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Julián Luengo Martín
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Keel data-mining software tool: data set repository, integration of algorithms and experimental analysis framework.
J Alcalá-Fdez, A Fernández, J Luengo, J Derrac, S García, L Sánchez, ...
Journal of Multiple-Valued Logic & Soft Computing 17, 2011
23872011
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power
S García, A Fernández, J Luengo, F Herrera
Information sciences 180 (10), 2044-2064, 2010
17582010
Data Preprocessing in Data Mining
S García, J Luengo, F Herrera
Springer, 2014
10812014
A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability
S García, A Fernández, J Luengo, F Herrera
Soft Computing 13 (10), 959-977, 2009
6942009
A survey of discretization techniques: Taxonomy and empirical analysis in supervised learning
S Garcia, J Luengo, JA Sáez, V Lopez, F Herrera
IEEE transactions on Knowledge and Data Engineering 25 (4), 734-750, 2012
5382012
SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering
JA Sáez, J Luengo, J Stefanowski, F Herrera
Information Sciences 291, 184-203, 2015
4092015
Big data preprocessing: methods and prospects
S García, S Ramírez-Gallego, J Luengo, JM Benítez, F Herrera
Big Data Analytics 1 (1), 1-22, 2016
3772016
On the choice of the best imputation methods for missing values considering three groups of classification methods
J Luengo, S García, F Herrera
Knowledge and information systems 32 (1), 77-108, 2012
2562012
Tutorial on practical tips of the most influential data preprocessing algorithms in data mining
S García, J Luengo, F Herrera
Knowledge-Based Systems 98, 1-29, 2016
2492016
KEEL 3.0: an open source software for multi-stage analysis in data mining
I Triguero, S González, JM Moyano, S García López, J Alcalá Fernández, ...
Atlantis Press, 2017
1942017
Genetics-based machine learning for rule induction: state of the art, taxonomy, and comparative study
A Fernández, S García, J Luengo, E Bernadó-Mansilla, F Herrera
IEEE Transactions on Evolutionary Computation 14 (6), 913-941, 2010
1812010
COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on chest X-ray images
S Tabik, A Gómez-Ríos, JL Martín-Rodríguez, I Sevillano-García, ...
IEEE journal of biomedical and health informatics 24 (12), 3595-3605, 2020
1792020
Addressing data complexity for imbalanced data sets: analysis of SMOTE-based oversampling and evolutionary undersampling
J Luengo, A Fernández, S García, F Herrera
Soft Computing 15 (10), 1909-1936, 2011
1772011
A study on the use of statistical tests for experimentation with neural networks: Analysis of parametric test conditions and non-parametric tests
J Luengo, S García, F Herrera
Expert Systems with Applications 36 (4), 7798-7808, 2009
1612009
Analyzing the presence of noise in multi-class problems: alleviating its influence with the one-vs-one decomposition
JA Sáez, M Galar, J Luengo, F Herrera
Knowledge and information systems 38 (1), 179-206, 2014
1342014
Enabling smart data: noise filtering in big data classification
D García-Gil, J Luengo, S García, F Herrera
Information Sciences 479, 135-152, 2019
1292019
A study on the use of imputation methods for experimentation with radial basis function network classifiers handling missing attribute values: The good synergy between rbfns …
J Luengo, S García, F Herrera
Neural Networks 23 (3), 406-418, 2010
1142010
Tackling the problem of classification with noisy data using multiple classifier systems: Analysis of the performance and robustness
JA Sáez, M Galar, J Luengo, F Herrera
Information Sciences 247, 1-20, 2013
1032013
Predicting noise filtering efficacy with data complexity measures for nearest neighbor classification
JA Sáez, J Luengo, F Herrera
Pattern Recognition 46 (1), 355-364, 2013
1032013
Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation
A Gómez-Ríos, S Tabik, J Luengo, ASM Shihavuddin, B Krawczyk, ...
Expert Systems with Applications 118, 315-328, 2019
882019
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Articles 1–20