DaSCI
X-twitter Linkedin Instagram Tiktok Facebook Youtube
InicioPersonalDirectorioCoordinación de ÁreasSalvador García López
Ampliar imagen
Coordinador en Ciencia de datos y Big Data

Salvador García López

Coordinación de Áreas, Highly Cited Researcher

Universidad de Granada

Highly Cited Researcher en los años 2014, 2015, 2016, 2017, 2018, 2019 y 2020

Salvador García obtuvo el título de Licenciado y Doctor en Informática por la Universidad de Granada, Granada, España, en 2004 y 2008, respectivamente.

Actualmente es Profesor Titular del Departamento de Ciencias de la Computación e Inteligencia Artificial de la Universidad de Granada. Ha publicado más de 50 artículos en revistas internacionales.  Es coautor del libro titulado Data Preprocessing in Data Mining (Springer).

Data Preprocessing in Data Mining
Data Preprocessing in Data Mining

Sus intereses de investigación actuales incluyen minería de datos, reducción de datos, aprendizaje de datos, aprendizaje semisupervisado, inferencia estadística.

El Dr. García recibió el premio Highly Cited Researcher Award de Thomson Reuters en el campo de la informática en 2014-2018. Actualmente es co-editor jefe de la revista Progress in Artificial Intelligence (Springer) y es editor asociado de revistas como Information Fusion, AI Communications, Swarm y Evolutionary Computation.

Publicaciones

Balancing forecast accuracy and switching costs in online optimization of energy management systems

Expert Systems with Applications

  • 2026
  • journal-article
Determination of the Number of Clusters in High-Dimensional Data With Subspace Clusters

IEEE Transactions on Big Data

  • 2025
  • journal-article
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects

IEEE Transactions on Evolutionary Computation

  • 2025
  • journal-article
Hybrid Gromov–Wasserstein Embedding for Capsule Learning
AUTHORS: Pourya Shamsolmoali; Masoumeh Zareapoor; Swagatam Das; Eric Granger; Salvador García

IEEE Transactions on Neural Networks and Learning Systems

  • 2025
  • journal-article
RSPCA: Random Sample Partition and Clustering Approximation for ensemble learning of big data
AUTHORS: Mohammad Sultan Mahmud; Hua Zheng; Diego Garcia-Gil; Salvador García; Joshua Zhexue Huang

Pattern Recognition

  • 2025
  • journal-article
Fractional Correspondence Framework in Detection Transformer
AUTHORS: Masoumeh Zareapoor; Pourya Shamsolmoali; Huiyu Zhou; Yue Lu; Salvador García
  • 2024
  • conference-paper
Metric learning for monotonic classification: turning the space up to the limits of monotonicity
AUTHORS: Juan Luis Suárez; Germán González-Almagro; Salvador García; Francisco Herrera

Applied Intelligence

  • 2024
  • journal-article
Robust multi-modal pedestrian detection using deep convolutional neural network with ensemble learning model
AUTHORS: Deepak Kumar Jain; Xudong Zhao; Salvador Garcia; Subramani Neelakandan

Expert Systems with Applications

  • 2024
  • journal-article
Video multimodal sentiment analysis using cross-modal feature translation and dynamical propagation
AUTHORS: Chenquan Gan; Yu Tang; Xiang Fu; Qingyi Zhu; Deepak Kumar Jain; Salvador García

Knowledge-Based Systems

  • 2024
  • journal-article
GEN: Generative Equivariant Networks for Diverse Image-to-Image Translation
AUTHORS: Pourya Shamsolmoali; Masoumeh Zareapoor; Swagatam Das; Salvador Garcia; Eric Granger; Jie Yang

IEEE Transactions on Cybernetics

  • 2023
  • journal-article
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization
AUTHORS: Alejandro Rosales-Pérez; Salvador García; Francisco Herrera

IEEE Transactions on Cybernetics

  • 2023
  • journal-article
Speech emotion recognition via multiple fusion under spatial–temporal parallel network
AUTHORS: Chenquan Gan; Kexin Wang; Qingyi Zhu; Yong Xiang; Deepak Kumar Jain; Salvador García

Neurocomputing

  • 2023
  • journal-article
A Preliminary Approach for using Metric Learning in Monotonic Classification
AUTHORS: Juan Luis Suárez; Germán González-Almagro; Salvador García; Francisco Herrera
  • 2022
  • book-chapter
An Indexing Algorithm Based on Clustering of Minutia Cylinder Codes for Fast Latent Fingerprint Identification
AUTHORS: Ismay Perez-Sanchez; Barbara Cervantes; Miguel Angel Medina-Perez; Raul Monroy; Octavio Loyola-Gonzalez; Salvador Garcia; Francisco Herrera

