• Joint Proceedings of the Sixth Multimodal Learning Analytics (MMLA) Workshop and the Second Cross-LAK Workshop

  Prieto, Luis P.; Martínez-Maldonado, Roberto; Spikol, Daniel; Hernández Leo, Davinia; Rodríguez-Triana, María Jesús; Ochoa, Xavier (CEUR Workshop Proceedings, 2017)

  Learning is a complex, mostly invisible process that happens across spaces, occurring in the physical world but also increasingly in virtual worlds or web-based spaces. In order to explore what happens in such blended ...
• Avoiding nerve stimulation in irreversible electroporation: a numerical modeling study

  Mercadal Cavaller, Borja; Arena, Christopher B.; Davalos, Rafael V.; Ivorra Cano, Antoni, 1974- (Institute of Physics (IOP), 2017)

  Electroporation based treatments consist in applying one or multiple high voltage pulses to the tissues to be treated. As an undesired side effect, these pulses cause electrical stimulation of excitable tissues such as ...
• Shortfall-based optimal placement of security resources for mobile IoT scenarios

  Rullo, Antonino; Serra, Edoardo; Bertino, Elisa; Lobo, Jorge (Springer, 2017)

  We present a method for computing the best provisioning of security resources for Internet of Things (IoT) scenarios characterized by a high degree of mobility. The security infrastructure is specifed by a security ...
• Topic detection using the DBSCAN-Martingale and the time operator

  Gialampoukidis, Ilias; Vrochidis, Stefanos; Kompatsiaris, Ioannis; Antoniou, Ioannis (2017)

  Topic detection is usually considered as a decision process implemented in some relevant context, for example clustering. In this case, clusters correspond to topics that should be identifed. Density-based clustering, ...
• Towards reasoned modality selection in an embodied conversation agent

  Ten-Ventura, Carla; Carlini, Roberto; Dasioupoulou, Stamatia; LLorach Tó, Gerard; Wanner, Leo (Springer, 2017)

  We present work in progress on (verbal, facial, and gestural) modality selection in an embodied multilingual and multicultural conversation agent. In contrast to most of the recent proposals, which consider non-verbal ...
• Multimedia retrieval based on non-linear graph-based fusion and partial least squares regression

  Gialampoukidis, Ilias; Moumtzidou, Anastasia; Liparas, Dimitris; Tsikrika, Theodora; Vrochidis, Stefanos; Kompatsiaris, Ioannis (Springer, 2017)

  Heterogeneous sources of information, such as images, videos, text and metadata are often used to describe di erent or complementary views of the same multimedia object, especially in the online news domain and in ...
• Multiple ARQ processes for MIMO systems

  Zheng, Haitao; Lozano Solsona, Angel; Haleem, Mohamed (Hindawi, 2004)

  We propose a new automatic repeat request (ARQ) scheme for MIMO systems with multiple transmit and receive antennas. The substreams emitted from various transmit antennas encounter distinct propagation channels and thus ...
• Towards multiple antecedent coreference resolution in specialized discourse

  Burga Díaz, Alicia; Cajal, Sergio; Codina-Filbà, Joan; Wanner, Leo (LREC, 2016)

  Despite the popularity of coreference resolution as a research topic, the overwhelming majority of the work in this area focused so far on single antecedence coreference only. Multiple antecedent coreference (MAC) has been ...
• A Semi-supervised approach for gender identification

  Soler Company, Juan; Wanner, Leo (LREC, 2016)

  In most of the research studies on Author Profiling, large quantities of correctly labeled data are used to train the models. However, this does not reflect the reality in forensic scenarios: in practical linguistic forensic ...
• Assessment of haemodynamic remodeling in fetal aortic coarctation using a lumped model of the circulation

  Giménez Mínguez, Paula; Bijnens, Bart; Bernardino Perez, Gabriel; Lluch Alvarez, Èric; Soveral, Iris; Gómez, Olga; García Cañadilla, Patricia, 1985- (Springer, 2017)

  Introduction: Aortic coarctation is one of the most difficult cardiac defects to diagnose before birth, and it accounts for 8% of congenital heart diseases. Antenatal diagnosis is crucial for early treatment of the neonate ...
• Automatic labeling of vascular structures with topological constraints via HMM

