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Visualitzant Articles (Departament de Tecnologies de la Informació i les Comunicacions) per títol

Visualitzant Articles (Departament de Tecnologies de la Informació i les Comunicacions) per títol

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  • 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 ...
  • 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 ...
  • 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 ...
  • Runnqvist, Elin; Strijkers, Kristof; Costa, Albert, 1970- (Public Library of Science (PLoS), 2019)
    We tested whether learning associated to lexical selection is error-based, and whether lexical selection is competitive by assessing the after-effects of producing words on subsequent production of semantic competitors ...
  • Bogdanov, Dmitry; Wack, Nicolas; Gómez Gutiérrez, Emilia, 1975-; Gulati, Sankalp; Herrera Boyer, Perfecto, 1964-; Mayor, Oscar; Roma Trepat, Gerard; Salamon, Justin; Zapata González, José Ricardo; Serra, Xavier (ACM Association for Computer Machinery, 2014)
    Over the last decade, audio analysis has become afield of active research in academic and engineeringworlds. It refers to the extraction of information andmeaning from audio signals for analysis, ...
  • García Rodríguez, Adrián; Geraci, Giovanni; López Pérez, David; Galati Giordano, Lorenzo; Ding, Ming; Björnson, Emil (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    What will it take for drones—and the whole associated ecosystem—to take off? Arguably, infallible command and control (C&C) channels for safe and autonomous flying, and high-throughput links for multi-purpose live video ...
  • Rubio Ballester, Belén; Antenucci, Fabrizio; Maier, Martina; Coolen, Anthony C. C.; Verschure, Paul F. M. J. (BioMed Central, 2021)
    Introduction: After a stroke, a wide range of deficits can occur with varying onset latencies. As a result, assessing impairment and recovery are enormous challenges in neurorehabilitation. Although several clinical scales ...
  • Gilson, Matthieu; Moreno Bote, Rubén; Ponce-Alvarez, Adrián; Ritter, Petra; Deco, Gustavo (Public Library of Science (PLoS), 2016)
    The brain exhibits complex spatio-temporal patterns of activity. This phenomenon is governed by an interplay between the internal neural dynamics of cortical areas and their connectivity. Uncovering this complex relationship ...
  • Bijnens, Bart; Cardenes, Rubén; Sebastián Aguilar, Rafael, 1978-; Soto-Iglesias, David; Andreu Martínez, David; Fernández-Armenta, Juan; Berruezo Sánchez, Antonio; Camara, Oscar (Springer, 2014)
    The electrical activation of the heart is a complex physiological process that is essential for the understanding of several cardiac dysfunctions, such as ventricular tachycardia (VT). Nowadays, electro-anatomical mappings ...
  • Cárdenes, Rubén; Sebastián Aguilar, Rafael, 1978-; Soto-Iglesias, David; Berruezo, Antonio; Camara, Oscar (Elsevier, 2015)
    The electrical activation of the heart is a complex physiological process that is essential for the understanding of several cardiac dysfunctions, such as ventricular tachycardia (VT). Nowadays, patient-specific activation ...
  • Balocco, Simone; Basset, Olivier; Courbebaisse, Guy; Boni, Enrico; Frangi Caregnato, Alejandro; Tortoli, Piero; Cachard, Christian (Institute of Physics (IOP), 2010)
    Human arteries affected by atherosclerosis are characterized by altered wall viscoelastic properties. The possibility of noninvasively assessing arterial viscoelasticity in vivo would significantly contribute to the early ...
  • Sancho, Teresa; Daza, Vanesa (Universitat de Barcelona, 2014)
    Existen distintas estrategias metodológicas para el seguimiento y evaluación de los/nparticipantes en un MOOC. En este artículo se elabora y justifica una propuesta/npara el MOOC de álgebra básica, “Descodificando álgebra”, ...

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