default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSalvador García 0001
Person information
- affiliation (PhD 2008): University of Granada, Department of Computer Science and Artificial Intelligence, Spain
- affiliation (former): University of Jaén, Department of Computer Science, Spain
Other persons with the same name
- Salvador García (aka: Salvador Garcia) — disambiguation page
- Salvador García 0002 — Austral University of Chile, Institute of Physical and Mathematical Sciences, Valdivia, Chile
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Books and Theses
- 2020
[b3]Julián Luengo, Diego García-Gil
, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera:
Big Data Preprocessing - Enabling Smart Data. Springer 2020, ISBN 978-3-030-39104-1, pp. 1-186- 2018
- [b2]Alberto Fernández, Salvador García, Mikel Galar, Ronaldo C. Prati, Bartosz Krawczyk, Francisco Herrera:
Learning from Imbalanced Data Sets. Springer 2018, ISBN 978-3-319-98073-7, pp. 1-377 - 2015
- [b1]Salvador García, Julián Luengo, Francisco Herrera:
Data Preprocessing in Data Mining. Intelligent Systems Reference Library 72, Springer 2015, ISBN 978-3-319-10246-7, pp. 1-313
Journal Articles
- 2025
- [j137]Germán González-Almagro, Daniel Peralta, Eli De Poorter, José Ramón Cano, Salvador García:
Semi-supervised constrained clustering: an in-depth overview, ranked taxonomy and future research directions. Artif. Intell. Rev. 58(5): 157 (2025) - [j136]Mohammad Sultan Mahmud, Hua Zheng, Diego García-Gil, Salvador García, Joshua Zhexue Huang:
RSPCA: Random Sample Partition and Clustering Approximation for ensemble learning of big data. Pattern Recognit. 161: 111321 (2025) - [j135]Pourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, Eric Granger, Salvador García:
Hybrid Gromov-Wasserstein Embedding for Capsule Learning. IEEE Trans. Neural Networks Learn. Syst. 36(2): 2480-2494 (2025) - 2024
- [j134]Juan-Luis Suárez, Germán González-Almagro, Salvador García, Francisco Herrera:
Metric learning for monotonic classification: turning the space up to the limits of monotonicity. Appl. Intell. 54(5): 4443-4466 (2024) - [j133]Chenquan Gan, Xiaopeng Cao, Qingyi Zhu, Deepak Kumar Jain, Salvador García:
Enhancing microblog sentiment analysis through multi-level feature interaction fusion with social relationship guidance. Appl. Intell. 54(11-12): 443-459 (2024) - [j132]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: 111141 (2024) - [j131]Xuehui Yin, Jun Zeng, Tianxiao Hou, Chao Tang, Chenquan Gan, Deepak Kumar Jain, Salvador García:
RSAFormer: A method of polyp segmentation with region self-attention transformer. Comput. Biol. Medicine 172: 108268 (2024) - [j130]Diego García-Gil, Salvador García, Ning Xiong, Francisco Herrera:
Smart Data Driven Decision Trees Ensemble Methodology for Imbalanced Big Data. Cogn. Comput. 16(4): 1572-1588 (2024) - [j129]Deepak Kumar Jain, Xudong Zhao, Salvador García, Neelakandan Subramani:
Robust multi-modal pedestrian detection using deep convolutional neural network with ensemble learning model. Expert Syst. Appl. 249: 123527 (2024) - [j128]Mohammad Sultan Mahmud, Joshua Zhexue Huang, Salvador García:
Clustering approximation via a fusion of multiple random samples. Inf. Fusion 101: 101986 (2024) - [j127]Germán González-Almagro, Pablo Sánchez Bermejo, Juan-Luis Suárez, José Ramón Cano, Salvador García:
Semi-supervised clustering with two types of background knowledge: Fusing pairwise constraints and monotonicity constraints. Inf. Fusion 102: 102064 (2024) - [j126]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: 102134 (2024) - [j125]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: 120383 (2024) - [j124]Chenquan Gan, Yu Tang, Xiang Fu, Qingyi Zhu, Deepak Kumar Jain, Salvador García:
Video multimodal sentiment analysis using cross-modal feature translation and dynamical propagation. Knowl. Based Syst. 299: 111982 (2024) - [j123]Behrouz Ahadzadeh, Moloud Abdar, Mahdieh Foroumandi, Fatemeh Safara, Abbas Khosravi, Salvador García, Ponnuthurai Nagaratnam Suganthan:
UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data. Swarm Evol. Comput. 91: 101715 (2024) - [j122]Massimo Salvi, Madhav R. Acharya, Silvia Seoni, Oliver Faust, Ru San Tan, Prabal Datta Barua, Salvador García, Filippo Molinari, U. Rajendra Acharya:
Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013-2023). WIREs Data. Mining. Knowl. Discov. 14(3) (2024) - 2023
- [j121]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: 107312 (2023) - [j120]Chenquan Gan, Kexin Wang, Qingyi Zhu, Yong Xiang, Deepak Kumar Jain, Salvador García:
