Graphic summary
  • Show / hide key
  • Information


Scientific and technological production
  •  

1 to 50 of 55 results
  • Análisis automático de datos experimentales en fisiología cardiaca

     Escudero Bakx, Gerard; Arboleda Aguinaga, Juan Pablo; Velazquez Lerma, Susana Adriana; Benitez Iglesias, Raul
    Competitive project

     Share

  • Inteligencia artificial avanzada

     Benitez Iglesias, Raul; Escudero Bakx, Gerard; Kanaan Izquierdo, Samir; Masip Rodó, David
    Date of publication: 2013-07-08
    Book

    Read the abstract Read the abstract View View Open in new window  Share Reference managers Reference managers Open in new window

    En este libro se introducen los conceptos fundamentales de la Inteligencia Artificial, desde una visión muy orientada al reconocimiento de patrones. El lector podrá encontrar una revisión completa de las técnicas avanzadas más usadas en el campo del aprendizaje automático. El texto se ha enfocado desde un punto de vista eminentemente práctico. Las explicaciones teóricas de las diferentes técnicas se basan en la resolución de problemas concretos. Los algoritmos están acompañados de ejemplos, escritos en Python, con aplicaciones directas en ámbitos como el procesado de imágenes o el análisis de textos. Los diferentes capítulos comprenden las técnicas de aprendizaje no supervisado, los métodos de reducción de la dimensionalidad y extracción de características (PCA, NMF, ICA, LDA, MDS), los principales algoritmos de clasificación de patrones (probabilísticos, kNN, SVM y Boosting) y diferentes métodos de optimización.

  • An investigation on automatic systems for fault diagnosis in chemical processes  Open access

     Monroy Chora, Isaac
    Department of Chemical Engineering, Universitat Politècnica de Catalunya
    Theses

    Read the abstract Read the abstract Access to the full text Access to the full text Open in new window  Share Reference managers Reference managers Open in new window

    Plant safety is the most important concern of chemical industries. Process faults can cause economic loses as well as human and environmental damages. Most of the operational faults are normally considered in the process design phase by applying methodologies such as Hazard and Operability Analysis (HAZOP). However, it should be expected that failures may occur in an operating plant. For this reason, it is of paramount importance that plant operators can promptly detect and diagnose such faults in order to take the appropriate corrective actions. In addition, preventive maintenance needs to be considered in order to increase plant safety. Fault diagnosis has been faced with both analytic and data-based models and using several techniques and algorithms. However, there is not yet a general fault diagnosis framework that joins detection and diagnosis of faults, either registered or non-registered in records. Even more, less efforts have been focused to automate and implement the reported approaches in real practice. According to this background, this thesis proposes a general framework for data-driven Fault Detection and Diagnosis (FDD), applicable and susceptible to be automated in any industrial scenario in order to hold the plant safety. Thus, the main requirement for constructing this system is the existence of historical process data. In this sense, promising methods imported from the Machine Learning field are introduced as fault diagnosis methods. The learning algorithms, used as diagnosis methods, have proved to be capable to diagnose not only the modeled faults, but also novel faults. Furthermore, Risk-Based Maintenance (RBM) techniques, widely used in petrochemical industry, are proposed to be applied as part of the preventive maintenance in all industry sectors. The proposed FDD system together with an appropriate preventive maintenance program would represent a potential plant safety program to be implemented. Thus, chapter one presents a general introduction to the thesis topic, as well as the motivation and scope. Then, chapter two reviews the state of the art of the related fields. Fault detection and diagnosis methods found in literature are reviewed. In this sense a taxonomy that joins both Artificial Intelligence (AI) and Process Systems Engineering (PSE) classifications is proposed. The fault diagnosis assessment with performance indices is also reviewed. Moreover, it is exposed the state of the art corresponding to Risk Analysis (RA) as a tool for taking corrective actions to faults and the Maintenance Management for the preventive actions. Finally, the benchmark case studies against which FDD research is commonly validated are examined in this chapter. The second part of the thesis, integrated by chapters three to six, addresses the methods applied during the research work. Chapter three deals with the data pre-processing, chapter four with the feature processing stage and chapter five with the diagnosis algorithms. On the other hand, chapter six introduces the Risk-Based Maintenance techniques for addressing the plant preventive maintenance. The third part includes chapter seven, which constitutes the core of the thesis. In this chapter the proposed general FD system is outlined, divided in three steps: diagnosis model construction, model validation and on-line application. This scheme includes a fault detection module and an Anomaly Detection (AD) methodology for the detection of novel faults. Furthermore, several approaches are derived from this general scheme for continuous and batch processes. The fourth part of the thesis presents the validation of the approaches. Specifically, chapter eight presents the validation of the proposed approaches in continuous processes and chapter nine the validation of batch process approaches. Chapter ten raises the AD methodology in real scaled batch processes. First, the methodology is applied to a lab heat exchanger and then it is applied to a Photo-Fenton pilot plant, which corroborates its potential and success in real practice. Finally, the fifth part, including chapter eleven, is dedicated to stress the final conclusions and the main contributions of the thesis. Also, the scientific production achieved during the research period is listed and prospects on further work are envisaged.

