Now showing items 1-20 of 74

    • A decision making support tool: The resilience management fuzzy controller 

      González Cardenas, Rubén; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Vellido Alcacena, Alfredo (Institute of Electrical and Electronics Engineers (IEEE), 2017)
      Conference report
      Open Access
      In this paper a fuzzy controller capable to perform an automated estimation of the period of time necessary to recover a resilience level is proposed. Estimations where made by considering realistic time-dependent action ...
    • A flexible fuzzy inductive reasoning approach for load modelling able to cope with missing data 

      Jurado Gómez, Sergio; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (ICST), 2015)
      Conference report
      Open Access
      Load forecasting in buildings and homes has been in recent years a task of increasing importance. New services and functionalities can be offered in the home environment due to this predictions, for instance, the detection ...
    • A fuzzy inductive approach for rule-based modelling of high level structures in algorithmic composition systems 

      Múgica Álvarez, Francisco; Paz Ortiz, Alejandro Iván; Nebot Castells, M. Àngela; Romero Merino, Enrique (2015)
      Conference report
      Restricted access - publisher's policy
      Algorithmic composition systems are now widely understood. However, its capacity for producing outputs consistently showing high level structures is still a field of research. In the present work, the Fuzzy Inductive ...
    • A fuzzy rule model for high level musical features on automated composition systems 

      Paz Ortiz, Alejandro Iván; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Romero Merino, Enrique (Springer, 2017)
      Part of book or chapter of book
      Open Access
      Algorithmic composition systems are now well-understood. However, when they are used for specific tasks like creating material for a part of a piece, it is common to prefer, from all of its possible outputs, those exhibiting ...
    • A hierarchical perspective to fuzzy inductive reasoning: an attempt to obtain more understandable fuzzy inductive reasoning rules 

      Bagherpour, Solmaz; Múgica Álvarez, Francisco; Nebot Castells, M. Àngela (2015)
      Conference lecture
      Restricted access - publisher's policy
      Generalizing hypotheses based on the past data in order to predict the future is the essential core of human learning. Various successful methods and techniques have been developed so far that perform some sort of ...
    • A methodological approach for algorithmic composition systems' parameter spaces aesthetic exploration 

      Paz Ortiz, Alejandro Iván; Nebot Castells, M. Àngela; Romero Merino, Enrique; Múgica Álvarez, Francisco; Vellido Alcacena, Alfredo (Institute of Electrical and Electronics Engineers (IEEE), 2017)
      Conference lecture
      Open Access
      Algorithmic composition is the process of creating musical material by means of formal methods. As a consequence of its design, algorithmic composition systems are (explicitly or implicitly) described in terms of parameters. ...
    • A model for continuous monitoring of patients with major depression in short and long term periods 

      Múgica Álvarez, Francisco; Nebot Castells, M. Àngela; Bagherpour, Solmaz; Baladón, Luisa; Serrano, Antoni (2016-12-19)
      Article
      Open Access
      BACKGROUND AND OBJECTIVE: Major depressive disorder causes more human suffering than any other disease affecting humankind. It has a high prevalence and it is predicted that it will be among the three leading causes of ...
    • A novel rule-based oversampling approach for imbalanced data classification 

      Zhang, Xiao; Paz Ortiz, Alejandro Iván; Nebot Castells, M. Àngela (EUROSIS-ETI, 2023)
      Conference lecture
      Restricted access - publisher's policy
      When confronted with imbalanced datasets, traditional classifiers frequently struggle to correctly categorize samples from the minority class, adversely impacting the overall predictive performance of machine learning ...
    • A proposal for climate change resilience management through fuzzy controllers 

      González Cárdenas, Rubén; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco (SciTePress, 2016)
      Conference report
      Open Access
      We aim towards the implementation of a set of fuzzy controllers capable to perform automated estimation of the period of time necessary to recover a resilience level through the non-linear influence of a set of interrelated ...
    • A prospective fuzzy approach for the development of integral seismic risk scenarios for Barcelona, Spain 

