Joaquín Abellán
Orcid: 0000-0001-9018-5165
According to our database1,
Joaquín Abellán
authored at least 80 papers
between 2000 and 2024.
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Bibliography
2024
Lazy Multi-Label Classification algorithms based on Non-Parametric Predictive Inference.
Expert Syst. Appl., 2024
A Bayesian Imprecise Classification method that weights instances using the error costs.
Appl. Soft Comput., 2024
2023
Entropy, June, 2023
Improving the Results in Credit Scoring by Increasing Diversity in Ensembles of Classifiers.
IEEE Access, 2023
2022
Knowl. Based Syst., 2022
Neurocomputing, 2022
Int. J. Approx. Reason., 2022
A cost-sensitive Imprecise Credal Decision Tree based on Nonparametric Predictive Inference.
Appl. Soft Comput., 2022
2021
Required mathematical properties and behaviors of uncertainty measures on belief intervals.
Int. J. Intell. Syst., 2021
Uncertainty-based information measures on the approximate non-parametric predictive inference model.
Int. J. Gen. Syst., 2021
A Decision Support Tool for Credit Domains: Bayesian Network with a Variable Selector Based on Imprecise Probabilities.
Int. J. Fuzzy Syst., 2021
Int. J. Approx. Reason., 2021
Combination in the theory of evidence via a new measurement of the conflict between evidences.
Expert Syst. Appl., 2021
Basic Probability Assignments Representable via Belief Intervals for Singletons in Dempster-Shafer Theory.
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.
IEEE Trans. Syst. Man Cybern. Syst., 2020
On the Use of m-Probability-Estimation and Imprecise Probabilities in the Naïve Bayes Classifier.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2020
Expert Syst. Appl., 2020
Appl. Soft Comput., 2020
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.
Soft Comput., 2019
Ensemble of classifier chains and Credal C4.5 for solving multi-label classification.
Prog. Artif. Intell., 2019
Decision Tree Ensemble Method for Analyzing Traffic Accidents of Novice Drivers in Urban Areas.
Entropy, 2019
Combination in Dempster-Shafer Theory Based on a Disagreement Factor Between Evidences.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019
Proceedings of the Information Quality in Information Fusion and Decision Making, 2019
2018
IEEE Trans. Syst. Man Cybern. Syst., 2018
J. Intell. Fuzzy Syst., 2018
Increasing diversity in random forest learning algorithm via imprecise probabilities.
Expert Syst. Appl., 2018
Expert Syst. Appl., 2018
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018
2017
Expert Syst. Appl., 2017
Improving the Naive Bayes Classifier via a Quick Variable Selection Method Using Maximum of Entropy.
Entropy, 2017
Complex., 2017
2016
Expert Syst. Appl., 2016
2014
Expert Syst. Appl., 2014
Analysis and extension of decision trees based on imprecise probabilities: Application on noisy data.
Expert Syst. Appl., 2014
Improving experimental studies about ensembles of classifiers for bankruptcy prediction and credit scoring.
Expert Syst. Appl., 2014
Classification with decision trees from a nonparametric predictive inference perspective.
Comput. Stat. Data Anal., 2014
Using Imprecise Probabilities to Extract Decision Rules via Decision Trees for Analysis of Traffic Accidents.
Proceedings of the Rough Sets and Current Trends in Computing, 2014
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
2013
Ensembles of decision trees based on imprecise probabilities and uncertainty measures.
Inf. Fusion, 2013
Expert Syst. Appl., 2013
An application of Non-Parametric Predictive Inference on multi-class classification high-level-noise problems.
Expert Syst. Appl., 2013
2012
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2012
Equivalence relations among dominance concepts on probability intervals and general credal sets.
Int. J. Gen. Syst., 2012
Intell. Data Anal., 2012
Expert Syst. Appl., 2012
2011
Int. J. Gen. Syst., 2011
Intell. Data Anal., 2011
Maximising entropy on the nonparametric predictive inference model for multinomial data.
Eur. J. Oper. Res., 2011
2010
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.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2009
An Experimental Study about Simple Decision Trees for Bagging Ensemble on Datasets with Classification Noise.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009
2008
Int. J. Gen. Syst., 2008
2007
Hill-climbing and branch-and-bound algorithms for exact and approximate inference in credal networks.
Int. J. Approx. Reason., 2007
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007
2006
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2006
Int. J. Gen. Syst., 2006
Int. J. Gen. Syst., 2006
Proceedings of the Soft Methods for Integrated Uncertainty Modelling, 2006
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006
2005
Corrigendum: "a Non-specificity Measure for Convex Sets of Probability Distributions".
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2005
Int. J. Gen. Syst., 2005
Int. J. Approx. Reason., 2005
New Score for Independence Based on the Imprecise Dirichlet Model.
Proceedings of the ISIPTA '05, 2005
2003
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2003
Int. J. Intell. Syst., 2003
Maximum of Entropy in Credal Classification.
Proceedings of the ISIPTA '03, 2003
2000
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2000