    La seguridad de planta es el problema más inquietante para las industrias químicas. Un fallo en planta puede causar pérdidas económicas y daños humanos y al medio ambiente. La mayoría de los fallos operacionales son previstos en la etapa de diseño de un proceso mediante la aplicación de técnicas de Análisis de Riesgos y de Operabilidad (HAZOP). Sin embargo, existe la probabilidad de que pueda originarse un fallo en una planta en operación. Por esta razón, es de suma importancia que una planta pueda detectar y diagnosticar fallos en el proceso y tomar las medidas correctoras adecuadas para mitigar los efectos del fallo y evitar lamentables consecuencias. Es entonces también importante el mantenimiento preventivo para aumentar la seguridad y prevenir la ocurrencia de fallos. La diagnosis de fallos ha sido abordada tanto con modelos analíticos como con modelos basados en datos y usando varios tipos de técnicas y algoritmos. Sin embargo, hasta ahora no existe la propuesta de un sistema general de seguridad en planta que combine detección y diagnosis de fallos ya sea registrados o no registrados anteriormente. Menos aún se han reportado metodologías que puedan ser automatizadas e implementadas en la práctica real. Con la finalidad de abordar el problema de la seguridad en plantas químicas, esta tesis propone un sistema general para la detección y diagnosis de fallos capaz de implementarse de forma automatizada en cualquier industria. El principal requerimiento para la construcción de este sistema es la existencia de datos históricos de planta sin previo filtrado. En este sentido, diferentes métodos basados en datos son aplicados como métodos de diagnosis de fallos, principalmente aquellos importados del campo de “Aprendizaje Automático”. Estas técnicas de aprendizaje han resultado ser capaces de detectar y diagnosticar no sólo los fallos modelados o “aprendidos”, sino también nuevos fallos no incluidos en los modelos de diagnosis. Aunado a esto, algunas técnicas de mantenimiento basadas en riesgo (RBM) que son ampliamente usadas en la industria petroquímica, son también propuestas para su aplicación en el resto de sectores industriales como parte del mantenimiento preventivo. En conclusión, se propone implementar en un futuro no lejano un programa general de seguridad de planta que incluya el sistema de detección y diagnosis de fallos propuesto junto con un adecuado programa de mantenimiento preventivo. Desglosando el contenido de la tesis, el capítulo uno presenta una introducción general al tema de esta tesis, así como también la motivación generada para su desarrollo y el alcance delimitado. El capítulo dos expone el estado del arte de las áreas relacionadas al tema de tesis. De esta forma, los métodos de detección y diagnosis de fallos encontrados en la literatura son examinados en este capítulo. Asimismo, se propone una taxonomía de los métodos de diagnosis que unifica las clasificaciones propuestas en el área de Inteligencia Artificial y de Ingeniería de procesos. En consecuencia, se examina también la evaluación del performance de los métodos de diagnosis en la literatura. Además, en este capítulo se revisa y reporta el estado del arte correspondiente al “Análisis de Riesgos” y a la “Gestión del Mantenimiento” como técnicas complementarias para la toma de medidas correctoras y preventivas. Por último se abordan los casos de estudio considerados como puntos de referencia en el campo de investigación para la aplicación del sistema propuesto. La tercera parte incluye el capítulo siete, el cual constituye el corazón de la tesis. En este capítulo se presenta el esquema o sistema general de diagnosis de fallos propuesto. El sistema es dividido en tres partes: construcción de los modelos de diagnosis, validación de los modelos y aplicación on-line. Además incluye un modulo de detección de fallos previo a la diagnosis y una metodología de detección de anomalías para la detección de nuevos fallos. Por último, de este sistema se desglosan varias metodologías para procesos continuos y por lote. La cuarta parte de esta tesis presenta la validación de las metodologías propuestas. Específicamente, el capítulo ocho presenta la validación de las metodologías propuestas para su aplicación en procesos continuos y el capítulo nueve presenta la validación de las metodologías correspondientes a los procesos por lote. El capítulo diez valida la metodología de detección de anomalías en procesos por lote reales. Primero es aplicada a un intercambiador de calor escala laboratorio y después su aplicación es escalada a un proceso Foto-Fenton de planta piloto, lo cual corrobora el potencial y éxito de la metodología en la práctica real. Finalmente, la quinta parte de esta tesis, compuesta por el capítulo once, es dedicada a presentar y reafirmar las conclusiones finales y las principales contribuciones de la tesis. Además, se plantean las líneas de investigación futuras y se lista el trabajo desarrollado y presentado durante el periodo de investigación.

