Publicaciones en las que colabora con ANA MARIA PALACIOS JIMENEZ (25)

2016

  1. An extension of the FURIA classification algorithm to low quality data through fuzzy rankings and its application to the early diagnosis of dyslexia

    Neurocomputing, Vol. 176, pp. 60-71

  2. Finding informative code metrics under uncertainty for predicting the pass rate of online courses

    Information Sciences, Vol. 373, pp. 42-56

2015

  1. Sequential pattern mining applied to aeroengine condition monitoring with uncertain health data

    Engineering Applications of Artificial Intelligence, Vol. 44, pp. 10-24

2014

  1. A procedure for extending input selection algorithms to low quality data in modelling problems with application to the automatic grading of uploaded assignments

    Scientific World Journal, Vol. 2014

  2. Bootstrap analysis of multiple repetitions of experiments using an interval-valued multiple comparison procedure

    Journal of Computer and System Sciences

  3. Selecting the most informative inputs in modelling problems with vague data applied to the search of informative code metrics for continuous assessment in computer science online courses

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

2013

  1. A methodology for exploiting the tolerance for imprecision in genetic fuzzy systems and its application to characterization of rotor blade leading edge materials

    Mechanical Systems and Signal Processing, Vol. 37, Núm. 1-2, pp. 76-91

  2. An extension of the FURIA classification algorithm to low quality data

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

  3. Boosting fuzzy rules with low quality data in multi-class problems: Open problems and challenges

    Proceedings of the 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, GEFS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

  4. CI-LQD: A software tool for modeling and decision making with Low Quality Data

    IEEE International Conference on Fuzzy Systems

2012

  1. Boosting of fuzzy rules with low quality data

    Journal of Multiple-Valued Logic and Soft Computing, Vol. 19, Núm. 5-6, pp. 591-619

  2. Combining adaboost with preprocessing algorithms for extracting fuzzy rules from low quality data in possibly imbalanced problems

    International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 20, Núm. SUPPL. 2, pp. 51-71

  3. Equalizing imbalanced imprecise datasets for genetic fuzzy classifiers

    International Journal of Computational Intelligence Systems, Vol. 5, Núm. 2, pp. 276-296

2011

  1. Future performance modeling in athletism with low quality data-based genetic fuzzy systems

    Journal of Multiple-Valued Logic and Soft Computing, Vol. 17, Núm. 2-3, pp. 207-228

  2. Linguistic cost-sensitive learning of genetic fuzzy classifiers for imprecise data

    International Journal of Approximate Reasoning, Vol. 52, Núm. 6, pp. 841-862

  3. Managing stochastic algorithms cross-validation variability using an interval valued multiple comparison procedure

    International Conference on Intelligent Systems Design and Applications, ISDA

  4. Using the Adaboost algorithm for extracting fuzzy rules from low quality data: Some preliminary results

    IEEE International Conference on Fuzzy Systems

2010

  1. Assessing the evolution of learning capabilities and disorders with a graphical exploratory analysis of surveys containing missing and conflicting answers

    Neural Network World, Vol. 20, Núm. 7, pp. 825-838

  2. Diagnosis of dyslexia with low quality data with genetic fuzzy systems

    International Journal of Approximate Reasoning, Vol. 51, Núm. 8, pp. 993-1009

  3. Preprocessing vague imbalanced datasets and its use in genetic fuzzy classifiers

    2010 IEEE World Congress on Computational Intelligence, WCCI 2010