Salvador García

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 111

Top Venues

Publications

Mohammad Sultan Mahmud, Joshua Zhexue Huang, Salvador García
Clustering approximation via a fusion of multiple random samples. Inf. Fusion 101 (2024)
Behrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, Leyla Aghaei, Seyedali Mirjalili, Abbas Khosravi, Salvador García, Fakhri Karray, U. Rajendra Acharya
Improved binary differential evolution with dimensionality reduction mechanism and binary stochastic search for feature selection. Appl. Soft Comput. 151 (2024)
Xiaoxuan Zhang, Quan Pan, Salvador García
Multisource Semisupervised Adversarial Domain Generalization Network for Cross-Scene Sea\textendash Land Clutter Classification. CoRR (2024)
Massimo Salvi, Hui Wen Loh, Silvia Seoni, Prabal Datta Barua, Salvador García, Filippo Molinari, U. Rajendra Acharya
Multi-modality approaches for medical support systems: A systematic review of the last decade. Inf. Fusion 103 (2024)
Silvia Seoni, Filippo Molinari, U. Rajendra Acharya, Shu Lih Oh, Prabal Datta Barua, Salvador García, Massimo Salvi
Application of spatial uncertainty predictor in CNN-BiLSTM model using coronary artery disease ECG signals. Inf. Sci. 665 (2024)
Moloud Abdar, Arash Mehrzadi, Milad Goudarzi, Farzad Masoudkabir, Leonardo Rundo, Mohammad Mamouei, Evis Sala, Abbas Khosravi, Vladimir Makarenkov, U. Rajendra Acharya, Seyedmohammad Saadatagah, Mohammadreza Naderian, Salvador García, Nizal Sarrafzadegan, Saeid Nahavandi
Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm. Inf. Fusion 97 (2023)
Chongsheng Zhang, Paolo Soda, Jingjun Bi, Gaojuan Fan, George Almpanidis, Salvador García, Weiping Ding
Correction to: An empirical study on the joint impact of feature selection and data resampling on imbalance classification. Appl. Intell. 53 (7) (2023)
Shu Lih Oh, V. Jahmunah, Elizabeth Emma Palmer, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Salvador García, Filippo Molinari, U. Rajendra Acharya
EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient population. Comput. Biol. Medicine 164 (2023)
Rakshitha Godahewa, Christoph Bergmeir, Zeynep Erkin Baz, Chengjun Zhu, Zhangdi Song, Salvador García, Dario Benavides
On Forecast Stability. CoRR (2023)
Chongsheng Zhang, Paolo Soda, Jingjun Bi, Gaojuan Fan, George Almpanidis, Salvador García, Weiping Ding
An empirical study on the joint impact of feature selection and data resampling on imbalance classification. Appl. Intell. 53 (5) (2023)
Manuel González, Julián Luengo, José Ramón Cano, Salvador García
Synthetic Sample Generation for Label Distribution Learning. Inf. Sci. 544 (2021)
Juan-Luis Suárez, Salvador García, Francisco Herrera
Ordinal Regression with Explainable Distance Metric Learning Based on Ordered Sequences: Extended Abstract. DSAA (2021)
David López, Sergio Ramírez-Gallego, Salvador García, Ning Xiong, Francisco Herrera
BELIEF: A distance-based redundancy-proof feature selection method for Big Data. Inf. Sci. 558 (2021)
Manuel González, Germán González-Almagro, Isaac Triguero, José Ramón Cano, Salvador García
Decomposition-Fusion for Label Distribution Learning. Inf. Fusion 66 (2021)
Juan-Luis Suárez, Salvador García, Francisco Herrera
A tutorial on distance metric learning: Mathematical foundations, algorithms, experimental analysis, prospects and challenges. Neurocomputing 425 (2021)
Swagatam Das, Salvador García, Isaac Triguero
Neurocomputing guest editorial for the special issue: Advances in deep and shallow machine learning approaches for handling data irregularities. Neurocomputing 419 (2021)
Germán González-Almagro, Alejandro Rosales-Pérez, Julián Luengo, José Ramón Cano, Salvador García
