Publicaciones en las que colabora con Salvador Aguilar Ruiz (74)

2012

  1. Fast feature selection aimed at high-dimensional data via hybrid-sequential-ranked searches

    Expert Systems with Applications, Vol. 39, Núm. 12, pp. 11094-11102

  2. Searching for rules to detect defective modules: A subgroup discovery approach

    Information Sciences, Vol. 191, pp. 14-30

2011

  1. Discovery of motifs to forecast outlier occurrence in time series

    Pattern Recognition Letters, Vol. 32, Núm. 12, pp. 1652-1665

  2. Energy time series forecasting based on pattern sequence similarity

    IEEE Transactions on Knowledge and Data Engineering, Vol. 23, Núm. 8, pp. 1230-1243

2010

  1. Inferring gene regression networks with model trees

    BMC Bioinformatics, Vol. 11

2009

  1. Finding defective software modules by means of data mining techniques

    IEEE Latin America Transactions

  2. Searching for rules to find defective modules in unbalanced data sets

    Proceedings - 1st International Symposium on Search Based Software Engineering, SSBSE 2009

2008

  1. Efficient Incremental-Ranked Feature Selection in Massive Data

    COMPUTATIONAL METHODS OF FEATURE SELECTION (CHAPMAN & HALL/CRC PRESS), pp. 147-166

  2. Evolutionary techniques applied to the optimal short-term scheduling of the electrical energy production

    European Journal of Operational Research, Vol. 185, Núm. 3, pp. 1114-1127

  3. LBF: A labeled-based forecasting algorithm and its application to electricity price time series

    Proceedings - IEEE International Conference on Data Mining, ICDM

2007

  1. Detection of microcalcifications in mammographies based on linear pixel prediction and support-vector machines

    Proceedings - IEEE Symposium on Computer-Based Medical Systems

  2. Efficient incremental-ranked feature selection in massive data

    Computational Methods of Feature Selection (CRC Press), pp. 147-166

  3. Mejor subconjunto aglomerativo ordenado para selección de atributos

    Actas del V Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados

  4. Natural encoding for evolutionary supervised learning

    IEEE Transactions on Evolutionary Computation, Vol. 11, Núm. 4, pp. 466-479

  5. Selección de atributos: una revisión

    Actas del IV Taller de Minería de Datos y Aprendizaje: [TAMIDA 2007]

2006

  1. A comparison of effort estimation methods for 4GL programs: Experiences with statistics and data mining

    International Journal of Software Engineering and Knowledge Engineering

  2. Data streams classification by incremental rule learning with parameterized generalization

    Proceedings of the ACM Symposium on Applied Computing

  3. Incremental wrapper-based gene selection from microarray data for cancer classification

    Pattern Recognition, Vol. 39, Núm. 12, pp. 2383-2392

2005

  1. Actas del III Taller Nacional de Minería de Datos y Aprendizaje

    Thomson-Paraninfo

  2. Analysis of feature rankings for classification

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