Salvador García

218 papers A* 1A 2B 7C 10Misc 12Journal 163Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
A consensus model considering trust-based interactive weight allocation for the procurement of new energy vehicles.
Eng. Appl. Artif. Intell.
Junpeng Sun, Zaiwu Gong, Yejun Xu, Yanxin Xu, Salvador García
2026 J jnl
Balancing forecast accuracy and switching costs in online optimization of energy management systems.
Expert Syst. Appl.
Evgenii Genov, Julian Ruddick, Christoph Bergmeir, Majid Vafaeipour, Thierry Coosemans, Salvador García, Maarten Messagie
2026 J jnl
E-SF2I: Dynamics modeling and multi-level verification of Online Social Network rumor propagation driven by emotional differentiation and dual-immunity-state coupling.
Int. J. Inf. Manag.
Chenquan Gan, Hongming Chen, Qingyi Zhu, Rui Tang, Deepak Kumar Jain, Liping Feng, Salvador García
2025 J jnl
Determination of the Number of Clusters in High-Dimensional Data With Subspace Clusters.
IEEE Trans. Big Data
Mohammad Sultan Mahmud, Joshua Zhexue Huang, Germán González-Almagro, Salvador García
2025 J jnl
Fractional Correspondence Framework in Detection Transformer.
CoRR
Masoumeh Zareapoor, Pourya Shamsolmoali, Huiyu Zhou, Yue Lu, Salvador García
2025 J jnl
Hybrid Gromov-Wasserstein Embedding for Capsule Learning.
IEEE Trans. Neural Networks Learn. Syst.
Pourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, Eric Granger, Salvador García
2025 J jnl
RSPCA: Random Sample Partition and Clustering Approximation for ensemble learning of big data.
Pattern Recognit.
Mohammad Sultan Mahmud, Hua Zheng, Diego García-Gil, Salvador García, Joshua Zhexue Huang
2025 J jnl
Semi-supervised constrained clustering: an in-depth overview, ranked taxonomy and future research directions.
Artif. Intell. Rev.
Germán González-Almagro, Daniel Peralta, Eli De Poorter, José Ramón Cano, Salvador García
2024 J jnl
Application of spatial uncertainty predictor in CNN-BiLSTM model using coronary artery disease ECG signals.
Inf. Sci.
Silvia Seoni, Filippo Molinari, U. Rajendra Acharya, Shu Lih Oh, Prabal Datta Barua, Salvador García, Massimo Salvi
2024 J jnl
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013-2023).
WIREs Data. Mining. Knowl. Discov.
Massimo Salvi, Madhav R. Acharya, Silvia Seoni, Oliver Faust, Ru-San Tan, Prabal Datta Barua, Salvador García, Filippo Molinari, U. Rajendra Acharya
2024 J jnl
Clustering approximation via a fusion of multiple random samples.
Inf. Fusion
Mohammad Sultan Mahmud, Joshua Zhexue Huang, Salvador García
2024 J jnl
Enhancing microblog sentiment analysis through multi-level feature interaction fusion with social relationship guidance.
Appl. Intell.
Chenquan Gan, Xiaopeng Cao, Qingyi Zhu, Deepak Kumar Jain, Salvador García
2024 J jnl
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects.
CoRR
Javier Poyatos, Javier Del Ser, Salvador García, Hisao Ishibuchi, Daniel Molina, Isaac Triguero, Bing Xue, Xin Yao, Francisco Herrera
2024 A* conf
Fractional Correspondence Framework in Detection Transformer.
ACM Multimedia
Masoumeh Zareapoor, Pourya Shamsolmoali, Huiyu Zhou, Yue Lu, Salvador García
2024 J jnl
Improved binary differential evolution with dimensionality reduction mechanism and binary stochastic search for feature selection.
Appl. Soft Comput.
Behrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, Leyla Aghaei, Seyedali Mirjalili, Abbas Khosravi, Salvador García, Fakhri Karray, U. Rajendra Acharya
2024 J jnl
Metric learning for monotonic classification: turning the space up to the limits of monotonicity.
Appl. Intell.
Juan-Luis Suárez, Germán González-Almagro, Salvador García, Francisco Herrera
2024 J jnl
Multi-modality approaches for medical support systems: A systematic review of the last decade.
Inf. Fusion
Massimo Salvi, Hui Wen Loh, Silvia Seoni, Prabal Datta Barua, Salvador García, Filippo Molinari, U. Rajendra Acharya
2024 J jnl
Predict. Optimize. Revise. On Forecast and Policy Stability in Energy Management Systems.
CoRR
Evgenii Genov, Julian Ruddick, Christoph Bergmeir, Majid Vafaeipour, Thierry Coosemans, Salvador García, Maarten Messagie
2024 J jnl
RSAFormer: A method of polyp segmentation with region self-attention transformer.
Comput. Biol. Medicine
Xuehui Yin, Jun Zeng, Tianxiao Hou, Chao Tang, Chenquan Gan, Deepak Kumar Jain, Salvador García
2024 J jnl
Robust multi-modal pedestrian detection using deep convolutional neural network with ensemble learning model.
Expert Syst. Appl.
Deepak Kumar Jain, Xudong Zhao, Salvador García, Neelakandan Subramani
2024 J jnl
Semi-supervised clustering with two types of background knowledge: Fusing pairwise constraints and monotonicity constraints.
