich the widely used ...
  • Fang, Dong; Huang, Yu Chih; Geraci, Giovanni; Ding, Zhiguo; Claussen, Holger (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    The fifth-generation (5G) air interface, namely, dynamic multiple access (MA) based on multiuser superposition transmission (MUST) and orthogonal MA (OMA), may require a complicated scheduling and heavy signaling overhead. ...
  • Galdran, Adrian; Vazquez-Corral, Javier; Pardo, David; Bertalmío, Marcelo (SIAM (Society for Industrial and Applied Mathematics), 2015)
    Images obtained under adverse weather conditions, such as haze or fog, typically/nexhibit low contrast and faded colors, which may severely limit the visibility within the scene. Unveiling/nthe image structure under the ...
  • Ramírez Cifuentes, Diana; Largeron, Christine; Tissier, Julien; Baeza Yates, Ricardo; Freire, Ana (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Substance abuse and mental health issues are severe conditions that affect millions. Signs of certain conditions have been traced on social media through the analysis of posts. In this paper we analyze textual cues that ...
  • Ramíırez-Cifuentes, Diana; Largeron, Christine; Tissier, Julien; Freire, Ana; Baeza Yates, Ricardo (Springer, 2020)
    Anorexia Nervosa (AN) is a serious mental disorder that has been proved to be traceable on social media through the analysis of users’ written posts. Here we present an approach to generate word embeddings enhanced for ...
  • Beardsley, Marc; Martínez Moreno, Judit; Vujovic, Milica; Santos Rodríguez, Patrícia; Hernández Leo, Davinia (Wiley, 2020)
    Advances in the field of multimodal learning analytics (MMLA) research is often accomplished by actively exploring new technologies and techniques related to the collection and analysis of data. Exploration of ethical ...
  • 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 ...
  • Maestre Gómez, Esteban; Papiotis, Panagiotis, 1985-; Marchini, Marco, 1984-; Llimona Torras, Quim; Mayor, 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 ...
  • Ferraro, Andrés; Favory, Xavier; Drossos, Konstantinos; Kim, Yuntae; Bogdanov, Dmitry (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Modeling various aspects that make a music piece unique is a challenging task, requiring the combination of multiple sources of information. Deep learning is commonly used to obtain representations using various sources ...
  • Santos-Pata, Diogo; Amil, Adrián F.; Raikov, Ivan Georgiev; Rennó-Costa, César; Mura, Anna; Soltesz, Ivan; Verschure, Paul F. M. J. (Elsevier, 2021)
    The hippocampal formation displays a wide range of physiological responses to different spatial manipulations of the environment. However, very few attempts have been made to identify core computational principles underlying ...
  • Córdova Palomera, Aldo; Tornador Antolin, Cristian, 1979-; Falcón, Carles; Bargallo, Nuria; Brambilla, Paolo; Crespo-Facorro, Benedicto; Deco, Gustavo; Fañanás Saura, Lourdes (Nature Publishing Group, 2016)
    Hosting nearly eighty percent of all human neurons, the cerebellum is functionally connected to large regions of the brain. Accumulating data suggest that some cerebellar resting-state alterations may constitute a key ...
  • Roma Trepat, Gerard; Herrera Boyer, Perfecto, 1964-; Nogueira, Waldo (Springer, 2018)
    Recognition of environmental sound is usually based on two main architectures, depending on whether the model is trained with frame-level features or with aggregated descriptions of acoustic scenes or events. The former ...
  • Schmidt, Helmut; Hahn, Gerald; Deco, Gustavo; Knösche, Thomas R. (Public Library of Science (PLoS), 2021)
    Axonal connections are widely regarded as faithful transmitters of neuronal signals with fixed delays. The reasoning behind this is that extracellular potentials caused by spikes travelling along axons are too small to ...
  • George, Geordie; Mungara, Ratheesh K.; Lozano Solsona, Angel; Haenggi, Martin (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    This paper shows how the application of stochastic geometry to the analysis of wireless networks is greatly facilitated by: (i) a clear separation of time scales; (ii) the abstraction of small-scale effects via ergodicity; ...
  • Rello, Luz, 1984-; Ferraro, Gabriela; Burga Díaz, Alicia (Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2011)
    This paper presents an analysis of the errors of a machine learning method that allow us to propose changes to improve it in future developments. The evaluated system detects Spanish subject ellipsis and yields an accuracy ...

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