A Non-Specificity Measure for Convex Sets of Probability Distributions. - Joaquín Abellán; Serafín Moral (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2000)

Maximum of Entropy in Credal Classification. - Joaquín Abellán; Serafín Moral (ISIPTA, 2003)

Building classification trees using the total uncertainty criterion. - Joaquín Abellán; Serafín Moral (Int. J. Intell. Syst., 2003)

Maximum of Entropy for Credal Sets. - Joaquín Abellán; Serafín Moral (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2003)

New Score for Independence Based on the Imprecise Dirichlet Model. - Joaquín Abellán; Serafín Moral (ISIPTA, 2005)

Upper entropy of credal sets. Applications to credal classification. - Joaquín Abellán; Serafín Moral (Int. J. Approx. Reason., 2005)

Additivity of uncertainty measures on credal sets. - Joaquín Abellán; George J. Klir (Int. J. Gen. Syst., 2005)

Difference of entropies as a non-specificity function on credal sets†. - Joaquín Abellán; Serafín Moral (Int. J. Gen. Syst., 2005)

Corrigendum: "a Non-specificity Measure for Convex Sets of Probability Distributions". - Joaquín Abellán; Serafín Moral (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2005)

Some Variations on the PC Algorithm. - Joaquín Abellán; Manuel Gómez-Olmedo; Serafín Moral (Probabilistic Graphical Models, 2006)

Varying Parameter in Classification Based on Imprecise Probabilities. - Joaquín Abellán; Serafín Moral; Manuel Gómez-Olmedo; Andrés R. Masegosa (SMPS, 2006)

Book review. - Joaquín Abellán (Fuzzy Sets Syst., 2006)

Measures of divergence on credal sets. - Joaquín Abellán; Manuel Gómez-Olmedo (Fuzzy Sets Syst., 2006)

Uncertainty measures on probability intervals from the imprecise Dirichlet model. - Joaquín Abellán (Int. J. Gen. Syst., 2006)

Application of uncertainty measures on credal sets on the naive Bayesian classifier. - Joaquín Abellán (Int. J. Gen. Syst., 2006)

Disaggregated total uncertainty measure for credal sets. - Joaquín Abellán; George J. Klir; Serafín Moral (Int. J. Gen. Syst., 2006)

An Algorithm to Compute the Upper Entropy for Order-2 Capacities. - Joaquín Abellán; Serafín Moral (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2006)

A Semi-naive Bayes Classifier with Grouping of Cases. - Joaquín Abellán; Andrés Cano; Andrés R. Masegosa; Serafín Moral (ECSQARU, 2007)

Split Criterions for Variable Selection Using Decision Trees. - Joaquín Abellán; Andrés R. Masegosa (ECSQARU, 2007)

Combining Decision Trees Based on Imprecise Probabilities and Uncertainty Measures. - Joaquín Abellán; Andrés R. Masegosa (ECSQARU, 2007)

Hill-climbing and branch-and-bound algorithms for exact and approximate inference in credal networks. - Andrés Cano; Manuel Gómez-Olmedo; Serafín Moral; Joaquín Abellán (Int. J. Approx. Reason., 2007)

Requirements for total uncertainty measures in Dempster-Shafer theory of evidence. - Joaquín Abellán; Andrés R. Masegosa (Int. J. Gen. Syst., 2008)

An Experimental Study about Simple Decision Trees for Bagging Ensemble on Datasets with Classification Noise. - Joaquín Abellán; Andrés R. Masegosa (ECSQARU, 2009)

A Filter-Wrapper Method to Select Variables for the Naive Bayes Classifier Based on Credal Decision Trees. - Joaquín Abellán; Andrés R. Masegosa (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2009)

Bagging Decision Trees on Data Sets with Classification Noise. - Joaquín Abellán; Andrés R. Masegosa (FoIKS, 2010)

An ensemble method using credal decision trees. - Joaquín Abellán; Andrés R. Masegosa (Eur. J. Oper. Res., 2010)

Maximising entropy on the nonparametric predictive inference model for multinomial data. - Joaquín Abellán; Rebecca M. Baker; Frank P. A. Coolen (Eur. J. Oper. Res., 2011)

A memory efficient semi-Naive Bayes classifier with grouping of cases. - Joaquín Abellán; Andrés Cano; Andrés R. Masegosa; Serafín Moral (Intell. Data Anal., 2011)

Combining nonspecificity measures in Dempster-Shafer theory of evidence. - Joaquín Abellán (Int. J. Gen. Syst., 2011)

Bagging schemes on the presence of class noise in classification. - Joaquín Abellán; Andrés R. Masegosa (Expert Syst. Appl., 2012)

