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Browsing Articles (Departament de Tecnologies de la Informació i les Comunicacions) by Title

Browsing Articles (Departament de Tecnologies de la Informació i les Comunicacions) by Title

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  • DAC-h3: a proactive robot cognitive architecture to acquire and express knowledge about the world and the self
    Moulin-Frier, Clément; Fischer, Tobias; Petit, Maxime; Pointeau, Grégoire; Puigbò Llobet, Jordi-Ysard; Pattacini, Ugo; Ching Low, Sock; Camilleri, Daniel; Nguyen, Phuong; Hoffmann, Matej; Jin Chang, Hyung; Zambelli, Martina; Mealier, Anne-Laure; Metta, Giorgio; Prescott, Tony J.; Demiris, Yiannis; Ford Dominey, Peter; Verschure, Paul F. M. J. (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    This paper introduces a cognitive architecture for a humanoid robot to engage in a proactive, mixed-initiative exploration and manipulation of its environment, where the initiative can originate from both human and robot. ...
  • Data mining of social networks represented as graphs
    Nettleton, David F. (Elsevier, 2013)
    In this survey we review the literature and concepts of the data mining of social networks, with special emphasis on their representation as a graph structure. The survey is divided into two principal parts: first we conduct ...
  • Data privacy for simply anonymized network logs represented as graphs-considerations for graph alteration operations
    Nettleton, David F.; Torra, Vicenç (World Scientific Publishing, 2011)
    In this paper we review the state of the art on graph privacy with special emphasis on applications to online social networks, and we consider some novel aspects which have not been greatly covered in the specialized ...
  • Data-driven deep-syntactic dependency parsing
    Ballesteros, Miguel; Bohnet, Bernd; Mille, Simon; Wanner, Leo (Cambridge University Press, 2016)
    ‘Deep-syntactic’ dependency structures that capture the argumentative, attributive and co-/nordinative relations between full words of a sentence have a great potential for a number/nof NLP-applications. The abstraction ...
  • Data-informed design parameters for adaptive collaborative scripting in across-spaces learning situations
    Amarasinghe, Ishari; Hernández Leo, Davinia; Jonsson, Anders, 1973- (Springer, 2019)
    This study presents how predictive analytics can be used to inform the formulation of adaptive collaborative learning groups in the context of Computer Supported Collaborative Learning considering across-spaces learning ...
  • Datalog and constraint satisfaction with infinite templates
    Bodirsky, Manuel; Dalmau, Víctor (Elsevier, 2013)
    On finite structures, there is a well-known connection between the expressive power of Datalog, finite variable logics, the existential pebble game, and bounded hypertree duality. We study this connection for infinite ...
  • Decoding brain states on the intrinsic manifold of human brain dynamics across wakefulness and sleep
    Rué-Queralt, Joan; Stevner, Angus; Tagliazucchi, Enzo; Laufs, Helmut; Kringelbach, Morten L.; Deco, Gustavo; Atasoy, Selen (Nature Research, 2021)
    Current state-of-the-art functional magnetic resonance imaging (fMRI) offers remarkable imaging quality and resolution, yet, the intrinsic dimensionality of brain dynamics in different states (wakefulness, light and deep ...
  • Deconstructing multi-sensory enhancement in detection
    Pannunzi, Mario; Pérez-Bellido, Alexis; Pereda-Baños, Alexandre; López-Moliner, Joan; Deco, Gustavo; Soto-Faraco, Salvador, 1970- (American Physiological Society, 2015)
    The mechanisms responsible for the integration of sensory information from different modalities have become a topic of intense interest in psychophysics and neuroscience. Many authors now claim that early, sensory-based ...
  • Deconstructing orchestration load: comparing teacher support through mirroring and guiding
    Amarasinghe, Ishari; Hernández Leo, Davinia; Hoppe, H. Ulrich (Springer, 2021)
    Under the notion of “CSCL scripts”, different pedagogical models for structuring and supporting collaboration in the classroom have been proposed. We report on a practical experience with scripts based on the Pyramid ...
  • Deep imagination is a close to optimal policy for planning in large decision trees under limited resources
    Mastrogiuseppe, Chiara; Moreno Bote, Rubén (Nature Research, 2022)
    Many decisions involve choosing an uncertain course of action in deep and wide decision trees, as when we plan to visit an exotic country for vacation. In these cases, exhaustive search for the best sequence of actions is ...
  • Deep learning framework for real-time estimation of in-silico thrombotic risk indices in the left atrial appendage
