Publicaciones (32) Publicaciones de ANA MARIA PALACIOS JIMENEZ

2023

  1. Evaluation of Matrix Metalloproteases by Artificial Intelligence Techniques in Negative Biopsies as New Diagnostic Strategy in Prostate Cancer

    International Journal of Molecular Sciences, Vol. 24, Núm. 8

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. Genetic learning of the membership functions for mining fuzzy association rules from low quality data

    Information Sciences, Vol. 295, pp. 358-378

  2. 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. 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

  4. 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)

  5. Supervising classrooms comprising children with dyslexia and other learning problems with graphical exploratory analysis for fuzzy data: Presentation of the software tool and case study

    IEEE International Conference on Fuzzy Systems

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. Eliciting a human understandable model of ice adhesion strength for rotor blade leading edge materials from uncertain experimental data

    Expert Systems with Applications, Vol. 39, Núm. 11, pp. 10212-10225

  4. Equalizing imbalanced imprecise datasets for genetic fuzzy classifiers

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

  5. Mining fuzzy association rules from low-quality data

    Soft Computing, Vol. 16, Núm. 5, pp. 883-901

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