ME-MEOA/DCC: Multiobjective constrained clustering through decomposition-based memetic elitism. Swarm Evol. Comput. 66 (2021)
Katarzyna Stapor, Pawel Ksieniewicz, Salvador García, Michal Wozniak
How to design the fair experimental classifier evaluation. Appl. Soft Comput. 104 (2021)
Sergio González, Salvador García, Sheng-Tun Li, Robert Ivor John, Francisco Herrera
-nearest neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise. Neurocomputing 439 (2021)
Ismay Pérez-Sánchez, Bárbara Cervantes, Miguel Angel Medina-Pérez, Raúl Monroy, Octavio Loyola-González, Salvador García, Francisco Herrera
An Indexing Algorithm Based on Clustering of Minutia Cylinder Codes for Fast Latent Fingerprint Identification. IEEE Access 9 (2021)
Juan-Luis Suárez, Salvador García, Francisco Herrera
Distance Metric Learning with Prototype Selection for Imbalanced Classification. HAIS (2021)
Juan-Luis Suárez, Salvador García, Francisco Herrera
Ordinal regression with explainable distance metric learning based on ordered sequences. Mach. Learn. 110 (10) (2021)
Pourya Shamsolmoali, Salvador García, Huiyu Zhou, M. Emre Celebi
Advances in domain adaptation for computer vision. Image Vis. Comput. 114 (2021)
Hoang Lam Le, Dario Landa-Silva, Mikel Galar, Salvador García, Isaac Triguero
EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification. Appl. Soft Comput. 101 (2021)
Germán González-Almagro, Julián Luengo, José Ramón Cano, Salvador García
Enhancing instance-level constrained clustering through differential evolution. Appl. Soft Comput. 108 (2021)
Germán González-Almagro, Julián Luengo, José Ramón Cano, Salvador García
DILS: Constrained clustering through dual iterative local search. Comput. Oper. Res. 121 (2020)
Daniel Molina, Javier Poyatos, Javier Del Ser, Salvador García, Amir Hussain, Francisco Herrera
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations. Cogn. Comput. 12 (5) (2020)
Jacinto Carrasco, Salvador García, María del Mar Rueda, S. Das, Francisco Herrera
Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review. Swarm Evol. Comput. 54 (2020)
Sergio González, Salvador García, Sheng-Tun Li, Robert I. John, Francisco Herrera
Fuzzy k-Nearest Neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise. CoRR (2020)
Juan-Luis Suárez, Salvador García, Francisco Herrera
pyDML: A Python Library for Distance Metric Learning. J. Mach. Learn. Res. 21 (2020)
Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila, Francisco Herrera
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Inf. Fusion 58 (2020)
Jesús Maillo, Salvador García, Julián Luengo, Francisco Herrera, Isaac Triguero
Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data. IEEE Trans. Fuzzy Syst. 28 (5) (2020)
Germán González-Almagro, Juan-Luis Suárez, Julián Luengo, José Ramón Cano, Salvador García
Agglomerative Constrained Clustering Through Similarity and Distance Recalculation. HAIS (2020)
Germán González-Almagro, Alejandro Rosales-Pérez, Julián Luengo, José Ramón Cano, Salvador García
Improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism. GECCO (2020)
Juan Antonio Cortés-Ibáñez, Sergio González, José Javier Valle-Alonso, Julián Luengo, Salvador García, Francisco Herrera
Preprocessing methodology for time series: An industrial world application case study. Inf. Sci. 514 (2020)
José Ramón Cano, Julián Luengo, Salvador García
Similarity-based and Iterative Label Noise Filters for Monotonic Classification. HICSS (2020)
Hoang Lam Le, Dario Landa-Silva, Mikel Galar, Salvador García, Isaac Triguero
A Hybrid Surrogate Model for Evolutionary Undersampling in Imbalanced Classification. CEC (2020)
Sergio González, Salvador García, Javier Del Ser, Lior Rokach, Francisco Herrera