IEEE Access

  • 2021
  • journal-article
Decomposition-Fusion for Label Distribution Learning

Information Fusion

  • 2021
  • journal-article
Distance Metric Learning with Prototype Selection for Imbalanced Classification
AUTHORS: Juan Luis Suárez; Salvador García; Francisco Herrera
  • 2021
  • book-chapter
Neurocomputing guest editorial for the special issue: Advances in deep and shallow machine learning approaches for handling data irregularities

Neurocomputing

  • 2021
  • journal-article
Ordinal regression with explainable distance metric learning based on ordered sequences
AUTHORS: Juan Luis Suárez; Salvador García; Francisco Herrera

Machine Learning

  • 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
A Hybrid Surrogate Model for Evolutionary Undersampling in Imbalanced Classification

2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings

  • 2020
  • conference-paper
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities

Information Fusion

  • 2020
  • journal-article
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations

Cognitive Computation

  • 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
ProLSFEO-LDL: Prototype selection and label- specific feature evolutionary optimization for label distribution learning

Applied Sciences (Switzerland)

  • 2020
  • journal-article
pyDML: A python library for distance metric learning

Journal of Machine Learning Research

  • 2020
  • journal-article
Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review

Swarm and Evolutionary Computation

  • 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
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
A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations
AUTHORS: Charte, D.; Charte, F.; García, S.; Herrera, F.

Progress in Artificial Intelligence

  • 2019
  • journal-article
Adaptive cooperation of multi-swarm particle swarm optimizer-based hidden Markov model

Progress in Artificial Intelligence

  • 2019
  • journal-article
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
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
Chain based sampling for monotonic imbalanced classification

Information Sciences

  • 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
Instance reduction for one-class classification

Knowledge and Information Systems

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

Neurocomputing

  • 2019
  • journal-article
Monotonic classification: An overview on algorithms, performance measures and data sets

Neurocomputing

  • 2019
  • journal-article
OCAPIS: R package for Ordinal Classification and Preprocessing in Scala

Progress in Artificial Intelligence

  • 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
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 distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark
AUTHORS: Ramírez-Gallego, S.; García, S.; Benítez, J.M.; Herrera, F.

Swarm and Evolutionary Computation

  • 2018
  • journal-article
A first attempt on monotonic training set selection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  • 2018
  • journal-article
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines
AUTHORS: Charte, D.; Charte, F.; García, S.; del Jesus, M.J.; Herrera, F.

Information Fusion

  • 2018
  • journal-article
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
Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce

Information Fusion

  • 2018
  • journal-article
Cooperative multi-objective evolutionary support vector machines for multiclass problems

GECCO 2018 - Proceedings of the 2018 Genetic and Evolutionary Computation Conference

  • 2018
  • conference-paper
DRCW-ASEG: One-versus-One distance-based relative competence weighting with adaptive synthetic example generation for multi-class imbalanced datasets

Neurocomputing

  • 2018
  • journal-article
Dynamic ensemble selection for multi-class imbalanced datasets

Information Sciences

  • 2018
  • journal-article
Imbalance: Oversampling algorithms for imbalanced classification in R

Knowledge-Based Systems

  • 2018
  • journal-article
MC2ESVM: Multiclass Classification Based on Cooperative Evolution of Support Vector Machines

IEEE Computational Intelligence Magazine

  • 2018
  • journal-article
On the use of convolutional neural networks for robust classification of multiple fingerprint captures
AUTHORS: Peralta, D.; Triguero, I.; García, S.; Saeys, Y.; Benitez, J.M.; Herrera, F.

International Journal of Intelligent Systems

  • 2018
  • journal-article
On the use of random discretization and dimensionality reduction in ensembles for big data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  • 2018
  • journal-article
Online entropy-based discretization for data streaming classification

Future Generation Computer Systems

  • 2018
  • journal-article
Principal Components Analysis Random Discretization Ensemble for Big Data

Knowledge-Based Systems

  • 2018
  • journal-article
Self inertia weight adaptation for the particle swarm optimization

ACM International Conference Proceeding Series

  • 2018
  • conference-paper
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

Journal of Artificial Intelligence Research

  • 2018
  • journal-article
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
AUTHORS: Fernández, A.; García, S.; Herrera, F.; Chawla, N.V.

