• Joint TV-L1 optical flow and occlusion estimation

  Garamendi, Juan Francisco; Lazcano, Vanel; Ballester, Coloma (IPOL, 2019)

  This document describes an implementation of the energy functional minimization proposed by Ballester, Garrido, Lazcano and Caselles for joint optical flow and occlusion estimation. The method build up from the ideas behind ...
• Feed-forward information and zero-lag synchronization in the sensory thalamocortical circuit are modulated during stimulus perception

  Tauste Campo, Adrià; Vázquez, Yuriria; Álvarez, Manuel; Zainos, Antonio; Rossi-Pool, Román; Deco, Gustavo; Romo, Ranulfo (National Academy of Sciences, 2019)

  The direction of functional information flow in the sensory thalamocortical circuit may play a role in stimulus perception, but, surprisingly, this process is poorly understood. We addressed this problem by evaluating a ...
• Color illusions also deceive CNNs for low-level vision tasks: analysis and implications

  Gómez Villa, Alexander; Martín, Adrian; Vazquez-Corral, Javier; Bertalmío, Marcelo; Malo, Jesús (Elsevier, 2020)

  The study of visual illusions has proven to be a very useful approach in vision science. In this work we start by showing that, while convolutional neural networks (CNNs) trained for low-level visual tasks in natural ...
• Coding for two-user energy harvesting interference channel

  Dabirnia, Mehdi; Duman, Tolga M. (Institute of Electrical and Electronics Engineers (IEEE), 2020)

  A two-user interference channel with energy harvesting transmitters, each equipped with a finite battery, is considered. Achievable rate regions (ARRs) considering independent and identically distributed Shannon strategies ...
• Mixed reality, full-body interactive experience to encourage cocial initiation for autism: comparison with a control nondigital intervention

  Crowell, Ciera; Sayis, Batuhan; Benitez, Juan Pablo; Parés, Narcís, 1966- (Mary Ann Liebert, Inc, 2020)

  Despite a proliferation in digital intervention tools for autism, many studies lack comparison with standard intervention tools, and are not evaluated with objective and standardized measures. In this article, we present ...
• Structuring collaboration: Multi-user full-body interaction environments for children with Autism Spectrum Disorder

  Crowell, Ciera; Mora-Guiard, Joan; Parés, Narcís, 1966- (Elsevier, 2019)

  Background Collaboration is an interpersonal process which builds upon social skills and mutual understanding. Due to characteristic social challenges, children with Autism Spectrum Disorders may benefit from structured ...
• Computing hierarchical finite state controllers with classical planning

  Segovia-Aguas, Javier; Jiménez, Sergio; Jonsson, Anders, 1973- (AI Access Foundation, 2018)

  Finite State Controllers (FSCs) are an effective way to compactly represent sequential plans. By imposing appropriate conditions on transitions, FSCs can also represent generalized plans (plans that solve a range of planning ...
• Seizure cycles in focal epilepsy

  Leguia, Marc G.; Andrzejak, Ralph Gregor; Rummel, Christian; Fan, Joline M.; Mirro, Emily A.; Tcheng, Thomas K.; Rao, Vikram R.; Baud, Maxime O. (American Medical Association, 2021)

  IMPORTANCE Focal epilepsy is characterized by the cyclical recurrence of seizures, but, to our knowledge, the prevalence and patterns of seizure cycles are unknown. OBJECTIVE To establish the prevalence, strength, and ...
• A reevaluation of Whittle (1986, 1992) reveals the link between detection thresholds, discrimination thresholds, and brightness perception

  Kane, David; Bertalmío, Marcelo (Association for Research in Vision and Ophthalmology (ARVO), 2019)

  In 1986, Paul Whittle investigated the ability to discriminate between the luminance of two small patches viewed upon a uniform background. In 1992, Paul Whittle asked subjects to manipulate the luminance of a number of ...
• Mitigating the impact of the novel coronavirus pandemic on neuroscience and music research protocols in clinical populations

