Now showing items 1-9 of 9

    • A linguistic multi-criteria decision-aiding system to support university career services 

      Nguyen, Jennifer; Sánchez Hernández, Germán; Armisen Morell, Albert; Agell Jané, Núria; Angulo Bahón, Cecilio (2017-07-27)
      Article
      Open Access
      In this paper we introduce a linguistic multi-criteria decision-aiding model to support college students with the internship job market application. It considers a fuzzy ordered weighted averaging (FOWA) operator in the ...
    • Byte-based neural machine translation 

      Ruiz Costa-Jussà, Marta; Escolano Peinado, Carlos; Rodríguez Fonollosa, José Adrián (Association for Computational Linguistics, 2017)
      Conference report
      Open Access
      This paper presents experiments compar- ing character-based and byte-based neural machine translation systems. The main motivation of the byte-based neural ma- chine translation system is to build multi- lingual neural ...
    • DeepVoice: tecnologías de aprendizaje profundo aplicadas al procesado de voz y audio 

      Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián (2017-09-22)
      Article
      Open Access
      Este proyecto propone el desarrollo de nuevas arquitecturas para el procesado de la voz y el audio mediante métodos de aprendizaje profundo, explorando también nuevas aplicaciones y dando continuidad al trabajo inicial del ...
    • Estrategia de búsqueda de dispositivos basada en el historial de conexiones utilizando redes neuronales 

      Abad Padilla, José Alfredo; Gorricho Moreno, Juan Luis (2009)
      Conference report
      Open Access
      La movilidad es una de las principales características de las redes de comunicación actuales y produce cambios en su estructura, que en muchas ocasiones no son advertidos por la totalidad de los dispositivos que la ...
    • From feature to paradigm: deep learning in machine translation 

      Ruiz Costa-Jussà, Marta (2018-04-01)
      Article
      Open Access
      In the last years, deep learning algorithms have highly revolutionized several areas including speech, image and natural language processing. The specific field of Machine Translation (MT) has not remained invariant. ...
    • Identificación automática con redes neuronales artificiales 

      Melero Sarto, Victor (Universitat Politècnica de Catalunya, 2004-01)
      Master thesis (pre-Bologna period)
      Open Access
    • Introduction to the special issue on deep learning approaches for machine translation 

      Ruiz Costa-Jussà, Marta; Allauzen, Alexandre; Barrault, loïc; Cho, Kyunghun; Schwenk, Holger (Elsevier, 2017)
      Article
      Open Access
      Deep learning is revolutionizing speech and natural language technologies since it is offering an effective way to train systems and obtaining significant improvements. The main advantage of deep learning is that, by ...
    • Red neuronal para la identificación de sistemas 

      Casas Martínez, José Luís (Universitat Politècnica de Catalunya, 2004)
      Master thesis (pre-Bologna period)
      Open Access
    • Word prediction for a real-time reader device for blind people 

      Palou Llobera, Pere (Universitat Politècnica de Catalunya, 2008-09-15)
      Master thesis
      Open Access
      The aim of this project, taking the software developed in a previous work as the starting point, is to increase the recognition reliability and robustness. The main goal of the future global system is the ability to be the ...