受强制性开放获取政策约束的文章 - Javier García Castellano了解详情
无法在其他位置公开访问的文章:7 篇
A random forest approach using imprecise probabilities
J Abellán, CJ Mantas, JG Castellano
Knowledge-Based Systems 134, 72-84, 2017
强制性开放获取政策: Government of Spain
Increasing diversity in Random Forest learning algorithm via imprecise probabilities
J Abellán, CJ Mantas, JG Castellano, S Moral-García
Expert Systems with Applications 97, 228-243, 2018
强制性开放获取政策: Government of Spain
Analysis of Credal-C4. 5 for classification in noisy domains
CJ Mantas, J Abellán, JG Castellano
Expert Systems with Applications 61, 314-326, 2016
强制性开放获取政策: Government of Spain
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 (pre-6), 6501-6512, 2018
强制性开放获取政策: Government of Spain
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
强制性开放获取政策: Government of Spain
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
强制性开放获取政策: Government of Spain
Credal C4. 5 with Refinement of Parameters
CJ Mantas, J Abellán, JG Castellano, JR Cano, S Moral
Information Processing and Management of Uncertainty in Knowledge-Based …, 2018
强制性开放获取政策: Government of Spain
可在其他位置公开访问的文章:13 篇
A comparative study on base classifiers in ensemble methods for credit scoring
J Abellán, JG Castellano
Expert systems with applications 73, 1-10, 2017
强制性开放获取政策: Government of Spain
Improving the Naive Bayes Classifier via a Quick Variable Selection Method Using Maximum of Entropy
J Abellán, JG Castellano
Entropy 19 (16), 2017
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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
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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
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Bayesian networks classifiers for gene-expression data
LM De Campos, A Cano, JG Castellano, S Moral
2011 11th International Conference on Intelligent Systems Design and …, 2011
强制性开放获取政策: Government of Spain
AdaptativeCC4. 5: Credal C4. 5 with a rough class noise estimator
J Abellán, CJ Mantas, JG Castellano
Expert Systems with Applications 92, 363-379, 2018
强制性开放获取政策: Government of Spain
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
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Combining gene expression data and prior knowledge for inferring gene regulatory networks via Bayesian networks using structural restrictions
LM de Campos, A Cano, JG Castellano, S Moral
Statistical Applications in Genetics and Molecular Biology, 2019
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Non-parametric predictive inference for solving multi-label classification
S Moral-García, CJ Mantas, JG Castellano, J Abellán
Applied Soft Computing 88, 106011, 2020
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A new robust classifier on noise domains: Bagging of Credal-C4. 5 trees
J Abellán, JG Castellano, CJ Mantas
Complexity 2017 (Article ID 9023970), 1-17, 2017
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Extraction of decision rules via imprecise probabilities
J Abellán, G López, L Garach, JG Castellano
International Journal of General Systems 46 (4), 313-331, 2017
强制性开放获取政策: Government of Spain
Imprecise classification with non-parametric predictive inference
S Moral, CJ Mantas, JG Castellano, J Abellán
International Conference on Information Processing and Management of …, 2020
强制性开放获取政策: Government of Spain
Using extreme prior probabilities on the Naive Credal Classifier
S Moral-García, JG Castellano, CJ Mantas, J Abellán
Knowledge-Based Systems 237, 107707, 2022
强制性开放获取政策: Government of Spain
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