Francisco Javier García Castellano

According to our database, Francisco Javier García Castellano authored at least 34 papers between 2000 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Using extreme prior probabilities on the Naive Credal Classifier.

Serafín Moral-García, Javier G. Castellano, Carlos Javier Mantas, Joaquín Abellán

Knowl. Based Syst., 2022

A new label ordering method in Classifier Chains based on imprecise probabilities.

Serafín Moral-García, Javier G. Castellano, Carlos Javier Mantas, Joaquín Abellán

Neurocomputing, 2022

Using Credal C4.5 for Calibrated Label Ranking in Multi-Label Classification.

Serafín Moral-García, Carlos Javier Mantas, Javier G. Castellano, Joaquín Abellán

Int. J. Approx. Reason., 2022

2021

A Decision Support Tool for Credit Domains: Bayesian Network with a Variable Selector Based on Imprecise Probabilities.

Javier G. Castellano, Serafín Moral-García, Carlos Javier Mantas, María D. Benítez, Joaquín Abellán

Int. J. Fuzzy Syst., 2021

2020

On the Use of m-Probability-Estimation and Imprecise Probabilities in the Naïve Bayes Classifier.

Javier G. Castellano, Serafín Moral-García, Carlos Javier Mantas, Joaquín Abellán

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2020

Bagging of credal decision trees for imprecise classification.

Serafín Moral-García, Carlos Javier Mantas, Javier G. Castellano, María D. Benítez, Joaquín Abellán

Expert Syst. Appl., 2020

Non-parametric predictive inference for solving multi-label classification.

Serafín Moral-García, Carlos Javier Mantas, Javier G. Castellano, Joaquín Abellán

Appl. Soft Comput., 2020

Imprecise Classification with Non-parametric Predictive Inference.

Serafín Moral, Carlos Javier Mantas, Javier G. Castellano, Joaquín Abellán

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

2019

A comparison of random forest based algorithms: random credal random forest versus oblique random forest.

Carlos Javier Mantas, Javier G. Castellano, Serafín Moral-García, Joaquín Abellán

Soft Comput., 2019

Ensemble of classifier chains and Credal C4.5 for solving multi-label classification.

Serafín Moral-García, Carlos Javier Mantas, Javier G. Castellano, Joaquín Abellán

Prog. Artif. Intell., 2019

Decision Tree Ensemble Method for Analyzing Traffic Accidents of Novice Drivers in Urban Areas.

Serafín Moral-García, Javier G. Castellano, Carlos Javier Mantas, Alfonso Montella, Joaquín Abellán

Entropy, 2019

2018

Using Credal-C4.5 with Binary Relevance for Multi-Label Classification.

Serafín Moral-García, Carlos Javier Mantas, Javier G. Castellano, Joaquín Abellán

J. Intell. Fuzzy Syst., 2018

Increasing diversity in random forest learning algorithm via imprecise probabilities.

Joaquín Abellán, Carlos Javier Mantas, Javier G. Castellano, Serafín Moral

Expert Syst. Appl., 2018

AdaptativeCC4.5: Credal C4.5 with a rough class noise estimator.

Joaquín Abellán, Carlos Javier Mantas, Javier G. Castellano

Expert Syst. Appl., 2018

Credal C4.5 with Refinement of Parameters.

Carlos Javier Mantas, Joaquín Abellán, Javier G. Castellano, José Ramón Cano, Serafín Moral

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018

2017

A Random Forest approach using imprecise probabilities.

Joaquín Abellán, Carlos Javier Mantas, Javier G. Castellano

Knowl. Based Syst., 2017

Extraction of decision rules via imprecise probabilities.

Joaquín Abellán, Griselda López, Laura Garach, Javier G. Castellano

Int. J. Gen. Syst., 2017

A comparative study on base classifiers in ensemble methods for credit scoring.

Joaquín Abellán, Javier G. Castellano

Expert Syst. Appl., 2017

Improving the Naive Bayes Classifier via a Quick Variable Selection Method Using Maximum of Entropy.

Joaquín Abellán, Javier G. Castellano

Entropy, 2017

A New Robust Classifier on Noise Domains: Bagging of Credal C4.5 Trees.

Joaquín Abellán, Javier G. Castellano, Carlos Javier Mantas

Complex., 2017

2016

Analysis of Credal-C4.5 for classification in noisy domains.

Carlos Javier Mantas, Joaquín Abellán, Javier G. Castellano

Expert Syst. Appl., 2016

2014

Using Imprecise Probabilities to Extract Decision Rules via Decision Trees for Analysis of Traffic Accidents.

Griselda López, Laura Garach, Joaquín Abellán, Javier G. Castellano, Carlos Javier Mantas

Proceedings of the Rough Sets and Current Trends in Computing, 2014

2011

Bayesian networks classifiers for gene-expression data.

Luis M. de Campos, Andrés Cano, Javier G. Castellano, Serafín Moral

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

2007

Bayesian network learning algorithms using structural restrictions.

Luis M. de Campos, Francisco Javier García Castellano

Int. J. Approx. Reason., 2007

2006

Lamarckian Evolution and the Baldwin Effect in Evolutionary Neural Networks

Pedro Ángel Castillo Valdivieso, Maribel García Arenas, Francisco Javier García Castellano, Juan Julián Merelo Guervós, Alberto Prieto, Víctor M. Rivas, Gustavo Romero

CoRR, 2006

2005

Learning Bayesian Network Classifiers: Searching in a Space of Partially Directed Acyclic Graphs.

Silvia Acid, Luis M. de Campos, Francisco Javier García Castellano

Mach. Learn., 2005

Methods to Determine the Branching Attribute in Bayesian Multinets Classifiers.

Andrés Cano, Francisco Javier García Castellano, Andrés R. Masegosa, Serafín Moral

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

Selective Gaussian Naïve Bayes Model for Diffuse Large-B-Cell Lymphoma Classification: Some Improvements in Preprocessing and Variable Elimination.

Andrés Cano, Francisco Javier García Castellano, Andrés R. Masegosa, Serafín Moral

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

On the Use of Restrictions for Learning Bayesian Networks.

Luis M. de Campos, Francisco Javier García Castellano

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

2004

Evolving RBF neural networks for time-series forecasting with EvRBF.

Víctor Manuel Rivas Santos, Juan Julián Merelo Guervós, Pedro Ángel Castillo Valdivieso, Maribel García Arenas, Francisco Javier García Castellano

Inf. Sci., 2004

2002

Optimisation of Multilayer Perceptrons Using a Distributed Evolutionary Algorithm with SOAP.

Pedro Ángel Castillo Valdivieso, Maribel García Arenas, Francisco Javier García Castellano, Juan Julián Merelo Guervós, Víctor Manuel Rivas Santos, Gustavo Romero

Proceedings of the Parallel Problem Solving from Nature, 2002

Genetic Algorithm Visualization Using Self-organizing Maps.

Gustavo Romero, Juan Julián Merelo Guervós, Pedro Ángel Castillo Valdivieso, Francisco Javier García Castellano, Maribel García Arenas

Proceedings of the Parallel Problem Solving from Nature, 2002

2001

Diseño de Redes Neuronales Artificiales mediante Algoritmos Evolutivos.

Pedro Ángel Castillo Valdivieso, Francisco Javier García Castellano, Juan Julián Merelo Guervós, Alberto Prieto

Inteligencia Artif., 2001

2000

Evolutionary Computation Visualization: Application to G-PROP.

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

Proceedings of the Parallel Problem Solving from Nature, 2000