Julián Luengo Martín

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

Julián Luengo Martín

Associate Professor at University of Granada

Verified email at decsai.ugr.es

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


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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	2955	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	2278	2010
Data Preprocessing in Data Mining S García, J Luengo, F Herrera Springer, 2014	1772	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	801	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	774	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	690	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	630	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	410	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	360	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	326	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	290	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	244	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	233	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	202	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	197	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	181	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	179	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	172	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	161	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	139	2013

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