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ORCIDFrancisco Javier García Castellano
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- affiliation: Universidad de Granada, Spain
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Journal Articles
- 2022
[j23]Serafín Moral-García, Carlos Javier Mantas, Javier G. Castellano
, Joaquín Abellán:
Using Credal C4.5 for Calibrated Label Ranking in Multi-Label Classification. Int. J. Approx. Reason. 147: 60-77 (2022)- [j22]Serafín Moral-García, Javier G. Castellano, Carlos Javier Mantas, Joaquín Abellán:
A new label ordering method in Classifier Chains based on imprecise probabilities. Neurocomputing 487: 34-45 (2022) - [j21]Serafín Moral-García, Javier G. Castellano, Carlos Javier Mantas, Joaquín Abellán:
Using extreme prior probabilities on the Naive Credal Classifier. Knowl. Based Syst. 237: 107707 (2022) - 2021
- [j20]Javier G. Castellano, Serafín Moral-García, Carlos Javier Mantas, María D. Benítez, Joaquín Abellán:
A Decision Support Tool for Credit Domains: Bayesian Network with a Variable Selector Based on Imprecise Probabilities. Int. J. Fuzzy Syst. 23(7): 2004-2020 (2021) - 2020
- [j19]Serafín Moral-García, Carlos Javier Mantas, Javier G. Castellano, Joaquín Abellán:
Non-parametric predictive inference for solving multi-label classification. Appl. Soft Comput. 88: 106011 (2020) - [j18]Serafín Moral-García, Carlos Javier Mantas, Javier G. Castellano, María D. Benítez, Joaquín Abellán:
Bagging of credal decision trees for imprecise classification. Expert Syst. Appl. 141 (2020) - [j17]Javier G. Castellano, Serafín Moral-García, Carlos Javier Mantas, Joaquín Abellán:
On the Use of m-Probability-Estimation and Imprecise Probabilities in the Naïve Bayes Classifier. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 28(4): 661-682 (2020) - 2019
- [j16]Serafín Moral-García, Javier G. Castellano, Carlos Javier Mantas, Alfonso Montella, Joaquín Abellán:
Decision Tree Ensemble Method for Analyzing Traffic Accidents of Novice Drivers in Urban Areas. Entropy 21(4): 360 (2019) - [j15]Serafín Moral-García, Carlos Javier Mantas, Javier G. Castellano, Joaquín Abellán:
Ensemble of classifier chains and Credal C4.5 for solving multi-label classification. Prog. Artif. Intell. 8(2): 195-213 (2019) - [j14]Carlos Javier Mantas, Javier G. Castellano, Serafín Moral-García, Joaquín Abellán:
A comparison of random forest based algorithms: random credal random forest versus oblique random forest. Soft Comput. 23(21): 10739-10754 (2019) - 2018
- [j13]Joaquín Abellán, Carlos Javier Mantas, Javier G. Castellano:
AdaptativeCC4.5: Credal C4.5 with a rough class noise estimator. Expert Syst. Appl. 92: 363-379 (2018) - [j12]Joaquín Abellán, Carlos Javier Mantas, Javier G. Castellano, Serafín Moral:
Increasing diversity in random forest learning algorithm via imprecise probabilities. Expert Syst. Appl. 97: 228-243 (2018) - [j11]Serafín Moral-García, Carlos Javier Mantas, Javier G. Castellano, Joaquín Abellán:
Using Credal-C4.5 with Binary Relevance for Multi-Label Classification. J. Intell. Fuzzy Syst. 35(6): 6501-6512 (2018) - 2017
- [j10]Joaquín Abellán, Javier G. Castellano, Carlos Javier Mantas:
A New Robust Classifier on Noise Domains: Bagging of Credal C4.5 Trees. Complex. 2017: 9023970:1-9023970:17 (2017) - [j9]Joaquín Abellán, Javier G. Castellano:
Improving the Naive Bayes Classifier via a Quick Variable Selection Method Using Maximum of Entropy. Entropy 19(6): 247 (2017) - [j8]Joaquín Abellán, Javier G. Castellano:
A comparative study on base classifiers in ensemble methods for credit scoring. Expert Syst. Appl. 73: 1-10 (2017) - [j7]Joaquín Abellán, Griselda López, Laura Garach, Javier G. Castellano:
Extraction of decision rules via imprecise probabilities. Int. J. Gen. Syst. 46(4): 313-331 (2017) - [j6]Joaquín Abellán, Carlos Javier Mantas, Javier G. Castellano:
A Random Forest approach using imprecise probabilities. Knowl. Based Syst. 134: 72-84 (2017) - 2016
- [j5]Carlos Javier Mantas, Joaquín Abellán, Javier G. Castellano:
Analysis of Credal-C4.5 for classification in noisy domains. Expert Syst. Appl. 61: 314-326 (2016) - 2007
- [j4]Luis M. de Campos, Francisco Javier García Castellano:
Bayesian network learning algorithms using structural restrictions. Int. J. Approx. Reason. 45(2): 233-254 (2007) - 2005
- [j3]Silvia Acid, Luis M. de Campos, Francisco Javier García Castellano:
Learning Bayesian Network Classifiers: Searching in a Space of Partially Directed Acyclic Graphs. Mach. Learn. 59(3): 213-235 (2005) - 2004
- [j2]Víctor Manuel Rivas Santos, Juan Julián Merelo Guervós, Pedro Ángel Castillo Valdivieso, Maribel García Arenas, Francisco Javier García Castellano:
Evolving RBF neural networks for time-series forecasting with EvRBF. Inf. Sci. 165(3-4): 207-220 (2004) - 2001
- [j1]Pedro Ángel Castillo Valdivieso, Francisco Javier García Castellano, Juan Julián Merelo Guervós, Alberto Prieto:
Diseño de Redes Neuronales Artificiales mediante Algoritmos Evolutivos. Inteligencia Artif. 5(14): 2-32 (2001)
Conference and Workshop Papers
- 2021
- [c11]Serafín Moral-García, Francisco Javier García Castellano, Carlos Javier Mantas, Joaquín Abellán:
Using Credal C4.5 for Calibrated Label Ranking in Multi-Label Classification. ISIPTA 2021: 220-228 - 2020
- [c10]Serafín Moral, Carlos Javier Mantas, Javier G. Castellano, Joaquín Abellán:
Imprecise Classification with Non-parametric Predictive Inference. IPMU (2) 2020: 53-66 - 2018
- [c9]Carlos Javier Mantas, Joaquín Abellán, Javier G. Castellano, José Ramón Cano, Serafín Moral:
Credal C4.5 with Refinement of Parameters. IPMU (3) 2018: 739-747 - 2014
- [c8]Griselda López, Laura Garach, Joaquín Abellán, Javier G. Castellano, Carlos Javier Mantas:
Using Imprecise Probabilities to Extract Decision Rules via Decision Trees for Analysis of Traffic Accidents. RSCTC 2014: 288-298 - 2011
- [c7]Luis M. de Campos, Andrés Cano, Javier G. Castellano, Serafín Moral:
Bayesian networks classifiers for gene-expression data. ISDA 2011: 1200-1206 - 2005
- [c6]Luis M. de Campos, Francisco Javier García Castellano:
On the Use of Restrictions for Learning Bayesian Networks. ECSQARU 2005: 174-185 - [c5]Andrés Cano, Francisco Javier García Castellano, Andrés R. Masegosa, Serafín Moral:
Selective Gaussian Naïve Bayes Model for Diffuse Large-B-Cell Lymphoma Classification: Some Improvements in Preprocessing and Variable Elimination. ECSQARU 2005: 908-920 - [c4]Andrés Cano, Francisco Javier García Castellano, Andrés R. Masegosa, Serafín Moral:
Methods to Determine the Branching Attribute in Bayesian Multinets Classifiers. ECSQARU 2005: 932-943 - 2002
- [c3]Gustavo Romero, Juan Julián Merelo Guervós, Pedro Ángel Castillo Valdivieso, Francisco Javier García Castellano, Maribel García Arenas:
Genetic Algorithm Visualization Using Self-organizing Maps. PPSN 2002: 442-451 - [c2]Pedro Ángel Castillo Valdivieso, Maribel García Arenas, Francisco Javier García Castellano, Juan Julián Merelo Guervós, Víctor Manuel Rivas Santos, Gustavo Romero:
Optimisation of Multilayer Perceptrons Using a Distributed Evolutionary Algorithm with SOAP. PPSN 2002: 676-688 - 2000
- [c1]Gustavo Romero, Maribel García Arenas, Francisco Javier García Castellano, Pedro Ángel Castillo Valdivieso, J. Carpio, Juan Julián Merelo Guervós, Alberto Prieto, Víctor Manuel Rivas Santos:
Evolutionary Computation Visualization: Application to G-PROP. PPSN 2000: 902-912
Informal and Other Publications
- 2006
- [i1]Pedro Ángel Castillo Valdivieso, Maribel García Arenas, Francisco Javier García Castellano, Juan Julián Merelo Guervós, Alberto Prieto, Víctor M. Rivas, Gustavo Romero:
Lamarckian Evolution and the Baldwin Effect in Evolutionary Neural Networks. CoRR abs/cs/0603004 (2006)
Coauthor Index
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