Joaquín Abellán

85 papers B 1C 5Misc 1Journal 65Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Comparison of Algorithms to Achieve the Maximum Entropy in the Theory of Evidence. Entropy Joaquín Abellán, Aina López-Gay, Maria Isabel A. Benítez, Francisco Javier García Castellano
2025	J	`jnl`	A Bagging algorithm for imprecise classification in cost-sensitive scenarios. Inf. Sci. Serafín Moral-García, Andrés R. Masegosa, Joaquín Abellán
2024	J	`jnl`	A Bayesian Imprecise Classification method that weights instances using the error costs. Appl. Soft Comput. Serafín Moral-García, Tahani Coolen-Maturi, Frank P. A. Coolen, Joaquín Abellán
2024	J	`jnl`	Lazy Multi-Label Classification algorithms based on Non-Parametric Predictive Inference. Expert Syst. Appl. Serafín Moral-García, Joaquín Abellán
2023	J	`jnl`	A Variation of the Algorithm to Achieve the Maximum Entropy for Belief Functions. Entropy Joaquín Abellán, Alejandro Pérez-Lara, Serafín Moral-García
2023	J	`jnl`	Improving the Results in Credit Scoring by Increasing Diversity in Ensembles of Classifiers. IEEE Access Serafín Moral-García, Joaquín Abellán
2023	J	`jnl`	Upgrading the Fusion of Imprecise Classifiers. Entropy Serafín Moral-García, María D. Benítez, Joaquín Abellán
2022	J	`jnl`	A cost-sensitive Imprecise Credal Decision Tree based on Nonparametric Predictive Inference. Appl. Soft Comput. Serafín Moral-García, Joaquín Abellán, Tahani Coolen-Maturi, Frank P. A. Coolen
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`	Basic Probability Assignments Representable via Belief Intervals for Singletons in Dempster-Shafer Theory. ISIPTA Serafín Moral-García, Joaquín Abellán
2021	J	`jnl`	Combination in the theory of evidence via a new measurement of the conflict between evidences. Expert Syst. Appl. Joaquín Abellán, Serafín Moral-García, María D. Benítez
2021	J	`jnl`	Credal sets representable by reachable probability intervals and belief functions. Int. J. Approx. Reason. Serafín Moral-García, Joaquín Abellán
2021	J	`jnl`	Required mathematical properties and behaviors of uncertainty measures on belief intervals. Int. J. Intell. Syst. Serafín Moral-García, Joaquín Abellán
2021	J	`jnl`	Uncertainty-based information measures on the approximate non-parametric predictive inference model. Int. J. Gen. Syst. Serafín Moral-García, 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	J	`jnl`	Critique of Recent Uncertainty Measures Developed Under the Evidence Theory and Belief Intervals. IEEE Trans. Syst. Man Cybern. Syst. Joaquín Abellán, Éloi Bossé
2020	—	`conf`	Imprecise Classification with Non-parametric Predictive Inference. IPMU (2) Serafín Moral, Carlos Javier Mantas, Javier G. Castellano, Joaquín Abellán
2020	J	`jnl`	Maximum of Entropy for Belief Intervals Under Evidence Theory. IEEE Access Serafín Moral-García, 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	C	`conf`	Combination in Dempster-Shafer Theory Based on a Disagreement Factor Between Evidences. ECSQARU Joaquín Abellán, Serafín Moral-García, María D. Benítez
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
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`	Drawbacks of Uncertainty Measures Based on the Pignistic Transformation. IEEE Trans. Syst. Man Cybern. Syst. Joaquín Abellán, Éloi Bossé
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
2017	J	`jnl`	A comparative study on base classifiers in ensemble methods for credit scoring. Expert Syst. Appl. Joaquín Abellán, Javier G. Castellano
2017	J	`jnl`	Extraction of decision rules via imprecise probabilities. Int. J. Gen. Syst. Joaquín Abellán, Griselda López, Laura Garach, Javier G. Castellano
2017	J	`jnl`	Improving the Naive Bayes Classifier via a Quick Variable Selection Method Using Maximum of Entropy. Entropy Joaquín Abellán, 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	J	`jnl`	Classification with decision trees from a nonparametric predictive inference perspective. Comput. Stat. Data Anal. Joaquín Abellán, Rebecca M. Baker, Frank P. A. Coolen, Richard J. Crossman, Andrés R. Masegosa
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
2013	J	`jnl`	An application of Non-Parametric Predictive Inference on multi-class classification high-level-noise problems. Expert Syst. Appl. Joaquín Abellán
2013	J	`jnl`	Analysis of traffic accident severity using Decision Rules via Decision Trees. Expert Syst. Appl. Joaquín Abellán, Griselda López, Juan de Oña
2013	J	`jnl`	Ensembles of decision trees based on imprecise probabilities and uncertainty measures. Inf. Fusion Joaquín Abellán
2012	J	`jnl`	Bagging schemes on the presence of class noise in classification. Expert Syst. Appl. Joaquín Abellán, Andrés R. Masegosa