Speech emotion recognition via multiple fusion under spatial-temporal parallel network. Neurocomputing 555: 126623 (2023) - [j119]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: 101813 (2023) - [j118]Pourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, Salvador García, Eric Granger, Jie Yang:
GEN: Generative Equivariant Networks for Diverse Image-to-Image Translation. IEEE Trans. Cybern. 53(2): 874-886 (2023) - [j117]Alejandro Rosales-Pérez, Salvador García, Francisco Herrera:
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization. IEEE Trans. Cybern. 53(8): 4735-4747 (2023) - 2022
- [j116]Germán González-Almagro, Juan-Luis Suárez, Julián Luengo, José Ramón Cano, Salvador García:
3SHACC: Three stages hybrid agglomerative constrained clustering. Neurocomputing 490: 441-461 (2022) - 2021
- [j115]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: 85488-85499 (2021) - [j114]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: 107033 (2021) - [j113]Katarzyna Stapor, Pawel Ksieniewicz, Salvador García, Michal Wozniak:
How to design the fair experimental classifier evaluation. Appl. Soft Comput. 104: 107219 (2021) - [j112]Germán González-Almagro, Julián Luengo, José Ramón Cano, Salvador García:
Enhancing instance-level constrained clustering through differential evolution. Appl. Soft Comput. 108: 107435 (2021) - [j111]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: 259-260 (2021) - [j110]Juan-Luis Suárez, Salvador García, Francisco Herrera:
A tutorial on distance metric learning: Mathematical foundations, algorithms, experimental analysis, prospects and challenges. Neurocomputing 425: 300-322 (2021) - [j109]Sergio González, Salvador García, Sheng-Tun Li, Robert Ivor John, Francisco Herrera:
Fuzzy k-nearest neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise. Neurocomputing 439: 106-121 (2021) - [j108]Manuel González, Germán González-Almagro, Isaac Triguero, José Ramón Cano, Salvador García:
Decomposition-Fusion for Label Distribution Learning. Inf. Fusion 66: 64-75 (2021) - [j107]Manuel González, Julián Luengo, José Ramón Cano, Salvador García:
Synthetic Sample Generation for Label Distribution Learning. Inf. Sci. 544: 197-213 (2021) - [j106]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: 124-139 (2021) - [j105]Pourya Shamsolmoali, Salvador García, Huiyu Zhou, M. Emre Celebi:
Advances in domain adaptation for computer vision. Image Vis. Comput. 114: 104268 (2021) - [j104]Juan-Luis Suárez, Salvador García, Francisco Herrera:
Ordinal regression with explainable distance metric learning based on ordered sequences. Mach. Learn. 110(10): 2729-2762 (2021) - [j103]Néstor Rodríguez, David López, Alberto Fernández, Salvador García, Francisco Herrera:
SOUL: Scala Oversampling and Undersampling Library for imbalance classification. SoftwareX 15: 100767 (2021) - [j102]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: 100939 (2021) - 2020
- [j101]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): 897-939 (2020) - [j100]Germán González-Almagro, Julián Luengo, José Ramón Cano, Salvador García:
DILS: Constrained clustering through dual iterative local search. Comput. Oper. Res. 121: 104979 (2020) - [j99]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: 82-115 (2020) - [j98]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: 205-237 (2020) - [j97]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: 385-401 (2020) - [j96]Juan-Luis Suárez, Salvador García, Francisco Herrera:
pyDML: A Python Library for Distance Metric Learning. J. Mach. Learn. Res. 21: 96:1-96:7 (2020) - [j95]Jacinto Carrasco, Salvador García, María del Mar Rueda, Swagatam 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: 100665 (2020) - [j94]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): 874-886 (2020) - 2019
- [j93]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): 3260-3274 (2019) - [j92]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: 168-182 (2019) - [j91]José Ramón Cano, Julián Luengo, Salvador García:
Label noise filtering techniques to improve monotonic classification. Neurocomputing 353: 83-95 (2019) - [j90]Ignacio Cordón, Julián Luengo, Salvador García, Francisco Herrera, Francisco Charte:
Smartdata: Data preprocessing to achieve smart data in R. Neurocomputing 360: 1-13 (2019) - [j89]Sergio González, Salvador García, Sheng-Tun Li, Francisco Herrera:
Chain based sampling for monotonic imbalanced classification. Inf. Sci. 474: 187-204 (2019) - [j88]Diego García-Gil, Julián Luengo, Salvador García, Francisco Herrera:
Enabling Smart Data: Noise filtering in Big Data classification. Inf. Sci. 479: 135-152 (2019) - [j87]Bartosz Krawczyk, Isaac Triguero, Salvador García, Michal Wozniak, Francisco Herrera:
Instance reduction for one-class classification. Knowl. Inf. Syst. 59(3): 601-628 (2019) - [j86]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): 1-14 (2019) - [j85]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): 287-292 (2019) - [j84]Abdellatif El Afia, Oussama Aoun, Salvador García:
Adaptive cooperation of multi-swarm particle swarm optimizer-based hidden Markov model. Prog. Artif. Intell. 8(4): 441-452 (2019) - [j83]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) - 2018
- [j82]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): 18-29 (2018) - [j81]Sergio Ramírez-Gallego, Salvador García, Francisco Herrera:
Online entropy-based discretization for data streaming classification. Future Gener. Comput. Syst. 86: 59-70 (2018) - [j80]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): 213-230 (2018) - [j79]Zhong-Liang 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: 176-187 (2018) - [j78]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: 51-61 (2018) - [j77]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: 78-96 (2018) - [j76]Salvador García, Zhong-Liang Zhang, Abdulrahman H. Altalhi, Saleh Alshomrani, Francisco Herrera:
Dynamic ensemble selection for multi-class imbalanced datasets. Inf. Sci. 445-446: 22-37 (2018) - [j75]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: 863-905 (2018) - [j74]Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera:
Principal Components Analysis Random Discretization Ensemble for Big Data. Knowl. Based Syst. 150: 166-174 (2018) - [j73]Ignacio Cordón, Salvador García, Alberto Fernández, Francisco Herrera:
Imbalance: Oversampling algorithms for imbalanced classification in R. Knowl. Based Syst. 161: 329-341 (2018) - [j72]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: 240-250 (2018) - 2017
- [j71]Zhong-Liang 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: 357-367 (2017) - [j70]José Ramón Cano, Salvador García:
Training set selection for monotonic ordinal classification. Data Knowl. Eng. 112: 94-105 (2017) - [j69]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: 128-135 (2017) - [j68]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): 1238-1249 (2017) - [j67]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: 39-57 (2017) - [j66]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): 87-108 (2017) - [j65]Daniel Peralta, Salvador García, José Manuel Benítez, Francisco Herrera:
Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks. Inf. Sci. 408: 198-212 (2017) - [j64]Zhong-Liang 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: 53-63 (2017) - [j63]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: 91-103 (2017) - [j62]Javier García, Habib M. Fardoun, Daniyal M. Alghazzawi, José Ramón Cano, Salvador García:
MoNGEL: monotonic nested generalized exemplar learning. Pattern Anal. Appl. 20(2): 441-452 (2017) - [j61]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: 12-24 (2017) - [j60]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): 863-877 (2017) - [j59]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): 1376-1390 (2017) - [j58]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): 2727-2739 (2017) - 2016
- [j57]Nele Verbiest, Joaquín Derrac, Chris Cornelis, Salvador García, Francisco Herrera:
Evolutionary wrapper approaches for training set selection as preprocessing mechanism for support vector machines: Experimental evaluation and support vector analysis. Appl. Soft Comput. 38: 10-22 (2016) - [j56]Javier García, Adnan Al-bar, Naif R. Aljohani, José Ramón Cano, Salvador García:
Hyperrectangles Selection for Monotonic Classification by Using Evolutionary Algorithms. Int. J. Comput. Intell. Syst. 9(1): 184-201 (2016) - [j55]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: 40-51 (2016) - [j54]Joaquín Derrac, Francisco Chiclana, Salvador García, Francisco Herrera:
Evolutionary fuzzy k-nearest neighbors algorithm using interval-valued fuzzy sets. Inf. Sci. 329: 144-163 (2016) - [j53]Salvador García, Julián Luengo, Francisco Herrera:
Tutorial on practical tips of the most influential data preprocessing algorithms in data mining. Knowl. Based Syst. 98: 1-29 (2016) - [j52]Zhongliang Zhang, Bartosz Krawczyk, Salvador García, Alejandro Rosales-Pérez, Francisco Herrera:
Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data. Knowl. Based Syst. 106: 251-263 (2016) - [j51]Salvador Gutiérrez, Salvador García:
Landmark-based music recognition system optimisation using genetic algorithms. Multim. Tools Appl. 75(24): 16905-16922 (2016) - [j50]Pedro Antonio Gutiérrez, Salvador García:
Current prospects on ordinal and monotonic classification. Prog. Artif. Intell. 5(3): 171-179 (2016) - [j49]Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera:
Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification. IEEE Trans. Cybern. 46(3): 595-608 (2016) - [j48]Sergio Ramírez-Gallego, Salvador García, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, José Manuel Benítez, Francisco Herrera:
Data discretization: taxonomy and big data challenge. WIREs Data Mining Knowl. Discov. 6(1): 5-21 (2016) - 2015
- [j47]Isaac Triguero, Daniel Peralta, Jaume Bacardit, Salvador García, Francisco Herrera:
MRPR: A MapReduce solution for prototype reduction in big data classification. Neurocomputing 150: 331-345 (2015) - [j46]Daniel Peralta, Mikel Galar, Isaac Triguero, Daniel Paternain, Salvador García, Edurne Barrenechea, José Manuel Benítez, Humberto Bustince, Francisco Herrera:
A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation. Inf. Sci. 315: 67-87 (2015) - [j45]Isaac Triguero, Salvador García, Francisco Herrera:
Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study. Knowl. Inf. Syst. 42(2): 245-284 (2015) - [j44]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:
A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models. Knowl. Based Syst. 81: 76-97 (2015) - [j43]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:
A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal. Knowl. Based Syst. 81: 98-116 (2015) - [j42]Sergio González, Francisco Herrera, Salvador García:
Monotonic Random Forest with an Ensemble Pruning Mechanism based on the Degree of Monotonicity. New Gener. Comput. 33(4): 367-388 (2015) - [j41]Isaac Triguero, Salvador García, Francisco Herrera:
SEG-SSC: A Framework Based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification. IEEE Trans. Cybern. 45(4): 622-634 (2015) - 2014
- [j40]Victoria López, Isaac Triguero, Cristóbal J. Carmona, Salvador García, Francisco Herrera:
Addressing imbalanced classification with instance generation techniques: IPADE-ID. Neurocomputing 126: 15-28 (2014) - [j39]Isaac Triguero, José A. Sáez, Julián Luengo, Salvador García, Francisco Herrera:
On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification. Neurocomputing 132: 30-41 (2014) - [j38]Joaquín Derrac, Salvador García, Francisco Herrera:
Fuzzy nearest neighbor algorithms: Taxonomy, experimental analysis and prospects. Inf. Sci. 260: 98-119 (2014) - [j37]Joaquín Derrac, Salvador García, Sheldon Hui, Ponnuthurai Nagaratnam Suganthan, Francisco Herrera:
Analyzing convergence performance of evolutionary algorithms: A statistical approach. Inf. Sci. 289: 41-58 (2014) - [j36]Salvador García, Joaquín Derrac, Sergio Ramírez-Gallego, Francisco Herrera:
On the statistical analysis of the parameters' trend in a machine learning algorithm. Prog. Artif. Intell. 3(1): 51-53 (2014) - 2013
- [j35]Victoria López, Alberto Fernández, Salvador García, Vasile Palade, Francisco Herrera:
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics. Inf. Sci. 250: 113-141 (2013) - [j34]Joaquín Derrac, Nele Verbiest, Salvador García, Chris Cornelis, Francisco Herrera:
On the use of evolutionary feature selection for improving fuzzy rough set based prototype selection. Soft Comput. 17(2): 223-238 (2013) - [j33]Salvador García, Julián Luengo, José Antonio Sáez, Victoria López, Francisco Herrera:
A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning. IEEE Trans. Knowl. Data Eng. 25(4): 734-750 (2013) - 2012
- [j32]Cristóbal J. Carmona, Sergio Ramírez-Gallego, F. J. Torres, Enrique Bernal, María José del Jesus, Salvador García:
Web usage mining to improve the design of an e-commerce website: OrOliveSur.com. Expert Syst. Appl. 39(12): 11243-11249 (2012) - [j31]Isaac Triguero, Joaquín Derrac, Salvador García, Francisco Herrera:
Integrating a differential evolution feature weighting scheme into prototype generation. Neurocomputing 97: 332-343 (2012) - [j30]Joaquín Derrac, Chris Cornelis, Salvador García, Francisco Herrera:
Enhancing evolutionary instance selection algorithms by means of fuzzy rough set based feature selection. Inf. Sci. 186(1): 73-92 (2012) - [j29]Julián Luengo, Salvador García, Francisco Herrera:
On the choice of the best imputation methods for missing values considering three groups of classification methods. Knowl. Inf. Syst. 32(1): 77-108 (2012) - [j28]Salvador García, Joaquín Derrac, Isaac Triguero, Cristóbal J. Carmona, Francisco Herrera:
Evolutionary-based selection of generalized instances for imbalanced classification. Knowl. Based Syst. 25(1): 3-12 (2012) - [j27]Salvador García, Joaquín Derrac, José Ramón Cano, Francisco Herrera:
Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study. IEEE Trans. Pattern Anal. Mach. Intell. 34(3): 417-435 (2012) - [j26]Isaac Triguero, Joaquín Derrac, Salvador García, Francisco Herrera:
A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification. IEEE Trans. Syst. Man Cybern. Part C 42(1): 86-100 (2012) - [j25]Joaquín Derrac, Isaac Triguero, Salvador García, Francisco Herrera:
Integrating Instance Selection, Instance Weighting, and Feature Weighting for Nearest Neighbor Classifiers by Coevolutionary Algorithms. IEEE Trans. Syst. Man Cybern. Part B 42(5): 1383-1397 (2012) - 2011
- [j24]Salvador García, Joaquín Derrac, Julián Luengo, Cristóbal J. Carmona, Francisco Herrera:
Evolutionary selection of hyperrectangles in nested generalized exemplar learning. Appl. Soft Comput. 11(3): 3032-3045 (2011) - [j23]Jesús Alcalá-Fdez, Alberto Fernández, Julián Luengo, Joaquín Derrac, Salvador García:
KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework. J. Multiple Valued Log. Soft Comput. 17(2-3): 255-287 (2011) - [j22]Isaac Triguero, Salvador García, Francisco Herrera:
Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification. Pattern Recognit. 44(4): 901-916 (2011) - [j21]Julián Luengo, Alberto Fernández, Salvador García, Francisco Herrera:
Addressing data complexity for imbalanced data sets: analysis of SMOTE-based oversampling and evolutionary undersampling. Soft Comput. 15(10): 1909-1936 (2011) - [j20]Joaquín Derrac, Salvador García, Daniel Molina, Francisco Herrera:
A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms. Swarm Evol. Comput. 1(1): 3-18 (2011) - 2010
- [j19]Joaquín Derrac, Salvador García, Francisco Herrera:
A Survey on Evolutionary Instance Selection and Generation. Int. J. Appl. Metaheuristic Comput. 1(1): 60-92 (2010) - [j18]José Manuel Benítez, Salvador García, Santi Caballé, Angel A. Juan:
Special issue on Hybrid Fuzzy Models. Int. J. Hybrid Intell. Syst. 7(1): 1 (2010) - [j17]Salvador García, Alberto Fernández, Julián Luengo, Francisco Herrera:
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power. Inf. Sci. 180(10): 2044-2064 (2010) - [j16]Joaquín Derrac, Salvador García, Francisco Herrera:
Stratified prototype selection based on a steady-state memetic algorithm: a study of scalability. Memetic Comput. 2(3): 183-199 (2010) - [j15]Julián Luengo, Salvador García, Francisco Herrera:
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 23(3): 406-418 (2010) - [j14]Joaquín Derrac, Salvador García, Francisco Herrera:
IFS-CoCo: Instance and feature selection based on cooperative coevolution with nearest neighbor rule. Pattern Recognit. 43(6): 2082-2105 (2010) - [j13]Alberto Fernández, Salvador García, Julián Luengo, Ester Bernadó-Mansilla, Francisco Herrera:
Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy, and Comparative Study. IEEE Trans. Evol. Comput. 14(6): 913-941 (2010) - [j12]Isaac Triguero, Salvador García, Francisco Herrera:
IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification. IEEE Trans. Neural Networks 21(12): 1984-1990 (2010) - 2009
- [j11]Salvador García, Alberto Fernández, Francisco Herrera:
Enhancing the effectiveness and interpretability of decision tree and rule induction classifiers with evolutionary training set selection over imbalanced problems. Appl. Soft Comput. 9(4): 1304-1314 (2009) - [j10]Salvador García, Francisco Herrera:
Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposals and Taxonomy. Evol. Comput. 17(3): 275-306 (2009) - [j9]Julián Luengo, Salvador García, Francisco Herrera:
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. 36(4): 7798-7808 (2009) - [j8]Salvador García, Daniel Molina, Manuel Lozano, Francisco Herrera:
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 15(6): 617-644 (2009) - [j7]Salvador García, José Ramón Cano, Ester Bernadó-Mansilla, Francisco Herrera:
Diagnose Effective Evolutionary Prototype Selection Using an Overlapping Measure. Int. J. Pattern Recognit. Artif. Intell. 23(8): 1527-1548 (2009) - [j6]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:
KEEL: a software tool to assess evolutionary algorithms for data mining problems. Soft Comput. 13(3): 307-318 (2009) - [j5]Salvador García, Alberto Fernández, Julián Luengo, Francisco Herrera:
A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability. Soft Comput. 13(10): 959-977 (2009) - 2008
- [j4]José Ramón Cano, Francisco Herrera, Manuel Lozano, Salvador García:
Making CN2-SD subgroup discovery algorithm scalable to large size data sets using instance selection. Expert Syst. Appl. 35(4): 1949-1965 (2008) - [j3]Alberto Fernández, Salvador García, María José del Jesus, Francisco Herrera:
A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets. Fuzzy Sets Syst. 159(18): 2378-2398 (2008) - [j2]Salvador García, José Ramón Cano, Francisco Herrera:
A memetic algorithm for evolutionary prototype selection: A scaling up approach. Pattern Recognit. 41(8): 2693-2709 (2008) - [j1]José Ramón Cano, Salvador García, Francisco Herrera:
Subgroup discover in large size data sets preprocessed using stratified instance selection for increasing the presence of minority classes. Pattern Recognit. Lett. 29(16): 2156-2164 (2008)
Conference and Workshop Papers
- 2024
- [c51]Masoumeh Zareapoor, Pourya Shamsolmoali, Huiyu Zhou, Yue Lu, Salvador García:
Fractional Correspondence Framework in Detection Transformer. ACM Multimedia 2024: 5498-5506 - 2022
- [c50]Szymon Wojciechowski, Germán González-Almagro, Salvador García, Michal Wozniak:
Adapting K-Means Algorithm for Pair-Wise Constrained Clustering of Imbalanced Data Streams. HAIS 2022: 153-163 - [c49]Germán González-Almagro, Pablo Sánchez Bermejo, Juan-Luis Suárez, José Ramón Cano, Salvador García:
Monotonic Constrained Clustering: A First Approach. IEA/AIE 2022: 725-736 - [c48]Juan-Luis Suárez, Germán González-Almagro, Salvador García, Francisco Herrera:
A Preliminary Approach for using Metric Learning in Monotonic Classification. IEA/AIE 2022: 773-784 - 2021
- [c47]Juan-Luis Suárez, Salvador García, Francisco Herrera:
Ordinal Regression with Explainable Distance Metric Learning Based on Ordered Sequences: Extended Abstract. DSAA 2021: 1-2 - [c46]Juan-Luis Suárez, Salvador García, Francisco Herrera:
Distance Metric Learning with Prototype Selection for Imbalanced Classification. HAIS 2021: 391-402 - 2020
- [c45]Hoang Lam Le, Dario Landa-Silva, Mikel Galar, Salvador García, Isaac Triguero:
A Hybrid Surrogate Model for Evolutionary Undersampling in Imbalanced Classification. CEC 2020: 1-8 - [c44]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: 333-341 - [c43]Germán González-Almagro, Juan-Luis Suárez, Julián Luengo, José Ramón Cano, Salvador García:
Agglomerative Constrained Clustering Through Similarity and Distance Recalculation. HAIS 2020: 424-436 - [c42]José Ramón Cano, Julián Luengo, Salvador García:
Similarity-based and Iterative Label Noise Filters for Monotonic Classification. HICSS 2020: 1-9 - 2019
- [c41]Besay Montesdeoca, Julián Luengo, Jesús Maillo, Diego García-Gil, Salvador García, Francisco Herrera:
A First Approach on Big Data Missing Values Imputation. IoTBDS 2019: 315-323 - [c40]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: 324-331 - 2018
- [c39]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: 1-8 - [c38]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: 513-520 - [c37]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: 15-26 - [c36]José Ramón Cano, Salvador García:
A First Attempt on Monotonic Training Set Selection. HAIS 2018: 277-288 - [c35]Oussama Aoun, Abdellatif El Afia, Salvador García:
Self Inertia Weight Adaptation for the Particle Swarm Optimization. LOPAL 2018: 8:1-8:6 - 2017
- [c34]Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera, Isaac Triguero:
Exact fuzzy k-nearest neighbor classification for big datasets. FUZZ-IEEE 2017: 1-6 - [c33]Jacinto Carrasco, Salvador García, María del Mar Rueda, Francisco Herrera:
rNPBST: An R Package Covering Non-parametric and Bayesian Statistical Tests. HAIS 2017: 281-292 - 2016
- [c32]Javier García, José Ramón Cano, Salvador García:
A Nearest Hyperrectangle Monotonic Learning Method. HAIS 2016: 311-322 - [c31]Sergio González, Francisco Herrera, Salvador García:
Managing Monotonicity in Classification by a Pruned AdaBoost. HAIS 2016: 512-523 - [c30]Isaac Triguero, Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera:
From Big Data to Smart Data with the K-Nearest Neighbours Algorithm. iThings/GreenCom/CPSCom/SmartData 2016: 859-864 - 2015
- [c29]Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera:
A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees. CORES 2015: 47-58 - [c28]Joaquín Derrac, Francisco Chiclana, Salvador García, Francisco Herrera:
An Interval Valued K-Nearest Neighbors Classifier. IFSA-EUSFLAT 2015 - [c27]Sergio González, Francisco Herrera, Salvador García:
Managing Monotonicity in Classification by a Pruned Random Forest. IDEAL 2015: 53-60 - [c26]Sergio Ramírez-Gallego, Salvador García, Héctor Mouriño-Talín, David Martínez-Rego:
Distributed Entropy Minimization Discretizer for Big Data Analysis under Apache Spark. TrustCom/BigDataSE/ISPA (2) 2015: 33-40 - 2014