      González Cárdenas, Rubén; Múgica Álvarez, Francisco; Nebot Castells, M. Àngela (SciTePress, 2017)
      Conference report
      Restricted access - publisher's policy
      We create a set of synthetic seismic risk scenarios by combining stochastic seismic simulations with social fragility indicators by mean of a fuzzy Mamdani type inference nested-model. The original values of the social ...
    • A soft computing decision support framework to improve the e-learning experience 

      Castro Espinoza, Félix Agustín; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco (Society for Computer Simulation International San Diego, 2008)
      Conference report
      Open Access
      In this paper an e-learning decision support framework based on a set of soft computing techniques is presented. The framework is mainly based on the FIR methodology and two of its key extensions: a set of Causal Relevance ...
    • A weighted Cramer's V index for the assessment of stability in the fuzzy clustering of class C G protein-coupled receptors 

      Vellido Alcacena, Alfredo; Halka, Christiana; Nebot Castells, M. Àngela (Springer, 2015)
      Part of book or chapter of book
      Open Access
      After decades of intensive use, K-Means is still a common choice for crisp data clustering in real-world applications, particularly in biomedicine and bioinformatics. It is well-known that different initializations of the ...
    • A weighted Cramér’s V Index for the assessment of stability in the fuzzy clustering of class C G protein-coupled receptors 

      Vellido Alcacena, Alfredo; Halka, Christiana; Nebot Castells, M. Àngela (Springer, 2015)
      Conference report
      Open Access
      After decades of intensive use, K-Means is still a common choice for crisp data clustering in real-world applications, particularly in biomedicine and bioinformatics. It is well-known that different initializations of the ...
    • Ad-RuLer: A novel rule-driven data synthesis technique for imbalanced classification 

      Zhang, Xiao; Paz Ortiz, Alejandro Iván; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Romero Merino, Enrique (Multidisciplinary Digital Publishing Institute, 2023-11-23)
      Article
      Open Access
      When classifiers face imbalanced class distributions, they often misclassify minority class samples, consequently diminishing the predictive performance of machine learning models. Existing oversampling techniques predominantly ...
    • Un algoritmo para la extracción automática de reglas lógicas a partir de modelos FIR 

      Castro Espinoza, Félix Agustín; Nebot Castells, M. Àngela (2007-01)
      Research report
      Open Access
      In this report the LR-FIR (Logical Rules with FIR) algorithm is described. The main goal of LR-FIR is to extract, in an automatic way, a set of logical rules that explain system’s behaviour. The algorithm starts from the ...
    • An e-Learning toolbox based on rule-based fuzzy approaches 

      Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Castro Espinoza, Félix Agustín (Multidisciplinary Digital Publishing Institute, 2020-09-28)
      Article
      Open Access
      In this paper, an e-Learning toolbox based on a set of fuzzy logic data mining techniques is presented. The toolbox is mainly based on the fuzzy inductive reasoning (FIR) methodology and two of its key extensions: (i) the ...
    • Aplicación de algoritmos de clustering desarrollados en el entorno FIR a la predicción de la concentración de ozono 

      Gómez Miranda, Pilar; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco (2002-06-06)
      Research report
      Open Access
      El presente trabajo tiene como objetivo estudiar la aplicación de diferentes al-goritmos de clustering desarrollados en el entorno de la metodología FIR al problema de la predicción a largo plazo de las concentraciones ...
    • Automatic construction of rules fuzzy for modelling and prediction of the central nervous system 

      Múgica Álvarez, Francisco; Nebot Castells, M. Àngela; Gómez Miranda, Pilar (2002-07-03)
      Research report
      Open Access
      The main goal of this work is to study the performance of CARFIR (Automatic Construction of Rules in Fuzzy Inductive Reasoning) methodology for the modelling and prediction of the human central nervous system (CNS). The ...
    • CÀLCUL DIFERENCIAL I INTEGRAL (2n quadrimestre) 

      Nebot Castells, M. Àngela (Universitat Politècnica de Catalunya, 2010-06-04)
      Exam
      Restricted access to the UPC academic community
    • CÀLCUL DIFERENCIAL I INTEGRAL (2n quadrimestre) 

      Nebot Castells, M. Àngela (Universitat Politècnica de Catalunya, 2010-06-04)
      Exam
      Restricted access to the UPC academic community