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ORCIDJoaquín Derrac
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2010 – 2019
- 2016
[j22]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)- [j21]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) - 2015
- [j20]Joaquín Derrac, Steven Schockaert:
Inducing semantic relations from conceptual spaces: A data-driven approach to plausible reasoning. Artif. Intell. 228: 66-94 (2015) - [j19]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) - [j18]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) - [c14]Steven Schockaert, Joaquín Derrac:
Commonsense Reasoning Based on Betweenness and Direction in Distributional Models. AAAI Spring Symposia 2015 - [c13]Joaquín Derrac, Francisco Chiclana, Salvador García, Francisco Herrera:
An Interval Valued K-Nearest Neighbors Classifier. IFSA-EUSFLAT 2015 - 2014
- [j17]Joaquín Derrac, Salvador García, Francisco Herrera:
Fuzzy nearest neighbor algorithms: Taxonomy, experimental analysis and prospects. Inf. Sci. 260: 98-119 (2014) - [j16]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) - [j15]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) - [j14]José A. Sáez, Joaquín Derrac, Julián Luengo, Francisco Herrera:
Statistical computation of feature weighting schemes through data estimation for nearest neighbor classifiers. Pattern Recognit. 47(12): 3941-3948 (2014) - [c12]Joaquín Derrac, Steven Schockaert:
Characterising Semantic Relatedness using Interpretable Directions in Conceptual Spaces. ECAI 2014: 243-248 - [c11]Joaquín Derrac, Steven Schockaert:
Enriching Taxonomies of Place Types Using Flickr. FoIKS 2014: 174-192 - [c10]José A. Sáez, Joaquín Derrac, Julián Luengo, Francisco Herrera:
Improving the Behavior of the Nearest Neighbor Classifier against Noisy Data with Feature Weighting Schemes. HAIS 2014: 597-606 - 2013
- [j13]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) - [c9]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
- [j12]Isaac Triguero, Joaquín Derrac, Salvador García, Francisco Herrera:
Integrating a differential evolution feature weighting scheme into prototype generation. Neurocomputing 97: 332-343 (2012) - [j11]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) - [j10]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) - [j9]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) - [j8]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) - [j7]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) - [c8]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 - 2011
- [j6]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) - [j5]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) - [j4]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) - [c7]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 - [c6]Isaac Triguero, Joaquín Derrac, Francisco Herrera, Salvador García:
A study of the scaling up capabilities of stratified prototype generation. NaBIC 2011: 297-302 - 2010
- [j3]Joaquín Derrac, Salvador García, Francisco Herrera:
A Survey on Evolutionary Instance Selection and Generation. Int. J. Appl. Metaheuristic Comput. 1(1): 60-92 (2010) - [j2]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) - [j1]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) - [c5]Joaquín Derrac, Salvador García, Francisco Herrera:
IFS-CoCo in the Landscape Contest: Description and Results. ICPR Contests 2010: 56-65 - [c4]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
2000 – 2009
- 2009
- [c3]Joaquín Derrac, Salvador García, Francisco Herrera:
A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection. HAIS 2009: 557-564 - [c2]Alberto Fernández, Julián Luengo, Joaquín Derrac, Jesús Alcalá-Fdez, Francisco Herrera:
Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool. IDEAL 2009: 562-569 - [c1]Salvador García, Joaquín Derrac, Julián Luengo, Francisco Herrera:
A First Approach to Nearest Hyperrectangle Selection by Evolutionary Algorithms. ISDA 2009: 517-522
Coauthor Index
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