  • A novelty detection approach for detecting faulty batches in a photo-Fenton proces

     Monroy Chora, Isaac; Yamal Turbay, Evelyn; Escudero Bakx, Gerard; Pérez Moya, Montserrat; Graells Sobre, Moises
    Computer aided chemical engineering
    Vol. 30, p. 972-976
    DOI: 10.1016/B978-0-444-59520-1.50053-1
    Date of publication: 2012
    Journal article

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • A promising OPC-based computer system applied to fault diagnosis

     Silvente Saiz, Javier; Monroy Chora, Isaac; Escudero Bakx, Gerard; Espuña Camarasa, Antonio; Graells Sobre, Moises
    Computer aided chemical engineering
    Vol. 30, p. 892-896
    DOI: 10.1016/B978-0-444-59520-1.50037-3
    Date of publication: 2012
    Journal article

    Read the abstract Read the abstract View View Open in new window  Share Reference managers Reference managers Open in new window

    Fault detection and diagnosis is a challenging problem for plant economics and safety. In this context, a promising OPC-based modular architecture for a Fault Diagnosis System (FDS) is designed and implemented. This FDS has been validated by performing on-line real-time diagnosis on a simulated process. The modular architecture allows openly connecting a simulator or a real process via OPC. The Tennessee Eastman Process (TEP) is used as data generator and case study, so that several abnormal operation conditions can be diagnosed by the system. The proposed architecture is discussed regarding the integration of future modules for the timely adoption of appropriate corrective actions.

  • A novelty detection approach for detecting faulty batches in a photo-Fenton process

     Monroy Chora, Isaac; Yamal Turbay, Evelyn; Escudero Bakx, Gerard; Pérez Moya, Montserrat; Graells Sobre, Moises
    European Symposium on Computer Aided Process Engineering
    p. 972-976
    DOI: 10.1016/B978-0-444-59520-1.50053-1
    Presentation's date: 2012-06-18
    Presentation of work at congresses

    Read the abstract Read the abstract View View Open in new window  Share Reference managers Reference managers Open in new window

    A novelty detection approach for detecting novel faults has been developed and applied to a photo-Fenton process in a fully monitored pilot plant. The proposed approach consists of two stages: Fault Detection or binary classification stage, and Fault Diagnosis (FD) or multi-class classification stage. Batches under nominal operating conditions, where coffee samples are degraded, are defined according to an experimental design and three possible faults are found in the process. Experimental batches under such normal and abnormal conditions are used to construct the classification models and therefore, the novelty detection approach. Two faulty batches, not learned by the models, were used to validate the approach. The successful results obtained encourage performing potential models for other pollutants that allow further detecting novel contaminants in wastewater treatments.