  Wang, Xingce; Liu, Yue; Wu, Zhongke; Mou, Xiao; Zhou, Mingquan; González Ballester, Miguel Ángel, 1973-; Zhang, Chong (2017)

  Identifcation of anatomical vessel branches is a prerequisite task for diagnosis, treatment and inter-subject comparison. We propose a novel graph labeling approach to anatomically label vascular structures of interest. ...
• Audio, video and multimodal person identification in a smart room

  Luque, Jordi; Morros, R.; Garde, I.; Anguita, Jan; Farrús, Mireia; Macho, D.; Marqués, F.; Martínez, C.; Vilaplana, V.; Hernando, Javier (Springer, 2007)

  In this paper, we address the modality integration issue on the example of a smart room environment aiming at enabling person identification by combining speech and 2D face images. First we introduce the monomodal audio ...
• A web-based translation service at the UOC based on Apertium

  Villarejo Muñoz, Luis; Farrús, Mireia; Ortiz, Sergio; Ramírez, Gemma (Institute of Electrical and Electronics Engineers (IEEE), 2010)

  In this paper, we describe the adaptation process of Apertium, a free/open-source rule-based machine translation platform which is operating in a number of different real-life contexts, to the linguistic needs of the ...
• Using jitter and shimmer in speaker verification

  Farrús, Mireia; Hernando, Javier (Institution of Engineering and Technology (IET), 2009)

  Jitter and shimmer are measures of the fundamental frequency and amplitude cycle-to-cycle variations, respectively. Both features have been largely used for the description of pathological voices, and since they characterise ...
• Fusing prosodic and acoustic information for speaker recognition

  Farrús, Mireia (Equinox Publishing, 2009)

  Automatic speaker recognition is the use of a machine to identify an individual from a spoken sentence. Recently, this technology has been increasingly used in applications such as access control, transaction authentication, ...
• Automatic speaker recognition as a measurement of voice imitation and conversion

  Farrús, Mireia; Wagner, Michael; Erro, Daniel; Hernando, Javier (Equinox Publishing, 2010)

  Voices can be deliberately disguised by means of human imitation or voice conversion. The question arises as to what extent they can be modified by using either of both methods. In the current paper, a set of speaker ...
• Overcoming statistical machine translation limitations: error analysis and proposed solutions for the Catalan–Spanish language pair

  Farrús, Mireia; Costa-jussà, Marta R.; Mariño Acebal, José B.; Poch, Marc; Hernández, Adolfo; Henríquez, Carlos; Fonollosa, José A Rodriguez (Springer, 2011)

  This work aims to improve an N-gram-based statistical machine translation system between the Catalan and Spanish languages, trained with an aligned Spanish-Catalan parallel corpus consisting of 1.7 million sentences taken ...
• Fusion of valence and arousal annotations through dynamic subjective ordinal modelling

  Ruiz, Adrià; Martinez, Oriol; Binefa i Valls, Xavier; Sukno, Federico M. (Institute of Electrical and Electronics Engineers (IEEE), 2017)

  An essential issue when training and validating computer vision systems for affect analysis is how to obtain reliable ground-truth labels from a pool of subjective annotations. In this paper, we address this problem ...
• Towards estimating the upper bound of visual-speech recognition: the visual lip-reading feasibility databas

  Fernandez-Lopez, Adriana; Martinez, Oriol; Sukno, Federico M. (Institute of Electrical and Electronics Engineers (IEEE), 2017)

  Speech is the most used communication method between humans and it involves the perception of auditory and visual channels. Automatic speech recognition focuses on interpreting the audio signals, although the video can ...
• FORGe at SemEval-2017 Task 9: deep sentence generation based on a sequence of graph transducers

  Mille, Simon; Carlini, Roberto; Burga Díaz, Alicia; Wanner, Leo (ACL (Association for Computational Linguistics), 2017)

  We present the contribution of Universitat Pompeu Fabra’s NLP group to the Sem-Eval Task 9.2 (AMR-to-English Generation). The proposed generation pipeline comprises: (i) a series of rule-based graphtransducers for the ...

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