Julián Luengo Martín 个人学术档案

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Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, Spain在 decsai.ugr.es 的电子邮件经过验证
Salvador GarcíaFull Professor of Computer Science and Artificial Intelligence. University of Granada.在 decsai.ugr.es 的电子邮件经过验证
Alberto Fernández HilarioFull Professor of Computer Science and Artificial Intelligence, University of Granada在 decsai.ugr.es 的电子邮件经过验证
José A. SáezDept. of Statistics and Operations Research, University of Granada在 ugr.es 的电子邮件经过验证
Joaquin Derrac RusData Scientist在 gresearch.co.uk 的电子邮件经过验证
Diego García-GilAssistant Professor, University of Granada在 ugr.es 的电子邮件经过验证
Sergio Ramírez-GallegoPhD. ML and Computer Science在 thalesaleniaspace.com 的电子邮件经过验证
Isaac Triguero VelázquezDistinguished Senior Research Fellow at University of Granada, Associate Professor in Data Science在 nottingham.ac.uk 的电子邮件经过验证
Luciano SanchezProfessor of Computer Science, Oviedo University在 uniovi.es 的电子邮件经过验证
Anabel Gómez-RíosUniversidad de Granada在 decsai.ugr.es 的电子邮件经过验证
Jesus Alcala-FdezFull Professor of Computer Science and Artificial Intelligence, University of Granada在 decsai.ugr.es 的电子邮件经过验证
Siham TabikProfessor, Dpt. Computer Science and Artificial Intelligence, University of Granada在 ugr.es 的电子邮件经过验证
Jesús Maillo HidalgoPh.D. Department of Computer Science and Artificial Intelligence, University of Granada在 decsai.ugr.es 的电子邮件经过验证
Mikel GalarAssociate Professor of Computer Science and Artificial Intelligence, Universidad Pública de Navarra在 unavarra.es 的电子邮件经过验证
Victoria Lopez MoralesResearch Associate, Imperial College London在 imperial.ac.uk 的电子邮件经过验证
José Ramón Cano De AmoUniversity of Jaen在 ujaen.es 的电子邮件经过验证
Sergio González VázquezPhD on Information & Communications Technology. Department of Computer Science and Artificial在 decsai.ugr.es 的电子邮件经过验证
Jerzy StefanowskiPoznan University of Technology在 cs.put.poznan.pl 的电子邮件经过验证
ASM ShihavuddinProfessor, EEE, Presidency University (PU)在 pu.edu.bd 的电子邮件经过验证
María José Del Jesus DíazAssociate professor of Computer Science, University of Jaén在 ujaen.es 的电子邮件经过验证

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Julián Luengo Martín

Associate Professor at University of Granada

在 decsai.ugr.es 的电子邮件经过验证

Artificial Intelligence Data Preprocessing in Data mining Missing Values Noise Data Data Complexity


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	2896	2015
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	2245	2010
Data Preprocessing in Data Mining S García, J Luengo, F Herrera Springer, 2014	1701	2014
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	793	2009
Big data preprocessing: methods and prospects S García, S Ramírez-Gallego, J Luengo, JM Benítez, F Herrera Big data analytics 1, 1-22, 2016	721	2016
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	674	2012
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	617	2015
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	400	2020
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	350	2016
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	322	2012
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	284	2017
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	227	2019
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	225	2011
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	200	2010
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	191	2009
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	179	2011
Enabling smart data: noise filtering in big data classification D García-Gil, J Luengo, S García, F Herrera Information Sciences 479, 135-152, 2019	171	2019
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	169	2014
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	155	2019
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	134	2013

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