JULIÁN
LUENGO MARTÍN
CATEDRÁTICO DE UNIVERSIDAD
ALBERTO LUIS
FERNÁNDEZ HILARIO
CATEDRÁTICO DE UNIVERSIDAD
Publications dans lesquelles il/elle collabore avec ALBERTO LUIS FERNÁNDEZ HILARIO (10)
2022
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The impact of heterogeneous distance functions on missing data imputation and classification performance
Engineering Applications of Artificial Intelligence, Vol. 111
2017
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KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining
International Journal of Computational Intelligence Systems, Vol. 10, Núm. 1, pp. 1238-1249
2011
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Addressing data complexity for imbalanced data sets: Analysis of SMOTE-based oversampling and evolutionary undersampling
Soft Computing, Vol. 15, Núm. 10, pp. 1909-1936
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KEEL data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework
Journal of Multiple-Valued Logic and Soft Computing, Vol. 17, Núm. 2-3, pp. 255-287
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Using KEEL software as a educational tool: A case of study teaching data mining
Proceedings of the 2011 7th International Conference on Next Generation Web Services Practices, NWeSP 2011
2010
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Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power
Information Sciences, Vol. 180, Núm. 10, pp. 2044-2064
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Genetics-based machine learning for rule induction: State of the art, taxonomy, and comparative study
IEEE Transactions on Evolutionary Computation, Vol. 14, Núm. 6, pp. 913-941
2009
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A study of statistical techniques and performance measures for genetics-based machine learning: Accuracy and interpretability
Soft Computing, Vol. 13, Núm. 10, pp. 959-977
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Addressing data-complexity for imbalanced data-sets: A preliminary study on the use of preprocessing for C4.5
ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications
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Implementation and integration of algorithms into the KEEL data-mining software tool
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)