Carlos Javier Mantas

44 papers B 1Misc 1Journal 33Unranked 8

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