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    • A Comparative Survey of Feature Extraction and Machine Learning Methods in Diverse Acoustic Environments 

      Bonet-Solà, Daniel; Alsina-Pagès, Rosa Ma (Sensors, 2021, Vol. 21, No. 4, 2021-02)
      Acoustic event detection and analysis has been widely developed in the last few years for its valuable application in monitoring elderly or dependant people, for surveillance issues, for multimedia ...
    • Analisi de l'avaluació incremental i de l'aplicació eficient de l'Algorisme Genètic en un Sistema Classificador 

      Bernadó Mansilla, Ester; Garrell i Guiu, Josep Maria; Llorà Fàbrega, Xavier (2001-10)
      Aquest article parteix de l'ana!isi del sistema MOLeeS, un sistema classificador (eS) que evolu­ciona un conjunt de regles de classificació a partir d'algorismes genetics (GA). El sistema es descom­posa ...
    • Aprendizaje Supervisado de Reglas Difusas mediante un Sistema Clasificador Evolutivo Estilo Michigan 

      Orriols Puig, Albert; Casillas, Jorge; Bernadó Mansilla, Ester (2007-09)
      Este artículo presenta Fuzzy-UCS, un sistema clasificador de la familia de Michigan diseñado para tratar problemas de aprendizaje supervisado. Fuzzy-UCS se inspira en el sistema clasificador UCS para ...
    • BASTIAN: incorporating the Rough Sets theory into a Case-Bases Classifier System 

      Salamó Llorente, Maria; Golobardes, Elisabet (2000-10)
      This paper proposes how to incorporate the Rough Sets theory as a weighting method into a Case-Based Classifier System. This hybrid system has been implemented into the plat­form called BASTIAN ( ...
    • Classifying Microcalcifications in Digital Mammograms using Machine Learning techniques 

      Golobardes, Elisabet; Martí, Joan; Español, Josep; Salamó Llorente, Maria; Freixenet, Jordi; Llorà Fàbrega, Xavier; Maroto, Albert; Bernadó Mansilla, Ester (2001-10)
      This paper presents a Computer Aided Diag­nosis (CAD) of breast cancer from mammograms. The first part involves severa! image processing techniques, which extract a set of features from the microcalcifications ...
    • Comparison of Strategies Based on Evolutionary Computation for the Design of Similarity Functions 

      Fornells Herrera, Albert; Camps - Dausà, Joan; Golobardes Ribé, Elisabet; Garrell i Guiu, Josep Maria (Proceedings of the 8th International Conference of the ACIA, 2005-10)
      One of the main keys in case-based reasoning system is the retrievalphase, where the most similar cases are retrieved by means of a similarity function.According to the problem, the ...
    • Complejidad del Aprendizaje y Muestreo de Ejemplos en Sistemas Clasificadores 

      Bernadó Mansilla, Ester (2004-02)
      Este trabajo se centra en la aplicación de los Sistemas Clasificadores basados en Algoritmos Genéticos a problemas de aprendizaje supervisado o aprendizaje a partir de ejemplo. Concretamente, se estudia ...
    • Genetic Classifier System as a heuristic weighting method for a Case-Based Classifier System 

      Golobardes, Elisabet; Llorà Fàbrega, Xavier; Garrell i Guiu, Josep Maria; Vernet Bellet, David; Bacardit, Jaume (2000-10)
      This paper proposes how to use a Genetic Classi­fier System as a heuristic weighting method for a Case-Based Classifier System. The preliminary re­sults are performed into a specific domain: the pre­diction ...
    • homeSound: A High Performance Platform for Massive Data Acquisitionand Processing in Ambient Assisted Living Environments 

      Hervás, Marcos; Alsina-Pagès, Rosa Ma; Navarro, Joan (2017-02)
      Las Smart Grids se presentan como una solución a la demanda de la gestión distribuida e inteligente de la energía, mejorando así las funciones de automatización, recolección ...
    • Inferring the votes in a new political landscape: the case of the 2019 Spanish Presidential elections 

      Grimaldi, Didier; Diaz Cely, Javier; Arboleda, Hugo (Journal of Big Data, 2020, 2020-08)
      The avalanche of personal and social data circulating in Online Social Networks over the past 10 years has attracted a great deal of interest from Scholars and Practitioners who seek to analyse not only ...
    • MultiObjective Learning in a Genetic Classifier System (MOLeCS) 

      Bernadó Mansilla, Ester; Garrell i Guiu, Josep Maria (2000-10)
      MOLeCS is a new Classifier System which addresses its learning as a multiobjective optimization of two goals: classifier accuracy and generality. These objectives are both emphasized in the fitness ...
    • The first look: a biometric analysis of emotion recognition using key facial features 

      Gonzalez-Acosta, Ana M. S.; Vargas Treviño, Marciano; Batres-Mendoza, Patricia; Guerra-Hernandez, Erick Israel; Gutierrez Gutierrez, Jaime C.; Cano Perez, Jose L.; Solis Arrazola, Manuel Alejandro; Rostro Gonzalez, Horacio (Frontiers in Computer Science 2025, 7, 2025)
      Introduction: Facial expressions play a crucial role in human emotion recognition and social interaction. Prior research has highlighted the significance of the eyes and mouth in identifying emotions; ...
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