Journal of Artificial Intelligence Research

  • 2018
  • journal-article
A survey on data preprocessing for data stream mining: Current status and future directions

Neurocomputing

  • 2017
  • journal-article
An evolutionary multiobjective model and instance selection for support vector machines with pareto-based ensembles

IEEE Transactions on Evolutionary Computation

  • 2017
  • journal-article
Class Switching according to Nearest Enemy Distance for learning from highly imbalanced data-sets

Pattern Recognition

  • 2017
  • journal-article
CommuniMents: A framework for detecting community based sentiments for events

International Journal on Semantic Web and Information Systems

  • 2017
  • journal-article
Cost-Sensitive back-propagation neural networks with binarization techniques in addressing multi-class problems and non-competent classifiers

Applied Soft Computing Journal

  • 2017
  • journal-article
Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection
AUTHORS: Peralta, D.; Triguero, I.; García, S.; Saeys, Y.; Benitez, J.M.; Herrera, F.

Knowledge-Based Systems

  • 2017
  • journal-article
Evolutionary Fuzzy Rule-Based Methods for Monotonic Classification

Ieee Transactions on Fuzzy Systems

  • 2017
  • 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
Exploring the effectiveness of dynamic ensemble selection in the one-versus-one scheme

Knowledge-Based Systems

  • 2017
  • journal-article
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
Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks
AUTHORS: Peralta, D.; García, S.; Benitez, J.M.; Herrera, F.

Information Sciences

  • 2017
  • journal-article
MoNGEL: monotonic nested generalized exemplar learning

Pattern Analysis and Applications

  • 2017
  • journal-article
Nearest neighbor classification for high-speed big data streams using spark
AUTHORS: Ramírez-Gallego, S.; Krawczyk, B.; García, S.; Wózniak, M.; Benítez, J.M.; Herrera, F.

IEEE Transactions on Systems, Man, and Cybernetics: Systems

  • 2017
  • journal-article
Prototype selection to improve monotonic nearest neighbor

Engineering Applications of Artificial Intelligence

  • 2017
  • journal-article
rNPBST: An r package covering non-parametric and bayesian statistical tests

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  • 2017
  • journal-article
Training set selection for monotonic ordinal classification

Data and Knowledge Engineering

  • 2017
  • journal-article
A nearest hyperrectangle monotonic learning method

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  • 2016
  • journal-article
Current prospects on ordinal and monotonic classification

Progress in Artificial Intelligence

  • 2016
  • journal-article
Data discretization: Taxonomy and big data challenge
AUTHORS: Ramírez-Gallego, S.; García, S.; Mouriño-Talín, H.; Martínez-Rego, D.; Bolón-Canedo, V.; Alonso-Betanzos, A.; Benítez, J.M.; Herrera, F.

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery

  • 2016
  • journal-article
DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases
AUTHORS: Peralta, D.; Triguero, I.; García, S.; Herrera, F.; Benitez, J.M.

Information Fusion

  • 2016
  • journal-article
Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data

Knowledge-Based Systems

  • 2016
  • journal-article
Evolutionary fuzzy k-nearest neighbors algorithm using interval-valued fuzzy sets
AUTHORS: Derrac, Joaquin; Chiclana, Francisco; Garcia, Salvador; Herrera, Francisco

Information Sciences

  • 2016
  • journal-article
Hyperrectangles Selection for Monotonic Classification by Using Evolutionary Algorithms

International Journal of Computational Intelligence Systems

  • 2016
  • journal-article
Managing monotonicity in classification by a pruned adaboost

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  • 2016
  • journal-article
Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification
AUTHORS: Ramírez-Gallego, S.; García, S.; Benítez, J.M.; Herrera, F.

IEEE Transactions on Cybernetics

  • 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
A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models
AUTHORS: Galar, M.; Derrac, J.; Peralta, D.; Triguero, I.; Paternain, D.; Lopez-Molina, C.; García, S.; Benítez, J.M.; Pagola, M.; Barrenechea, E.; Bustince, H.; Herrera, F.

Knowledge-Based Systems

  • 2015
  • journal-article
A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal
AUTHORS: Galar, M.; Derrac, J.; Peralta, D.; Triguero, I.; Paternain, D.; Lopez-Molina, C.; García, S.; Benítez, J.M.; Pagola, M.; Barrenechea, E.; Bustince, H.; Herrera, F.

