Now showing items 1-13 of 13

  • Boosting applied to word sense disambiguation 

    Escudero Bakx, Gerard; Màrquez Villodre, Lluís; Rigau Claramunt, German (2000-01)
    External research report
    Open Access
    In this paper we apply Schapire and Singer's AdaBoost.MH boosting algorithm to the Word Sense Disambiguation (WSD) problem. Initial experiments on a set of 15 selected polysemous words show that the boosting approach ...
  • Data-driven soft-sensors for online monitoring of batch processes with different initial conditions 

    Shokry, Ahmed; Vicente Núñez, Patricia; Escudero Bakx, Gerard; Pérez Moya, Montserrat; Graells Sobré, Moisès; Espuña Camarasa, Antonio (Pergamon Press, 2018-10-04)
    Article
    Restricted access - publisher's policy
    A soft-sensing methodology applicable to batch processes operated under changeable initial conditions is presented. These cases appear when the raw materials specifications differ from batch to batch, different production ...
  • Enhanced plant fault diagnosis based on the characterization of transient stages 

    Monroy, Isaac; Benítez Iglesias, Raúl; Escudero Bakx, Gerard; Graells Sobré, Moisès (Pergamon Press, 2011-12-05)
    Article
    Restricted access - publisher's policy
    This paper introduces a data-based fault diagnosis system that includes an enhanced characterization of faults during transient stages. First, data under abnormal operating conditions (AOC) is projected onto a reference ...
  • Entorn web per a la gestió i aprenentatge dels procediments de seguretat i medi ambient en els laboratoris d’enginyeria química 

    Graells Sobré, Moisès; Escudero Bakx, Gerard; Pérez Moya, Montserrat; González, Núria (2009-02-12T11:35:17Z)
    Conference lecture / Conference report
    Open Access
    La seguretat, la prevenció i les actituds tècnicament responsables, incloent les aspectes ètics [1], són qüestions de gran importància tècnica i social. No obstant, això no s’explicita en els continguts de les assignatures ...
  • Fault diagnosis of chemical processes with incomplete observations: A comparative study 

    Askarian, Mahdieh; Escudero Bakx, Gerard; Graells Sobré, Moisès; Zarghami, Reza; Jalali Farahani, Farhang; Mostoufi, Navid (Pergamon Press, 2016-01-04)
    Article
    Open Access
    An important problem to be addressed by diagnostic systems in industrial applications is the estimation of faults with incomplete observations. This work discusses different approaches for handling missing data, and ...
  • Fault diagnosis using the incremental learning algorithm with support vector machine 

    Ardakani, Mohammad Hamed; Graells Sobré, Moisès; Escudero Bakx, Gerard (2015)
    Conference lecture
    Open Access
    To prevent process interruption and eventual losses, the need for a reliable fault detection and diagnosis system (FDD) is completely acknowledged. Besides the capability to recognize known faults automatically, a further ...
  • Incremental learning fault detection algorithm based on hyperplane-distance 

    Ardakani, Mohammadhamed; Escudero Bakx, Gerard; Graells Sobré, Moisès; Espuña Camarasa, Antonio (Elsevier, 2016)
    Conference report
    Restricted access - publisher's policy
    Traditional methods for Fault Detection and Diagnosis (FDD) usually, consider that processes operate under a single steady condition, but because of several reasons (e.g.: equipment aging), operation conditions of ...
  • Kriging based fault detection and diagnosis approach for nonlinear noisy dynamic processes 

    Shokry, Ahmed; Ardakani, Mohammadhamed; Escudero Bakx, Gerard; Graells Sobré, Moisès; Espuña Camarasa, Antonio (Elsevier, 2016)
    Conference report
    Restricted access - publisher's policy
    This paper presents a hybrid approach to enhance the performance of the data-based Pattern Classification Techniques (PCTs) used for Fault Detection and Diagnosis (FDD) of nonlinear dynamic noisy processes. The method ...
  • Modeling and simulation of complex nonlinear dynamic processes using data based models: application to photo-fenton process 

    Shokry, Ahmed; Audino, Francesca; Vicente Núñez, Patricia; Escudero Bakx, Gerard; Pérez Moya, Montserrat; Graells Sobré, Moisès; Espuña Camarasa, Antonio (Elsevier, 2015)
    Conference report
    Restricted access - publisher's policy
    This paper investigates data based modelling of complex nonlinear processes, for which a first principle model useful for process monitoring and control is not available. These empirical models may be used as soft sensors ...
  • Naive Bayes and exemplar-based approaches to word sense disambiguation revisited 

    Escudero Bakx, Gerard; Màrquez Villodre, Lluís; Rigau Claramunt, German (2000-02)
    External research report
    Open Access
    This paper describes an experimental comparison between two standard supervised learning methods, namely Naive Bayes and Exemplar--based classification, on the Word Sense Disambiguation (WSD) problem. The aim of the ...
  • On the portability and tuning of supervised word sense disambiguation systems 

    Escudero Bakx, Gerard; Màrquez Villodre, Lluís; Rigau Claramunt, German (2000-05)
    External research report
    Open Access
    This report describes a set of experiments carried out to explore the portability of alternative supervised Word Sense Disambiguation algorithms. The aim of the work is threefold: firstly, studying the performance of these ...
  • Optimal features selection for designing a fault diagnosis system 

    Ardakani, Mohammadhamed; Askarian, Mahdieh; Shokry, Ahmed; Escudero Bakx, Gerard; Graells Sobré, Moisès; Espuña Camarasa, Antonio (Elsevier, 2016)
    Conference report
    Restricted access - publisher's policy
    Fault diagnosis (FD) using data-driven methods is essential for monitoring complex process systems, but its performance is severely affected by the quality of the used information. Additionally, processing huge amounts of ...
  • Performance assessment of a novel fault diagnosis system based on support vector machines 

    Yélamos Ruiz, Ignacio; Escudero Bakx, Gerard; Graells Sobré, Moisès; Puigjaner Corbella, Lluís (Pergamon Press, 2009-01-13)
    Article
    Restricted access - publisher's policy
    Fault diagnosis in chemical plants is reviewed and discussed, while an innovative data-based fault diagnosis system (FDS) approach is proposed. The use of support vector machines (SVM) is considered for their simpler ...