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Julián Luengo Martín

Highly Cited Researcher

Universidad de Granada

Highly Cited Researcher en el año 2018

Julián Luengo se licenció en Informática y se doctoró en la Universidad de Granada (Granada, España) en 2006 y 2011, respectivamente.

Actualmente se desempeña como Profesor Contratado Doctor en el Departamento de Ciencias de la Computación e Inteligencia Artificial de la Universidad de Granada, España.

Sus intereses de investigación incluyen el aprendizaje automático y la minería de datos, la preparación de datos en el descubrimiento de conocimiento, los valores perdidos, los datos ruidosos, la complejidad de los datos y las implicaciones en el aprendizaje profundo.

El Dr. Luengo ha recibido premios y honores por su trabajo personal o por sus publicaciones y conferencias, como el premio IFSA-EUSFLAT 2009 al Mejor Trabajo Estudiantil o los premios UGR a mejor artículo de investigación en ingeniería en 2014 y 2015. Pertenece a la lista de los Investigadores Altamente Citados en el área de Ciencias de la Computación (2015-2018): http://highlycited.com/ (Clarivate Analytics).

Publicaciones

Developing Big Data anomaly dynamic and static detection algorithms: AnomalyDSD spark package

Information Sciences

  • 2025
  • journal-article
WinStat: A Family of Trainable Positional Encodings for Transformers in Time Series Forecasting

Machine Learning and Knowledge Extraction

  • 2025
  • journal-article
WinStat: A Family of Trainable Positional Encodings for Transformers in Time Series Forecasting
  • 2025
  • preprint
Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series

Information Fusion

  • 2023
  • journal-article
REVEL Framework to Measure Local Linear Explanations for Black‐Box Models: Deep Learning Image Classification Case Study
AUTHORS: Iván Sevillano-García; Julián Luengo; Francisco Herrera; Alexander Hošovský

International Journal of Intelligent Systems

  • 2023
  • journal-article
A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges
AUTHORS: Julián Luengo; Raúl Moreno; Iván Sevillano; David Charte; Adrián Peláez-Vegas; Marta Fernández-Moreno; Pablo Mesejo; Francisco Herrera

Information Fusion

  • 2022
  • journal-article
Enhancing instance-level constrained clustering through differential evolution
AUTHORS: Germán González-Almagro; Julián Luengo; José-Ramón Cano; Salvador García

Applied Soft Computing

  • 2021
  • journal-article
Synthetic Sample Generation for Label Distribution Learning
AUTHORS: González, M.; Luengo, J.; Cano, J.-R.; García, S.

Information Sciences

  • 2021
  • journal-article
COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images
AUTHORS: Tabik, S.; Gomez-Rios, A.; Martin-Rodriguez, J.L.; Sevillano-Garcia, I.; Rey-Area, M.; Charte, D.; Guirado, E.; Suarez, J.L.; Luengo, J.; Valero-Gonzalez, M.A.; Garcia-Villanova, P.; Olmedo-Sanchez, E.; Herrera, F.

IEEE Journal of Biomedical and Health Informatics

  • 2020
  • journal-article
DILS: Constrained clustering through dual iterative local search
AUTHORS: González-Almagro, G.; Luengo, J.; Cano, J.-R.; García, S.

Computers and Operations Research

  • 2020
  • journal-article
Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data
AUTHORS: Maillo, J.; Garcia, S.; Luengo, J.; Herrera, F.; Triguero, I.

IEEE Transactions on Fuzzy Systems

  • 2020
  • journal-article
Improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism
AUTHORS: Gonzalez-Almagro, G.; Rosales-Perez, A.; Luengo, J.; Cano, J.-R.; Garcia, S.

GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference

  • 2020
  • conference-paper
Preprocessing methodology for time series: An industrial world application case study
AUTHORS: Juan Antonio Cortés-Ibáñez; Sergio González; José Javier Valle-Alonso; Julián Luengo; Salvador García; Francisco Herrera

Information Sciences

  • 2020
  • journal-article
A first approach on big data missing values imputation
AUTHORS: Montesdeoca, B.; Luengo, J.; Maillo, J.; García-Gil, D.; García, S.; Herrera, F.

IoTBDS 2019 - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security

  • 2019
  • conference-paper
Big data preprocessing as the bridge between big data and smart data: Bigdapspark and Bigdapflink libraries
AUTHORS: García-Gil, D.; Alcalde-Barros, A.; Luengo, J.; García, S.; Herrera, F.