  • A promising OPC-based computer system applied to fault diagnosis

     Silvente Saiz, Javier; Monroy Chora, Isaac; Escudero Bakx, Gerard; Espuña Camarasa, Antonio; Graells Sobre, Moises
    European Symposium on Computer Aided Process Engineering
    p. 892-896
    DOI: 10.1016/B978-0-444-59520-1.50037-3
    Presentation's date: 2012-06-18
    Presentation of work at congresses

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • Plataforma wireless per a la instrumentació dels laboratoris d'Enginyeria Química de l'EUETIB

     Graells Sobre, Moises; Perez Poch, Antoni; Tornil Sin, Sebastian; Espuña Camarasa, Antonio; Pérez Moya, Montserrat; Escudero Bakx, Gerard; Nougues, Jose Maria; Guerrero Zapata, Josep Maria; Albarracín Cristóbal, Francisco
    Jornada d'Innovació Docent UPC
    Presentation's date: 2012-02-07
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • Enhanced plant fault diagnosis based on the characterization of transient stages

     Monroy Chora, Isaac; Benitez Iglesias, Raul; Escudero Bakx, Gerard; Graells Sobre, Moises
    Computers & chemical engineering
    Vol. 37, p. 200-213
    DOI: 10.1016/j.compchemeng.2011.12.006
    Date of publication: 2011-12-05
    Journal article

    Read the abstract Read the abstract View View Open in new window  Share Reference managers Reference managers Open in new window

    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 PCA model constructed with data under normal operating conditions (NOC). T2 and Q-statistic measures of this first PCA model are both used to detect the fault and to estimate the duration and delay of its transient evolution. After a dimensionality reduction, a second NOC PCA model is used to process data before diagnosing the faults by standard classification methods such as Artificial Neural Networks (ANN) or Support Vector Machines (SVM). A quantitative validation of the procedure has been carried out using simulated on-line data sets of the Tennessee Eastman Process (TEP). Results indicate that the incorporation of transient data in models improves the overall diagnosis performance, regardless of the particular choice between the statistical methods or the classification methods.

  • Anomaly detection in a Photo-Fenton pilot plant

     Monroy Chora, Isaac; Yamal Turbay, Evelyn; Escudero Bakx, Gerard; Graells Sobre, Moises; Pérez Moya, Montserrat
    Mediterranean Congress of Chemical Engineering
    p. 1
    Presentation's date: 2011-11-18
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • An open architecture for the fault diagnosis of chemical processes

     Silvente Saiz, Javier; Monroy Chora, Isaac; Escudero Bakx, Gerard; Espuña Camarasa, Antonio; Graells Sobre, Moises
    Mediterranean Congress of Chemical Engineering
    p. 1
    Presentation's date: 2011-11-17
    Presentation of work at congresses

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • DESARROLLO DE TÉCNICAS DE ANÁLISIS DE SITEMAS COMPLEJOS PARA EL ESTUDIO DE PROBLEMAS EN FISIOLOGÍA CARDÍACA

     Kanaan Izquierdo, Samir; Escudero Bakx, Gerard; Vallmitjana Lees, Alexander; Velazquez Lerma, Susana Adriana; Benitez Iglesias, Raul
    Competitive project

