• Cross-dataset music emotion recognition: an end-to-end approach

  Pandrea, Ana Gabriela; Gómez Cañón, Juan Sebastián; Herrera Boyer, Perfecto, 1964- (2020)

  The topic of Music Emotion Recognition (MER) evolved as music is a fascinating expression of emotions, yet it faces challenges given its subjectivity. Because each language has its particularities in terms of sound and ...
• Joyful for you and tender for us: the influence of individual characteristics and language on emotion labeling and classification

  Gómez Cañón, Juan Sebastián; Cano, Estefanía; Herrera Boyer, Perfecto, 1964-; Gómez Gutiérrez, Emilia, 1975- (2020)

  Tagging a musical excerpt with an emotion label may result in a vague and ambivalent exercise. This subjectivity entangles several high-level music description tasks when the computational models built to address them ...
• Active bilingualism delays the onset of mild cognitive impairment

  Calabria, Marco; Hernández Pardo, Mireia; Cattaneo, Gabriele, 1984-; Serras Robert, Mariona; Juncadella, Montserrat; Reñé, Ramón; Sala, Isabel; Lleó, Alberto; Ortiz-Gil, Jordi; Ugas, Lidia; Ávila, Asunción; Gómez Ruiz, Isabel; Ávila, César; Costa, Albert, 1970- (Elsevier, 2020)

  Lifelong bilingualism may contribute to cognitive reserve (CR) in neurodegenerative diseases as shown by a delay of the age at symptom onset in bilinguals with Alzheimer’s disease (AD) and Mild Cognitive Impairment (MCI). ...
• Detection of suicidal ideation on social media: multimodal, relational, and behavioral analysis

  Ramírez Cifuentes, Diana; Freire, Ana; Baeza Yates, Ricardo; Puntí, Joaquim; Medina Bravo, Pilar, 1966-; Alejandro Velazquez, Diego; Gonfaus, Josep Maria; Gonzàlez, Jordi (JMIR Publications, 2020)

  Background: Suicide risk assessment usually involves an interaction between doctors and patients. However, a significant number of people with mental disorders receive no treatment for their condition due to the limited ...
• Performance analysis of a multiuser multi-packet transmission system for WLANs in non-saturation conditions

  Bellalta, Boris; Faridi, Azadeh; Barceló Vicens, Jaume; Daza, Vanesa; Oliver Riera, Miquel (Elsevier, 2014)

  Multiuser Multi-Packet Transmission (MPT) from an Access Point (AP) equipped with multiple antennas to multiple single-antenna nodes can be achieved by exploiting the spatial dimension of the channel. In this paper we ...
• Flaws in some self-healing key distribution schemes with revocation

  Daza, Vanesa; Herranz, Javier; Sáez, Germán (Elsevier, 2009)

  Dutta and Mukhopadhyay have recently proposed some very efficient self-healing key distribution schemes with revocation. The parameters of these schemes contradict some results (lower bounds) presented by Blundo et al. In ...
• Designing fully secure protocols for secure two-party computation of constant-domain functions

  Daza, Vanesa; Makriyannis, Nikolaos (Springer, 2017)

  In a sense, a two-party protocol achieves fairness if the output from the computation is obtained simultaneously by both parties. A seminal result by Cleve (STOC 1986) states that fairness is impossible, in general. ...
• Trustworthy privacy-preserving car-generated announcements in vehicular ad hoc networks

  Daza, Vanesa; Domingo-Ferrer, Josep; Sebe, Francesc; Viejo, Alexandre (Institute of Electrical and Electronics Engineers (IEEE), 2008)

  Vehicular ad hoc networks (VANETs) allow vehicle-to-vehicle communication and, in particular, vehicle-generated announcements. Provided that the trustworthiness of such announcements can be guaranteed, they can greatly ...
• The persistent influence of viewing environment illumination color on displayed image appearance

  Canham, Trevor; Bertalmío, Marcelo (2020)

  Chromatic adaptation considering competing influences from emissive displays and ambient illumination is a little studied topic in the context of color management in proportion to its influence on displayed image appearance. ...
• Non-experts or experts? Statistical analyses of MOS using DSIS method

