Doctorat en Intel·ligència Artificial

Recent Submissions

  • MetH: A family of high-resolution and variable-shape image challenges 

    Parés Pont, Ferran; Garcia Gasulla, Dario; Servat, Harald; Labarta Mancho, Jesús José; Ayguadé Parra, Eduard (2019-11-20)
    External research report
    Open Access
    High-resolution and variable-shape images have not yet been properly addressed by the AI community. The approach of down-sampling data often used with convolutional neural networks is sub-optimal for many tasks, and has ...

  • Aplicación de la evaluación parcial a la metaprogramación 

    González Martínez, Juan (1990)
    External research report
    Open Access
    If we apply partial evaluation to a meinterpreter and a program, we obtain another program that combines the functionalities of interpreter and the results of the program, without the inefficiency of the interpretation. ...

  • 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 ...

  • Application of CBR for intelligent process control of a WWTP 

    Pascual Pañach, Josep; Cugeró Escofet, Miquel Àngel; Sànchez-Marrè, Miquel; Aguiló Martos, Pere (IOS Press, 2019)
    Article
    Open Access
    This paper proposes the use of a Case-Based Reasoning (CBR) system for the control and the supervision of a real wastewater treatment plant (WWTP). A WWTP is a critical system which aims to ensure the quality of the water ...

  • 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 ...

  • K nearest neighbour optimal selection in fuzzy inductive reasoning for smart grid applications 

    Jurado Gómez, Sergio; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    Energy recasting has been an area of great interest in the last years. It unlocks, not only the Smart Grid's potential with load balancing but also new business models and added value services. To achieve an accurate, ...

  • Talp-UPC at eHealth-KD challenge 2019: A joint model with contextual embeddings for clinical information extraction 

    Medina Herrera, Salvador; Turmo Borras, Jorge (CEUR-WS.org, 2019)
    Conference report
    Open Access
    Most eHealth entity recognition and relation extraction models tackle the identification of entities and relations with independent specialized models. In this article, we show how a single combined model can exploit the ...