Publikationen, an denen er mitarbeitet Luciano Sánchez Ramos (11)

2014

  1. Cost-Sensitive Learning of Fuzzy Rules for Imbalanced Classification Problems Using FURIA

    International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 22, Núm. 5, pp. 643-675

2013

  1. A genetic fuzzy linguistic combination method for fuzzy rule-based multiclassifiers

    IEEE Transactions on Fuzzy Systems, Vol. 21, Núm. 5, pp. 950-965

  2. Multiobjective genetic classifier selection for random oracles fuzzy rule-based classifier ensembles: How beneficial is the additional diversity?

    Knowledge-Based Systems, Vol. 54, pp. 3-21

2010

  1. Introducing a genetic fuzzy linguistic combination method for bagging fuzzy rule-based multiclassification systems

    2010 4th International Workshop on Genetic and Evolutionary Fuzzy Systems, GEFS 2010

2008

  1. A first study on bagging fuzzy rule-based classification systems with multicriteria genetic selection of the component classifiers

    2008 3rd International Workshop on Genetic and Evolving Fuzzy Systems, GEFS

  2. On the use of bagging, mutual information-based feature selection and multicriteria genetic algorithms to design fuzzy rule-based classification ensembles

    Proceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008

2002

  1. A GRASP algorithm for clustering

    Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

  2. A greedy randomized adaptive search procedure applied to the clustering problem as an initialization process using K-Means as a local search procedure

    Journal of Intelligent and Fuzzy Systems

  3. Some relationships between fuzzy and random set-based classifiers and models

    International Journal of Approximate Reasoning, Vol. 29, Núm. 2, pp. 175-213

1999

  1. Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques

    Applied Intelligence, Vol. 10, Núm. 1, pp. 5-24

1998

  1. Computing the spanish medium electrical line maintenance costs by means of evolution- based learning processes

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)