IoTBDS 2019 - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security

  • 2019
  • conference-paper
Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks
AUTHORS: Gómez-Ríos, A.; Tabik, S.; Luengo, J.; Shihavuddin, A.S.M.; Herrera, F.

Knowledge-Based Systems

  • 2019
  • journal-article
Emerging topics and challenges of learning from noisy data in nonstandard classification: a survey beyond binary class noise
AUTHORS: Prati, R.C.; Luengo, J.; Herrera, F.

Knowledge and Information Systems

  • 2019
  • journal-article
Enabling Smart Data: Noise filtering in Big Data classification

Information Sciences

  • 2019
  • journal-article
From Big to Smart Data: Iterative ensemble filter for noise filtering in Big Data classification

International Journal of Intelligent Systems

  • 2019
  • journal-article
Label noise filtering techniques to improve monotonic classification
AUTHORS: José-Ramón Cano; Julián Luengo; Salvador García

Neurocomputing

  • 2019
  • journal-article
Smartdata: Data preprocessing to achieve smart data in R
AUTHORS: Ignacio Cordón; Julián Luengo; Salvador García; Francisco Herrera; Francisco Charte

Neurocomputing

  • 2019
  • journal-article
Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation
AUTHORS: Anabel Gómez-Ríos; Siham Tabik; Julián Luengo; ASM Shihavuddin; Bartosz Krawczyk; Francisco Herrera

Expert Systems with Applications

  • 2019
  • journal-article
Transforming big data into smart data: An insight on the use of the k-nearest neighbors algorithm to obtain quality data

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

  • 2019
  • journal-article
A first study on the use of noise filtering to clean the bags in multi-instance classification
AUTHORS: Luengo, J.; Prati, R.C.; Sánchez-Tarragó, D.; Herrera, F.

ACM International Conference Proceeding Series

  • 2018
  • conference-paper
A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification
AUTHORS: Maillo, J.; Luengo, J.; García, S.; Herrera, F.; Triguero, I.

IEEE International Conference on Fuzzy Systems

  • 2018
  • conference-paper
CNC-NOS: Class noise cleaning by ensemble filtering and noise scoring
AUTHORS: Luengo, J.; Shim, S.-O.; Alshomrani, S.; Altalhi, A.; Herrera, F.

Knowledge-Based Systems

  • 2018
  • journal-article
Exact fuzzy k-nearest neighbor classification for big datasets
AUTHORS: Maillo, J.; Luengo, J.; García, S.; Herrera, F.; Triguero, I.

IEEE International Conference on Fuzzy Systems

  • 2017
  • conference-paper
From Big Data to Smart Data with the K-Nearest Neighbours Algorithm
AUTHORS: Triguero, I.; Maillo, J.; Luengo, J.; Garcia, S.; Herrera, F.

Proceedings - 2016 IEEE International Conference on Internet of Things; IEEE Green Computing and Communications; IEEE Cyber, Physical, and Social Computing; IEEE Smart Data, iThings-GreenCom-CPSCom-Smart Data 2016

  • 2017
  • conference-paper
The Noise Filters R package: Label noise preprocessing in R
AUTHORS: Morales, P.; Luengo, J.; Garcia, L.P.F.; Lorena, A.C.; de Carvalho, A.C.P.L.F.; Herrera, F.

R Journal

  • 2017
  • journal-article
Evaluating the classifier behavior with noisy data considering performance and robustness: The Equalized Loss of Accuracy measure
AUTHORS: Sáez, J.A.; Luengo, J.; Herrera, F.

Neurocomputing

  • 2016
  • journal-article
INFFC: An iterative class noise filter based on the fusion of classifiers with noise sensitivity control
AUTHORS: Sáez, J.A.; Galar, M.; Luengo, J.; Herrera, F.

Information Fusion

  • 2016
  • journal-article
The influence of noise on the evolutionary fuzzy systems for subgroup discovery

Soft Computing

  • 2016
  • journal-article
Tutorial on practical tips of the most influential data preprocessing algorithms in data mining
AUTHORS: García, S.; Luengo, J.; Herrera, F.