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities. Inf. Fusion 64 (2020)
Daniel Molina, Javier Poyatos, Javier Del Ser, Salvador García, Amir Hussain, Francisco Herrera
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations. CoRR (2020)
Jacinto Carrasco, Salvador García, María del Mar Rueda, S. Das, Francisco Herrera
Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review. CoRR (2020)
Diego García-Gil, Johan Holmberg, Salvador García, Ning Xiong, Francisco Herrera
Smart Data based Ensemble for Imbalanced Big Data Classification. CoRR (2020)
Diego García-Gil, Julián Luengo, Salvador García, Francisco Herrera
Enabling Smart Data: Noise filtering in Big Data classification. Inf. Sci. 479 (2019)
Diego García-Gil, Alejandro Alcalde-Barros, Julián Luengo, Salvador García, Francisco Herrera
Big Data Preprocessing as the Bridge between Big Data and Smart Data: BigDaPSpark and BigDaPFlink Libraries. IoTBDS (2019)
David Charte, Francisco Charte, Salvador García, Francisco Herrera
A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations. Prog. Artif. Intell. 8 (1) (2019)
Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila, Francisco Herrera
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI. CoRR (2019)
Besay Montesdeoca, Julián Luengo, Jesús Maillo, Diego García-Gil, Salvador García, Francisco Herrera
A First Approach on Big Data Missing Values Imputation. IoTBDS (2019)
Isaac Triguero, Diego García-Gil, Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera
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. 9 (2) (2019)
José Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk, Michal Wozniak, Salvador García
Monotonic classification: An overview on algorithms, performance measures and data sets. Neurocomputing 341 (2019)
Bartosz Krawczyk, Isaac Triguero, Salvador García, Michal Wozniak, Francisco Herrera
Instance reduction for one-class classification. Knowl. Inf. Syst. 59 (3) (2019)
Diego García-Gil, Francisco Luque Sánchez, Julián Luengo, Salvador García, Francisco Herrera
From Big to Smart Data: Iterative ensemble filter for noise filtering in Big Data classification. Int. J. Intell. Syst. 34 (12) (2019)
Sergio González, Salvador García, Sheng-Tun Li, Francisco Herrera
Chain based sampling for monotonic imbalanced classification. Inf. Sci. 474 (2019)
M. Cristina Heredia-Gómez, Salvador García, Pedro Antonio Gutiérrez, Francisco Herrera
OCAPIS: R package for Ordinal Classification and Preprocessing in Scala. Prog. Artif. Intell. 8 (3) (2019)
Ignacio Cordón, Julián Luengo, Salvador García, Francisco Herrera, Francisco Charte
: Data preprocessing to achieve smart data in R. Neurocomputing 360 (2019)
Abdellatif El Afia, Oussama Aoun, Salvador García
Adaptive cooperation of multi-swarm particle swarm optimizer-based hidden Markov model. Prog. Artif. Intell. 8 (4) (2019)
José Ramón Cano, Julián Luengo, Salvador García
Label noise filtering techniques to improve monotonic classification. Neurocomputing 353 (2019)
David Charte, Francisco Charte, Salvador García, Francisco Herrera
A snapshot on nonstandard supervised learning problems: taxonomy, relationships and methods. CoRR (2018)
Salvador García, Zhongliang Zhang, Abdulrahman H. Altalhi, Saleh Alshomrani, Francisco Herrera
Dynamic ensemble selection for multi-class imbalanced datasets. Inf. Sci. (2018)
David Charte, Francisco Charte, Salvador García, María José del Jesus, Francisco Herrera
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines. Inf. Fusion 44 (2018)
Alejandro Alcalde-Barros, Diego García-Gil, Salvador García, Francisco Herrera
DPASF: A Flink Library for Streaming Data preprocessing. CoRR (2018)
