Publicaciones en las que colabora con FRANCISCO JAVIER GARCÍA CASTELLANO (13)

2022

  1. A new label ordering method in Classifier Chains based on imprecise probabilities

    Neurocomputing, Vol. 487, pp. 34-45

  2. Using Credal C4.5 for Calibrated Label Ranking in Multi-Label Classification

    International Journal of Approximate Reasoning, Vol. 147, pp. 60-77

  3. Using extreme prior probabilities on the Naive Credal Classifier

    Knowledge-Based Systems, Vol. 237

2021

  1. 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

  2. Using Credal C4.5 for Calibrated Label Ranking in Multi-Label Classification

    Proceedings of Machine Learning Research

2020

  1. Bagging of credal decision trees for imprecise classification

    Expert Systems with Applications, Vol. 141

  2. Non-parametric predictive inference for solving multi-label classification

    Applied Soft Computing Journal, Vol. 88

  3. On the Use of m-Probability-Estimation and Imprecise Probabilities in the Naïve Bayes Classifier

    International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 28, Núm. 4, pp. 661-682

2019

  1. A comparison of random forest based algorithms: random credal random forest versus oblique random forest

    Soft Computing, Vol. 23, Núm. 21, pp. 10739-10754

  2. Decision tree ensemble method for analyzing traffic accidents of novice drivers in urban areas

    Entropy, Vol. 21, Núm. 4

  3. Ensemble of classifier chains and Credal C4.5 for solving multi-label classification

    Progress in Artificial Intelligence, Vol. 8, Núm. 2, pp. 195-213

2018

  1. Increasing diversity in random forest learning algorithm via imprecise probabilities

    Expert Systems with Applications, Vol. 97, pp. 228-243

  2. Using Credal-C4.5 with Binary Relevance for Multi-Label Classification

    Journal of Intelligent and Fuzzy Systems