Knowledge-Based Systems

  • 2015
  • journal-article
A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation
AUTHORS: Peralta, D.; Galar, M.; Triguero, I.; Paternain, D.; García, S.; Barrenechea, E.; Benítez, J.M.; Bustince, H.; Herrera, F.

Information Sciences

  • 2015
  • journal-article
An Interval Valued K-Nearest Neighbors Classifier
AUTHORS: Derrac, Joaquin; Chiclana, Francisco; Garcia, Salvador; Herrera, Francisco

Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

  • 2015
  • book-chapter
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 Preprocessing in Data Mining

Intelligent Systems Reference Library

  • 2015
  • journal-article
Data Preprocessing in Data Mining Preface
AUTHORS: Garcia, Salvador; Luengo, Julian; Herrera, Francisco

Data Preprocessing in Data Mining

  • 2015
  • book-chapter
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
Distributed Entropy Minimization Discretizer for Big Data Analysis under Apache Spark
AUTHORS: Ramirez-Gallego, S.; Garcia, S.; Mourino-Talin, H.; Martinez-Rego, D.; Bolon-Canedo, V.; Alonso-Betanzos, A.; Benitez, J.M.; Herrera, F.

Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015

  • 2015
  • conference-paper
Evolutionary wrapper approaches for training set selection as preprocessing mechanism for support vector machines: Experimental evaluation and support vector analysis

Applied Soft Computing Journal

  • 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
Managing monotonicity in classification by a pruned random forest

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  • 2015
  • journal-article
Monotonic Random Forest with an Ensemble Pruning Mechanism based on the Degree of Monotonicity

New Generation Computing

  • 2015
  • journal-article
MRPR: A MapReduce solution for prototype reduction in big data classification

Neurocomputing

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

Intelligent Systems Reference Library

  • 2015
  • journal-article
SEG-SSC: A Framework Based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification

IEEE Transactions on Cybernetics

  • 2015
  • journal-article
Self-labeled techniques for semi-supervised learning: Taxonomy, software and empirical study

Knowledge and Information Systems

  • 2015
  • journal-article
A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation

Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014

  • 2014
  • conference-paper
A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification

Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014

  • 2014
  • conference-paper
Addressing imbalanced classification with instance generation techniques: IPADE-ID

Neurocomputing

  • 2014
  • journal-article
Analyzing convergence performance of evolutionary algorithms: A statistical approach

Information Sciences

  • 2014
  • journal-article
Fuzzy nearest neighbor algorithms: Taxonomy, experimental analysis and prospects

Information Sciences

  • 2014
  • journal-article
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
On the statistical analysis of the parameters’ trend in a machine learning algorithm

Progress in Artificial Intelligence

  • 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 insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics

Information Sciences

  • 2013
  • journal-article
On the use of evolutionary feature selection for improving fuzzy rough set based prototype selection
AUTHORS: Cornelis, C.; Derrac, J.; Garcia, S.; Herrera, F.; Verbiest, N.

Soft Computing

  • 2013
  • journal-article
Statistical analysis of convergence performance throughout the evolutionary search: A case study with SaDE-MMTS and Sa-EPSDE-MMTS

Proceedings of the 2013 IEEE Symposium on Differential Evolution, SDE 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

  • 2013
  • conference-paper
A Co-evolutionary Framework for Nearest Neighbor Enhancement: Combining Instance and Feature Weighting with Instance Selection
AUTHORS: Derrac, Joaquin; Triguero, Isaac; Garcia, Salvador; Herrera, Francisco

Hybrid Artificial Intelligent Systems, Pt Ii

  • 2012
  • book-chapter
A co-evolutionary framework for nearest neighbor enhancement: Combining instance and feature weighting with instance selection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  • 2012
  • journal-article
A preliminary study onselecting the optimal cut points in discretization by evolutionary algorithms

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

  • 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
A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification
AUTHORS: Derrac, Joaquin; Garcia, Salvador; Herrera, Francisco; Triguero, Isaac

IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews

  • 2012
  • journal-article
Enhancing evolutionary instance selection algorithms by means of fuzzy rough set based feature selection
AUTHORS: Cornelis, Chris; Derrac, Joaquin; Garcia, Salvador; Herrera, Francisco

Information Sciences

  • 2012
  • journal-article
Evolutionary-based selection of generalized instances for imbalanced classification
AUTHORS: Carmona, Cristobal J., Derrac, Joaquin, Garcia, Salvador, Herrera, Francisco, Triguero, Isaac

