MAIPI
Manejo y Aplicaciones de la Imprecisión a través de Probabilidades Imprecisas
Publicaciones (15) Publicaciones en las que ha participado algún/a investigador/a
2023
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A Variation of the Algorithm to Achieve the Maximum Entropy for Belief Functions
Entropy, Vol. 25, Núm. 6
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Improving the Results in Credit Scoring by Increasing Diversity in Ensembles of Classifiers
IEEE Access, Vol. 11, pp. 58451-58461
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Upgrading the Fusion of Imprecise Classifiers
Entropy, Vol. 25, Núm. 7
2022
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A cost-sensitive Imprecise Credal Decision Tree based on Nonparametric Predictive Inference
Applied Soft Computing, Vol. 123
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A new label ordering method in Classifier Chains based on imprecise probabilities
Neurocomputing, Vol. 487, pp. 34-45
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Using Credal C4.5 for Calibrated Label Ranking in Multi-Label Classification
International Journal of Approximate Reasoning, Vol. 147, pp. 60-77
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Using extreme prior probabilities on the Naive Credal Classifier
Knowledge-Based Systems, Vol. 237
2021
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A Decision Support Tool for Credit Domains: Bayesian Network with a Variable Selector Based on Imprecise Probabilities
International Journal of Fuzzy Systems, Vol. 23, Núm. 7, pp. 2004-2020
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Basic Probability Assignments Representable via Belief Intervals for Singletons in Dempster-Shafer Theory
Proceedings of Machine Learning Research
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Combination in the theory of evidence via a new measurement of the conflict between evidences
Expert Systems with Applications, Vol. 178
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Credal sets representable by reachable probability intervals and belief functions
International Journal of Approximate Reasoning, Vol. 129, pp. 84-102
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Required mathematical properties and behaviors of uncertainty measures on belief intervals
International Journal of Intelligent Systems, Vol. 36, Núm. 8
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Uncertainty-based information measures on the approximate non-parametric predictive inference model
International Journal of General Systems, Vol. 50, Núm. 2, pp. 159-181
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Using Credal C4.5 for Calibrated Label Ranking in Multi-Label Classification
Proceedings of the Twelveth International Symposium on Imprecise Probability: Theories and Applications
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Using Credal C4.5 for Calibrated Label Ranking in Multi-Label Classification
Proceedings of Machine Learning Research