Inf. Fusion
Germán González-Almagro, Pablo Sánchez Bermejo, Juan-Luis Suárez, José Ramón Cano, Salvador García
2024 J jnl
Smart Data Driven Decision Trees Ensemble Methodology for Imbalanced Big Data.
Cogn. Comput.
Diego García-Gil, Salvador García, Ning Xiong, Francisco Herrera
2024 J jnl
UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data.
Swarm Evol. Comput.
Behrouz Ahadzadeh, Moloud Abdar, Mahdieh Foroumandi, Fatemeh Safara, Abbas Khosravi, Salvador García, Ponnuthurai Nagaratnam Suganthan
2024 J jnl
Video multimodal sentiment analysis using cross-modal feature translation and dynamical propagation.
Knowl. Based Syst.
Chenquan Gan, Yu Tang, Xiang Fu, Qingyi Zhu, Deepak Kumar Jain, Salvador García
2023 J jnl
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
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
2023 J jnl
EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient population.
Comput. Biol. Medicine
Shu Lih Oh, V. Jahmunah, Elizabeth Emma Palmer, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Salvador García, Filippo Molinari, U. Rajendra Acharya
2023 J jnl
GEN: Generative Equivariant Networks for Diverse Image-to-Image Translation.
IEEE Trans. Cybern.
Pourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, Salvador García, Eric Granger, Jie Yang
2023 J jnl
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization.
IEEE Trans. Cybern.
Alejandro Rosales-Pérez, Salvador García, Francisco Herrera
2023 J jnl
On Forecast Stability.
CoRR
Rakshitha Godahewa, Christoph Bergmeir, Zeynep Erkin Baz, Chengjun Zhu, Zhangdi Song, Salvador García, Dario Benavides
2023 J jnl
Semi-Supervised Constrained Clustering: An In-Depth Overview, Ranked Taxonomy and Future Research Directions.
CoRR
Germán González-Almagro, Daniel Peralta, Eli De Poorter, José Ramón Cano, Salvador García
2023 J jnl
Semi-supervised Clustering with Two Types of Background Knowledge: Fusing Pairwise Constraints and Monotonicity Constraints.
CoRR
Germán González-Almagro, Juan-Luis Suárez, Pablo Sánchez Bermejo, José Ramón Cano, Salvador García
2023 J jnl
Speech emotion recognition via multiple fusion under spatial-temporal parallel network.
Neurocomputing
Chenquan Gan, Kexin Wang, Qingyi Zhu, Yong Xiang, Deepak Kumar Jain, Salvador García
2022 J jnl
3SHACC: Three stages hybrid agglomerative constrained clustering.
Neurocomputing
Germán González-Almagro, Juan-Luis Suárez, Julián Luengo, José Ramón Cano, Salvador García
2022 C conf
A Preliminary Approach for using Metric Learning in Monotonic Classification.
IEA/AIE
Juan-Luis Suárez, Germán González-Almagro, Salvador García, Francisco Herrera
2022 Misc conf
Adapting K-Means Algorithm for Pair-Wise Constrained Clustering of Imbalanced Data Streams.
HAIS
Szymon Wojciechowski, Germán González-Almagro, Salvador García, Michal Wozniak
2022 J jnl
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization.
CoRR
Alejandro Rosales-Pérez, Salvador García, Francisco Herrera
2022 C conf
Monotonic Constrained Clustering: A First Approach.
IEA/AIE
Germán González-Almagro, Pablo Sánchez Bermejo, Juan-Luis Suárez, José Ramón Cano, Salvador García
2022 J jnl
Wasserstein Embedding for Capsule Learning.
CoRR
Pourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, Eric Granger, Salvador García
2021 J jnl
A tutorial on distance metric learning: Mathematical foundations, algorithms, experimental analysis, prospects and challenges.
Neurocomputing
Juan-Luis Suárez, Salvador García, Francisco Herrera
2021 J jnl
Advances in domain adaptation for computer vision.
Image Vis. Comput.
Pourya Shamsolmoali, Salvador García, Huiyu Zhou, M. Emre Celebi
2021 J jnl
An Indexing Algorithm Based on Clustering of Minutia Cylinder Codes for Fast Latent Fingerprint Identification.
IEEE Access
Ismay Pérez-Sánchez, Bárbara Cervantes, Miguel Angel Medina-Pérez, Raúl Monroy, Octavio Loyola-González, Salvador García, Francisco Herrera
2021 J jnl
BELIEF: A distance-based redundancy-proof feature selection method for Big Data.
Inf. Sci.
David López, Sergio Ramírez-Gallego, Salvador García, Ning Xiong, Francisco Herrera
2021 J jnl
Decomposition-Fusion for Label Distribution Learning.
Inf. Fusion
Manuel González, Germán González-Almagro, Isaac Triguero, José Ramón Cano, Salvador García
2021 Misc conf
Distance Metric Learning with Prototype Selection for Imbalanced Classification.
HAIS
Juan-Luis Suárez, Salvador García, Francisco Herrera
2021 J jnl
EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification.
Appl. Soft Comput.
Hoang Lam Le, Dario Landa-Silva, Mikel Galar, Salvador García, Isaac Triguero
2021 J jnl
Enhancing instance-level constrained clustering through differential evolution.
Appl. Soft Comput.
Germán González-Almagro, Julián Luengo, José Ramón Cano, Salvador García
2021 J jnl
Fuzzy
Neurocomputing
Sergio González, Salvador García, Sheng-Tun Li, Robert Ivor John, Francisco Herrera
2021 J jnl
How to design the fair experimental classifier evaluation.