Knowledge-Based Systems

  • 2016
  • journal-article
A data mining software package including data preparation and reduction: Keel
AUTHORS: García, S.; Luengo, J.; Herrera, F.; García, S.; Luengo, J.; Herrera, F.

Intelligent Systems Reference Library

  • 2015
  • journal-article
Data preparation basic models
AUTHORS: García, S.; Luengo, J.; Herrera, F.; García, S.; Luengo, J.; Herrera, F.

Intelligent Systems Reference Library

  • 2015
  • journal-article
Data reduction
AUTHORS: García, S.; Luengo, J.; Herrera, F.; García, S.; Luengo, J.; Herrera, F.

Intelligent Systems Reference Library

  • 2015
  • journal-article
Data sets and proper statistical analysis of data mining techniques
AUTHORS: García, S.; Luengo, J.; Herrera, F.; García, S.; Luengo, J.; Herrera, F.

Intelligent Systems Reference Library

  • 2015
  • journal-article
Dealing with missing values
AUTHORS: García, S.; Luengo, J.; Herrera, F.; García, S.; Luengo, J.; Herrera, F.

Intelligent Systems Reference Library

  • 2015
  • journal-article
Dealing with noisy data
AUTHORS: García, S.; Luengo, J.; Herrera, F.; García, S.; Luengo, J.; Herrera, F.

Intelligent Systems Reference Library

  • 2015
  • journal-article
Discretization
AUTHORS: García, S.; Luengo, J.; Herrera, F.; García, S.; Luengo, J.; Herrera, F.

Intelligent Systems Reference Library

  • 2015
  • journal-article
Feature selection
AUTHORS: García, S.; Luengo, J.; Herrera, F.; García, S.; Luengo, J.; Herrera, F.

Intelligent Systems Reference Library

  • 2015
  • journal-article
Instance selection
AUTHORS: García, S.; Luengo, J.; Herrera, F.; García, S.; Luengo, J.; Herrera, F.

Intelligent Systems Reference Library

  • 2015
  • journal-article
Introduction
AUTHORS: García, S.; Luengo, J.; Herrera, F.; García, S.; Luengo, J.; Herrera, F.

Intelligent Systems Reference Library

  • 2015
  • journal-article
Preface
AUTHORS: García, S.; Luengo, J.; Herrera, F.

Intelligent Systems Reference Library

  • 2015
  • journal-article
SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering
AUTHORS: Sáez, José A.; Luengo, Julián; Stefanowski, Jerzy; Herrera, Francisco

Information Sciences

  • 2015
  • journal-article
Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems
AUTHORS: Garcia, L.P.F.; Sáez, J.A.; Luengo, J.; Lorena, A.C.; De Carvalho, A.C.P.L.F.; Herrera, F.

Knowledge-Based Systems

  • 2015
  • journal-article
Analyzing the presence of noise in multi-class problems: alleviating its influence with the One-vs-One decomposition
AUTHORS: Saez, JA; Galar, M; Luengo, J; Herrera, F

Knowledge and Information Systems

  • 2014
  • journal-article
Improving the Behavior of the Nearest Neighbor Classifier against Noisy Data with Feature Weighting Schemes
AUTHORS: Sáez, JoséA; Derrac, Joaquín; Luengo, Julián; Herrera, Francisco

Hybrid Artificial Intelligence Systems

  • 2014
  • book-chapter
Managing Borderline and Noisy Examples in Imbalanced Classification by Combining SMOTE with Ensemble Filtering
AUTHORS: Sáez, JoséA; Luengo, Julián; Stefanowski, Jerzy; Herrera, Francisco

Intelligent Data Engineering and Automated Learning – IDEAL 2014

  • 2014
  • book-chapter
On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification
AUTHORS: Triguero, I; Saez, JA; Luengo, J; Garcia, S; Herrera, F

Neurocomputing

  • 2014
  • journal-article
Statistical computation of feature weighting schemes through data estimation for nearest neighbor classifiers
AUTHORS: Sáez, José A.; Derrac, Joaquín; Luengo, Julián; Herrera, Francisco

Pattern Recognition

  • 2014
  • journal-article
A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning
AUTHORS: Garcia, S.; Herrera, F.; Lopez, V.; Luengo, J.; Saez, J. A.

