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 (PPSN, 2000)

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)

Genetic Algorithm Visualization Using Self-organizing Maps. - Gustavo Romero; Juan Julián Merelo Guervós; Pedro Ángel Castillo Valdivieso; Francisco Javier García Castellano; Maribel García Arenas (PPSN, 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 (PPSN, 2002)

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)

On the Use of Restrictions for Learning Bayesian Networks. - Luis M. de Campos; Francisco Javier García Castellano (ECSQARU, 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 (ECSQARU, 2005)

Methods to Determine the Branching Attribute in Bayesian Multinets Classifiers. - Andrés Cano; Francisco Javier García Castellano; Andrés R. Masegosa; Serafín Moral (ECSQARU, 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)

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)

Bayesian network learning algorithms using structural restrictions. - Luis M. de Campos; Francisco Javier García Castellano (Int. J. Approx. Reason., 2007)

Bayesian networks classifiers for gene-expression data. - Luis M. de Campos; Andrés Cano; Javier G. Castellano; Serafín Moral (ISDA, 2011)

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 (RSCTC, 2014)

Analysis of Credal-C4.5 for classification in noisy domains. - Carlos Javier Mantas; Joaquín Abellán; Javier G. Castellano (Expert Syst. Appl., 2016)

A New Robust Classifier on Noise Domains: Bagging of Credal C4.5 Trees. - Joaquín Abellán; Javier G. Castellano; Carlos Javier Mantas (Complex., 2017)

Improving the Naive Bayes Classifier via a Quick Variable Selection Method Using Maximum of Entropy. - Joaquín Abellán; Javier G. Castellano (Entropy, 2017)

A comparative study on base classifiers in ensemble methods for credit scoring. - Joaquín Abellán; Javier G. Castellano (Expert Syst. Appl., 2017)

Extraction of decision rules via imprecise probabilities. - Joaquín Abellán; Griselda López; Laura Garach; Javier G. Castellano (Int. J. Gen. Syst., 2017)

A Random Forest approach using imprecise probabilities. - Joaquín Abellán; Carlos Javier Mantas; Javier G. Castellano (Knowl. Based Syst., 2017)

Credal C4.5 with Refinement of Parameters. - Carlos Javier Mantas; Joaquín Abellán; Javier G. Castellano; José Ramón Cano; Serafín Moral (IPMU (3), 2018)

AdaptativeCC4.5: Credal C4.5 with a rough class noise estimator. - Joaquín Abellán; Carlos Javier Mantas; Javier G. Castellano (Expert Syst. Appl., 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)

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)

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)

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)

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)

Imprecise Classification with Non-parametric Predictive Inference. - Serafín Moral; Carlos Javier Mantas; Javier G. Castellano; Joaquín Abellán (IPMU (2), 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)

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)

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)

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)

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)

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 extreme prior probabilities on the Naive Credal Classifier. - Serafín Moral-García; Javier G. Castellano; Carlos Javier Mantas; Joaquín Abellán (Knowl. Based Syst., 2022)