• Learning and combining image neighborhoods using random forests for neonatal brain disease classifcation

  Zimmer, Veronika Anne; Glocker, Ben; Hahner, Nadine; Eixarch, Elisenda; Sanromà, Gerard; Gratacós Solsona, Eduard; Rueckert, Daniel; González Ballester, Miguel Ángel, 1973-; Piella Fenoy, Gemma (Elsevier, 2017)

  It is challenging to characterize and classify normal and abnormal brain development during early childhood. To reduce the complexity of heterogeneous data population, manifold learning techniques are increasingly applied, ...
• A two dimensional electromechanical model of a cardiomyocyte to assess intra-cellular regional mechanical heterogeneities

  Garcia-Canadilla, Patricia; Rodriguez, Jose F.; Palazzi, Maria J.; Gonzalez-Tendero, Anna; Schönleitner, Patrick; Balicevic, Vedrana; Loncaric, Sven; Luiken, Joost J. F. P.; Ceresa, Mario; Camara, Oscar; Antoons, Gudrun; Crispi, Fatima; Gratacos, Eduard; Bijnens, Bart (Public Library of Science (PLoS), 2017)

  Experimental studies on isolated cardiomyocytes from different animal species and human hearts have demonstrated that there are regional differences in the Ca2+ release, Ca2+ decay and sarcomere deformation. Local deformation ...
• Cardiovascular benefits of moderate exercise training in Marfan syndrome: insights from an animal model

  Mas‐Stachurska, Aleksandra; Siegert, Anna‐Maria; Batlle, Monsterrat; Gorbenko del Blanco, Darya; Meirelles, Thayna; Rubies, Cira; Bonorino, Fabio; Serra‐Peinado, Carla; Bijnens, Bart; Baudin, Julio; Sitges, Marta; Mont, Lluís; Guasch, Eduard; Egea, Gustavo (Wiley, 2017)

  Marfan syndrome (MF) leads to aortic root dilatation and a predisposition to aortic dissection, mitral valve prolapse, and primary and secondary cardiomyopathy. Overall, regular physical exercise is recommended for a healthy ...
• Added value of cardiac deformation imaging in differential diagnosis of left ventricular hypertrophy

  Loncaric, Filip; Bijnens, Bart; Sitges, Marta (Bloomsbury Qatar Foundation Journals, 2018)

  Hypertrophic cardiomyopathy is clinically defined by the presence of increased left ventricular (LV) wall thickness that is not solely explained by abnormal loading conditions. The aetiology is diverse, but in 60% of ...
• MicroCT imaging reveals differential 3D micro-scale remodelling of the murine aorta in ageing and Marfan syndrome

  López-Guimet, Júlia; Peña-Pérez, Lucía; Bradley, Robert S.; García-Canadilla, Patricia; Disney, Catherine; Geng, Hua; Bodey, Andrew J.; Withers, Philip J.; Bijnens, Bart; Sherratt, Michael J.; Egea, Gustavo (UNLISTED PUBLISHER, 2018)

  Aortic wall remodelling is a key feature of both ageing and genetic connective tissue diseases, which are associated with vasculopathies such as Marfan syndrome (MFS). Although the aorta is a 3D structure, little attention ...
• Honesty speaks a second language

  Bereby‐Meyer, Yoella; Hayakawa, Sayuri; Shalvi, Shaul; Corey, Joanna D.; Costa, Albert, 1970-; Keysar, Boaz (Wiley, 2018)

  Theories of dishonest behavior implicitly assume language independence. Here, we investigated this assumption by comparing lying by people using a foreign language versus their native tongue. Participants rolled a die and ...
• Monte Carlo methods for the ferromagnetic potts model using factor graph duality

  Molkaraie, Mehdi; Gómez, Vicenç (Institute of Electrical and Electronics Engineers (IEEE), 2018)

  Normal factor graph duality offers new possibilities for Monte Carlo algorithms in graphical models. Specifically, we consider the problem of estimating the partition function of the ferromagnetic Ising and Potts models ...
• Twitter as a lifeline: human-annotated Twitter corpora for NLP of crisis-related messages

  Imran, Muhammad; Mitra, Prasenjit; Castillo, Carlos (LREC, 2016)

  Microblogging platforms such as Twitter provide active communication channels during mass convergence and emergency events such as earthquakes, typhoons. During the sudden onset of a crisis situation, affected people post ...
• 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 ...
• Predicting the success of online petitions leveraging multidimensional time-series

  Proskurnia, Julia; Grabowicz, Przemyslaw; Kobayashi, Ryota; Castillo, Carlos; Cudré-Mauroux, Philippe; Aberer, Karl (ACM Association for Computer Machinery, 2017)

  Applying classical time-series analysis techniques to online content is challenging, as web data tends to have data quality issues and is often incomplete, noisy, or poorly aligned. In this paper, we tackle the problem of ...
• FA*IR: a fair top-k ranking algorithm

  Zehlike, Meike; Bonchi, Francesco; Castillo, Carlos; Hajian, Sara; Megahed, Mohamed; Baeza-Yates, Ricardo (ACM Association for Computer Machinery, 2017)

  In this work, we define and solve the Fair Top-k Ranking problem, in which we want to determine a subset of k candidates from a large pool of n>>k candidates, maximizing utility (i.e., select the “best” candidates) subject ...
• Ranking of social media alerts with workload bounds in emergency operation centers

  Purohit, Hemant; Castillo, Carlos; Imran, Muhammad; Pandey, Rahul (Institute of Electrical and Electronics Engineers (IEEE), 2018)

  xtensive research on social media usage during emergencies has shown its value to provide life-saving information, if a mechanism is in place to filter and prioritize messages. Existing ranking systems can provide a ...
• 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, ...
• Facilitating the manual annotation of sounds when using large taxonomies

  Favory, Xavier; Fonseca, Eduardo; Font, Frederic; Serra, Xavier (FRUCT, 2018)

  Properly annotated multimedia content is crucial for supporting advances in many Information Retrieval applications. It enables, for instance, the development of automatic tools for the annotation of large and diverse ...
• General-purpose tagging of Freesound audio with audioSet labels: task description, dataset, and baseline

  Fonseca, Eduardo; Plakal, Manoj; Font, Frederic; Ellis, Daniel P. W.; Favory, Xavier; Pons, Jordi; Serra, Xavier (Tampere University of Technology, 2018)

  This paper describes Task 2 of the DCASE 2018 Challenge, titled “General-purpose audio tagging of Freesound content with AudioSet labels”. This task was hosted on the Kaggle platform as “Freesound General-Purpose Audio ...
• Overcoming catastrophic forgetting with hard attention to the task

  Serrà, Joan; Surís, Dídac; Miron, Marius; Karatzoglou, Alexandros (Proceedings of Machine Learning Research, 2018)

  Catastrophic forgetting occurs when a neural network loses the information learned in a previous task after training on subsequent tasks. This problem remains a hurdle for artificial intelligence systems with sequential ...
• Automatic assessment of violin performance using dynamic time warping classification

  Giraldo, Sergio; Ortega, Ariadna; Perez, Alfonso; Ramírez, Rafael; Waddell, George; Williamon, Aaron (Institute of Electrical and Electronics Engineers (IEEE), 2018)

  The automatic assessment of music performance has become an area of special interest due to the increasing amount of technology-enhanced music learning systems. However, in most of these systems the assessment of the musical ...

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