Appl. Soft Comput.
Katarzyna Stapor, Pawel Ksieniewicz, Salvador García, Michal Wozniak
2021 J jnl
ME-MEOA/DCC: Multiobjective constrained clustering through decomposition-based memetic elitism.
Swarm Evol. Comput.
Germán González-Almagro, Alejandro Rosales-Pérez, Julián Luengo, José Ramón Cano, Salvador García
2021 J jnl
Neurocomputing guest editorial for the special issue: Advances in deep and shallow machine learning approaches for handling data irregularities.
Neurocomputing
Swagatam Das, Salvador García, Isaac Triguero
2021 B conf
Ordinal Regression with Explainable Distance Metric Learning Based on Ordered Sequences: Extended Abstract.
DSAA
Juan-Luis Suárez, Salvador García, Francisco Herrera
2021 J jnl
Ordinal regression with explainable distance metric learning based on ordered sequences.
Mach. Learn.
Juan-Luis Suárez, Salvador García, Francisco Herrera
2021 J jnl
SOUL: Scala Oversampling and Undersampling Library for imbalance classification.
SoftwareX
Néstor Rodríguez, David López, Alberto Fernández, Salvador García, Francisco Herrera
2021 J jnl
Synthetic Sample Generation for Label Distribution Learning.
Inf. Sci.
Manuel González, Julián Luengo, José Ramón Cano, Salvador García
2020 B conf
A Hybrid Surrogate Model for Evolutionary Undersampling in Imbalanced Classification.
CEC
Hoang Lam Le, Dario Landa-Silva, Mikel Galar, Salvador García, Isaac Triguero
2020 J jnl
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities.
Inf. Fusion
Sergio González, Salvador García, Javier Del Ser, Lior Rokach, Francisco Herrera
2020 Misc conf
Agglomerative Constrained Clustering Through Similarity and Distance Recalculation.
HAIS
Germán González-Almagro, Juan-Luis Suárez, Julián Luengo, José Ramón Cano, Salvador García
2020 — book
Big Data Preprocessing - Enabling Smart Data
Julián Luengo, Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera
2020 J jnl
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations.
Cogn. Comput.
Daniel Molina, Javier Poyatos, Javier Del Ser, Salvador García, Amir Hussain, Francisco Herrera
2020 J jnl
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations.
CoRR
Daniel Molina, Javier Poyatos, Javier Del Ser, Salvador García, Amir Hussain, Francisco Herrera
2020 J jnl
DILS: Constrained clustering through dual iterative local search.
Comput. Oper. Res.
Germán González-Almagro, Julián Luengo, José Ramón Cano, Salvador García
2020 J jnl
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI.
Inf. Fusion
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
2020 J jnl
Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data.
IEEE Trans. Fuzzy Syst.
Jesús Maillo, Salvador García, Julián Luengo, Francisco Herrera, Isaac Triguero
2020 J jnl
Fuzzy k-Nearest Neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise.
CoRR
Sergio González, Salvador García, Sheng-Tun Li, Robert I. John, Francisco Herrera
2020 A conf
Improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism.
GECCO
Germán González-Almagro, Alejandro Rosales-Pérez, Julián Luengo, José Ramón Cano, Salvador García
2020 J jnl
Preprocessing methodology for time series: An industrial world application case study.
Inf. Sci.
Juan Antonio Cortés-Ibáñez, Sergio González, José Javier Valle-Alonso, Julián Luengo, Salvador García, Francisco Herrera
2020 J jnl
Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review.
CoRR
Jacinto Carrasco, Salvador García, María del Mar Rueda, Swagatam Das, Francisco Herrera
2020 J jnl
Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review.
Swarm Evol. Comput.
Jacinto Carrasco, Salvador García, María del Mar Rueda, Swagatam Das, Francisco Herrera
2020 — conf
Similarity-based and Iterative Label Noise Filters for Monotonic Classification.
HICSS
José Ramón Cano, Julián Luengo, Salvador García
2020 J jnl
Smart Data based Ensemble for Imbalanced Big Data Classification.
CoRR
Diego García-Gil, Johan Holmberg, Salvador García, Ning Xiong, Francisco Herrera
2020 J jnl
pyDML: A Python Library for Distance Metric Learning.
J. Mach. Learn. Res.
Juan-Luis Suárez, Salvador García, Francisco Herrera
2019 C conf
A First Approach on Big Data Missing Values Imputation.
IoTBDS
Besay Montesdeoca, Julián Luengo, Jesús Maillo, Diego García-Gil, Salvador García, Francisco Herrera
2019 J jnl
A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations.
Prog. Artif. Intell.
David Charte, Francisco Charte, Salvador García, Francisco Herrera
2019 J jnl
Adaptive cooperation of multi-swarm particle swarm optimizer-based hidden Markov model.
Prog. Artif. Intell.
Abdellatif El Afia, Oussama Aoun, Salvador García
2019 C conf
Big Data Preprocessing as the Bridge between Big Data and Smart Data: BigDaPSpark and BigDaPFlink Libraries.
IoTBDS
Diego García-Gil, Alejandro Alcalde-Barros, Julián Luengo, Salvador García, Francisco Herrera
2019 J jnl
Chain based sampling for monotonic imbalanced classification.
Inf. Sci.