     Share

  • A semi-supervised approach to fault diagnosis for chemical processes

     Monroy Chora, Isaac; Benitez Iglesias, Raul; Escudero Bakx, Gerard; Graells Sobre, Moises
    Computers & chemical engineering
    Vol. 34, num. 5, p. 631-642
    DOI: 10.1016/j.compchemeng.2009.12.008
    Date of publication: 2010-01-04
    Journal article

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • On-Line Fault Diagnosis Based on the Identification of Transient Stages

     Monroy Chora, Isaac; Benitez Iglesias, Raul; Escudero Bakx, Gerard; Graells Sobre, Moises
    European Symposium on Computer Aided Process Engineering
    p. 1453-1458
    Presentation's date: 2010-06-07
    Presentation of work at congresses

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • Performance assessment of a novel fault diagnosis system based on support vector machines

     Yélamos Ruiz, Ignacio; Escudero Bakx, Gerard; Graells Sobre, Moises; Puigjaner Corbella, Luis
    Computers & chemical engineering
    Vol. 33, num. 1, p. 244-255
    DOI: 10.1016/j.compchemeng.2008.08.008
    Date of publication: 2009-01-13
    Journal article

    Read the abstract Read the abstract View View Open in new window  Share Reference managers Reference managers Open in new window

    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 design and implementation, and for allowing the better handling of complex and large data sets. In order to compare results with previously reported works, a standard case study such as the Tennessee Eastman (TE) process benchmark is considered. SVM achieves consistent and promising results. However, the difficulties arising when comparing SVM with previously reported results reveals the need for a systematic procedure for contrasting the performance of different FDS. Hence, general performance assessment indexes based on precision and recall of each FDS are proposed and used. In this sense, this study provides a data set and evaluation measures that could be used as a framework for future comparisons.

  • Anomaly detection in batch chemical processes

     Monroy Chora, Isaac; Escudero Bakx, Gerard; Graells Sobre, Moises
    European Symposium on Computer Aided Process Engineering
    p. 255-260
    DOI: 10.1016/S1570-7946(09)70043-4
    Presentation's date: 2009-06-04
    Presentation of work at congresses

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • DICA enhanced SVM classification approach to fault diagnosis for chemical processes

     Monroy Chora, Isaac; Benitez Iglesias, Raul; Escudero Bakx, Gerard; Graells Sobre, Moises
    European Symposium on Computer Aided Process Engineering
    p. 267-272
    DOI: 10.1016/S1570-7946(09)70045-8
    Presentation's date: 2009-06-04
    Presentation of work at congresses

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • Entorno web para la gestión y aprendizaje de los procedimientos de seguridad y medio ambiente en los laboratorios de Ingeniería Química

     Escudero Bakx, Gerard; Pérez Moya, Montserrat; Graells Sobre, Moises
    Congreso Universitario de Innovación Educativa en las Enseñanzas Técnicas
    p. 158
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • Innovaciones docentes con introducción de portfolio en una asignatura de fundamentos de programación en ingeniería industrial

     Perez Poch, Antoni; Tornil Sin, Sebastian; Escudero Bakx, Gerard; Kanaan Izquierdo, Samir; Gomis Román, Pedro
    Octava Jornada sobre Aprendizaje Cooperativo
    p. 91-96
    Presentation's date: 2008-07-04
    Presentation of work at congresses

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • Innovaciones docentes en un proceso de mejora continua para una asignatura de fundamentos de programación en ingeniería industrial

     Escudero Bakx, Gerard; Tornil Sin, Sebastian; Gomis Román, Pedro; Perez Poch, Antoni; Kanaan Izquierdo, Samir
    Jornadas de Enseñanza Universitaria de la Informática
    p. 385-392
    Presentation's date: 2008-07-10
    Presentation of work at congresses

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • General Framework for Solving the Design and Operation of Wastewater Treatment Networks

     Martín-Sistac, C; Escudero Bakx, Gerard; Graells Sobre, Moises
    European Symposium on Computer Aided Process Engineering
    p. 1325-1330
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • Simultaneous fault diagnosis in chemical plants using a multilabel approach