  Sugito, Yasuko; Bertalmío, Marcelo (Institute of Electrical and Electronics Engineers (IEEE), 2020)

  In image quality assessments, the results of subjective evaluation experiments that use the double-stimulus impairment scale (DSIS) method are often expressed in terms of the mean opinion score (MOS), which is the average ...
• Practical use suggests a re-evaluation of HDR objective quality metrics

  Sugito, Yasuko; Bertalmío, Marcelo (Institute of Electrical and Electronics Engineers (IEEE), 2019)

  Full-reference objective quality metrics for high dynamic range (HDR) images must be validated in terms of their consistency with subjective evaluation results, and previous studies have found a number of metrics that ...
• In-camera, photorealistic style transfer for on-set automatic grading

  Zabaleta, Itziar; Bertalmío, Marcelo (Society of Motion Picture and Television Engineers (SMPTE), 2018)

  In professional cinema, the intended artistic look of the movie informs the creation of a static 3D LUT that is applied on set, where further manual modifications to the image appearance are registered as 10-parameter ...
• Color stabilization for multi-camera light-field imaging

  Vu-Thanh, Olivier; Canham, Trevor; Vazquez-Corral, Javier; Gil Rodríguez, Raquel; Bertalmío, Marcelo (Institute of Electrical and Electronics Engineers (IEEE), 2020)

  By capturing a more complete rendition of scene light than standard 2D cameras, light-field technology represents an important step towards closing the gap between live action cinematography and computer graphics. Light-field ...
• CoLLIDE: cloud latency-based identification

  Daza, Vanesa; Di Pietro, Roberto; Lombardi, Flavio; Signorini, Matteo (Elsevier, 2017)

  As services steadily migrate to the Cloud, the availability of an overarching identity framework has become a stringent need. Moreover, such an identity framework is now critical in the Internet of Things. To address this ...
• Learning to learn: university student perceptions of a science of learning intervention

  Beardsley, Marc; Martínez Moreno, Judit; Hernández Leo, Davinia (2020)

  Many students use ineffective learning strategies and lack confidence in their learning skills and knowledge. This paper presents the results of a pre- and post-survey study involving first-year university students that ...
• Comparing pre-service and in-service teacher perceptions of the science of learning

  Beardsley, Marc; Martínez Moreno, Judit; Hernández Leo, Davinia (2020)

  This paper presents the results of a survey on teacher formation and beliefs related to the science of learning (e.g. the science of how people learn) completed by in-service and pre-service teachers. The study results ...
• A survey on machine and statistical learning for longitudinal analysis of neuroimaging data in alzheimer's disease

  Martí Juan, Gerard; Sanromà, Gerard; Piella Fenoy, Gemma (Elsevier, 2020)

  Background and Objectives: Recently, longitudinal studies of Alzheimer’s disease have gathered a substantial amount of neuroimaging data. New methods are needed to successfully leverage and distill meaningful information ...
• Modeling the formation of social conventions from embodied real-time interactions

  Freire, Ismael T.; Moulin-Frier, Clement; Sánchez Fibla, Martí; Arsiwalla, Xerxes D.; Verschure, Paul F. M. J. (Public Library of Science (PLoS), 2020)

  What is the role of real-time control and learning in the formation of social conventions? To answer this question, we propose a computational model that matches human behavioral data in a social decision-making game that ...
• Refining the resolution of craniofacial dysmorphology in bipolar disorder as an index of brain dysmorphogenesis

  Katina, Stanislav; Kelly, Brendan D.; Rojas, Mario A.; Sukno, Federico Mateo; McDermott, Aoibhinn; Hennessy, Robin J.; Lane, Abbie; Whelan, Paul F.; Bowman, Adrian W.; Waddington, John L. (Elsevier, 2020)

  As understanding of the genetics of bipolar disorder increases, controversy endures regarding whether the origins of this illness include early maldevelopment. Clarification would be facilitated by a ‘hard’ biological index ...
• Deep embeddings with Essentia models

  Alonso-Jiménez, Pablo; Bogdanov, Dmitry; Serra, Xavier (2020)

  We present the integration of various CNN TensorFlow models developed for different MIR tasks into Essentia. This is a continuation of our previous work [1], extending the list of supported models and adding new algorithms ...

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