Sergio González, Salvador García, Sheng-Tun Li, Francisco Herrera
2019 J jnl
Enabling Smart Data: Noise filtering in Big Data classification.
Inf. Sci.
Diego García-Gil, Julián Luengo, Salvador García, Francisco Herrera
2019 J jnl
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI.
CoRR
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
2019 J jnl
From Big to Smart Data: Iterative ensemble filter for noise filtering in Big Data classification.
Int. J. Intell. Syst.
Diego García-Gil, Francisco Luque Sánchez, Julián Luengo, Salvador García, Francisco Herrera
2019 J jnl
Instance reduction for one-class classification.
Knowl. Inf. Syst.
Bartosz Krawczyk, Isaac Triguero, Salvador García, Michal Wozniak, Francisco Herrera
2019 J jnl
Label noise filtering techniques to improve monotonic classification.
Neurocomputing
José Ramón Cano, Julián Luengo, Salvador García
2019 J jnl
Monotonic classification: An overview on algorithms, performance measures and data sets.
Neurocomputing
José Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk, Michal Wozniak, Salvador García
2019 J jnl
OCAPIS: R package for Ordinal Classification and Preprocessing in Scala.
Prog. Artif. Intell.
M. Cristina Heredia-Gómez, Salvador García, Pedro Antonio Gutiérrez, Francisco Herrera
2019 J jnl
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.
Isaac Triguero, Diego García-Gil, Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera
2018 Misc conf
A First Attempt on Monotonic Training Set Selection.
HAIS
José Ramón Cano, Salvador García
2018 J jnl
A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms and Software.
CoRR
Juan-Luis Suárez, Salvador García, Francisco Herrera
2018 J jnl
A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark.
Swarm Evol. Comput.
Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera
2018 J jnl
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines.
CoRR
David Charte, Francisco Charte, Salvador García, María José del Jesus, Francisco Herrera
2018 J jnl
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines.
Inf. Fusion
David Charte, Francisco Charte, Salvador García, María José del Jesus, Francisco Herrera
2018 B conf
A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification.
FUZZ-IEEE
Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera, Isaac Triguero
2018 J jnl
A snapshot on nonstandard supervised learning problems: taxonomy, relationships and methods.
CoRR
David Charte, Francisco Charte, Salvador García, Francisco Herrera
2018 J jnl
BELIEF: A distance-based redundancy-proof feature selection method for Big Data.
CoRR
Sergio Ramírez-Gallego, Salvador García, Ning Xiong, Francisco Herrera
2018 J jnl
Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce.
Inf. Fusion
Sergio Ramírez-Gallego, Alberto Fernández, Salvador García, Min Chen, Francisco Herrera
2018 A conf
Cooperative multi-objective evolutionary support vector machines for multiclass problems.
GECCO
Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Salvador García, Hugo Terashima-Marín, Carlos A. Coello Coello, Francisco Herrera
2018 J jnl
DPASF: A Flink Library for Streaming Data preprocessing.
CoRR
Alejandro Alcalde-Barros, Diego García-Gil, Salvador García, Francisco Herrera
2018 J jnl
DRCW-ASEG: One-versus-One distance-based relative competence weighting with adaptive synthetic example generation for multi-class imbalanced datasets.
Neurocomputing
Zhong-Liang Zhang, Xinggang Luo, Sergio González, Salvador García, Francisco Herrera
2018 J jnl
Dynamic ensemble selection for multi-class imbalanced datasets.
Inf. Sci.
Salvador García, Zhong-Liang Zhang, Abdulrahman H. Altalhi, Saleh Alshomrani, Francisco Herrera
2018 J jnl
Imbalance: Oversampling algorithms for imbalanced classification in R.
Knowl. Based Syst.
Ignacio Cordón, Salvador García, Alberto Fernández, Francisco Herrera
2018 J jnl
Label Noise Filtering Techniques to Improve Monotonic Classification.
CoRR
José Ramón Cano, Julián Luengo, Salvador García
2018 — book
Learning from Imbalanced Data Sets
Alberto Fernández, Salvador García, Mikel Galar, Ronaldo C. Prati, Bartosz Krawczyk, Francisco Herrera
2018 J jnl
MC2ESVM: Multiclass Classification Based on Cooperative Evolution of Support Vector Machines.
IEEE Comput. Intell. Mag.
Alejandro Rosales-Pérez, Salvador García, Hugo Terashima-Marín, Carlos A. Coello Coello, Francisco Herrera
2018 J jnl
Monotonic classification: an overview on algorithms, performance measures and data sets.
CoRR
José Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk, Michal Wozniak, Salvador García
2018 J jnl
OCAPIS: R package for Ordinal Classification And Preprocessing In Scala.
CoRR
M. Cristina Heredia-Gómez, Salvador García, Pedro Antonio Gutiérrez, Francisco Herrera
2018 Misc conf
On the Use of Random Discretization and Dimensionality Reduction in Ensembles for Big Data.
HAIS
Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera
2018 J jnl
On the use of convolutional neural networks for robust classification of multiple fingerprint captures.
Int. J. Intell. Syst.
Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera
2018 J jnl
Online entropy-based discretization for data streaming classification.
Future Gener. Comput. Syst.
Sergio Ramírez-Gallego, Salvador García, Francisco Herrera
2018 J jnl
Principal Components Analysis Random Discretization Ensemble for Big Data.
Knowl. Based Syst.
Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera
2018 J jnl
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary.