     Yélamos Ruiz, Ignacio; Graells Sobre, Moises; Puigjaner Corbella, Luis; Escudero Bakx, Gerard
    AICHE journal
    Vol. 53, num. 11, p. 2871-2884
    DOI: DOI: 10.1002/aic.11313
    Date of publication: 2007
    Journal article

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • La automatización de un laboratorio de ingeniería química para uso docente: una plataforma multidisciplinar para la realización de trabajos de fin de carrera e investigación

     Escudero Bakx, Gerard; Graells Sobre, Moises; Guerrero Zapata, Josep Maria; Tornil Sin, Sebastian
    Jornadas de Enseñanza Universitaria de la Informática
    p. 505-510
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • General Framework for Solving the Design and Operation of Wastewater Treatment Networks

     Martín-Sistac, C; Escudero Bakx, Gerard; Graells Sobre, Moises
    European Symposium on Computer-Aided Process Engineering-17
    p. 1325-1330
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • La automatización de un laboratorio de ingeniería química para uso docente: una plataforma multidisciplinar para la realización de trabajos de fin de carrera e investigación

     Escudero Bakx, Gerard
    Jornadas de Enseñanza Universitaria de la Informática
    Presentation's date: 2007-07-16
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • MACHINE LEARNING TECHNIQUES FOR WORD SENSE DISAMBIGUATION

     Escudero Bakx, Gerard
    Department of Computer Science, Universitat Politècnica de Catalunya
    Theses

     Share Reference managers Reference managers Open in new window

  • General Framework and Open Prototype for Solving Distributed Wastewater Treatment Systems

     Martín-Sistac, C; Escudero Bakx, Gerard; Graells Sobre, Moises
    International Mediterranean Modelling Multiconference
    p. 411-421
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • Supervised Corpus-Based Methods for WSD

     Màrquez Villodre, Lluís; Escudero Bakx, Gerard; Martínez, David; Rigau Claramunt, German
    Date of publication: 2006
    Book chapter

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • Una aproximación a la Informática Industrial para la Ingenieria Química

     Gomis Román, Pedro; Escudero Bakx, Gerard
    Jornadas de Enseñanza Universitaria de la Informática
    p. 271-278
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • Fault diagnosis based on support vector machines and systematic comparison to existing approaches

     Yélamos Ruiz, Ignacio; Escudero Bakx, Gerard; Graells Sobre, Moises; Puigjaner Corbella, Luis
    European Symposium on Computer Aided Process Engineering
    p. 1-21
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • Fault diagnosis based on support vector machines and systematic comparison to existing approaches

     Yélamos Ruiz, Ignacio; Escudero Bakx, Gerard; Graells Sobre, Moises
    European Symposium on Computer Aided Process Engineering
    p. 1209-1214
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • A modeling framework for addressing the design and operation of distributed wastewater treatment systems

     Escudero Bakx, Gerard; Martín Sistac, Cristina; Graells Sobre, Moises
    Mediterranean Congress of Chemical Engineering
    p. 557
    Presentation's date: 2005-11-16
    Presentation of work at congresses

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • Application of support vector machines to enhance reliable and accurate fault diagnosis in chemical processes

     Yélamos Ruiz, Ignacio; Escudero Bakx, Gerard; Graells Sobre, Moises; Puigjaner Corbella, Luis
    Mediterranean Congress of Chemical Engineering
    p. 1
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • TALP system for the English lexical sample task

     Escudero Bakx, Gerard; Màrquez Villodre, Lluís
    SENSEVAL-3: Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text.
    p. 113-116
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • TALP system for the English lexical sample task

     Escudero Bakx, Gerard
    SENSEVAL-3: Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text.
    Presentation's date: 2004-07-26
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • TALP system for the english lexical sample task

     Escudero Bakx, Gerard; Màrquez Villodre, Lluís
    SENSEVAL-3: Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text.
    p. 113-116
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • First release of the multilingual Central Repository of Meaning

