| A comparison of random forest based algorithms: random credal random forest versus oblique random forest CJ Mantas, JG Castellano, S Moral-García, J Abellán Soft Computing 23, 10739-10754, 2019 | 90 | 2019 |
| Increasing diversity in random forest learning algorithm via imprecise probabilities J Abellan, CJ Mantas, JG Castellano, S Moral-García Expert Systems with Applications 97, 228-243, 2018 | 56 | 2018 |
| Bagging of credal decision trees for imprecise classification S Moral-García, CJ Mantas, JG Castellano, MD Benítez, J Abellan Expert Systems with Applications 141, 112944, 2020 | 51 | 2020 |
| Decision tree ensemble method for analyzing traffic accidents of novice drivers in urban areas S Moral-García, JG Castellano, CJ Mantas, A Montella, J Abellán Entropy 21 (4), 360, 2019 | 45 | 2019 |
| Critique of modified Deng entropies under the evidence theory S Moral-García, J Abellán Chaos, Solitons & Fractals 140, 110112, 2020 | 26 | 2020 |
| Combination in the theory of evidence via a new measurement of the conflict between evidences J Abellán, S Moral-García, MD Benítez Expert Systems with Applications 178, 114987, 2021 | 19 | 2021 |
| Ensemble of classifier chains and Credal C4. 5 for solving multi-label classification S Moral-García, CJ Mantas, JG Castellano, J Abellán Progress in Artificial Intelligence 8, 195-213, 2019 | 19 | 2019 |
| Using credal c4. 5 for calibrated label ranking in multi-label classification S Moral-García, CJ Mantas, JG Castellano, J Abellán International Journal of Approximate Reasoning 147, 60-77, 2022 | 13 | 2022 |
| Required mathematical properties and behaviors of uncertainty measures on belief intervals S Moral‐García, J Abellán International Journal of Intelligent Systems 36 (8), 2021 | 13 | 2021 |
| Maximum of entropy for belief intervals under evidence theory S Moral-García, J Abellan IEEE Access 8, 118017-118029, 2020 | 13 | 2020 |
| Non-parametric predictive inference for solving multi-label classification S Moral-García, CJ Mantas, JG Castellano, J Abellán Applied Soft Computing 88, 106011, 2020 | 13 | 2020 |
| Using credal-C4. 5 with binary relevance for multi-label classification S Moral-García, CJ Mantas, JG Castellano, J Abellán Journal of Intelligent & Fuzzy Systems 35 (6), 6501-6512, 2018 | 8 | 2018 |
| A new label ordering method in Classifier Chains based on imprecise probabilities S Moral-García, JG Castellano, CJ Mantas, J Abellán Neurocomputing 487, 34-45, 2022 | 6 | 2022 |
| Imprecise Classification with Non-parametric Predictive Inference S Moral-García, CJ Mantas, JG Castellano, J Abellán International Conference on Information Processing and Management of …, 2020 | 6 | 2020 |
| A cost-sensitive imprecise credal decision tree based on nonparametric predictive inference S Moral-García, J Abellán, T Coolen-Maturi, FPA Coolen Applied Soft Computing 123, 108916, 2022 | 5 | 2022 |
| Credal sets representable by reachable probability intervals and belief functions S Moral-García, J Abellán International Journal of Approximate Reasoning 129, 84-102, 2021 | 5 | 2021 |
| A decision support tool for credit domains: Bayesian network with a variable selector based on imprecise probabilities JG Castellano, S Moral-García, CJ Mantas, MD Benítez, J Abellán International Journal of Fuzzy Systems 23, 2004-2020, 2021 | 3 | 2021 |
| On the Use of m-Probability-Estimation and Imprecise Probabilities in the Naïve Bayes Classifier JG Castellano, S Moral-García, CJ Mantas, J Abellán International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2020 | 3 | 2020 |
| Using extreme prior probabilities on the Naive Credal Classifier S Moral-García, JG Castellano, CJ Mantas, J Abellán Knowledge-Based Systems 237, 107707, 2022 | 2 | 2022 |
| Uncertainty-based information measures on the approximate non-parametric predictive inference model S Moral-García, J Abellán International Journal of General Systems 50 (2), 159-181, 2021 | 2 | 2021 |
