• 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 ...
• 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 ...
• Representation of foreseeable choice outcomes in orbitofrontal cortex triplet-wise interactions

  Balaguer-Ballester, Emili; Nogueira Mañas, Ramon; Abofalia, Juan M.; Moreno Bote, Rubén; Sanchez-Vives, Maria V. (Public Library of Science (PLoS), 2020)

  Shared neuronal variability has been shown to modulate cognitive processing. However, the relationship between shared variability and behavioral performance is heterogeneous and complex in frontal areas such as the ...
• UAV-assisted attack prevention, detection, and recovery of 5G networks

  Sabri Abdalla, Aly; Powell, Keith; Geraci, Giovanni; Marojevic, Vuk (Institute of Electrical and Electronics Engineers (IEEE), 2018)

  Unmanned aerial vehicles (UAVs) are emerging as enablers for supporting many applications and services, such as precision agriculture, search and rescue, temporary network deployment or coverage extension, and security. ...
• From the literary field to reality TV: the perils of downward celebrity migration

  Oliva Rota, Mercè (SAGE Publications, 2020)

  This article explores ‘downward celebrity migration’, that is, when a celebrity enters a field that is less legitimate than their field of origin. It does so by studying the case of Lucía Etxebarria, a Spanish literary ...
• Issues with common assumptions about the camera pipeline, and their impact in HDR imaging from multiple exposures

  Gil Rodríguez, Raquel; Vazquez-Corral, Javier; Bertalmío, Marcelo (SIAM (Society for Industrial and Applied Mathematics), 2019)

  Multiple-exposure approaches for high dynamic range (HDR) image generation share a set of building assumptions: that color channels are independent and that the camera response function (CRF) remains constant while changing ...
• Vision models fine-tuned by cinema professionals for High Dynamic Range imaging in movies

  Cyriac, Praveen; Canham, Trevor; Kane, David; Bertalmío, Marcelo (Springer, 2020)

  Many challenges that deal with processing of HDR material remain very much open for the film industry, whose extremely demanding quality standards are not met by existing automatic methods. Therefore, when dealing with HDR ...
• Language background shapes third-party communication expectations in 14-month-old infants

  Colomer, Marc; Sebastián-Gallés, Núria (Elsevier, 2020)

  Infants expect native and non-native speech to communicate, i.e. to transfer information between third-parties. Here, we explored if infants understand that communication depends on the use of shared conventional systems ...
• Non-human animals detect the rhythmic structure of a familiar tune

  Celma Miralles, Alexandre, 1991-; Toro Soto, Juan Manuel, 1976- (Springer, 2020)

  The musical motives of a song emerge from the temporal arrangement of discrete tones. These tones normally have few durational values, and are organized in structured groups to create metrical patterns. In the present study ...
• ESSENTIA: an open source library for audio analysis

  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, ...
• On anisotropic optical flow inpainting algorithms

  Raad, Lara; Oliver Parera, Maria; Ballester, Coloma; Haro Ortega, Gloria; Meinhardt Llopis, Enric (IPOL, 2020)

  This work describes two anisotropic optical flow inpainting algorithms. The first one recovers the missing flow values using the Absolutely Minimizing Lipschitz Extension partial differential equation (also called infinity ...
• Environmental sound recognition using short-time feature aggregation

  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 ...
• Mining arguments in scientific abstracts with discourse-level embeddings

  Accuosto, Pablo; Saggion, Horacio (Elsevier, 2020)

  Argument mining consists in the automatic identification of argumentative structures in texts. In this work we leverage existing discourse-level annotations to facilitate the identification of argumentative components and ...
• Pulsed radiofrequency for chronic pain: In vitro evidence of an electroporation mediated calcium uptake

  Mercadal, Borja; Vicente, Rubén; Ivorra Cano, Antoni, 1974- (Elsevier, 2020)

  Pulsed radiofrequency (PRF) treatments for chronic pain consist in the delivery of a train of sinusoidal electric bursts to the targeted nerve. Despite numerous clinical evidence of its efficiency, the mechanism of action ...
• Automatic related work section generation: experiments in scientific document abstracting

  AbuRa’ed, Ahmed; Saggion, Horacio; Shvets, Alexander; Bravo Serrano, Àlex, 1984- (Springer, 2020)

  Related work sections or literature reviews are an essential part of every scientific article being crucial for paper reviewing and assessment. However, writing a good related work section is an activity which requires ...
• Taking advantage of overhearing in low power listening WSNs: a performance analysis of the LWT-MAC protocol

  Cano Bastidas, Cristina; Bellalta, Boris; Sfairopoulou, Anna; Oliver Riera, Miquel; Barceló Vicens, Jaume (Springer, 2011)

  LWT-MAC is a new Low Power Listening MAC protocol for WSNs designed to rapidly react to instantaneous increases of the network load. It takes advantage of overhearing by waking up all nodes at the end of a transmission to ...
• A semi-dynamic, game based and interference aware channel assignment for multi-radio multi-channel wireless mesh networks

  Amiri Nezhad, Maryam; Cerdà Alabern, Llorenç; Bellalta, Boris; Guerrero Zapata, Manel (Inderscience Enterprises Ltd, 2013)

  Channel assignment (CA) has been extensively researched for multi-radio wireless mesh networks (WMNs), but it is still very challenging when it comes to its implementation. In this paper we propose a semi-dynamic and ...
• A distributed power sharing framework among households in microgrids: a repeated game approach

  AlSkaif, Tarek; Guerrero Zapata, Manel; AlSkaif, Tarek; Bellalta, Boris; Nilsson, Anders (Springer, 2016)

  In microgrids, the integration of distributed energy resources (DERs) in the residential sector can improve power reliability, and potentially reduce power demands and carbon emissions. Improving the utilization of renewable ...

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