INES
COUSO BLANCO
Catedrática de Universidad
ANA MARIA
PALACIOS JIMENEZ
Investigador/a
Publikationen, an denen er mitarbeitet ANA MARIA PALACIOS JIMENEZ (25)
2016
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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
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Finding informative code metrics under uncertainty for predicting the pass rate of online courses
Information Sciences, Vol. 373, pp. 42-56
2015
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Sequential pattern mining applied to aeroengine condition monitoring with uncertain health data
Engineering Applications of Artificial Intelligence, Vol. 44, pp. 10-24
2014
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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
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Bootstrap analysis of multiple repetitions of experiments using an interval-valued multiple comparison procedure
Journal of Computer and System Sciences
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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
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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
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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)
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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
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CI-LQD: A software tool for modeling and decision making with Low Quality Data
IEEE International Conference on Fuzzy Systems
2012
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Boosting of fuzzy rules with low quality data
Journal of Multiple-Valued Logic and Soft Computing, Vol. 19, Núm. 5-6, pp. 591-619
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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
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Equalizing imbalanced imprecise datasets for genetic fuzzy classifiers
International Journal of Computational Intelligence Systems, Vol. 5, Núm. 2, pp. 276-296
2011
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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
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Linguistic cost-sensitive learning of genetic fuzzy classifiers for imprecise data
International Journal of Approximate Reasoning, Vol. 52, Núm. 6, pp. 841-862
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Managing stochastic algorithms cross-validation variability using an interval valued multiple comparison procedure
International Conference on Intelligent Systems Design and Applications, ISDA
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Using the Adaboost algorithm for extracting fuzzy rules from low quality data: Some preliminary results
IEEE International Conference on Fuzzy Systems
2010
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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
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Diagnosis of dyslexia with low quality data with genetic fuzzy systems
International Journal of Approximate Reasoning, Vol. 51, Núm. 8, pp. 993-1009
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Preprocessing vague imbalanced datasets and its use in genetic fuzzy classifiers
2010 IEEE World Congress on Computational Intelligence, WCCI 2010