Joaquín Abellán

According to our database, Joaquín Abellán authored at least 78 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Upgrading the Fusion of Imprecise Classifiers.

Serafín Moral-García, María D. Benítez, Joaquín Abellán

Entropy, July, 2023

A Variation of the Algorithm to Achieve the Maximum Entropy for Belief Functions.

Joaquín Abellán, Alejandro Pérez-Lara, Serafín Moral-García

Entropy, June, 2023

Improving the Results in Credit Scoring by Increasing Diversity in Ensembles of Classifiers.

Serafín Moral-García, Joaquín Abellán

IEEE Access, 2023

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

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

2021

Required mathematical properties and behaviors of uncertainty measures on belief intervals.

Serafín Moral-García, Joaquín Abellán

Int. J. Intell. Syst., 2021

Uncertainty-based information measures on the approximate non-parametric predictive inference model.

Serafín Moral-García, Joaquín Abellán

Int. J. Gen. Syst., 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

Credal sets representable by reachable probability intervals and belief functions.

Serafín Moral-García, Joaquín Abellán

Int. J. Approx. Reason., 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

Basic Probability Assignments Representable via Belief Intervals for Singletons in Dempster-Shafer Theory.

Serafín Moral-García, Joaquín Abellán

Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2021

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

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

Maximum of Entropy for Belief Intervals Under Evidence Theory.

Serafín Moral-García, Joaquín Abellán

IEEE Access, 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

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

Combination in Dempster-Shafer Theory Based on a Disagreement Factor Between Evidences.

Joaquín Abellán, Serafín Moral-García, María D. Benítez

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 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

Drawbacks of Uncertainty Measures Based on the Pignistic Transformation.

Joaquín Abellán, Éloi Bossé

IEEE Trans. Syst. Man Cybern. Syst., 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

Extraction of decision rules via imprecise probabilities.

Joaquín Abellán, Griselda López, Laura Garach, Javier G. Castellano

Int. J. Gen. Syst., 2017

A comparative study on base classifiers in ensemble methods for credit scoring.

Joaquín Abellán, Javier G. Castellano

Expert Syst. Appl., 2017

Improving the Naive Bayes Classifier via a Quick Variable Selection Method Using Maximum of Entropy.

Joaquín Abellán, Javier G. Castellano

Entropy, 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

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

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

2013

Ensembles of decision trees based on imprecise probabilities and uncertainty measures.

Joaquín Abellán

Inf. Fusion, 2013

Analysis of traffic accident severity using Decision Rules via Decision Trees.

Joaquín Abellán, Griselda López, Juan de Oña

Expert Syst. Appl., 2013

An application of Non-Parametric Predictive Inference on multi-class classification high-level-noise problems.

Joaquín Abellán

Expert Syst. Appl., 2013

2012

Imprecise Classification with Credal Decision Trees.

Joaquín Abellán, Andrés R. Masegosa

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2012

Equivalence relations among dominance concepts on probability intervals and general credal sets.

Joaquín Abellán

Int. J. Gen. Syst., 2012

Determining dependence relations using a new score based on imprecise probabilities.

Joaquín Abellán, Serafín Moral

Intell. Data Anal., 2012

Bagging schemes on the presence of class noise in classification.

Joaquín Abellán, Andrés R. Masegosa

Expert Syst. Appl., 2012

2011

Combining nonspecificity measures in Dempster-Shafer theory of evidence.

Joaquín Abellán

Int. J. Gen. Syst., 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

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

2010

An ensemble method using credal decision trees.

Joaquín Abellán, Andrés R. Masegosa

Eur. J. Oper. Res., 2010

Bagging Decision Trees on Data Sets with Classification Noise.

Joaquín Abellán, Andrés R. Masegosa

Proceedings of the Foundations of Information and Knowledge Systems, 2010

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

An Experimental Study about Simple Decision Trees for Bagging Ensemble on Datasets with Classification Noise.

Joaquín Abellán, Andrés R. Masegosa

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

2008

Requirements for total uncertainty measures in Dempster-Shafer theory of evidence.

Joaquín Abellán, Andrés R. Masegosa

Int. J. Gen. Syst., 2008

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

Combining Decision Trees Based on Imprecise Probabilities and Uncertainty Measures.

Joaquín Abellán, Andrés R. Masegosa

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

Split Criterions for Variable Selection Using Decision Trees.

Joaquín Abellán, Andrés R. Masegosa

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

A Semi-naive Bayes Classifier with Grouping of Cases.

Joaquín Abellán, Andrés Cano, Andrés R. Masegosa, Serafín Moral

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

2006

An Algorithm to Compute the Upper Entropy for Order-2 Capacities.

Joaquín Abellán, Serafín Moral

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2006

Disaggregated total uncertainty measure for credal sets.

Joaquín Abellán, George J. Klir, Serafín Moral

Int. J. Gen. Syst., 2006

Application of uncertainty measures on credal sets on the naive Bayesian classifier.

Joaquín Abellán

Int. J. Gen. Syst., 2006

Uncertainty measures on probability intervals from the imprecise Dirichlet model.

Joaquín Abellán

Int. J. Gen. Syst., 2006

Measures of divergence on credal sets.

Joaquín Abellán, Manuel Gómez-Olmedo

Fuzzy Sets Syst., 2006

Book review.

Joaquín Abellán

Fuzzy Sets Syst., 2006

Varying Parameter in Classification Based on Imprecise Probabilities.

Joaquín Abellán, Serafín Moral, Manuel Gómez-Olmedo, Andrés R. Masegosa

Proceedings of the Soft Methods for Integrated Uncertainty Modelling, 2006

Some Variations on the PC Algorithm.

Joaquín Abellán, Manuel Gómez-Olmedo, Serafín Moral

Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

2005

Corrigendum: "a Non-specificity Measure for Convex Sets of Probability Distributions".

Joaquín Abellán, Serafín Moral

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2005

Difference of entropies as a non-specificity function on credal sets†.

Joaquín Abellán, Serafín Moral

Int. J. Gen. Syst., 2005

Additivity of uncertainty measures on credal sets.

Joaquín Abellán, George J. Klir

Int. J. Gen. Syst., 2005

Upper entropy of credal sets. Applications to credal classification.

Joaquín Abellán, Serafín Moral

Int. J. Approx. Reason., 2005

New Score for Independence Based on the Imprecise Dirichlet Model.

Joaquín Abellán, Serafín Moral

Proceedings of the ISIPTA '05, 2005

2003

Maximum of Entropy for Credal Sets.

Joaquín Abellán, Serafín Moral

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2003

Building classification trees using the total uncertainty criterion.

Joaquín Abellán, Serafín Moral

Int. J. Intell. Syst., 2003

Maximum of Entropy in Credal Classification.

Joaquín Abellán, Serafín Moral

Proceedings of the ISIPTA '03, 2003

2000

A Non-Specificity Measure for Convex Sets of Probability Distributions.

Joaquín Abellán, Serafín Moral

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2000