IEEE Transactions on Knowledge and Data Engineering

  • 2013
  • journal-article
An automatic extraction method of the domains of competence for learning classifiers using data complexity measures
AUTHORS: Luengo, Julián; Herrera, Francisco

Knowledge and Information Systems

  • 2013
  • journal-article
An Experimental Case of Study on the Behavior of Multiple Classifier Systems with Class Noise Datasets
AUTHORS: Sáez, JoséA; Galar, Mikel; Luengo, Julián; Herrera, Francisco

Hybrid Artificial Intelligent Systems

  • 2013
  • book-chapter
Predicting noise filtering efficacy with data complexity measures for nearest neighbor classification
AUTHORS: Herrera, Francisco; Luengo, Julian; Saez, Jose A.

Pattern Recognition

  • 2013
  • journal-article
Tackling the problem of classification with noisy data using Multiple Classifier Systems: Analysis of the performance and robustness
AUTHORS: Saez, JA; Galar, M; Luengo, J; Herrera, F

Information Sciences

  • 2013
  • journal-article
A First Study on Decomposition Strategies with Data with Class Noise Using Decision Trees
AUTHORS: Saez, Jose A.; Galar, Mikel; Luengo, Julian; Herrera, Francisco; Corchado, E; Snasel, V; Abraham, A; Wozniak, M; Grana, M; Cho, SB

Hybrid Artificial Intelligent Systems, Pt Ii

  • 2012
  • journal-article
A preliminary study on missing data imputation in evolutionary fuzzy systems of subgroup discovery
AUTHORS: Carmona, C. J.; Luengo, J.; Gonzalez, P.; del Jesus, M. J.

Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on

  • 2012
  • conference-paper
A preliminary study onselecting the optimal cut points in discretization by evolutionary algorithms
AUTHORS: García, S.; López, V.; Luengo, J.; Carmona, C.J.; Herrera, F.

ICPRAM 2012 - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods

  • 2012
  • conference-paper
An analysis on the use of pre-processing methods in evolutionary fuzzy systems for subgroup discovery

Expert Systems With Applications

  • 2012
  • journal-article
Missing data imputation for fuzzy rule-based classification systems
AUTHORS: Herrera, Francisco; Luengo, Julian; Saez, Jose A.

Soft Computing

  • 2012
  • journal-article
On the choice of the best imputation methods for missing values considering three groups of classification methods
AUTHORS: Garcia, Salvador; Herrera, Francisco; Luengo, Julian

Knowledge and Information Systems

  • 2012
  • journal-article
Shared domains of competence of approximate learning models using measures of separability of classes
AUTHORS: Luengo, J; Herrera, F

Information Sciences

  • 2012
  • journal-article
Addressing data complexity for imbalanced data sets: Analysis of SMOTE-based oversampling and evolutionary undersampling
AUTHORS: Fernandez, Alberto, Garcia, Salvador, Herrera, Francisco, Luengo, Julian

Soft Computing

  • 2011
  • journal-article
Evolutionary selection of hyperrectangles in nested generalized exemplar learning
AUTHORS: Carmona, Cristobal J., Derrac, Joaquin, Garcia, Salvador, Herrera, Francisco, Luengo, Julian

Applied Soft Computing

  • 2011
  • journal-article
Fuzzy Rule Based Classification Systems versus crisp robust learners trained in presence of class noise’s effects: A case of study
AUTHORS: Saez, J. A.; Luengo, J.; Herrera, F.

Intelligent Systems Design and Applications (ISDA), 2011 11th International Conference on

  • 2011
  • conference-paper
KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework
AUTHORS: Alcala-Fdez, J; Fernandez, A; Luengo, J; Derrac, J; Garcia, S; Sanchez, L; Herrera, F

Journal of Multiple-Valued Logic and Soft Computing

  • 2011
  • journal-article
KEEL data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework
AUTHORS: Alcalá-Fdez, J.; Fernández, A.; Luengo, J.; Derrac, J.; García, S.; Sánchez, L.; Herrera, F.

Journal of Multiple-Valued Logic and Soft Computing

  • 2011
  • journal-article
Using KEEL software as a educational tool: A case of study teaching data mining

Proceedings of the 2011 7th International Conference on Next Generation Web Services Practices, NWeSP 2011

  • 2011
  • conference-paper
A first study on the noise impact in classes for Fuzzy Rule Based Classification Systems
AUTHORS: Saez, J. A.; Luengo, J.; Herrera, F.