J. Artif. Intell. Res.
Alberto Fernández, Salvador García, Francisco Herrera, Nitesh V. Chawla
2018 — conf
Self Inertia Weight Adaptation for the Particle Swarm Optimization.
LOPAL
Oussama Aoun, Abdellatif El Afia, Salvador García
2017 J jnl
A survey on data preprocessing for data stream mining: Current status and future directions.
Neurocomputing
Sergio Ramírez-Gallego, Bartosz Krawczyk, Salvador García, Michal Wozniak, Francisco Herrera
2017 J jnl
An Evolutionary Multiobjective Model and Instance Selection for Support Vector Machines With Pareto-Based Ensembles.
IEEE Trans. Evol. Comput.
Alejandro Rosales-Pérez, Salvador García, Jesus A. Gonzalez, Carlos A. Coello Coello, Francisco Herrera
2017 J jnl
Class Switching according to Nearest Enemy Distance for learning from highly imbalanced data-sets.
Pattern Recognit.
Sergio González, Salvador García, Marcelino Lázaro, Aníbal R. Figueiras-Vidal, Francisco Herrera
2017 J jnl
CommuniMents: A Framework for Detecting Community Based Sentiments for Events.
Int. J. Semantic Web Inf. Syst.
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
2017 J jnl
Cost-Sensitive back-propagation neural networks with binarization techniques in addressing multi-class problems and non-competent classifiers.
Appl. Soft Comput.
Zhong-Liang Zhang, Xinggang Luo, Salvador García, Francisco Herrera
2017 J jnl
Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection.
Knowl. Based Syst.
Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera
2017 J jnl
Enabling Smart Data: Noise filtering in Big Data classification.
CoRR
Diego García-Gil, Julián Luengo, Salvador García, Francisco Herrera
2017 J jnl
Evolutionary Fuzzy Rule-Based Methods for Monotonic Classification.
IEEE Trans. Fuzzy Syst.
Jesús Alcalá-Fdez, Rafael Alcalá, Sergio González, Yusuke Nojima, Salvador García
2017 B conf
Exact fuzzy k-nearest neighbor classification for big datasets.
FUZZ-IEEE
Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera, Isaac Triguero
2017 J jnl
Exploring the effectiveness of dynamic ensemble selection in the one-versus-one scheme.
Knowl. Based Syst.
Zhong-Liang Zhang, Xinggang Luo, Salvador García, Jiafu Tang, Francisco Herrera
2017 J jnl
Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints.
CoRR
Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera
2017 J jnl
KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining.
Int. J. Comput. Intell. Syst.
Isaac Triguero, Sergio González, Jose M. Moyano, Salvador García, Jesús Alcalá-Fdez, Julián Luengo, Alberto Fernández, María José del Jesus, Luciano Sánchez, Francisco Herrera
2017 J jnl
Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks.
Inf. Sci.
Daniel Peralta, Salvador García, José Manuel Benítez, Francisco Herrera
2017 J jnl
MoNGEL: monotonic nested generalized exemplar learning.
Pattern Anal. Appl.
Javier García, Habib M. Fardoun, Daniyal M. Alghazzawi, José Ramón Cano, Salvador García
2017 J jnl
Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark.
IEEE Trans. Syst. Man Cybern. Syst.
Sergio Ramírez-Gallego, Bartosz Krawczyk, Salvador García, Michal Wozniak, José Manuel Benítez, Francisco Herrera
2017 J jnl
Prototype selection to improve monotonic nearest neighbor.
Eng. Appl. Artif. Intell.
José Ramón Cano, Naif R. Aljohani, Rabeeh Ayaz Abbasi, Jalal S. Alowibdi, Salvador García
2017 J jnl
Training set selection for monotonic ordinal classification.
Data Knowl. Eng.
José Ramón Cano, Salvador García
2017 Misc conf
rNPBST: An R Package Covering Non-parametric and Bayesian Statistical Tests.
HAIS
Jacinto Carrasco, Salvador García, María del Mar Rueda, Francisco Herrera
2016 Misc conf
A Nearest Hyperrectangle Monotonic Learning Method.
HAIS
Javier García, José Ramón Cano, Salvador García
2016 J jnl
Current prospects on ordinal and monotonic classification.
Prog. Artif. Intell.
Pedro Antonio Gutiérrez, Salvador García
2016 J jnl
DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases.
Inf. Fusion
Daniel Peralta, Isaac Triguero, Salvador García, Francisco Herrera, José Manuel Benítez
2016 J jnl
Data discretization: taxonomy and big data challenge.
WIREs Data Mining Knowl. Discov.
Sergio Ramírez-Gallego, Salvador García, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, José Manuel Benítez, Francisco Herrera
2016 J jnl
Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data.
Knowl. Based Syst.
Zhongliang Zhang, Bartosz Krawczyk, Salvador García, Alejandro Rosales-Pérez, Francisco Herrera
2016 J jnl
Evolutionary fuzzy k-nearest neighbors algorithm using interval-valued fuzzy sets.
Inf. Sci.
Joaquín Derrac, Francisco Chiclana, Salvador García, Francisco Herrera
2016 J jnl
Evolutionary wrapper approaches for training set selection as preprocessing mechanism for support vector machines: Experimental evaluation and support vector analysis.
Appl. Soft Comput.
