• Combining human computing and machine learning to make sense of big (aerial) data for disaster response

  Ofli, Ferda; Meier, Patrick; Imran, Muhammad; Castillo, Carlos; Tuia, Devis; Rey, Nicolas; Briant, Julien; Millet, Pauline; Reinhard, Friedrich; Parkan, Matthew; Joost, Stéphane (Mary Ann Liebert, Inc, 2016)

  Aerial imagery captured via unmanned aerial vehicles (UAVs) is playing an increasingly important role in disaster response. Unlike satellite imagery, aerial imagery can be captured and processed within hours rather than ...
• The role of learning on bilinguals’ lexical architecture: beyond separated vs. integrated lexicons

  Costa, Albert, 1970-; Pickering, Martin J. (Cambridge University Press, 2018)

  How are the two lexicons of a bilingual represented and how do they interact during language processing? These questions are central to bilingualism and have been the topics of a large number of studies. Dijkstra, Wahl, ...
• On the bilingualism effect in task switching

  Branzi, Francesca Martina; Calabria, Marco; Gade, Miriam; Fuentes, Luis J.; Costa, Albert, 1970- (Cambridge University Press, 2018)

  In one task-switching experiment, we compared bilinguals and monolinguals to explore the reliability of the bilingualism effect on the n-2 repetition cost. In a second taskswitching experiment, we tested another group of ...
• Optimal information transfer in the cortex through synchronization

  Buehlmann, Andres; Deco, Gustavo (Public Library of Science (PLoS), 2010)

  In recent experimental work it has been shown that neuronal interactions are modulated by neuronal synchronization and that this modulation depends on phase shifts in neuronal oscillations. This result suggests that ...
• Functional connectivity dynamics: modeling the switching behavior of the resting state

  Hansen, Enrique C.A.; Battaglia, Demian; Spiegler, Andreas; Deco, Gustavo; Jirsa, Viktor K. (Elsevier, 2015)

  Functional connectivity (FC) sheds light on the interactions between different brain regions. Besides basic research, it is clinically relevant for applications in Alzheimer's disease, schizophrenia, presurgical planning, ...
• Characterization of myocardial motion patterns by unsupervised multiple Kernel learning

  Sánchez Martínez, Sergio; Duchateau, Nicolas Guillem; Erdei, Tamas; Fraser, Alan G.; Bijnens, Bart; Piella Fenoy, Gemma (Elsevier, 2017)

  We propose an independent objective method to characterize different patterns of functional responses to stress in the heart failure with preserved ejection fraction (HFPEF) syndrome by combining multiple temporally-aligned ...
• Multimodal image registration using Laplacian commutators

  Zimmer, Veronika Anne; González Ballester, Miguel Ángel, 1973-; Piella Fenoy, Gemma (Elsevier, 2019)

  The fusion and combination of images from multiple modalities is important in many applications. Typically, this process consists of the alignment of the images and the combination of the complementary information. In ...
• Cortical folding alterations in fetuses with isolated non-severe ventriculomegaly

  Benkarim, Oualid M.; Hahner, Nadine; Piella Fenoy, Gemma; Gratacós Solsona, Eduard; González Ballester, Miguel Ángel, 1973-; Eixarch, Elisenda; Sanromà, Gerard (Elsevier, 2018)

  Neuroimaging of brain diseases plays a crucial role in understanding brain abnormalities and early diagnosis. Of great importance is the study of brain abnormalities in utero and the assessment of deviations in case of ...
• Beeping socks and chirping arm bands: wearables that foster free play

  Rosales, Andrea; Sayago, Sergio; Blat, Josep (Institute of Electrical and Electronics Engineers (IEEE), 2015)

  Three playful wearable accessories incorporate design principles that promote individuality, natural interaction, ubiquity, and intimacy to encourage spontaneous open-ended social interaction in school-age children. The ...
• Brain songs framework used for discovering the relevant timescale of the human brain

