Salvador García
Orcid: 0000-0003-4494-7565Affiliations:
- University of Granada, Department of Computer Science and Artificial Intelligence, Spain (PhD 2008)
- University of Jaén, Department of Computer Science, Spain (former)
According to our database1,
Salvador García
authored at least 185 papers
between 2000 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Semi-supervised clustering with two types of background knowledge: Fusing pairwise constraints and monotonicity constraints.
Inf. Fusion, February, 2024
Enhancing microblog sentiment analysis through multi-level feature interaction fusion with social relationship guidance.
Appl. Intell., January, 2024
2023
Speech emotion recognition via multiple fusion under spatial-temporal parallel network.
Neurocomputing, October, 2023
IEEE Trans. Cybern., 2023
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization.
IEEE Trans. Cybern., 2023
Semi-Supervised Constrained Clustering: An In-Depth Overview, Ranked Taxonomy and Future Research Directions.
CoRR, 2023
2022
Neurocomputing, 2022
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022
Adapting K-Means Algorithm for Pair-Wise Constrained Clustering of Imbalanced Data Streams.
Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022
2021
ME-MEOA/DCC: Multiobjective constrained clustering through decomposition-based memetic elitism.
Swarm Evol. Comput., 2021
SoftwareX, 2021
Ordinal regression with explainable distance metric learning based on ordered sequences.
Mach. Learn., 2021
Inf. Sci., 2021
A tutorial on distance metric learning: Mathematical foundations, algorithms, experimental analysis, prospects and challenges.
Neurocomputing, 2021
Fuzzy <i>k</i>-nearest neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise.
Neurocomputing, 2021
Neurocomputing guest editorial for the special issue: Advances in deep and shallow machine learning approaches for handling data irregularities.
Neurocomputing, 2021
EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification.
Appl. Soft Comput., 2021
Appl. Soft Comput., 2021
An Indexing Algorithm Based on Clustering of Minutia Cylinder Codes for Fast Latent Fingerprint Identification.
IEEE Access, 2021
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021
Ordinal Regression with Explainable Distance Metric Learning Based on Ordered Sequences: Extended Abstract.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021
2020
Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data.
IEEE Trans. Fuzzy Syst., 2020
Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review.
Swarm Evol. Comput., 2020
Preprocessing methodology for time series: An industrial world application case study.
Inf. Sci., 2020
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities.
Inf. Fusion, 2020
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI.
Inf. Fusion, 2020
Fuzzy k-Nearest Neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise.
CoRR, 2020
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations.
CoRR, 2020
Comput. Oper. Res., 2020
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations.
Cogn. Comput., 2020
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020
Improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
A Hybrid Surrogate Model for Evolutionary Undersampling in Imbalanced Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Transforming big data into smart data: An insight on the use of the k-nearest neighbors algorithm to obtain quality data.
WIREs Data Mining Knowl. Discov., 2019
Prog. Artif. Intell., 2019
A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations.
Prog. Artif. Intell., 2019
Adaptive cooperation of multi-swarm particle swarm optimizer-based hidden Markov model.
Prog. Artif. Intell., 2019
Neurocomputing, 2019
Neurocomputing, 2019
Monotonic classification: An overview on algorithms, performance measures and data sets.
Neurocomputing, 2019
From Big to Smart Data: Iterative ensemble filter for noise filtering in Big Data classification.
Int. J. Intell. Syst., 2019
Proceedings of the 4th International Conference on Internet of Things, 2019
Big Data Preprocessing as the Bridge between Big Data and Smart Data: BigDaPSpark and BigDaPFlink Libraries.
Proceedings of the 4th International Conference on Internet of Things, 2019
2018
A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark.
Swarm Evol. Comput., 2018
Knowl. Based Syst., 2018
Knowl. Based Syst., 2018
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary.
J. Artif. Intell. Res., 2018
Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce.
Inf. Fusion, 2018
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines.
Inf. Fusion, 2018
DRCW-ASEG: One-versus-One distance-based relative competence weighting with adaptive synthetic example generation for multi-class imbalanced datasets.
Neurocomputing, 2018
On the use of convolutional neural networks for robust classification of multiple fingerprint captures.