Nele Verbiest, Joaquín Derrac, Chris Cornelis, Salvador García, Francisco Herrera
2016 — conf
From Big Data to Smart Data with the K-Nearest Neighbours Algorithm.
iThings/GreenCom/CPSCom/SmartData
Isaac Triguero, Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera
2016 J jnl
Hyperrectangles Selection for Monotonic Classification by Using Evolutionary Algorithms.
Int. J. Comput. Intell. Syst.
Javier García, Adnan Al-bar, Naif R. Aljohani, José Ramón Cano, Salvador García
2016 J jnl
Landmark-based music recognition system optimisation using genetic algorithms.
Multim. Tools Appl.
Salvador Gutiérrez, Salvador García
2016 Misc conf
Managing Monotonicity in Classification by a Pruned AdaBoost.
HAIS
Sergio González, Francisco Herrera, Salvador García
2016 J jnl
Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification.
IEEE Trans. Cybern.
Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera
2016 J jnl
Tutorial on practical tips of the most influential data preprocessing algorithms in data mining.
Knowl. Based Syst.
Salvador García, Julián Luengo, Francisco Herrera
2015 — conf
A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees.
CORES
Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera
2015 J jnl
A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models.
Knowl. Based Syst.
Mikel Galar, Joaquín Derrac, Daniel Peralta, Isaac Triguero, Daniel Paternain, Carlos Lopez-Molina, Salvador García, José Manuel Benítez, Miguel Pagola, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera
2015 J jnl
A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal.
Knowl. Based Syst.
Mikel Galar, Joaquín Derrac, Daniel Peralta, Isaac Triguero, Daniel Paternain, Carlos Lopez-Molina, Salvador García, José Manuel Benítez, Miguel Pagola, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera
2015 J jnl
A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation.
Inf. Sci.
Daniel Peralta, Mikel Galar, Isaac Triguero, Daniel Paternain, Salvador García, Edurne Barrenechea, José Manuel Benítez, Humberto Bustince, Francisco Herrera
2015 — conf
An Interval Valued K-Nearest Neighbors Classifier.
IFSA-EUSFLAT
Joaquín Derrac, Francisco Chiclana, Salvador García, Francisco Herrera
2015 — book
Data Preprocessing in Data Mining
Salvador García, Julián Luengo, Francisco Herrera
2015 — conf
Distributed Entropy Minimization Discretizer for Big Data Analysis under Apache Spark.
TrustCom/BigDataSE/ISPA (2)
Sergio Ramírez-Gallego, Salvador García, Héctor Mouriño-Talín, David Martínez-Rego
2015 J jnl
MRPR: A MapReduce solution for prototype reduction in big data classification.
Neurocomputing
Isaac Triguero, Daniel Peralta, Jaume Bacardit, Salvador García, Francisco Herrera
2015 C conf
Managing Monotonicity in Classification by a Pruned Random Forest.
IDEAL
Sergio González, Francisco Herrera, Salvador García
2015 J jnl
Monotonic Random Forest with an Ensemble Pruning Mechanism based on the Degree of Monotonicity.
New Gener. Comput.
Sergio González, Francisco Herrera, Salvador García
2015 J jnl
SEG-SSC: A Framework Based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification.
IEEE Trans. Cybern.
Isaac Triguero, Salvador García, Francisco Herrera
2015 J jnl
Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study.
Knowl. Inf. Syst.
Isaac Triguero, Salvador García, Francisco Herrera
2014 B conf
A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation.
IEEE Congress on Evolutionary Computation
Isaac Triguero, Daniel Peralta, Jaume Bacardit, Salvador García, Francisco Herrera
2014 B conf
A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification.
IEEE Congress on Evolutionary Computation
Bartosz Krawczyk, Isaac Triguero, Salvador García, Michal Wozniak, Francisco Herrera
2014 J jnl
Addressing imbalanced classification with instance generation techniques: IPADE-ID.
Neurocomputing
Victoria López, Isaac Triguero, Cristóbal J. Carmona, Salvador García, Francisco Herrera
2014 J jnl
Analyzing convergence performance of evolutionary algorithms: A statistical approach.
Inf. Sci.
Joaquín Derrac, Salvador García, Sheldon Hui, Ponnuthurai Nagaratnam Suganthan, Francisco Herrera
2014 J jnl
Fuzzy nearest neighbor algorithms: Taxonomy, experimental analysis and prospects.
Inf. Sci.
Joaquín Derrac, Salvador García, Francisco Herrera
2014 J jnl
On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification.
Neurocomputing
Isaac Triguero, José A. Sáez, Julián Luengo, Salvador García, Francisco Herrera
2014 J jnl
On the statistical analysis of the parameters' trend in a machine learning algorithm.
Prog. Artif. Intell.
Salvador García, Joaquín Derrac, Sergio Ramírez-Gallego, Francisco Herrera
2013 J jnl
A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning.
IEEE Trans. Knowl. Data Eng.
Salvador García, Julián Luengo, José Antonio Sáez, Victoria López, Francisco Herrera
2013 J jnl
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics.
Inf. Sci.
Victoria López, Alberto Fernández, Salvador García, Vasile Palade, Francisco Herrera
2013 J jnl
On the use of evolutionary feature selection for improving fuzzy rough set based prototype selection.
Soft Comput.
Joaquín Derrac, Nele Verbiest, Salvador García, Chris Cornelis, Francisco Herrera
2013 — conf
Statistical analysis of convergence performance throughout the evolutionary search: A case study with SaDE-MMTS and Sa-EPSDE-MMTS.
