Recent Submissions

  • Denoising wavefront sensor image with deep neural networks 

    Pou Mulet, Bartomeu; Quiñones Moreno, Eduardo; Gratadour, Damien; Martín Muñoz, Mario (International Society for Photo-Optical Instrumentation Engineers (SPIE), 2020)
    Conference report
    Open Access
    A classical closed-loop adaptive optics system with a Shack-Hartmann wavefront sensor (WFS) relies on a center of gravity approach to process the WFS information and an integrator with gain to produce the commands to a ...
  • The role of intelligent decision support systems in sustainability: an end-user experience 

    Gibert, Karina; Sànchez-Marrè, Miquel; Jadoon, Muhammad Awais; Grabiec, Natalia; Lovagnini, Greta; Perriard, Arnaud; Sharma, Sumit; Wargocki, Piotr (2019)
    Conference lecture
    Restricted access - publisher's policy
    The paper presents a preliminary analysis of some intelligent decision support systems for sustainability from the point of view of the end user experience, by comparing up to four available systems. The role that these ...
  • GOPHER, an HPC framework for large scale graph exploration and inference 

    Josep Fabregó, Marc; Teruel García, Xavier; Giménez Ábalos, Víctor; Cirilo, Davide; Garcia Gasulla, Dario; Álvarez Napagao, Sergio; Garcia Gasulla, Marta; Ayguadé Parra, Eduard; Valencia, Alfonso (Springer, 2020)
    Conference report
    Open Access
    Biological ontologies, such as the Human Phenotype Ontology (HPO) and the Gene Ontology (GO), are extensively used in biomedical research to investigate the complex relationship that exists between the phenome and the ...
  • Data augmentation for deep learning of non-mydriatic screening retinal fundus images 

    Moya Sánchez, Eduardo Ulises; Sánchez Pérez, Abraham; Zapata Victori, Miguel Ángel; Moreno, Jonatan; Garcia Gasulla, Dario; Parés, Ferran; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Cortés García, Claudio Ulises (Springer, 2018)
    Conference report
    Restricted access - publisher's policy
    Fundus image is an effective and low-cost tool to screen for common retinal diseases. At the same time, Deep Learning (DL) algorithms have been shown capable of achieving similar or even better performance accuracies than ...
  • Building graph representations of deep vector embeddings 

    Garcia Gasulla, Dario; Vilalta Arias, Armand; Parés Pont, Ferran; Moreno Vázquez, Jonatan; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Cortés García, Claudio Ulises; Suzumura, Toyotaro (Association for Computational Linguistics, 2017)
    Conference lecture
    Open Access
    Patterns stored within pre-trained deep neural networks compose large and powerful descriptive languages that can be used for many different purposes. Typically, deep network representations are implemented within vector ...
  • Full-network embedding in a multimodal embedding pipeline 

    Vilalta Arias, Armand; Garcia Gasulla, Dario; Parés Pont, Ferran; Moreno Vázquez, Jonatan; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Cortés García, Claudio Ulises; Suzumura, Toyotaro (Association for Computational Linguistics, 2017)
    Conference lecture
    Open Access
    The current state-of-the-art for image annotation and image retrieval tasks is obtained through deep neural networks, which combine an image representation and a text representation into a shared embedding space. In this ...
  • Herramienta basada en minería de datos para la automatización del diseño de sistemas inteligentes en EDAR 

    Pascual Pañach, Josep; Cugueró Escofet, Miquel Àngel; Sànchez-Marrè, Miquel; Aguiló Martos, Pere (Asociación Española de Abastecimientos de Agua y Saneamiento, 2019)
    Conference lecture
    Open Access
    Uno de los principales problemas para diseñar e implementar un sistema de supervisión y control para un proceso radica en la necesidad de establecer una solución ad-hoc para cada instalación. La interoperabilidad de los ...
  • A hybrid recommender system for industrial symbiotic networks 

    Gkatzioura, Anna; Sànchez-Marrè, Miquel; Gibert, Karina (2018)
    Conference lecture
    Open Access
    Various solutions enabling the realization of synergies in Industrial Symbiotic Networks have been proposed. However, incorporating intelligence into the platforms that these networks use, supporting the involved actors ...
  • An interoperable workflow-based framework for the automation of building intelligent process control systems 

    Pascual Pañach, Josep; Cugueró Escofet, Miquel Àngel; Aguiló Martos, Pere; Sànchez-Marrè, Miquel (International Environmental Modelling and Software Society (iEMSs), 2018)
    Conference lecture
    Open Access
    One of the major problems to design and implement a control/supervision system for a process lies in the need to establish an ad-hoc system for each process installation. On the other side, an open challenge related to the ...
  • Random forest as a tumour genetic marker extractor 

    Pérez Arnal, Raquel; Garcia Gasulla, Dario; Torrents Rodas, David; Pares, Ferran; Cortés García, Claudio Ulises; Labarta Mancho, Jesús José; Ayguadé Parra, Eduard (IOS Press, 2019)
    Conference report
    Open Access
    Finding tumour genetic markers is essential to biomedicine due to their relevance for cancer detection and therapy development. In this paper, we explore a recently released dataset of chromosome rearrangements in 2,586 ...
  • Towards a goal-oriented agent-based simulation framework for high-performance computing 

    Gnatyshak, Dmitry; Oliva Felipe, Luis Javier; Álvarez Napagao, Sergio; Padget, Julián; Vázquez Salceda, Javier; Garcia Gasulla, Dario; Cortés García, Claudio Ulises (IOS Press, 2019)
    Conference lecture
    Open Access
    Currently, agent-based simulation frameworks force the user to choose between simulations involving a large number of agents (at the expense of limited agent reasoning capability) or simulations including agents with ...
  • Coin_flipper at eHealth-KD challenge 2019: voting LSTMs for key phrases and semantic relation identification applied to spanish eHealth texts 

    Catala Roig, Neus; Martín Muñoz, Mario (CEUR-WS.org, 2019)
    Conference report
    Open Access
    This paper describes our approach presented for the eHealthKD 2019 challenge. Our participation was aimed at testing how far we could go using generic tools for Text-Processing but, at the same time, using common optimization ...

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