     Villarejo, - L; Escudero Bakx, Gerard
    Procesamiento del lenguaje natural
    num. 31, p. 327-328
    Date of publication: 2003-09
    Journal article

    View View Open in new window  Share Reference managers Reference managers Open in new window

  • IST-2001-34460 Developing multilingual Web-scale language technologies

     Rigau Claramunt, German; Màrquez Villodre, Lluís; Daude Ventura, Jorge; Rodriguez Hontoria, Horacio; Escudero Bakx, Gerard; Catala Roig, Neus; Padró Cirera, Lluís; Farwell, David Loring
    Competitive project

     Share

  • Recursos d?enginyeria lingüística del català: anàlisi morfològica i WordNet

     Escudero Bakx, Gerard
    I Jornada sobre Comunicació Mediatitzada per Ordinador en Català
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • Recursos d?enginyeria lingüística del català: anàlisi morfològica i WordNet

     Escudero Bakx, Gerard
    I Jornada sobre Comunicació Mediatitzada per Ordinador en Català
    Presentation's date: 2001-12-01
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • Using LazyBoosting for Word Sense Disambiguation

     Escudero Bakx, Gerard; Màrquez Villodre, Lluís; Rigau Claramunt, German
    Second International Workshop on Evaluating Word Sense Disambiguation Systems
    p. 71-74
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • Naive Bayes and Exemplar-based Approaches to Word Sense Disambiguation Revisited

     Escudero Bakx, Gerard; Màrquez Villodre, Lluís; Rigau Claramunt, German
    (W7) Workshop on Binding Environmental Sciences and Artificial Intelligence (BESAI 2000) held in conjunction with the 14th European Conference on Artificial Intelligence (ECAI 2000)
    p. 421-425
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • Boosting Applied to Word Sense Disambiguation

     Escudero Bakx, Gerard; Màrquez Villodre, Lluís; Rigau Claramunt, German
    Date: 2000-01
    Report

     Share Reference managers Reference managers Open in new window

  • Naive Bayes and Exemplar-Based approaches to Word Sense Disambiguation Revisited

     Escudero Bakx, Gerard; Màrquez Villodre, Lluís; Rigau Claramunt, German
    Date: 2000-02
    Report

     Share Reference managers Reference managers Open in new window

  • On the Portability and Tuning of Supervised Word Sense Disambiguation Systems

     Escudero Bakx, Gerard; Màrquez Villodre, Lluís; Rigau Claramunt, German
    Date: 2000-05
    Report

     Share Reference managers Reference managers Open in new window

  • A Comparison between Supervised Learning Algorithms for Word Sense Disambiguation

     Escudero Bakx, Gerard; Màrquez Villodre, Lluís; Rigau Claramunt, German
    4th Conference on Computational Natural Language Learning
    p. 31-36
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • An Empirical Study of the Domain Dependence of Supervised Word Sense Disambiguation Systems

     Escudero Bakx, Gerard; Màrquez Villodre, Lluís; Rigau Claramunt, German
    Empirical Methods i Natural Language Processing and Very Large Corpora
    p. 172-180
    Presentation of work at congresses

     Share Reference managers Reference managers Open in new window

  • Converting the Enciclopedia Catalana bilingual MRD to an MTD.

     Benítez, García L; Escudero Bakx, Gerard; Farreres De La Morena, Javier; Rigau Claramunt, German
    Date: 1998-02
    Report

     Share Reference managers Reference managers Open in new window

  • Applying Automatic Methods for the Construction of Multilingual WordNets.

     Benítez, García L; Escudero Bakx, Gerard; Farreres De La Morena, Javier; Rigau Claramunt, German
    Date: 1998-02
    Report

     Share Reference managers Reference managers Open in new window

  • WWI 0.0: A Multilingual WordNet Interface using the Web. Technical Manual.

     Benítez, García L; Escudero Bakx, Gerard; Farreres De La Morena, Javier; Rigau Claramunt, German
    Date: 1998-03
    Report

     Share Reference managers Reference managers Open in new window