Int. J. Intell. Syst., 2018
Future Gener. Comput. Syst., 2018
A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms and Software.
CoRR, 2018
A snapshot on nonstandard supervised learning problems: taxonomy, relationships and methods.
CoRR, 2018
CoRR, 2018
MC2ESVM: Multiclass Classification Based on Cooperative Evolution of Support Vector Machines.
IEEE Comput. Intell. Mag., 2018
Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, 2018
On the Use of Random Discretization and Dimensionality Reduction in Ensembles for Big Data.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018
Cooperative multi-objective evolutionary support vector machines for multiclass problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018
2017
IEEE Trans. Syst. Man Cybern. Syst., 2017
IEEE Trans. Fuzzy Syst., 2017
An Evolutionary Multiobjective Model and Instance Selection for Support Vector Machines With Pareto-Based Ensembles.
IEEE Trans. Evol. Comput., 2017
Class Switching according to Nearest Enemy Distance for learning from highly imbalanced data-sets.
Pattern Recognit., 2017
Exploring the effectiveness of dynamic ensemble selection in the one-versus-one scheme.
Knowl. Based Syst., 2017
Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection.
Knowl. Based Syst., 2017
Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks.
Inf. Sci., 2017
Int. J. Semantic Web Inf. Syst., 2017
A survey on data preprocessing for data stream mining: Current status and future directions.
Neurocomputing, 2017
Int. J. Comput. Intell. Syst., 2017
Eng. Appl. Artif. Intell., 2017
Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints.
CoRR, 2017
Cost-Sensitive back-propagation neural networks with binarization techniques in addressing multi-class problems and non-competent classifiers.
Appl. Soft Comput., 2017
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
2016
WIREs Data Mining Knowl. Discov., 2016
Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification.
IEEE Trans. Cybern., 2016
Prog. Artif. Intell., 2016
Multim. Tools Appl., 2016
Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data.
Knowl. Based Syst., 2016
Tutorial on practical tips of the most influential data preprocessing algorithms in data mining.
Knowl. Based Syst., 2016
Inf. Sci., 2016
DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases.
Inf. Fusion, 2016
Hyperrectangles Selection for Monotonic Classification by Using Evolutionary Algorithms.
Int. J. Comput. Intell. Syst., 2016
Evolutionary wrapper approaches for training set selection as preprocessing mechanism for support vector machines: Experimental evaluation and support vector analysis.
Appl. Soft Comput., 2016
Proceedings of the 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2016
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
2015
Intelligent Systems Reference Library 72, Springer, ISBN: 978-3-319-10247-4, 2015
SEG-SSC: A Framework Based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification.
IEEE Trans. Cybern., 2015
Monotonic Random Forest with an Ensemble Pruning Mechanism based on the Degree of Monotonicity.
New Gener. Comput., 2015
A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal.
Knowl. Based Syst., 2015
A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models.
Knowl. Based Syst., 2015
Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study.
Knowl. Inf. Syst., 2015
A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation.
Inf. Sci., 2015
Neurocomputing, 2015
Distributed Entropy Minimization Discretizer for Big Data Analysis under Apache Spark.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015
An Interval Valued K-Nearest Neighbors Classifier.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015
A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees.
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015
2014
On the statistical analysis of the parameters' trend in a machine learning algorithm.
Prog. Artif. Intell., 2014
Analyzing convergence performance of evolutionary algorithms: A statistical approach.
Inf. Sci., 2014
Inf. Sci., 2014
On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification.
Neurocomputing, 2014
Neurocomputing, 2014
A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning.
IEEE Trans. Knowl. Data Eng., 2013
On the use of evolutionary feature selection for improving fuzzy rough set based prototype selection.
Soft Comput., 2013
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics.
Inf. Sci., 2013
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, 2013
2012
A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification.
IEEE Trans. Syst. Man Cybern. Part C, 2012
Integrating Instance Selection, Instance Weighting, and Feature Weighting for Nearest Neighbor Classifiers by Coevolutionary Algorithms.
IEEE Trans. Syst. Man Cybern. Part B, 2012
Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study.
IEEE Trans. Pattern Anal. Mach. Intell., 2012
Knowl. Based Syst., 2012
On the choice of the best imputation methods for missing values considering three groups of classification methods.
