Recent Submissions

  • Choosing the root of the tree decomposition when solving WCSPs: preliminary results 

    Petrova, Aleksandra; Larrosa Bondia, Francisco Javier; Rollón Rico, Emma (IOS Press, 2021)
    Conference report
    Open Access
    In this paper we analyze the effect of selecting the root in a tree decomposition when using decomposition-based backtracking algorithms. We focus on optimization tasks for Graphical Models using the BTD algorithm. We show ...
  • Applying and verifying an explainability method based on policy graphs in the context of reinforcement learning 

    Climent Muñoz, Antoni; Gnatyshak, Dmitry; Álvarez Napagao, Sergio (IOS Press, 2021)
    Conference report
    Open Access
    The advancement on explainability techniques is quite relevant in the field of Reinforcement Learning (RL) and its applications can be beneficial for the development of intelligent agents that are understandable by humans ...
  • Everything transformers: Recognition, classification and normalisation of professions and family relations 

    Medina Herrera, Salvador; Turmo Borras, Jorge (CEUR-WS.org, 2021)
    Conference report
    Open Access
    This document describes the system submitted by TALP team for IberLEF 2021’s MEDDOPROF Shared Task. The joint occupation mention identification and family relation classification model is composed of a pre-trained DistilBERT ...
  • Real-time multimodal emotion classification system in E-Learning context 

    Arijit, Nandi; Xhafa Xhafa, Fatos; Subirats Maté, Laia; Fort, Santiago (Springer, 2021)
    Conference report
    Restricted access - publisher's policy
    Emotions of learners are crucial and important in e-learning as they promote learning. To investigate the effects of emotions on improving and optimizing the outcomes of e-learning, machine learning models have been proposed ...
  • TALP at eHealth-KD Challenge 2020: Multi-level recurrent and convolutional neural networks for joint classification of key-phrases and relations 

    Medina Herrera, Salvador; Turmo Borras, Jorge (CEUR-WS.org, 2020)
    Conference report
    Open Access
    This article describes the model presented by the TALP Team to IberLEF’s eHealth Knowledge Discovery 2020 shared task[1]. The model iterates over the idea of using a single model for simultaneously identify key-phrases and ...
  • 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 ...
  • Textual visual semantic dataset for text spotting 

    Sabir, Ahmed; Moreno-Noguer, Francesc; Padró, Lluís (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    Text Spotting in the wild consists of detecting and recognizing text appearing in images (e.g. signboards, traffic signals or brands in clothing or objects). This is a challenging problem due to the complexity of the context ...
  • 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 ...
  • 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 ...
  • Analyzing distances in word embeddings and their relation with seme analysis 

    Gijón Agudo, Manuel; Vilalta Arias, Armand; Garcia Gasulla, Dario (IOS Press, 2019)
    Conference report
    Open Access
    Word embeddings have recently become a fundamental tool of Natural Language Processing, with application to tasks like machine translation or image annotation. The high-dimensional space defined by these embeddings is ...

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