Carlos Javier Mantas

Publication Activity (10 Years)

Years Active: 1999-2022
Publications (10 Years): 20

Top Topics

Imprecise Probabilities

Top Venues

Expert Syst. Appl.

Knowl. Based Syst.

J. Intell. Fuzzy Syst.

Publications

Serafín Moral-García, Javier G. Castellano, Carlos Javier Mantas, Joaquín Abellán
A new label ordering method in Classifier Chains based on imprecise probabilities. Neurocomputing 487 (2022)
Serafín Moral-García, Carlos Javier Mantas, Javier G. Castellano, Joaquín Abellán
Using Credal C4.5 for Calibrated Label Ranking in Multi-Label Classification. Int. J. Approx. Reason. 147 (2022)
Serafín Moral-García, Javier G. Castellano, Carlos Javier Mantas, Joaquín Abellán
Using extreme prior probabilities on the Naive Credal Classifier. Knowl. Based Syst. 237 (2022)
Serafín Moral-García, Francisco Javier García Castellano, Carlos Javier Mantas, Joaquín Abellán
Using Credal C4.5 for Calibrated Label Ranking in Multi-Label Classification. ISIPTA (2021)
Javier G. Castellano, Serafín Moral-García, Carlos Javier Mantas, María D. Benítez, Joaquín Abellán
A Decision Support Tool for Credit Domains: Bayesian Network with a Variable Selector Based on Imprecise Probabilities. Int. J. Fuzzy Syst. 23 (7) (2021)
Serafín Moral, Carlos Javier Mantas, Javier G. Castellano, Joaquín Abellán
Imprecise Classification with Non-parametric Predictive Inference. IPMU (2) (2020)
Javier G. Castellano, Serafín Moral-García, Carlos Javier Mantas, Joaquín Abellán
On the Use of m-Probability-Estimation and Imprecise Probabilities in the Naïve Bayes Classifier. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 28 (4) (2020)
Serafín Moral-García, Carlos Javier Mantas, Javier G. Castellano, Joaquín Abellán
Non-parametric predictive inference for solving multi-label classification. Appl. Soft Comput. 88 (2020)
Serafín Moral-García, Carlos Javier Mantas, Javier G. Castellano, María D. Benítez, Joaquín Abellán
Bagging of credal decision trees for imprecise classification. Expert Syst. Appl. 141 (2020)
Carlos Javier Mantas, Javier G. Castellano, Serafín Moral-García, Joaquín Abellán
A comparison of random forest based algorithms: random credal random forest versus oblique random forest. Soft Comput. 23 (21) (2019)
Carlos Javier Mantas
Interpretation of first-order recurrent neural networks by means of fuzzy rules. J. Intell. Fuzzy Syst. 37 (3) (2019)
Serafín Moral-García, Carlos Javier Mantas, Javier G. Castellano, Joaquín Abellán
Ensemble of classifier chains and Credal C4.5 for solving multi-label classification. Prog. Artif. Intell. 8 (2) (2019)
Serafín Moral-García, Javier G. Castellano, Carlos Javier Mantas, Alfonso Montella, Joaquín Abellán
Decision Tree Ensemble Method for Analyzing Traffic Accidents of Novice Drivers in Urban Areas. Entropy 21 (4) (2019)
Joaquín Abellán, Carlos Javier Mantas, Javier G. Castellano, Serafín Moral
Increasing diversity in random forest learning algorithm via imprecise probabilities. Expert Syst. Appl. 97 (2018)
Serafín Moral-García, Carlos Javier Mantas, Javier G. Castellano, Joaquín Abellán
Using Credal-C4.5 with Binary Relevance for Multi-Label Classification. J. Intell. Fuzzy Syst. 35 (6) (2018)
Carlos Javier Mantas, Joaquín Abellán, Javier G. Castellano, José Ramón Cano, Serafín Moral
Credal C4.5 with Refinement of Parameters. IPMU (3) (2018)
Joaquín Abellán, Carlos Javier Mantas, Javier G. Castellano
AdaptativeCC4.5: Credal C4.5 with a rough class noise estimator. Expert Syst. Appl. 92 (2018)
Joaquín Abellán, Carlos Javier Mantas, Javier G. Castellano
A Random Forest approach using imprecise probabilities. Knowl. Based Syst. 134 (2017)
Joaquín Abellán, Javier G. Castellano, Carlos Javier Mantas
A New Robust Classifier on Noise Domains: Bagging of Credal C4.5 Trees. Complex. 2017 (2017)