    Morales Ferez, Xabier; Mill, Jordi; Juhl, Kristine Aavild; Acebes Pinilla, César; Iriart, Xavier; Legghe, Benoit; Cochet, Hubert; De Backer, Ole; Paulsen, Rasmus R.; Camara, Oscar (Frontiers, 2021)
    Patient-specific computational fluid dynamics (CFD) simulations can provide invaluable insight into the interaction of left atrial appendage (LAA) morphology, hemodynamics, and the formation of thrombi in atrial fibrillation ...
  • Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved?
    Bernard, Olivier; Lalande, Alain; Zotti, Clement; Cervenansky, Frederick; Yang, Xin; Heng, Pheng-Ann; Cetin, Irem; Lekadir, Karim, 1977-; Camara, Oscar; González Ballester, Miguel Ángel, 1973-; Sanromà, Gerard; Napel, Sandy; Petersen, Steffen; Tziritas, Georgios; Grinias, Elias; Khened, Mahendra; Kollerathu, Varghese Alex; Krishnamurthi, Ganapathy; Rohé, Marc-Michel; Pennec, Xavier; Sermesant, Maxime; Isensee, Fabian; Jäger, Paul; Maier-Hein, Klaus H.; Full, Peter M.; Wolf, Ivo; Engelhardt, Sandy; Baumgartner, Christian F.; Koch, Lisa M.; Wolterink, Jelmer M.; Išgum, Ivana; Jang, Yeonggul; Hong, Yoonmi; Patravali, Jay; Jain, Shubham; Humbert, Olivier; Jodoin, Pierre-Marc (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Delineation of the left ventricular cavity, myocardium, and right ventricle from cardiac magnetic resonance images (multi-slice 2-D cine MRI) is a common clinical task to establish diagnosis. The automation of the corresponding ...
  • Deep reinforcement learning in medicine
    Jonsson, Anders, 1973- (Karger (S. Karger AG), 2019)
    Reinforcement learning has achieved tremendous success in recent years, notably in complex games such as Atari, Go, and chess. In large part, this success has been made possible by powerful function approximation methods ...
  • Delineation of the electrocardiogram with a mixed-quality-annotations dataset using convolutional neural networks
    Jimenez-Perez, Guillermo; Alcaine, Alejandro; Camara, Oscar (Nature Research, 2021)
    Detection and delineation are key steps for retrieving and structuring information of the electrocardiogram (ECG), being thus crucial for numerous tasks in clinical practice. Digital signal processing (DSP) algorithms are ...
  • Demonstration of 2 mm thick microcontrolled injectable stimulators based on rectification of high frequency current bursts
    Becerra Fajardo, Laura; Schmidbauer, Marieluise; Ivorra Cano, Antoni, 1974- (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Existing implantable stimulators use powering approaches that result in stiff and bulky systems or result in systems incapable of producing the current magnitudes required for neuromuscular stimulation. This hampers their ...
  • Denoising an image by denoising its curvature image
    Bertalmío, Marcelo; Levine, Stacey (SIAM (Society for Industrial and Applied Mathematics), 2014)
    In this article we argue that when an image is corrupted by additive noise, its curvature image is less affected by it, i.e. the PSNR of the curvature image is larger. We speculate that, given a denoising method, we may ...
  • Dependence of electroporation detection threshold on cell radius: an explanation to observations non compatible with Schwan’s equation model
    Mercadal, Borja; Vernier, P. Thomas; Ivorra Cano, Antoni, 1974- (Springer, 2016)
    It is widely accepted that electroporation occurs when the cell transmembrane voltage induced by an external applied electric field reaches a threshold. Under this assumption, in order to trigger electroporation in a ...
  • Deployment of self-expandable stents in aneurysmatic cerebral vessels: comparison of different computational approaches for interventional planning
    Bernardini, A.; Larrabide, Ignacio, 1978-; Petrini, L.; Pennati, G.; Flore, Eleonora; Kim, Minsuok; Frangi Caregnato, Alejandro (Taylor & Francis (Routledge), 2011)
    In the last few years, there has been a growing focus on faster computational methods to support clinicians in planning stenting procedures. This study investigates the possibility of introducing computational approximations ...
  • Derivation of the symmetric stress-energymomentum tensor in exterior algebra
    Colombaro, Ivano; Font Segura, Josep; Martinez, Alfonso (IOP Publishing Ltd., 2021)
    We present a derivation of a manifestly symmetric form of the stress-energy-momentum using the mathematical tools of exterior algebra and exterior calculus, bypassing the standard symmetrizations of the canonical tensor. ...
  • Derivatives and inverse of cascaded linear + nonlinear neural models
    Martínez García, Marina; Cyriac, Praveen; Batard, Thomas; Bertalmío, Marcelo; Malo, Jesús (Public Library of Science (PLoS), 2018)
    In vision science, cascades of Linear+Nonlinear transforms are very successful in modeling a number of perceptual experiences. However, the conventional literature is usually too focused on only describing the forward ...

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