Carlos Javier Mantas

According to our database, Carlos Javier Mantas authored at least 43 papers between 1999 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

Interpretation of first-order recurrent neural networks by means of fuzzy rules.

Carlos Javier Mantas

J. Intell. Fuzzy Syst., 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

Basic Properties for Total Uncertainty Measures in the Theory of Evidence.

Joaquín Abellán, Carlos Javier Mantas, Éloi Bossé

Proceedings of the Information Quality in Information Fusion and Decision Making, 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

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

Credal-C4.5: Decision tree based on imprecise probabilities to classify noisy data.

Carlos Javier Mantas, Joaquín Abellán

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

Improving experimental studies about ensembles of classifiers for bankruptcy prediction and credit scoring.

Joaquín Abellán, Carlos Javier Mantas

Expert Syst. Appl., 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

Credal Decision Trees to Classify Noisy Data Sets.

Carlos Javier Mantas, Joaquín Abellán

Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014

Credal decision trees in noisy domains.

Carlos Javier Mantas, Joaquín Abellán

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2008

Artificial Neural Networks are Zero-Order TSK Fuzzy Systems.

Carlos Javier Mantas, José Manuel Puche

IEEE Trans. Fuzzy Syst., 2008

A generic fuzzy aggregation operator: rules extraction from and insertion into artificial neural networks.

Carlos Javier Mantas

Soft Comput., 2008

2007

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

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

Fuzzy Pairwise Multiclass Support Vector Machines.

José Manuel Puche, José Manuel Benítez, Juan Luis Castro, Carlos Javier Mantas

Proceedings of the MICAI 2006: Advances in Artificial Intelligence, 2006

2005

T-norms and t-conorms in multilayer perceptrons.

Carlos Javier Mantas

Proceedings of the Joint 4th Conference of the European Society for Fuzzy Logic and Technology and the 11th Rencontres Francophones sur la Logique Floue et ses Applications, 2005

Interpretation of Support Vector Machines by means of Fuzzy Rule-Based Systems.

Juan Luis Castro, L. D. Flores-Hidalgo, Carlos Javier Mantas

Proceedings of the Joint 4th Conference of the European Society for Fuzzy Logic and Technology and the 11th Rencontres Francophones sur la Logique Floue et ses Applications, 2005

2002

Interpretation of artificial neural networks by means of fuzzy rules.

Juan Luis Castro, Carlos Javier Mantas, José Manuel Benítez

IEEE Trans. Neural Networks, 2002

A procedure for improving generalization in classification trees.

Carlos Javier Mantas, José Miguel Mantas Ruiz, Fernando J. Rojas

Neurocomputing, 2002

2001

A fuzzy rule-based algorithm to train perceptrons.

Juan Luis Castro, Miguel Delgado, Carlos Javier Mantas

Fuzzy Sets Syst., 2001

A new approach for the execution and adjustment of a fuzzy algorithm.

Juan Luis Castro, Miguel Delgado, Carlos Javier Mantas

Fuzzy Sets Syst., 2001

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

Neural networks with a continuous squashing function in the output are universal approximators.

Juan Luis Castro, Carlos Javier Mantas, José Manuel Benítez

Neural Networks, 2000

MORSE: A general model to represent structured knowledge.

J. L. Castro, Miguel Delgado, Carlos Javier Mantas

Int. J. Intell. Syst., 2000

1999

A Fuzzy Rule Based Backpropagation Method for Training Binary Multilayer Perceptrons.

Miguel Delgado, Carlos Javier Mantas, Claudio Moraga

Inf. Sci., 1999

Fuzzy Grammar for Handling Fuzzy Algorithms.

Juan Luis Castro, Miguel Delgado, Carlos Javier Mantas

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1999

A link-pruning algorithm for neural networks.

José Manuel Benítez, Juan Luis Castro, Carlos Javier Mantas

Proceedings of the EUSFLAT-ESTYLF Joint Conference, 1999