- [c25]Bartosz Krawczyk, Isaac Triguero, Salvador García, Michal Wozniak, Francisco Herrera:
A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification. IEEE Congress on Evolutionary Computation 2014: 747-753 - [c24]Isaac Triguero, Daniel Peralta, Jaume Bacardit, Salvador García, Francisco Herrera:
A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation. IEEE Congress on Evolutionary Computation 2014: 3036-3043 - 2013
- [c23]Joaquín Derrac, Salvador García, Sheldon Hui, Francisco Herrera, Ponnuthurai Nagaratnam Suganthan:
Statistical analysis of convergence performance throughout the evolutionary search: A case study with SaDE-MMTS and Sa-EPSDE-MMTS. SDE 2013: 151-156 - 2012
- [c22]Joaquín Derrac, Isaac Triguero, Salvador García, Francisco Herrera:
A Co-evolutionary Framework for Nearest Neighbor Enhancement: Combining Instance and Feature Weighting with Instance Selection. HAIS (2) 2012: 176-187 - [c21]Cristóbal J. Carmona, Sergio Ramírez-Gallego, F. J. Torres, Enrique Bernal, María José del Jesus, Salvador García:
Subgroup Discovery Applied to the e-Commerce Website OrOliveSur.com. ICEIS (2) 2012: 239-244 - [c20]Salvador García, Victoria López, Julián Luengo, Cristóbal J. Carmona, Francisco Herrera:
A Preliminary Study on Selecting the Optimal Cut Points in Discretization by Evolutionary Algorithms. ICPRAM (1) 2012: 211-216 - 2011
- [c19]Alberto Fernández, Salvador García, Francisco Herrera:
Addressing the Classification with Imbalanced Data: Open Problems and New Challenges on Class Distribution. HAIS (1) 2011: 1-10 - [c18]Isaac Triguero, Salvador García, Francisco Herrera:
Enhancing IPADE Algorithm with a Different Individual Codification. HAIS (2) 2011: 262-270 - [c17]Joaquín Derrac, Chris Cornelis, Salvador García, Francisco Herrera:
A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorithms. IWANN (1) 2011: 174-182 - [c16]Isaac Triguero, Joaquín Derrac, Francisco Herrera, Salvador García:
A study of the scaling up capabilities of stratified prototype generation. NaBIC 2011: 297-302 - 2010
- [c15]Isaac Triguero, Salvador García, Francisco Herrera:
A preliminary study on the use of differential evolution for adjusting the position of examples in nearest neighbor classification. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c14]Joaquín Derrac, Salvador García, Francisco Herrera:
IFS-CoCo in the Landscape Contest: Description and Results. ICPR Contests 2010: 56-65 - [c13]Salvador García, Joaquín Derrac, Isaac Triguero, Cristóbal J. Carmona, Francisco Herrera:
A Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification. IEA/AIE (1) 2010: 601-610 - 2009
- [c12]Joaquín Derrac, Salvador García, Francisco Herrera:
A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection. HAIS 2009: 557-564 - [c11]Salvador García, Joaquín Derrac, Julián Luengo, Francisco Herrera:
A First Approach to Nearest Hyperrectangle Selection by Evolutionary Algorithms. ISDA 2009: 517-522 - [c10]Julián Luengo, Alberto Fernández, Salvador García, Francisco Herrera:
Addressing Data-Complexity for Imbalanced Data-Sets: A Preliminary Study on the Use of Preprocessing for C4.5. ISDA 2009: 523-528 - 2008
- [c9]Jesús Alcalá-Fdez, Salvador García, Francisco José Berlanga, Alberto Fernández, Luciano Sánchez, María José del Jesus, Francisco Herrera:
KEEL: A data mining software tool integrating genetic fuzzy systems. GEFS 2008: 83-88 - [c8]Salvador García, Francisco Herrera:
Design of Experiments in Computational Intelligence: On the Use of Statistical Inference. HAIS 2008: 4-14 - [c7]Salvador García, Francisco Herrera:
Evolutionary Training Set Selection to Optimize C4.5 in Imbalanced Problems. HIS 2008: 567-572 - 2007
- [c6]Julián Luengo, Salvador García, Francisco Herrera:
A Study on the Use of Statistical Tests for Experimentation with Neural Networks. IWANN 2007: 72-79 - [c5]Alberto Fernández, Salvador García, María José del Jesus, Francisco Herrera:
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 2007: 375-382 - [c4]Alberto Fernández, Salvador García, Francisco Herrera, María José del Jesus:
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 2007: 170-178 - 2006
- [c3]Salvador García, José Ramón Cano, Francisco Herrera:
Incorporating Knowledge in Evolutionary Prototype Selection. IDEAL 2006: 1358-1366 - [c2]Salvador García, José Ramón Cano, Alberto Fernández, Francisco Herrera:
A Proposal of Evolutionary Prototype Selection for Class Imbalance Problems. IDEAL 2006: 1415-1423 - 2000
- [c1]Domingo Martín, Salvador García, Juan Carlos Torres:
Observer dependent deformations in illustration. NPAR 2000: 75-82
Parts in Books or Collections
- 2010
- [p1]Salvador García, José Ramón Cano, Francisco Herrera:
A Review on Evolutionary Prototype Selection. Intelligent Systems for Automated Learning and Adaptation 2010: 92-113
Informal and Other Publications
- 2025
- [i21]Masoumeh Zareapoor, Pourya Shamsolmoali, Huiyu Zhou, Yue Lu, Salvador García:
Fractional Correspondence Framework in Detection Transformer. CoRR abs/2503.04107 (2025) - 2024
- [i20]Javier Poyatos, Javier Del Ser, Salvador García, Hisao Ishibuchi, Daniel Molina, Isaac Triguero, Bing Xue, Xin Yao, Francisco Herrera:
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects. CoRR abs/2407.08745 (2024) - 2023
- [i19]Germán González-Almagro, Juan-Luis Suárez, Pablo Sánchez Bermejo, José Ramón Cano, Salvador García:
Semi-supervised Clustering with Two Types of Background Knowledge: Fusing Pairwise Constraints and Monotonicity Constraints. CoRR abs/2302.14060 (2023) - [i18]Germán González-Almagro, Daniel Peralta, Eli De Poorter, José Ramón Cano, Salvador García:
Semi-Supervised Constrained Clustering: An In-Depth Overview, Ranked Taxonomy and Future Research Directions. CoRR abs/2303.00522 (2023) - 2022
- [i17]Alejandro Rosales-Pérez, Salvador García, Francisco Herrera:
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization. CoRR abs/2204.10231 (2022) - [i16]Pourya Shamsolmoali, Masoumeh Zareapoor, Swagatam Das, Eric Granger, Salvador García:
Wasserstein Embedding for Capsule Learning. CoRR abs/2209.00232 (2022) - 2020
- [i15]Diego García-Gil, Johan Holmberg, Salvador García, Ning Xiong, Francisco Herrera:
Smart Data based Ensemble for Imbalanced Big Data Classification. CoRR abs/2001.05759 (2020) - [i14]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 abs/2002.08136 (2020) - [i13]Jacinto Carrasco, Salvador García, María del Mar Rueda, Swagatam 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 abs/2002.09227 (2020) - [i12]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 abs/2003.02601 (2020) - 2019
- [i11]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 abs/1910.10045 (2019) - 2018
- [i10]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 abs/1801.01586 (2018) - [i9]Sergio Ramírez-Gallego, Salvador García, Ning Xiong, Francisco Herrera:
BELIEF: A distance-based redundancy-proof feature selection method for Big Data. CoRR abs/1804.05774 (2018) - [i8]Alejandro Alcalde-Barros, Diego García-Gil, Salvador García, Francisco Herrera:
DPASF: A Flink Library for Streaming Data preprocessing. CoRR abs/1810.06021 (2018) - [i7]José Ramón Cano, Julián Luengo, Salvador García:
Label Noise Filtering Techniques to Improve Monotonic Classification. CoRR abs/1810.08914 (2018) - [i6]M. Cristina Heredia-Gómez, Salvador García, Pedro Antonio Gutiérrez, Francisco Herrera:
OCAPIS: R package for Ordinal Classification And Preprocessing In Scala. CoRR abs/1810.09733 (2018) - [i5]José Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk, Michal Wozniak, Salvador García:
Monotonic classification: an overview on algorithms, performance measures and data sets. CoRR abs/1811.07155 (2018) - [i4]David Charte, Francisco Charte, Salvador García, Francisco Herrera:
A snapshot on nonstandard supervised learning problems: taxonomy, relationships and methods. CoRR abs/1811.12044 (2018) - [i3]Juan-Luis Suárez, Salvador García, Francisco Herrera:
A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms and Software. CoRR abs/1812.05944 (2018) - 2017
- [i2]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 abs/1703.07270 (2017) - [i1]Diego García-Gil, Julián Luengo, Salvador García, Francisco Herrera:
Enabling Smart Data: Noise filtering in Big Data classification. CoRR abs/1704.01770 (2017)
Coauthor Index
[b3] [b2] [b1] [j134] [j130] [j117] [j115] [j110] [j109] [j106] [j104] [j103] [j101] [j99] [j98] [j97] [j96] [j95] [j94] [j93] [j90] [j89] [j88] [j87] [j86] [j85] [j83] [j82] [j81] [j80] [j79] [j78] [j77] [j76] [j75] [j74] [j73] [j72] [j71] [j68] [j67] [j65] [j64] [j63] [j61] [j60] [j58] [j57] [j55] [j54] [j53] [j52] [j49] [j48] [j47] [j46] [j45] [j44] [j43] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [j22] [j21] [j20] [j19] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c48] [c47] [c46] [c41] [c40] [c39] [c38] [c37] [c34] [c33] [c31] [c30] [c29] [c28] [c27] [c25] [c24] [c23] [c22] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [p1] [i20] [i17] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i6] [i4] [i3] [i2] [i1]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-06-17 00:28 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