  Papatzikis, Efthymios; Zeba, Fathima; Särkämö, Teppo; Ramírez, Rafael,1966-; Grau-Sánchez, Jennifer; Tervaniemi, Mari; Loewy, Joanne (Frontiers, 2020)

  The COVID-19 disease and the systemic responses to it has impacted lives, routines and procedures at an unprecedented level. While medical care and emergency response present immediate needs, the implications of this ...
• Applying deep learning techniques to estimate patterns of musical gesture

  Dalmazzo, David; Waddell, George; Ramírez, Rafael,1966- (Frontiers, 2021)

  Repetitive practice is one of the most important factors in improving the performance of motor skills. This paper focuses on the analysis and classification of forearm gestures in the context of violin playing. We recorded ...
• Re-Identification and growth detection of pulmonary nodules without image registration using 3D siamese neural networks

  Rafael Palou, Xavier; Aubanell, Anton; Bonavita, Ilaria; Ceresa, Mario; Piella Fenoy, Gemma; Ribas, Vicent; González Ballester, Miguel Ángel, 1973- (Elsevier, 2020)

  Lung cancer follow-up is a complex, error prone, and time consuming task for clinical radiologists. Several lung CT scan images taken at different time points of a given patient need to be individually inspected, looking ...
• Knowledge is out there: a new step in the evolution of music digital libraries

  Oramas, Sergio; Sordo, Mohamed (A-R Editions, 2016)

  Musicological knowledge is spread between the lines of thousands of texts stored in hundreds of music libraries. Technology, and more recently semantic technologies, may play a key role in the way information is retrieved. ...
• Detection of disaster-affected cultural heritage sites from social media images using deep learning techniques

  Kumar, Pakhee; Ofli, Ferda; Imran, Muhammad; Castillo, Carlos (ACM Association for Computer Machinery, 2020)

  This article describes a method for early detection of disaster-related damage to cultural heritage. It is based on data from social media, a timely and large-scale data source that is nevertheless quite noisy. First, we ...
• Machine learning and music generation

  Iñesta, José M.; Conklin, Darrell; Ramírez, Rafael,1966- (Taylor & Francis, 2016)
• Hierarchical clustering using mutual information

  Kraskov, Alexander; Stögbauer, Harald; Andrzejak, Ralph Gregor; Grassberger, Peter (IOP Publishing Ltd., 2005)

  We present a conceptually simple method for hierarchical clustering of data called mutual information clustering (MIC) algorithm. It uses mutual information (MI) as a similarity measure and exploits its grouping property: ...
• Measures of spike train synchrony for data with multiple time scales

  Malvestio, Irene; Satuvuori, Eero; Mulansky, Mario; Bozanic, Nebojsa; Malvestio, Irene; Zeldenrust, Fleur; Lenk, Kerstin; Kreuz, Thomas (Elsevier, 2017)

  Background Measures of spike train synchrony are widely used in both experimental and computational neuroscience. Time-scale independent and parameter-free measures, such as the ISI-distance, the SPIKE-distance and ...
• Acoustic and prosodic information for home monitoring of bipolar disorder

  Farrús, Mireia; Codina Filbà, Joan; Escudero, Joan (SAGE Publications, 2021)

  Epidemiological studies suggest that bipolar disorder has a prevalence of about 1% in European countries, becoming one of the most disabling illnesses in working age adults, and often long-term and persistent with complex ...
• Aphasia and acquired reading impairments: What are the high‐tech alternatives to compensate for reading deficits?

  Cistola, Giorgia; Farrús, Mireia; van der Meulen, Ineke (Wiley, 2020)

  Background People with aphasia (PWA) frequently present impairments in reading comprehension. Such impairments can be particularly debilitating due to the limitations and constraints they impose on everyday life. Recent ...
• “Cascades, torrents & drowning” in information: seeking help in the contemporary general practitioner practice in the UK

  Holley, Debbie; Santos Rodríguez, Patrícia; Cook, John; Kerr, Micky P. (Taylor & Francis, 2016)

  This paper responds to the Alpine Rendez-Vous “crisis” in technology-enhanced learning. It takes a contested area of policy as well as a rapid change in the National Health Service, and documents the responses to “information ...

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