Sergio Ramírez-Gallego, Salvador García, Ning Xiong, Francisco Herrera
BELIEF: A distance-based redundancy-proof feature selection method for Big Data. CoRR (2018)
Oussama Aoun, Abdellatif El Afia, Salvador García
Self Inertia Weight Adaptation for the Particle Swarm Optimization. LOPAL (2018)
Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera
A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark. Swarm Evol. Comput. 38 (2018)
Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera
On the Use of Random Discretization and Dimensionality Reduction in Ensembles for Big Data. HAIS (2018)
José Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk, Michal Wozniak, Salvador García
Monotonic classification: an overview on algorithms, performance measures and data sets. CoRR (2018)
M. Cristina Heredia-Gómez, Salvador García, Pedro Antonio Gutiérrez, Francisco Herrera
OCAPIS: R package for Ordinal Classification And Preprocessing In Scala. CoRR (2018)
Ignacio Cordón, Salvador García, Alberto Fernández, Francisco Herrera
Imbalance: Oversampling algorithms for imbalanced classification in R. Knowl. Based Syst. 161 (2018)
Alberto Fernández, Salvador García, Francisco Herrera, Nitesh V. Chawla
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary. J. Artif. Intell. Res. 61 (2018)
Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera
On the use of convolutional neural networks for robust classification of multiple fingerprint captures. Int. J. Intell. Syst. 33 (1) (2018)
Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera, Isaac Triguero
A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification. FUZZ-IEEE (2018)
Sergio Ramírez-Gallego, Alberto Fernández, Salvador García, Min Chen, Francisco Herrera
Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce. Inf. Fusion 42 (2018)
Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Salvador García, Hugo Terashima-Marín, Carlos A. Coello Coello, Francisco Herrera
Cooperative multi-objective evolutionary support vector machines for multiclass problems. GECCO (2018)
José Ramón Cano, Julián Luengo, Salvador García
Label Noise Filtering Techniques to Improve Monotonic Classification. CoRR (2018)
Alejandro Rosales-Pérez, Salvador García, Hugo Terashima-Marín, Carlos A. Coello Coello, Francisco Herrera
MC2ESVM: Multiclass Classification Based on Cooperative Evolution of Support Vector Machines. IEEE Comput. Intell. Mag. 13 (2) (2018)
Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera
Principal Components Analysis Random Discretization Ensemble for Big Data. Knowl. Based Syst. 150 (2018)
Zhongliang Zhang, Xinggang Luo, Sergio González, Salvador García, Francisco Herrera
DRCW-ASEG: One-versus-One distance-based relative competence weighting with adaptive synthetic example generation for multi-class imbalanced datasets. Neurocomputing 285 (2018)
Juan-Luis Suárez, Salvador García, Francisco Herrera
A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms and Software. CoRR (2018)
José Ramón Cano, Salvador García
A First Attempt on Monotonic Training Set Selection. HAIS (2018)
Sergio Ramírez-Gallego, Salvador García, Francisco Herrera
Online entropy-based discretization for data streaming classification. Future Gener. Comput. Syst. 86 (2018)
David Charte, Francisco Charte, Salvador García, María José del Jesus, Francisco Herrera
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines. CoRR (2018)
Zhongliang Zhang, Xinggang Luo, Salvador García, Francisco Herrera
Cost-Sensitive back-propagation neural networks with binarization techniques in addressing multi-class problems and non-competent classifiers. Appl. Soft Comput. 56 (2017)