  Deco, Gustavo; Cruzat, Josephine; Kringelbach, Morten L. (Nature Research, 2019)

  A key unresolved problem in neuroscience is to determine the relevant timescale for understanding spatiotemporal dynamics across the whole brain. While resting state fMRI reveals networks at an ultraslow timescale (below ...
• OSWALDO: observación de la docencia entre iguales

  Moreno, Verónica; Hernández Leo, Davinia; Oliver, Miquel; Atienza, Encarna (CIDUI Congrés Internacional de Docència Universitària i Innovació, 2018)

  OSWALDO nace con el objetivo de promover, facilitar y acompañar en la práctica reflexiva de la mejora docente a través de un sistema de observación entre iguales. El proyecto dispone de recursos e instrumentos de apoyo ...
• La construcción de la identidad profesional en Ingenieria TIC: el impacto del programa formativo

  Moreno Oliver, Verónica; Hernández Leo, Davinia; Khosronejad, Maryam (CIDUI Congrés Internacional de Docència Universitària i Innovació, 2018)

  Este trabajo presenta los resultados de un estudio cualitativo comparado realizado con alumnado de Ingeniería de la Universitat Pompeu Fabra (UPF) Barcelona (primer curso y graduados) que tenía por objetivo conocer el ...
• Cutting up is hard to do: the parameterised complexity of k-Cut and related problems

  Downey, Rodney G. (Elsevier, 2003)

  The Graph k-Cut problem is that of finding a set of edges of minimum total weight, in an edge-weighted graph, such that their removal from the graph results in a graph having at least k connected components. An algorithm ...
• Branching and pruning: an optimal temporal POCL planner based on constraint programming

  Vidal, Vincent; Geffner, Héctor (Elsevier, 2006)

  A key feature of modern optimal planners such as graphplan and blackbox is their ability to prune large parts of the search space. Previous Partial Order Causal Link (POCL) planners provide an alternative branching scheme ...
• The Variational Garrote

  Kappen, Hilbert J.; Gómez, Vicenç (Springer, 2014)

  We analyze the variational method for sparse regression using ℓ 0 regularization. The variational approximation results in a model that is similar to Breiman’s Garrote model. We refer to this method as the Variational ...
• Forming social impressions from voices in native and foreign languages

  Baus, Cristina; McAleer, Phil; Marcoux, Katherine; Belin, Pascal; Costa, Albert, 1970- (Nature Research, 2019)

  We form very rapid personality impressions about speakers on hearing a single word. This implies that the acoustical properties of the voice (e.g., pitch) are very powerful cues when forming social impressions. Here, we ...
• Heuristics for planning with penalties and rewards formulated in logic and computed through circuits

  Bonet, Blai; Geffner, Héctor (Elsevier, 2008)

  The automatic derivation of heuristic functions for guiding the search for plans is a fundamental technique in planning. The type of heuristics that have been considered so far, however, deal only with simple planning ...
• A combinatorial characterization of resolution width

  Atserias, Albert; Dalmau, Víctor (Elsevier, 2008)

  We provide a characterization of the resolution width introduced in the context of propositional proof complexity in terms of the existential pebble game introduced in the context of finite model theory. The characterization ...
• Training parsers by inverse reinforcement learning

  Neu, Gergely; Szepesvári, Csaba (Springer, 2009)

  One major idea in structured prediction is to assume that the predictor computes its output by finding the maximum of a score function. The training of such a predictor can then be cast as the problem of finding weights ...
• Optimal control as a graphical model inference problem

  Kappen, Hilbert J.; Gómez, Vicenç; Opper, Manfred (Springer, 2012)

  We reformulate a class of non-linear stochastic optimal control problems introduced by Todorov (in Advances in Neural Information Processing Systems, vol. 19, pp. 1369-1376, 2007) as a Kullback-Leibler (KL) minimization ...

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