Carlos Javier Mantas, Joaquín Abellán, Javier G. Castellano
Analysis of Credal-C4.5 for classification in noisy domains. Expert Syst. Appl. 61 (2016)
Carlos Javier Mantas, Joaquín Abellán
Credal Decision Trees to Classify Noisy Data Sets. HAIS (2014)
Carlos Javier Mantas, Joaquín Abellán
Credal-C4.5: Decision tree based on imprecise probabilities to classify noisy data. Expert Syst. Appl. 41 (10) (2014)
Joaquín Abellán, Carlos Javier Mantas
Improving experimental studies about ensembles of classifiers for bankruptcy prediction and credit scoring. Expert Syst. Appl. 41 (8) (2014)
Griselda López, Laura Garach, Joaquín Abellán, Javier G. Castellano, Carlos Javier Mantas
Using Imprecise Probabilities to Extract Decision Rules via Decision Trees for Analysis of Traffic Accidents. RSCTC (2014)
Carlos Javier Mantas, Joaquín Abellán
Analysis and extension of decision trees based on imprecise probabilities: Application on noisy data. Expert Syst. Appl. 41 (5) (2014)
Carlos Javier Mantas, Joaquín Abellán
Credal decision trees in noisy domains. ESANN (2014)
Carlos Javier Mantas, José Manuel Puche
Artificial Neural Networks are Zero-Order TSK Fuzzy Systems. IEEE Trans. Fuzzy Syst. 16 (3) (2008)
Carlos Javier Mantas
A generic fuzzy aggregation operator: rules extraction from and insertion into artificial neural networks. Soft Comput. 12 (5) (2008)
Juan Luis Castro, L. D. Flores-Hidalgo, Carlos Javier Mantas, José Manuel Puche
Extraction of fuzzy rules from support vector machines. Fuzzy Sets Syst. 158 (18) (2007)
Carlos Javier Mantas, José Manuel Puche, José Miguel Mantas
Extraction of similarity based fuzzy rules from artificial neural networks. Int. J. Approx. Reason. 43 (2) (2006)
José Manuel Puche, José Manuel Benítez, Juan Luis Castro, Carlos Javier Mantas
Fuzzy Pairwise Multiclass Support Vector Machines. MICAI (2006)
Juan Luis Castro, L. D. Flores-Hidalgo, Carlos Javier Mantas
Interpretation of Support Vector Machines by means of Fuzzy Rule-Based Systems. EUSFLAT Conf. (2005)
Carlos Javier Mantas
T-norms and t-conorms in multilayer perceptrons. EUSFLAT Conf. (2005)
Carlos Javier Mantas, José Miguel Mantas Ruiz, Fernando Rojas
A procedure for improving generalization in classification trees. Neurocomputing 48 (1-4) (2002)
Juan Luis Castro, Carlos Javier Mantas, José Manuel Benítez
Interpretation of artificial neural networks by means of fuzzy rules. IEEE Trans. Neural Networks 13 (1) (2002)
Juan Luis Castro, Miguel Delgado, Carlos Javier Mantas
A fuzzy rule-based algorithm to train perceptrons. Fuzzy Sets Syst. 118 (2) (2001)
Juan Luis Castro, Miguel Delgado, Carlos Javier Mantas
A new approach for the execution and adjustment of a fuzzy algorithm. Fuzzy Sets Syst. 121 (3) (2001)
Juan Luis Castro, Carlos Javier Mantas, José Manuel Benítez
Neural networks with a continuous squashing function in the output are universal approximators. Neural Networks 13 (6) (2000)
J. L. Castro, Miguel Delgado, Carlos Javier Mantas
MORSE: A general model to represent structured knowledge. Int. J. Intell. Syst. 15 (1) (2000)
Juan Luis Castro Peña, Miguel Delgado Calvo-Flores, Carlos Javier Mantas
SEPARATE: a machine learning method based on semi-global partitions. IEEE Trans. Neural Networks Learn. Syst. 11 (3) (2000)
José Manuel Benítez, Juan Luis Castro, Carlos Javier Mantas
A link-pruning algorithm for neural networks. EUSFLAT-ESTYLF Joint Conf. (1999)
Miguel Delgado, Carlos Javier Mantas, Claudio Moraga
A Fuzzy Rule Based Backpropagation Method for Training Binary Multilayer Perceptrons. Inf. Sci. 113 (1-2) (1999)
Juan Luis Castro, Miguel Delgado, Carlos Javier Mantas
Fuzzy Grammar for Handling Fuzzy Algorithms. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 7 (3) (1999)