A comprehensive ensemble pruning framework based on dual-objective maximization trade-off
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10115-024-02125-3.pdf
Reference56 articles.
1. Ganaie M, Hu M, Malik A, Tanveer M, Suganthan P (2022) Ensemble deep learning: a review. Eng Appl Artif Intell 115:105151. https://doi.org/10.1016/j.engappai.2022.105151
2. Kumar M, Bajaj K, Sharma B, Narang S (2022) A comparative performance assessment of optimized multilevel ensemble learning model with existing classifier models. Big Data 10(5):371–387. https://doi.org/10.1089/big.2021.0257
3. Zanon AL, Rocha LCDD, Manzato MG (2022) Balancing the trade-off between accuracy and diversity in recommender systems with personalized explanations based on Linked Open Data. Knowl-Based Syst 252:109333. https://doi.org/10.1016/j.knosys.2022.109333
4. Mohammed AM, Onieva E, Woźniak M (2022) Selective ensemble of classifiers trained on selective samples. Neurocomputing 482:197–211. https://doi.org/10.1016/j.neucom.2021.11.045
5. Obregon J, Jung J (2021) Explanation of ensemble models. Hum Centered Artif Intell. https://doi.org/10.1016/B978-0-323-85648-5.00011-6
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