Sergio Ramírez-Gallego, Bartosz Krawczyk, Salvador García, Michal Wozniak, Francisco Herrera
A survey on data preprocessing for data stream mining: Current status and future directions. Neurocomputing 239 (2017)
José Ramón Cano, Salvador García
Training set selection for monotonic ordinal classification. Data Knowl. Eng. 112 (2017)
Zhongliang Zhang, Xinggang Luo, Salvador García, Jiafu Tang, Francisco Herrera
Exploring the effectiveness of dynamic ensemble selection in the one-versus-one scheme. Knowl. Based Syst. 125 (2017)
Sergio Ramírez-Gallego, Bartosz Krawczyk, Salvador García, Michal Wozniak, José Manuel Benítez, Francisco Herrera
Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark. IEEE Trans. Syst. Man Cybern. Syst. 47 (10) (2017)
Diego García-Gil, Julián Luengo, Salvador García, Francisco Herrera
Enabling Smart Data: Noise filtering in Big Data classification. CoRR (2017)
Daniel Peralta, Salvador García, José Manuel Benítez, Francisco Herrera
Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks. Inf. Sci. 408 (2017)
Isaac Triguero, Sergio González, Jose M. Moyano, Salvador García, Jesús Alcalá-Fdez, Julián Luengo, Alberto Fernández, María José del Jesus, Luciano Sánchez, Francisco Herrera
KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining. Int. J. Comput. Intell. Syst. 10 (1) (2017)
Salvador García
Chaos in the lid-driven square cavity. Math. Comput. Simul. 142 (2017)
José Ramón Cano, Naif R. Aljohani, Rabeeh Ayaz Abbasi, Jalal S. Alowibdi, Salvador García
Prototype selection to improve monotonic nearest neighbor. Eng. Appl. Artif. Intell. 60 (2017)
Jacinto Carrasco, Salvador García, María del Mar Rueda, Francisco Herrera
rNPBST: An R Package Covering Non-parametric and Bayesian Statistical Tests. HAIS (2017)
Alejandro Rosales-Pérez, Salvador García, Jesus A. Gonzalez, Carlos A. Coello Coello, Francisco Herrera
An Evolutionary Multiobjective Model and Instance Selection for Support Vector Machines With Pareto-Based Ensembles. IEEE Trans. Evol. Comput. 21 (6) (2017)
Javier García, Habib M. Fardoun, Daniyal M. Alghazzawi, José Ramón Cano, Salvador García
MoNGEL: monotonic nested generalized exemplar learning. Pattern Anal. Appl. 20 (2) (2017)
Sergio González, Salvador García, Marcelino Lázaro, Aníbal R. Figueiras-Vidal, Francisco Herrera
Class Switching according to Nearest Enemy Distance for learning from highly imbalanced data-sets. Pattern Recognit. 70 (2017)
Jesús Alcalá-Fdez, Rafael Alcalá, Sergio González, Yusuke Nojima, Salvador García
Evolutionary Fuzzy Rule-Based Methods for Monotonic Classification. IEEE Trans. Fuzzy Syst. 25 (6) (2017)
Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera
Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection. Knowl. Based Syst. 126 (2017)
Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera, Isaac Triguero
Exact fuzzy k-nearest neighbor classification for big datasets. FUZZ-IEEE (2017)
Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera
Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints. CoRR (2017)
Muhammad Aslam Jarwar, Rabeeh Ayaz Abbasi, Mubashar Mushtaq, Onaiza Maqbool, Naif R. Aljohani, Ali Daud, Jalal S. Alowibdi, José Ramón Cano, Salvador García, Ilyoung Chong
CommuniMents: A Framework for Detecting Community Based Sentiments for Events. Int. J. Semantic Web Inf. Syst. 13 (2) (2017)
Pedro Antonio Gutiérrez, Salvador García
Current prospects on ordinal and monotonic classification. Prog. Artif. Intell. 5 (3) (2016)
Daniel Peralta, Isaac Triguero, Salvador García, Francisco Herrera, José Manuel Benítez
DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases. Inf. Fusion 32 (2016)

Salvador García.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Salvador García