2012	J	`jnl`	Determining dependence relations using a new score based on imprecise probabilities. Intell. Data Anal. Joaquín Abellán, Serafín Moral
2012	J	`jnl`	Equivalence relations among dominance concepts on probability intervals and general credal sets. Int. J. Gen. Syst. Joaquín Abellán
2012	J	`jnl`	Imprecise Classification with Credal Decision Trees. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Joaquín Abellán, Andrés R. Masegosa
2011	J	`jnl`	A memory efficient semi-Naive Bayes classifier with grouping of cases. Intell. Data Anal. Joaquín Abellán, Andrés Cano, Andrés R. Masegosa, Serafín Moral
2011	J	`jnl`	Combining nonspecificity measures in Dempster-Shafer theory of evidence. Int. J. Gen. Syst. Joaquín Abellán
2011	J	`jnl`	Maximising entropy on the nonparametric predictive inference model for multinomial data. Eur. J. Oper. Res. Joaquín Abellán, Rebecca M. Baker, Frank P. A. Coolen
2010	J	`jnl`	An ensemble method using credal decision trees. Eur. J. Oper. Res. Joaquín Abellán, Andrés R. Masegosa
2010	—	`conf`	Bagging Decision Trees on Data Sets with Classification Noise. FoIKS Joaquín Abellán, Andrés R. Masegosa
2009	J	`jnl`	A Filter-Wrapper Method to Select Variables for the Naive Bayes Classifier Based on Credal Decision Trees. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Joaquín Abellán, Andrés R. Masegosa
2009	C	`conf`	An Experimental Study about Simple Decision Trees for Bagging Ensemble on Datasets with Classification Noise. ECSQARU Joaquín Abellán, Andrés R. Masegosa
2008	J	`jnl`	Requirements for total uncertainty measures in Dempster-Shafer theory of evidence. Int. J. Gen. Syst. Joaquín Abellán, Andrés R. Masegosa
2007	C	`conf`	A Semi-naive Bayes Classifier with Grouping of Cases. ECSQARU Joaquín Abellán, Andrés Cano, Andrés R. Masegosa, Serafín Moral
2007	C	`conf`	Combining Decision Trees Based on Imprecise Probabilities and Uncertainty Measures. ECSQARU Joaquín Abellán, Andrés R. Masegosa
2007	J	`jnl`	Hill-climbing and branch-and-bound algorithms for exact and approximate inference in credal networks. Int. J. Approx. Reason. Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Joaquín Abellán
2007	C	`conf`	Split Criterions for Variable Selection Using Decision Trees. ECSQARU Joaquín Abellán, Andrés R. Masegosa
2006	J	`jnl`	An Algorithm to Compute the Upper Entropy for Order-2 Capacities. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Joaquín Abellán, Serafín Moral
2006	J	`jnl`	Application of uncertainty measures on credal sets on the naive Bayesian classifier. Int. J. Gen. Syst. Joaquín Abellán
2006	J	`jnl`	Book review. Fuzzy Sets Syst. Joaquín Abellán
2006	J	`jnl`	Disaggregated total uncertainty measure for credal sets. Int. J. Gen. Syst. Joaquín Abellán, George J. Klir, Serafín Moral
2006	J	`jnl`	Measures of divergence on credal sets. Fuzzy Sets Syst. Joaquín Abellán, Manuel Gómez-Olmedo
2006	—	`conf`	Some Variations on the PC Algorithm. Probabilistic Graphical Models Joaquín Abellán, Manuel Gómez-Olmedo, Serafín Moral
2006	J	`jnl`	Uncertainty measures on probability intervals from the imprecise Dirichlet model. Int. J. Gen. Syst. Joaquín Abellán
2006	—	`conf`	Varying Parameter in Classification Based on Imprecise Probabilities. SMPS Joaquín Abellán, Serafín Moral, Manuel Gómez-Olmedo, Andrés R. Masegosa
2005	J	`jnl`	Additivity of uncertainty measures on credal sets. Int. J. Gen. Syst. Joaquín Abellán, George J. Klir
2005	J	`jnl`	Corrigendum: "a Non-specificity Measure for Convex Sets of Probability Distributions". Int. J. Uncertain. Fuzziness Knowl. Based Syst. Joaquín Abellán, Serafín Moral
2005	J	`jnl`	Difference of entropies as a non-specificity function on credal sets†. Int. J. Gen. Syst. Joaquín Abellán, Serafín Moral
2005	—	`conf`	New Score for Independence Based on the Imprecise Dirichlet Model. ISIPTA Joaquín Abellán, Serafín Moral
2005	J	`jnl`	Upper entropy of credal sets. Applications to credal classification. Int. J. Approx. Reason. Joaquín Abellán, Serafín Moral
2003	J	`jnl`	Building classification trees using the total uncertainty criterion. Int. J. Intell. Syst. Joaquín Abellán, Serafín Moral
2003	J	`jnl`	Maximum of Entropy for Credal Sets. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Joaquín Abellán, Serafín Moral
2003	—	`conf`	Maximum of Entropy in Credal Classification. ISIPTA Joaquín Abellán, Serafín Moral
2001	—	`conf`	Building classification trees using the total uncertainty criterion. ISIPTA Joaquín Abellán, Serafín Moral
2000	J	`jnl`	A Non-Specificity Measure for Convex Sets of Probability Distributions. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Joaquín Abellán, Serafín Moral
1999	—	`conf`	A Non-specificity Measure for Convex Sets of Probability Distributions. ISIPTA Joaquín Abellán, Serafín Moral