متابعة
Julián Luengo Martín
Julián Luengo Martín
Associate Professor at University of Granada
بريد إلكتروني تم التحقق منه على decsai.ugr.es
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Keel data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework‏
J Derrac, S Garcia, L Sanchez, F Herrera‏
J. Mult. Valued Logic Soft Comput 17, 255-287, 2015‏
30332015
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
23242010
Data Preprocessing in Data Mining‏
S García, J Luengo, F Herrera‏
Springer, 2014‏
18822014
Big data preprocessing: methods and prospects‏
S García, S Ramírez-Gallego, J Luengo, JM Benítez, F Herrera‏
Big data analytics 1, 1-22, 2016‏
8352016
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, 959-977, 2009‏
8122009
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
7052012
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
6522015
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
4282020
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
3732016
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, 77-108, 2012‏
3332012
KEEL 3.0: an open source software for multi-stage analysis in data mining‏
I Triguero, S González, JM Moyano, S García, J Alcalá-Fdez, J Luengo, ...‏
International Journal of Computational Intelligence Systems 10 (1), 1238-1249, 2017‏
2962017
Transforming big data into smart data: An insight on the use of the k‐nearest neighbors algorithm to obtain quality data‏
I Triguero, D García‐Gil, J Maillo, J Luengo, S García, F Herrera‏
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 9 (2 …, 2019‏
2622019
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, 1909-1936, 2011‏
2432011
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
2052010
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
1992009
Enabling smart data: noise filtering in big data classification‏
D García-Gil, J Luengo, S García, F Herrera‏
Information Sciences 479, 135-152, 2019‏
1872019
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, 179-206, 2014‏
1822014
Keel data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework‏
J Alcal-Fdez, A Fernndez, J Luengo, J Derrac, S Garca, L Snchez, ...‏
Journal of Multiple-Valued Logic and Soft Computing 17 (2-3), 255-287, 2011‏
1822011
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
1692019
Big data preprocessing‏
J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera‏
Cham: Springer, 2020‏
1422020
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مقالات 1–20