• Interdisciplinary doctoral training in technology-enhanced learning in Europe

  Pammer Schindler, Viktoria; Wild, Fridolin; Fominykh, Mikhail; Ley, Tobias; Perifanou, Maria; Soule, Maria Victoria; Hernández Leo, Davinia; Kalz, Marco; Klamma, Ralf; Pedro, Luís (Frontiers, 2020)
• SANS: self-Sovereign authentication for network slices

  Salleras Soler, Xavier; Daza, Vanesa (Hindawi, 2020)

  5G communications proposed significant improvements over 4G in terms of efficiency and security. Among these novelties, the 5G network slicing seems to have a prominent role: deploy multiple virtual network slices, each ...
• Hierarchical multi-scale set-class analysis

  Martorell Domínguez, Agustín; Gómez Gutiérrez, Emilia, 1975- (Taylor & Francis, 2015)

  This work presents a systematic methodology for set-class surface analysis using temporal multi-scale techniques. The method extracts the set-class content of all the possible temporal segments, addressing the representational ...
• Mapping between dynamic markings and performed loudness: a machine learning approach

  Kosta, Katerina; Ramírez, Rafael,1966-; Bandtlow, Oscar F.; Chew, Elaine (Taylor & Francis, 2016)

  Loudness variation is one of the foremost tools for expressivity in music performance. Loudness is frequently notated as dynamic markings such as p (piano, meaning soft) or f (forte, meaning loud). While dynamic markings ...
• Brain states and transitions: insights from computational neuroscience

  Kringelbach, Morten L.; Deco, Gustavo (Elsevier, 2020)

  Within the field of computational neuroscience there are great expectations of finding new ways to rebalance the complex dynamic system of the human brain through controlled pharmacological or electromagnetic perturbation. ...
• Measuring the impacts of extra-musical elements in guitar music playing: a pilot study

  Héroux, Isabelle; Giraldo, Sergio; Ramírez, Rafael,1966-; Dubé, Francis; Creech, Andrea; Thouin-Poppe, Louis-Édouard (Frontiers, 2020)

  Philosophers, composers, and musicians have long argued whether instrumental music finds meaning in its formal structure and musical content (Hanslick, 1986) or through reference to extra-musical elements, like narratives, ...
• Interleaved intramuscular stimulation with minimally overlapping electrodes evokes smooth and fatigue resistant forces

  Eladly, Ahmed; Del Valle, Jaume; Minguillon, Jesus; Mercadal, Borja; Becerra Fajardo, Laura; Navarro, Xavier; Ivorra Cano, Antoni, 1974- (IOP Publishing Ltd., 2020)

  Objective. It is known that multi-site interleaved stimulation generates less muscle fatigue compared to single-site synchronous stimulation. However, in the limited number of studies in which intramuscular electrodes were ...
• Collaboration variability in autism spectrum disorder

  Blancas, Maria; Maffei, Giovanni; Sánchez Fibla, Martí; Vouloutsi, Vasiliki; Verschure, Paul F. M. J. (Frontiers, 2020)

  This paper addresses how impairments in prediction in young adults with autism spectrum disorder (ASD) relate to their behavior during collaboration. To assess it, we developed a task where participants play in collaboration ...
• Injectable sensors based on passive rectification of volume-conducted currents

  Malik, Shahid; Castellví Fernández, Quim; Becerra Fajardo, Laura; Tudela Pi, Marc; García Moreno, Aracelys; Shojaei Baghini, Maryam; Ivorra Cano, Antoni, 1974- (Institute of Electrical and Electronics Engineers (IEEE), 2020)

  Sensing implants that can be deployed by catheterization or by injection are preferable over implants requiring invasive surgery. However, present powering methods for active implants and present interrogation methods for ...
• Heuristics and optimal solutions to the breadth-depth dilemma

  Moreno Bote, Rubén; Ramírez Ruiz, Jorge; Drugowitsch, Jan; Hayden, Benjamin Y. (National Academy of Sciences, 2020)

  In multialternative risky choice, we are often faced with the opportunity to allocate our limited information-gathering capacity between several options before receiving feedback. In such cases, we face a natural trade-off ...
• Retinal noise emulation: a novel artistic tool for cinema that also improves compression efficiency

  Zabaleta, Itziar; Cámara, Mateo; Díaz, César; Canham, Trevor; García, Narciso; Bertalmío, Marcelo (Institute of Electrical and Electronics Engineers (IEEE), 2020)

  In cinema it is standard practice to improve the appearance of images by adding noise that simulates film grain. This is computationally very costly, so it is only done in post-production and not on the set. It is also ...
• Round or rectangular tables for collaborative problem solving? A multimodal learning analytics study

  Vujovic, Milica; Hernández Leo, Davinia; Tassani, Simone; Spikol, Daniel (Wiley, 2020)

  The current knowledge of the effects of the physical environment on learners’ behaviour in collaborative problem‐solving tasks is underexplored. This paper aims to critically examine the potential of multimodal learning ...
• Identification protocols and signature schemes based on supersingular isogeny problems

  Galbraith, Steven D.; Petit, Christophe; Silva, Javier (Springer, 2020)

  We present signature schemes whose security relies on computational assumptions relating to isogeny graphs of supersingular elliptic curves. We give two schemes, both of them based on interactive identification protocols. ...
• 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 ...
• 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 ...
• 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 ...
• 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 ...

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