Knowledge-Based Systems

  • 2012
  • journal-article
Integrating a differential evolution feature weighting scheme into prototype generation
AUTHORS: Derrac, Joaquin; Garcia, Salvador; Herrera, Francisco; Triguero, Isaac

Neurocomputing

  • 2012
  • journal-article
Integrating Instance Selection, Instance Weighting, and Feature Weighting for Nearest Neighbor Classifiers by Coevolutionary Algorithms
AUTHORS: Derrac, Joaquin; Garcia, Salvador; Herrera, Francisco; Triguero, Isaac

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

  • 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
Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study
AUTHORS: Derrac, Joaquin; Garcia, Salvador; Herrera, Francisco; Ramon Cano, Jose

IEEE Transactions on Pattern Analysis and Machine Intelligence

  • 2012
  • journal-article
Subgroup discovery applied to the e-commerce website OrOliveSur.com

ICEIS 2012 - Proceedings of the 14th International Conference on Enterprise Information Systems

  • 2012
  • conference-paper
Subgroup discovery applied to the e-commerce website OrOliveSur.com
AUTHORS: Carmona, C.J.; Ramírez-Gallego, S.; Torres, F.; Bernal, E.; Del Jesus, M.J.; García, S.

ICEIS 2012 - Proceedings of the 14th International Conference on Enterprise Information Systems

  • 2012
  • conference-paper
Web usage mining to improve the design of an e-commerce website: OrOliveSur.com

Expert Systems With Applications

  • 2012
  • journal-article
A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

Swarm and Evolutionary Computation

  • 2011
  • journal-article
A preliminary study on the use of fuzzy rough set based feature selection for improving evolutionary instance selection algorithms
AUTHORS: Derrac, J.; Cornelis, C.; García, S.; Herrera, F.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  • 2011
  • conference-paper
A study of the scaling up capabilities of stratified prototype generation
AUTHORS: Triguero, I.; Derrac, J.; Herrera, F.; García, S.

Proceedings of the 2011 3rd World Congress on Nature and Biologically Inspired Computing, NaBIC 2011

  • 2011
  • conference-paper
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
Addressing the Classification with Imbalanced Data: Open Problems and New Challenges on Class Distribution
AUTHORS: Fernandez, A.; Garcia, S.; Herrera, F.

Hybrid Artificial Intelligent Systems, Part I

  • 2011
  • book-chapter
Addressing the classification with imbalanced data: Open problems and new challenges on class distribution

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  • 2011
  • journal-article
Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification
AUTHORS: Garcia, Salvador; Herrera, Francisco; Triguero, Isaac

Pattern Recognition

  • 2011
  • journal-article
Enhancing IPADE Algorithm with a Different Individual Codification
AUTHORS: Triguero, Isaac; Garcia, Salvador; Herrera, Francisco

Hybrid Artificial Intelligent Systems, Part Ii

  • 2011
  • book-chapter
Enhancing IPADE algorithm with a different individual codification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  • 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
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

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 preliminary study on the use of differential evolution for adjusting the position of examples in nearest neighbor classification

2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010

  • 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
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
IFS-CoCo in the Landscape Contest: Description and Results
AUTHORS: Derrac, Joaquin; Garcia, Salvador; Herrera, Francisco

Recognizing Patterns in Signals, Speech, Images, and Videos

  • 2010
  • book-chapter
IFS-CoCo in the landscape contest: Description and results

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  • 2010
  • journal-article
IFS-CoCo: Instance and feature selection based on cooperative coevolution with nearest neighbor rule
AUTHORS: Derrac, J; Garcia, S; Herrera, F

Pattern Recognition

  • 2010
  • journal-article
IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification
AUTHORS: Garcia, Salvador; Herrera, Francisco; Triguero, Isaac

IEEE Transactions on Neural Networks

  • 2010
  • journal-article
Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification
AUTHORS: Garcia, Salvador; Derrac, Joaquin; Triguero, Isaac; Carmona, Cristobal; Herrera, Francisco

Trends in Applied Intelligent Systems, Pt I, Proceedings

  • 2010
  • book-chapter
Stratified prototype selection based on a steady-state memetic algorithm: A study of scalability

Memetic Computing

  • 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 First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection
AUTHORS: Derrac, Joaquin; Garcia, Salvador; Herrera, Francisco

Hybrid Artificial Intelligence Systems

  • 2009
  • book-chapter
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 non-parametric tests for analyzing the evolutionary algorithms’ behaviour: A case study on the CEC’2005 Special Session on Real Parameter Optimization
AUTHORS: Garcia, S, Herrera, F, Lozano, M, Molina, D

