Publicaciones (47) Publicaciones de CARLOS JAVIER MANTAS RUIZ

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. Imprecise classification with non-parametric predictive inference

    Communications in Computer and Information Science

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

    Applied Soft Computing Journal, Vol. 88

  4. 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

  4. Interpretation of first-order recurrent neural networks by means of fuzzy rules

    Journal of Intelligent and Fuzzy Systems, Vol. 37, Núm. 3, pp. 4055-4070

2018

  1. AdaptativeCC4.5: Credal C4.5 with a rough class noise estimator

    Expert Systems with Applications, Vol. 92, pp. 363-379

  2. Credal C4.5 with refinement of parameters

    Communications in Computer and Information Science

  3. Credal C4.5 with refinement of parameters

    Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications: 17th International Conference, IPMU 2018, Cádiz, Spain, June 11-15, 2018, Proceedings, Part III

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

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

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

    Journal of Intelligent and Fuzzy Systems

2017

  1. A New Robust Classifier on Noise Domains: Bagging of Credal C4.5 Trees

    Complexity, Vol. 2017

  2. A Random Forest approach using imprecise probabilities

    Knowledge-Based Systems, Vol. 134, pp. 72-84