A link-pruning algorithm for neural networks. - José Manuel Benítez 001; Juan Luis Castro; Carlos Javier Mantas (EUSFLAT-ESTYLF Joint Conf., 1999)

Fuzzy Grammar for Handling Fuzzy Algorithms. - Juan Luis Castro; Miguel Delgado 001; Carlos Javier Mantas (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1999)

A Fuzzy Rule Based Backpropagation Method for Training Binary Multilayer Perceptrons. - Miguel Delgado 001; Carlos Javier Mantas; Claudio Moraga (Inf. Sci., 1999)

MORSE: A general model to represent structured knowledge. - J. L. Castro; Miguel Delgado 001; Carlos Javier Mantas (Int. J. Intell. Syst., 2000)

Neural networks with a continuous squashing function in the output are universal approximators. - Juan Luis Castro; Carlos Javier Mantas; José Manuel Benítez 001 (Neural Networks, 2000)

SEPARATE: a machine learning method based on semi-global partitions. - Juan Luis Castro Peña; Miguel Delgado Calvo-Flores; Carlos Javier Mantas (IEEE Trans. Neural Networks Learn. Syst., 2000)

A new approach for the execution and adjustment of a fuzzy algorithm. - Juan Luis Castro; Miguel Delgado 001; Carlos Javier Mantas (Fuzzy Sets Syst., 2001)

A fuzzy rule-based algorithm to train perceptrons. - Juan Luis Castro; Miguel Delgado 001; Carlos Javier Mantas (Fuzzy Sets Syst., 2001)

A procedure for improving generalization in classification trees. - Carlos Javier Mantas; José Miguel Mantas Ruiz; Fernando J. Rojas (Neurocomputing, 2002)

Interpretation of artificial neural networks by means of fuzzy rules. - Juan Luis Castro; Carlos Javier Mantas; José Manuel Benítez 001 (IEEE Trans. Neural Networks, 2002)

Interpretation of Support Vector Machines by means of Fuzzy Rule-Based Systems. - Juan Luis Castro; L. D. Flores-Hidalgo; Carlos Javier Mantas (EUSFLAT Conf., 2005)

T-norms and t-conorms in multilayer perceptrons. - Carlos Javier Mantas (EUSFLAT Conf., 2005)

Fuzzy Pairwise Multiclass Support Vector Machines. - José Manuel Puche; José Manuel Benítez 001; Juan Luis Castro; Carlos Javier Mantas (MICAI, 2006)

Extraction of similarity based fuzzy rules from artificial neural networks. - Carlos Javier Mantas; José Manuel Puche; José Miguel Mantas (Int. J. Approx. Reason., 2006)

Extraction of fuzzy rules from support vector machines. - Juan Luis Castro; L. D. Flores-Hidalgo; Carlos Javier Mantas; José Manuel Puche (Fuzzy Sets Syst., 2007)

A generic fuzzy aggregation operator: rules extraction from and insertion into artificial neural networks. - Carlos Javier Mantas (Soft Comput., 2008)

Artificial Neural Networks are Zero-Order TSK Fuzzy Systems. - Carlos Javier Mantas; José Manuel Puche (IEEE Trans. Fuzzy Syst., 2008)

Credal decision trees in noisy domains. - Carlos Javier Mantas; Joaquín Abellán (ESANN, 2014)

Credal Decision Trees to Classify Noisy Data Sets. - Carlos Javier Mantas; Joaquín Abellán (HAIS, 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 (RSCTC, 2014)

Improving experimental studies about ensembles of classifiers for bankruptcy prediction and credit scoring. - Joaquín Abellán; Carlos Javier Mantas (Expert Syst. Appl., 2014)

Analysis and extension of decision trees based on imprecise probabilities: Application on noisy data. - Carlos Javier Mantas; Joaquín Abellán (Expert Syst. Appl., 2014)

Credal-C4.5: Decision tree based on imprecise probabilities to classify noisy data. - Carlos Javier Mantas; Joaquín Abellán (Expert Syst. Appl., 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)

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)

Basic Properties for Total Uncertainty Measures in the Theory of Evidence. - Joaquín Abellán; Carlos Javier Mantas; Éloi Bossé (Information Quality in Information Fusion and Decision Making, 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)

Interpretation of first-order recurrent neural networks by means of fuzzy rules. - Carlos Javier Mantas (J. Intell. Fuzzy Syst., 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)