Knowl. Inf. Syst., 2012
Enhancing evolutionary instance selection algorithms by means of fuzzy rough set based feature selection.
Inf. Sci., 2012
Integrating a differential evolution feature weighting scheme into prototype generation.
Neurocomputing, 2012
Expert Syst. Appl., 2012
A Preliminary Study on Selecting the Optimal Cut Points in Discretization by Evolutionary Algorithms.
Proceedings of the ICPRAM 2012, 2012
Subgroup Discovery Applied to the e-Commerce Website OrOliveSur.com.
Proceedings of the ICEIS 2012 - Proceedings of the 14th International Conference on Enterprise Information Systems, Volume 2, Wroclaw, Poland, 28 June, 2012
A Co-evolutionary Framework for Nearest Neighbor Enhancement: Combining Instance and Feature Weighting with Instance Selection.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
2011
A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms.
Swarm Evol. Comput., 2011
Addressing data complexity for imbalanced data sets: analysis of SMOTE-based oversampling and evolutionary undersampling.
Soft Comput., 2011
Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification.
Pattern Recognit., 2011
KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework.
J. Multiple Valued Log. Soft Comput., 2011
Appl. Soft Comput., 2011
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011
A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorithms.
Proceedings of the Advances in Computational Intelligence, 2011
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011
Addressing the Classification with Imbalanced Data: Open Problems and New Challenges on Class Distribution.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011
2010
IEEE Trans. Neural Networks, 2010
Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy, and Comparative Study.
IEEE Trans. Evol. Comput., 2010
IFS-CoCo: Instance and feature selection based on cooperative coevolution with nearest neighbor rule.
Pattern Recognit., 2010
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 EventCovering method.
Neural Networks, 2010
Stratified prototype selection based on a steady-state memetic algorithm: a study of scalability.
Memetic Comput., 2010
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power.
Inf. Sci., 2010
Int. J. Appl. Metaheuristic Comput., 2010
A Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification.
Proceedings of the Trends in Applied Intelligent Systems, 2010
Proceedings of the Recognizing Patterns in Signals, Speech, Images and Videos, 2010
A preliminary study on the use of differential evolution for adjusting the position of examples in nearest neighbor classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Proceedings of the Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications, 2010
2009
A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability.
Soft Comput., 2009
Soft Comput., 2009
Int. J. Pattern Recognit. Artif. Intell., 2009
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.
J. Heuristics, 2009
A study on the use of statistical tests for experimentation with neural networks: Analysis of parametric test conditions and non-parametric tests.
Expert Syst. Appl., 2009
Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposals and Taxonomy.
Evol. Comput., 2009
Enhancing the effectiveness and interpretability of decision tree and rule induction classifiers with evolutionary training set selection over imbalanced problems.
Appl. Soft Comput., 2009
Addressing Data-Complexity for Imbalanced Data-Sets: A Preliminary Study on the Use of Preprocessing for C4.5.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009
2008
Subgroup discover in large size data sets preprocessed using stratified instance selection for increasing the presence of minority classes.
Pattern Recognit. Lett., 2008
Pattern Recognit., 2008
A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets.
Fuzzy Sets Syst., 2008
Making CN2-SD subgroup discovery algorithm scalable to large size data sets using instance selection.
Expert Syst. Appl., 2008
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
Design of Experiments in Computational Intelligence: On the Use of Statistical Inference.
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008
Proceedings of the 3rd International Workshop on Genetic and Evolving Systems, 2008
2007
An Analysis of the Rule Weights and Fuzzy Reasoning Methods for Linguistic Rule Based Classification Systems Applied to Problems with Highly Imbalanced Data Sets.
Proceedings of the Applications of Fuzzy Sets Theory, 2007
Proceedings of the Computational and Ambient Intelligence, 2007
A Study on the Use of the Fuzzy Reasoning Method Based on the Winning Rule vs. Voting Procedure for Classification with Imbalanced Data Sets.
Proceedings of the Computational and Ambient Intelligence, 2007
2006
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
2000
Proceedings of the 1st International Symposium on Non-Photorealistic Animation and Rendering, 2000