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Javier García Castellano
Javier García Castellano
Department of Computer Science and Artificial Intelligence at University of Granada
Verified email at decsai.ugr.es
Title
Cited by
Cited by
Year
A comparative study on base classifiers in ensemble methods for credit scoring
J Abellán, JG Castellano
Expert systems with applications 73, 1-10, 2017
3082017
Elvira: An environment for creating and using probabilistic graphical models
Elvira Consortium
Proceedings of the first European workshop on probabilistic graphical models …, 2002
1852002
Bayesian network learning algorithms using structural restrictions
LM de Campos, JG Castellano
International Journal of Approximate Reasoning 45 (2), 233-254, 2007
1482007
Evolving RBF neural networks for time-series forecasting with EvRBF
VM Rivas, JJ Merelo, PA Castillo, MG Arenas, JG Castellano
Information Sciences 165 (3-4), 207-220, 2004
1422004
Learning Bayesian network classifiers: Searching in a space of partially directed acyclic graphs
S Acid, LM de Campos, JG Castellano
Machine learning 59, 213-235, 2005
1002005
A comparison of random forest based algorithms: random credal random forest versus oblique random forest
JA Carlos J. Mantas, Javier G. Castellano, Serafín Moral-García
Soft Computing 23, 10739–10754, 2018
96*2018
A random forest approach using imprecise probabilities
J Abellán, CJ Mantas, JG Castellano
Knowledge-Based Systems 134, 72-84, 2017
782017
Improving the Naive Bayes Classifier via a Quick Variable Selection Method Using Maximum of Entropy
J Abellán, JG Castellano
Entropy 19 (16), 2017
672017
Increasing diversity in Random Forest learning algorithm via imprecise probabilities
J Abellán, CJ Mantas, JG Castellano, S Moral-García
Expert Systems with Applications 97, 228-243, 2018
582018
Analysis of Credal-C4. 5 for classification in noisy domains
CJ Mantas, J Abellán, JG Castellano
Expert Systems with Applications 61, 314-326, 2016
562016
Bagging of credal decision trees for imprecise classification
S Moral-García, CJ Mantas, JG Castellano, MD Benítez, J Abellan
Expert Systems with Applications 141, 112944, 2020
542020
Decision tree ensemble method for analyzing traffic accidents of novice drivers in urban areas
S Moral-García, JG Castellano, CJ Mantas, A Montella, J Abellán
Entropy 21 (4), 360, 2019
472019
Bayesian networks classifiers for gene-expression data
LM De Campos, A Cano, JG Castellano, S Moral
2011 11th International Conference on Intelligent Systems Design and …, 2011
452011
AdaptativeCC4. 5: Credal C4. 5 with a rough class noise estimator
J Abellán, CJ Mantas, JG Castellano
Expert Systems with Applications 92, 363-379, 2018
282018
Lamarckian evolution and the Baldwin effect in evolutionary neural networks
PA Castillo, MG Arenas, JG Castellano, JJ Merelo, A Prieto, V Rivas, ...
arXiv preprint cs/0603004, 2006
26*2006
Ensemble of classifier chains and Credal C4. 5 for solving multi-label classification
S Moral-García, CJ Mantas, JG Castellano, J Abellán
Progress in Artificial Intelligence 8, 195-213, 2019
192019
Function approximation with evolved multilayer perceptrons
PA Castillo, MG Arenas, JG Castellano, M Cillero, JJ Merelo, A Prieto, ...
Advances in Neural Networks and Applications, 195-200, 2001
192001
Genetic algorithm visualization using self-organizing maps
G Romero, JJ Merelo, PA Castillo, JG Castellano, MG Arenas
Parallel Problem Solving from Nature—PPSN VII: 7th International Conference …, 2002
182002
Combining gene expression data and prior knowledge for inferring gene regulatory networks via Bayesian networks using structural restrictions
LM de Campos, A Cano, JG Castellano, S Moral
Statistical Applications in Genetics and Molecular Biology, 2019
172019
Using credal c4. 5 for calibrated label ranking in multi-label classification
S Moral-García, CJ Mantas, JG Castellano, J Abellán
International Journal of Approximate Reasoning 147, 60-77, 2022
152022
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