Journal of Heuristics

  • 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
DIAGNOSE EFFECTIVE EVOLUTIONARY PROTOTYPE SELECTION USING AN OVERLAPPING MEASURE
AUTHORS: Bernado-Mansilla, E; Cano, JR; Garcia, S; Herrera, F

International Journal of Pattern Recognition and Artificial Intelligence

  • 2009
  • journal-article
Enhancing the effectiveness and interpretability of decision tree and rule induction classifiers with evolutionary training set selection over imbalanced problems
AUTHORS: Fernandez, A, Garcia, S, Herrera, F

Applied Soft Computing

  • 2009
  • journal-article
Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposals and Taxonomy
AUTHORS: Garcia, Salvador; Herrera, Francisco

Evolutionary Computation

  • 2009
  • journal-article
KEEL: a software tool to assess evolutionary algorithms for data mining problems
AUTHORS: Alcala-Fdez, J, Bacardit, J, Fernandez, JC, Garcia, S, Garrell, JM, Herrera, F, Otero, J, Rivas, VM, Romero, C, Sanchez, L, Ventura, S, del Jesus, MJ

Soft Computing

  • 2009
  • journal-article
A memetic algorithm for evolutionary prototype selection: A scaling up approach
AUTHORS: Cano, JR; Garcia, S; Herrera, F

Pattern Recognition

  • 2008
  • journal-article
A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets
AUTHORS: Fernandez, A, Garcia, S, Herrera, F, del Jesus, MJ

Fuzzy Sets and Systems

  • 2008
  • journal-article
An Extension on «Statistical Comparisons of Classifiers over Multiple Data Sets» for all Pairwise Comparisons
AUTHORS: Garcia, Salvador; Herrera, Francisco

Journal of Machine Learning Research

  • 2008
  • journal-article
An extension on «statistical comparisons of classifiers over multiple data sets» for all pairwise comparisons

Journal of Machine Learning Research

  • 2008
  • journal-article
An extension on «statistical comparisons of classifiers over multiple data sets» for all pairwise comparisons
AUTHORS: García, S.; Herrera, F.

Journal of Machine Learning Research

  • 2008
  • journal-article
Design of Experiments in Computational Intelligence: On the Use of Statistical Inference
AUTHORS: Garcia, Salvador; Herrera, Francisco

Hybrid Artificial Intelligence Systems

  • 2008
  • book-chapter
Making CN2-SD subgroup discovery algorithm scalable to large size data sets using instance selection
AUTHORS: Cano, JR; Garcia, S; Herrera, F; Lozano, M

Expert Systems with Applications

  • 2008
  • journal-article
Subgroup discover in large size data sets preprocessed using stratified instance selection for increasing the presence of minority classes
AUTHORS: Cano, JR; Garcia, S; Herrera, F

Pattern Recognition Letters

  • 2008
  • journal-article
A study on the use of statistical tests for experimentation with neural networks
AUTHORS: Luengo, Julian; Garcia, Salvador; Herrera, Francisco

Computational and Ambient Intelligence

  • 2007
  • book-chapter
A study on the use of the fuzzy reasoning method based on the winning rule vs. voting procedure for classification with imbalanced data sets
AUTHORS: Fernandez, Alberto; Garcia, Salvador; Jos del Jesus, Maria; Herrera, Francisco

Computational and Ambient Intelligence

  • 2007
  • book-chapter
An analysis of the rule weights and fuzzy reasoning methods for linguistic rule based classification systems applied to problems with highly imbalanced data sets
AUTHORS: Fernandez, Alberto; Garcia, Salvador; Herrera, Francisco; del Jesus, Maria Jose

Applications of Fuzzy Sets Theory

  • 2007
  • book-chapter
A proposal of evolutionary prototype selection for class imbalance problems
AUTHORS: Garcia, Salvador; Cano, Jose Ramon; Fernandez, Alberto; Herrera, Francisco

Intelligent Data Engineering and Automated Learning - Ideal 2006, Proceedings

  • 2006
  • book-chapter
Incorporating knowledge in evolutionary prototype selection
AUTHORS: Garcia, Salvador; Ramon Cano, Jose; Herrera, Francisco

Intelligent Data Engineering and Automated Learning - Ideal 2006, Proceedings

  • 2006
  • book-chapter
Contacto
salvagl@decsai.ugr.es
Google Scholar
ORCID
R.ID