SDE
Joaquín Derrac, Salvador García, Sheldon Hui, Francisco Herrera, Ponnuthurai Nagaratnam Suganthan
2012 — conf
A Co-evolutionary Framework for Nearest Neighbor Enhancement: Combining Instance and Feature Weighting with Instance Selection.
HAIS (2)
Joaquín Derrac, Isaac Triguero, Salvador García, Francisco Herrera
2012 — conf
A Preliminary Study on Selecting the Optimal Cut Points in Discretization by Evolutionary Algorithms.
ICPRAM (1)
Salvador García, Victoria López, Julián Luengo, Cristóbal J. Carmona, Francisco Herrera
2012 J jnl
A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification.
IEEE Trans. Syst. Man Cybern. Part C
Isaac Triguero, Joaquín Derrac, Salvador García, Francisco Herrera
2012 J jnl
Enhancing evolutionary instance selection algorithms by means of fuzzy rough set based feature selection.
Inf. Sci.
Joaquín Derrac, Chris Cornelis, Salvador García, Francisco Herrera
2012 J jnl
Evolutionary-based selection of generalized instances for imbalanced classification.
Knowl. Based Syst.
Salvador García, Joaquín Derrac, Isaac Triguero, Cristóbal J. Carmona, Francisco Herrera
2012 J jnl
Integrating Instance Selection, Instance Weighting, and Feature Weighting for Nearest Neighbor Classifiers by Coevolutionary Algorithms.
IEEE Trans. Syst. Man Cybern. Part B
Joaquín Derrac, Isaac Triguero, Salvador García, Francisco Herrera
2012 J jnl
Integrating a differential evolution feature weighting scheme into prototype generation.
Neurocomputing
Isaac Triguero, Joaquín Derrac, Salvador García, Francisco Herrera
2012 J jnl
On the choice of the best imputation methods for missing values considering three groups of classification methods.
Knowl. Inf. Syst.
Julián Luengo, Salvador García, Francisco Herrera
2012 J jnl
Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study.
IEEE Trans. Pattern Anal. Mach. Intell.
Salvador García, Joaquín Derrac, José Ramón Cano, Francisco Herrera
2012 — conf
Subgroup Discovery Applied to the e-Commerce Website OrOliveSur.com.
ICEIS (2)
Cristóbal J. Carmona, Sergio Ramírez-Gallego, F. J. Torres, Enrique Bernal, María José del Jesus, Salvador García
2012 J jnl
Web usage mining to improve the design of an e-commerce website: OrOliveSur.com.
Expert Syst. Appl.
Cristóbal J. Carmona, Sergio Ramírez-Gallego, F. J. Torres, Enrique Bernal, María José del Jesus, Salvador García
2011 — conf
A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorithms.
IWANN (1)
Joaquín Derrac, Chris Cornelis, Salvador García, Francisco Herrera
2011 J jnl
A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms.
Swarm Evol. Comput.
Joaquín Derrac, Salvador García, Daniel Molina, Francisco Herrera
2011 — conf
A study of the scaling up capabilities of stratified prototype generation.
NaBIC
Isaac Triguero, Joaquín Derrac, Francisco Herrera, Salvador García
2011 J jnl
Addressing data complexity for imbalanced data sets: analysis of SMOTE-based oversampling and evolutionary undersampling.
Soft Comput.
Julián Luengo, Alberto Fernández, Salvador García, Francisco Herrera
2011 — conf
Addressing the Classification with Imbalanced Data: Open Problems and New Challenges on Class Distribution.
HAIS (1)
Alberto Fernández, Salvador García, Francisco Herrera
2011 J jnl
Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification.
Pattern Recognit.
Isaac Triguero, Salvador García, Francisco Herrera
2011 — conf
Enhancing IPADE Algorithm with a Different Individual Codification.
HAIS (2)
Isaac Triguero, Salvador García, Francisco Herrera
2011 J jnl
Evolutionary selection of hyperrectangles in nested generalized exemplar learning.
Appl. Soft Comput.
Salvador García, Joaquín Derrac, Julián Luengo, Cristóbal J. Carmona, Francisco Herrera
2011 J jnl
KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework.
J. Multiple Valued Log. Soft Comput.
Jesús Alcalá-Fdez, Alberto Fernández, Julián Luengo, Joaquín Derrac, Salvador García
2010 — conf
A Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification.
IEA/AIE (1)
Salvador García, Joaquín Derrac, Isaac Triguero, Cristóbal J. Carmona, Francisco Herrera
2010 — ch.
A Review on Evolutionary Prototype Selection.
Intelligent Systems for Automated Learning and Adaptation
Salvador García, José Ramón Cano, Francisco Herrera
2010 J jnl
A Survey on Evolutionary Instance Selection and Generation.
Int. J. Appl. Metaheuristic Comput.
Joaquín Derrac, Salvador García, Francisco Herrera
2010 B conf
A preliminary study on the use of differential evolution for adjusting the position of examples in nearest neighbor classification.
IEEE Congress on Evolutionary Computation
Isaac Triguero, Salvador García, Francisco Herrera
2010 J jnl
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
Julián Luengo, Salvador García, Francisco Herrera
2010 J jnl
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power.
Inf. Sci.
Salvador García, Alberto Fernández, Julián Luengo, Francisco Herrera
2010 J jnl
Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy, and Comparative Study.
IEEE Trans. Evol. Comput.
