Julián Luengo Martín

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Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, SpainVerificeret mail på decsai.ugr.es
Salvador GarcíaFull Professor of Computer Science and Artificial Intelligence. University of Granada.Verificeret mail på decsai.ugr.es
Alberto Fernández HilarioFull Professor of Computer Science and Artificial Intelligence, University of GranadaVerificeret mail på decsai.ugr.es
José A. SáezDept. of Statistics and Operations Research, University of GranadaVerificeret mail på ugr.es
Diego García-GilAssistant Professor, University of GranadaVerificeret mail på ugr.es
Joaquin Derrac RusData ScientistVerificeret mail på gresearch.co.uk
Sergio Ramírez-GallegoPhD. ML and Computer ScienceVerificeret mail på thalesaleniaspace.com
Isaac Triguero VelázquezDistinguished Senior Research Fellow at University of Granada, Associate Professor in Data ScienceVerificeret mail på ugr.es
Luciano SanchezProfessor of Computer Science, Oviedo UniversityVerificeret mail på uniovi.es
Anabel Gómez-RíosUniversidad de GranadaVerificeret mail på decsai.ugr.es
Jesus Alcala-FdezFull Professor of Computer Science and Artificial Intelligence, University of GranadaVerificeret mail på decsai.ugr.es
Siham TabikProfessor, Dpt. Computer Science and Artificial Intelligence, University of GranadaVerificeret mail på ugr.es
Jesús Maillo HidalgoPh.D. Department of Computer Science and Artificial Intelligence, University of GranadaVerificeret mail på decsai.ugr.es
Mikel GalarFull Professor of Computer Science and Artificial Intelligence, Universidad Pública de NavarraVerificeret mail på unavarra.es
Victoria Lopez MoralesResearch Associate, Imperial College LondonVerificeret mail på imperial.ac.uk
José Ramón Cano De AmoUniversity of JaenVerificeret mail på ujaen.es
Sergio González VázquezPhD on Information & Communications Technology. Department of Computer Science and ArtificialVerificeret mail på decsai.ugr.es
Jerzy StefanowskiPoznan University of TechnologyVerificeret mail på cs.put.poznan.pl
ASM ShihavuddinProfessor, EEE, Presidency University (PU)Verificeret mail på pu.edu.bd
María José Del Jesus DíazAssociate professor of Computer Science, University of JaénVerificeret mail på ujaen.es

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Julián Luengo Martín

Associate Professor at University of Granada

Verificeret mail på decsai.ugr.es

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


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
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	3133	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	2298	2010
Data Preprocessing in Data Mining S García, J Luengo, F Herrera Springer, 2014	1857	2014
Big data preprocessing: methods and prospects S García, S Ramírez-Gallego, J Luengo, JM Benítez, F Herrera Big data analytics 1, 1-22, 2016	816	2016
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	806	2009
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	707	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	651	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	428	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	368	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	325	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	294	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	259	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	239	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	205	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	198	2009
Enabling smart data: noise filtering in big data classification D García-Gil, J Luengo, S García, F Herrera Information Sciences 479, 135-152, 2019	184	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	181	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	162	2019
Big data preprocessing J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera Cham: Springer 1, 1-186, 2020	138	2020
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	138	2013

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