Salvador Aguilar Ruiz-rekin lankidetzan egindako argitalpenak (74)

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

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]

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)