Alberto Fernández, Salvador García, Julián Luengo, Ester Bernadó-Mansilla, Francisco Herrera
2010 — conf
IFS-CoCo in the Landscape Contest: Description and Results.
ICPR Contests
Joaquín Derrac, Salvador García, Francisco Herrera
2010 J jnl
IFS-CoCo: Instance and feature selection based on cooperative coevolution with nearest neighbor rule.
Pattern Recognit.
Joaquín Derrac, Salvador García, Francisco Herrera
2010 J jnl
IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification.
IEEE Trans. Neural Networks
Isaac Triguero, Salvador García, Francisco Herrera
2010 J jnl
Special issue on Hybrid Fuzzy Models.
Int. J. Hybrid Intell. Syst.
José Manuel Benítez, Salvador García, Santi Caballé, Angel A. Juan
2010 J jnl
Stratified prototype selection based on a steady-state memetic algorithm: a study of scalability.
Memetic Comput.
Joaquín Derrac, Salvador García, Francisco Herrera
2009 C conf
A First Approach to Nearest Hyperrectangle Selection by Evolutionary Algorithms.
ISDA
Salvador García, Joaquín Derrac, Julián Luengo, Francisco Herrera
2009 Misc conf
A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection.
HAIS
Joaquín Derrac, Salvador García, Francisco Herrera
2009 J jnl
A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability.
Soft Comput.
Salvador García, Alberto Fernández, Julián Luengo, Francisco Herrera
2009 J jnl
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
Salvador García, Daniel Molina, Manuel Lozano, Francisco Herrera
2009 J jnl
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.
Julián Luengo, Salvador García, Francisco Herrera
2009 C conf
Addressing Data-Complexity for Imbalanced Data-Sets: A Preliminary Study on the Use of Preprocessing for C4.5.
ISDA
Julián Luengo, Alberto Fernández, Salvador García, Francisco Herrera
2009 J jnl
Diagnose Effective Evolutionary Prototype Selection Using an Overlapping Measure.
Int. J. Pattern Recognit. Artif. Intell.
Salvador García, José Ramón Cano, Ester Bernadó-Mansilla, Francisco Herrera
2009 J jnl
Enhancing the effectiveness and interpretability of decision tree and rule induction classifiers with evolutionary training set selection over imbalanced problems.
Appl. Soft Comput.
Salvador García, Alberto Fernández, Francisco Herrera
2009 J jnl
Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposals and Taxonomy.
Evol. Comput.
Salvador García, Francisco Herrera
2009 J jnl
KEEL: a software tool to assess evolutionary algorithms for data mining problems.
Soft Comput.
Jesús Alcalá-Fdez, Luciano Sánchez, Salvador García, María José del Jesus, Sebastián Ventura, Josep Maria Garrell i Guiu, José Otero, Cristóbal Romero, Jaume Bacardit, Víctor M. Rivas, Juan Carlos Fernández, Francisco Herrera
2008 J jnl
A memetic algorithm for evolutionary prototype selection: A scaling up approach.
Pattern Recognit.
Salvador García, José Ramón Cano, Francisco Herrera
2008 J jnl
A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets.
Fuzzy Sets Syst.
Alberto Fernández, Salvador García, María José del Jesus, Francisco Herrera
2008 Misc conf
Design of Experiments in Computational Intelligence: On the Use of Statistical Inference.
HAIS
Salvador García, Francisco Herrera
2008 C conf
Evolutionary Training Set Selection to Optimize C4.5 in Imbalanced Problems.
HIS
Salvador García, Francisco Herrera
2008 — conf
KEEL: A data mining software tool integrating genetic fuzzy systems.
GEFS
Jesús Alcalá-Fdez, Salvador García, Francisco José Berlanga, Alberto Fernández, Luciano Sánchez, María José del Jesus, Francisco Herrera
2008 J jnl
Making CN2-SD subgroup discovery algorithm scalable to large size data sets using instance selection.
Expert Syst. Appl.
José Ramón Cano, Francisco Herrera, Manuel Lozano, Salvador García
2008 J jnl
Subgroup discover in large size data sets preprocessed using stratified instance selection for increasing the presence of minority classes.
Pattern Recognit. Lett.
José Ramón Cano, Salvador García, Francisco Herrera
2007 Misc conf
A Study on the Use of Statistical Tests for Experimentation with Neural Networks.
IWANN
Julián Luengo, Salvador García, Francisco Herrera
2007 Misc conf
A Study on the Use of the Fuzzy Reasoning Method Based on the Winning Rule vs. Voting Procedure for Classification with Imbalanced Data Sets.
IWANN
Alberto Fernández, Salvador García, María José del Jesus, Francisco Herrera
2007 — conf
An Analysis of the Rule Weights and Fuzzy Reasoning Methods for Linguistic Rule Based Classification Systems Applied to Problems with Highly Imbalanced Data Sets.
WILF
Alberto Fernández, Salvador García, Francisco Herrera, María José del Jesus
2006 C conf
A Proposal of Evolutionary Prototype Selection for Class Imbalance Problems.
IDEAL
Salvador García, José Ramón Cano, Alberto Fernández, Francisco Herrera
2006 C conf
Incorporating Knowledge in Evolutionary Prototype Selection.
IDEAL
Salvador García, José Ramón Cano, Francisco Herrera
2000 — conf
Observer dependent deformations in illustration.
NPAR
Domingo Martín, Salvador García, Juan Carlos Torres