Determining dependence relations using a new score based on imprecise probabilities. - Joaquín Abellán; Serafín Moral (Intell. Data Anal., 2012)

Equivalence relations among dominance concepts on probability intervals and general credal sets. - Joaquín Abellán (Int. J. Gen. Syst., 2012)

Imprecise Classification with Credal Decision Trees. - Joaquín Abellán; Andrés R. Masegosa (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2012)

An application of Non-Parametric Predictive Inference on multi-class classification high-level-noise problems. - Joaquín Abellán (Expert Syst. Appl., 2013)

Analysis of traffic accident severity using Decision Rules via Decision Trees. - Joaquín Abellán; Griselda López; Juan de Oña (Expert Syst. Appl., 2013)

Ensembles of decision trees based on imprecise probabilities and uncertainty measures. - Joaquín Abellán (Inf. Fusion, 2013)

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)

Classification with decision trees from a nonparametric predictive inference perspective. - Joaquín Abellán; Rebecca M. Baker; Frank P. A. Coolen; Richard J. Crossman; Andrés R. Masegosa (Comput. Stat. Data Anal., 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)

Improving the Naive Bayes Classifier via a Quick Variable Selection Method Using Maximum of Entropy. - Joaquín Abellán; Javier G. Castellano (Entropy, 2017)

A comparative study on base classifiers in ensemble methods for credit scoring. - Joaquín Abellán; Javier G. Castellano (Expert Syst. Appl., 2017)

Extraction of decision rules via imprecise probabilities. - Joaquín Abellán; Griselda López; Laura Garach; Javier G. Castellano (Int. J. Gen. Syst., 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)

Drawbacks of Uncertainty Measures Based on the Pignistic Transformation. - Joaquín Abellán; Éloi Bossé (IEEE Trans. Syst. Man Cybern. 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)

Combination in Dempster-Shafer Theory Based on a Disagreement Factor Between Evidences. - Joaquín Abellán; Serafín Moral-García; María D. Benítez (ECSQARU, 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)

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)

Maximum of Entropy for Belief Intervals Under Evidence Theory. - Serafín Moral-García; Joaquín Abellán (IEEE Access, 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)

Critique of Recent Uncertainty Measures Developed Under the Evidence Theory and Belief Intervals. - Joaquín Abellán; Éloi Bossé (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Basic Probability Assignments Representable via Belief Intervals for Singletons in Dempster-Shafer Theory. - Serafín Moral-García; Joaquín Abellán (ISIPTA, 2021)

Combination in the theory of evidence via a new measurement of the conflict between evidences. - Joaquín Abellán; Serafín Moral-García; María D. Benítez (Expert Syst. Appl., 2021)

Credal sets representable by reachable probability intervals and belief functions. - Serafín Moral-García; Joaquín Abellán (Int. J. Approx. Reason., 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)

Uncertainty-based information measures on the approximate non-parametric predictive inference model. - Serafín Moral-García; Joaquín Abellán (Int. J. Gen. Syst., 2021)

Required mathematical properties and behaviors of uncertainty measures on belief intervals. - Serafín Moral-García; Joaquín Abellán (Int. J. Intell. Syst., 2021)

A cost-sensitive Imprecise Credal Decision Tree based on Nonparametric Predictive Inference. - Serafín Moral-García; Joaquín Abellán; Tahani Coolen-Maturi; Frank P. A. Coolen (Appl. Soft Comput., 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)

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)

Improving the Results in Credit Scoring by Increasing Diversity in Ensembles of Classifiers. - Serafín Moral-García; Joaquín Abellán (IEEE Access, 2023)

A Variation of the Algorithm to Achieve the Maximum Entropy for Belief Functions. - Joaquín Abellán; Alejandro Pérez-Lara; Serafín Moral-García (Entropy, 2023)

Upgrading the Fusion of Imprecise Classifiers. - Serafín Moral-García; María D. Benítez; Joaquín Abellán (Entropy, 2023)

A Bayesian Imprecise Classification method that weights instances using the error costs. - Serafín Moral-García; Tahani Coolen-Maturi; Frank P. A. Coolen; Joaquín Abellán (Appl. Soft Comput., 2024)

Lazy Multi-Label Classification algorithms based on Non-Parametric Predictive Inference. - Serafín Moral-García; Joaquín Abellán (Expert Syst. Appl., 2024)

A Bagging algorithm for imprecise classification in cost-sensitive scenarios. - Serafín Moral-García; Andrés R. Masegosa; Joaquín Abellán (Inf. Sci., 2025)