Intelligent Systems and Knowledge Engineering (ISKE), 2010 International Conference on

  • 2010
  • conference-paper
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 and Event Covering method
AUTHORS: Garcia, S; Herrera, F; Luengo, J

Neural Networks

  • 2010
  • journal-article
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power
AUTHORS: Fernandez, A, Garcia, S, Herrera, F, Luengo, J

Information Sciences

  • 2010
  • journal-article
An extraction method for the characterization of the fuzzy rule based classification system’s behavior using data complexity measures: A case of study with FH-GBML
AUTHORS: Luengo, J.; Herrera, F.

2010 IEEE World Congress on Computational Intelligence, WCCI 2010

  • 2010
  • conference-paper
An Extraction Method for the Characterization of the Fuzzy Rule Based Classification Systems’ Behavior using Data Complexity Measures: A case of study with FH-GBML
AUTHORS: Luengo, Julian; Herrera, Francisco; IEEE

2010 Ieee International Conference on Fuzzy Systems (Fuzz-Ieee 2010)

  • 2010
  • journal-article
Domains of competence of fuzzy rule based classification systems with data complexity measures: A case of study using a fuzzy hybrid genetic based machine learning method
AUTHORS: Herrera, F; Luengo, J

Fuzzy Sets and Systems

  • 2010
  • journal-article
Genetics-based machine learning for rule induction: State of the art, taxonomy, and comparative study
AUTHORS: Bernado-Mansilla, Ester, Fernandez, Alberto, Garcia, Salvador, Herrera, Francisco, Luengo, Julian

IEEE Transactions on Evolutionary Computation

  • 2010
  • journal-article
A First Approach to Nearest Hyperrectangle Selection by Evolutionary Algorithms
AUTHORS: Garcia, Salvador; Derrac, Joaquin; Luengo, Julian; Herrera, Francisco; IEEE

ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications

  • 2009
  • conference-paper
A study of statistical techniques and performance measures for genetics-based machine learning: Accuracy and interpretability
AUTHORS: Fernandez, A, Garcia, S, Herrera, F, Luengo, J

Soft Computing

  • 2009
  • journal-article
A study on the use of statistical tests for experimentation with neural networks: Analysis of parametric test conditions and non-parametric tests
AUTHORS: Garcia, S; Herrera, F; Luengo, J

Expert Systems with Applications

  • 2009
  • journal-article
Addressing data-complexity for imbalanced data-sets: A preliminary study on the use of preprocessing for C4.5
AUTHORS: Fernandez, Alberto, Garcia, Salvador, Herrera, Francisco, IEEE, Luengo, Julian

2009 9th International Conference on Intelligent Systems Design and Applications

  • 2009
  • conference-paper
Domains of Competence of Artificial Neural Networks Using Measures of Separability of Classes
AUTHORS: Luengo, Julian; Herrera, Francisco; Cabestany, J; Prieto, A; Sandoval, F; Corchado, JM

Bio-Inspired Systems: Computational and Ambient Intelligence, Pt 1

  • 2009
  • journal-article
Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool

Lecture Notes in Computer Science

  • 2009
  • journal-article
Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool
AUTHORS: Fernandez, Alberto; Luengo, Julian; Derrac, Joaquin; Alcala-Fdez, Jesus; Herrera, Francisco; Corchado, E; Yin, H

Intelligent Data Engineering and Automated Learning, Proceedings

  • 2009
  • journal-article
On the use of Measures of Separability of Classes to characterise the Domains of Competence of a Fuzzy Rule Based Classification System
AUTHORS: Luengo, Julian; Herrera, Francisco; Carvalho, JP; Kaymak, DU; Sousa, JMC

Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference

  • 2009
  • journal-article
On the use of measures of separability of classes to characterise the domains of competence of a fuzzy rule based classification system
AUTHORS: Luengo, J.; Herrera, F.

2009 International Fuzzy Systems Association World Congress and 2009 European Society for Fuzzy Logic and Technology Conference, IFSA-EUSFLAT 2009 - Proceedings

  • 2009
  • conference-paper
A study on the use of statistical tests for experimentation with neural networks
AUTHORS: Luengo, Julian; Garcia, Salvador; Herrera, Francisco; Sandoval, F; Prieto, A; Cabestany, J; Grana, M

Computational and Ambient Intelligence

  • 2007
  • book-chapter
Contacto
julianlm@decsai.ugr.es
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