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Transformer Fault Diagnosis Based on Stacking Ensemble Learning
IEEJ Transactions on Electrical and Electronic Engineering, 2020Dissolved gas analysis is an important way to diagnose transformer faults. Compared with the method of establishing a single classifier based on artificial intelligence for diagnosis, ensemble learning (EL) can combine multiple classifiers to achieve stronger generalization ability and better diagnostic performance.
Xue Wang, Tao Han
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PreTP-Stack: Prediction of Therapeutic Peptide Based on the Stacked Ensemble Learning
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023Therapeutic peptide prediction is critical for drug development and therapeutic therapy. Researchers have developed several computational methods to identify different therapeutic peptide types. However, most computational methods focus on identifying the specific type of therapeutic peptides and fail to accurately predict all types of therapeutic ...
Ke Yan +5 more
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Instance-based ensemble learning algorithm with stacking framework
2010 2nd International Conference on Software Technology and Engineering, 2010Nowadays the most active research in supervised learning includes an integration of several base classifiers into the combined classification system. Such systems are known under the names multiple classifiers, ensembles methods. This topic attracts an interest of machine learning researchers as multiple classifiers are often much more accurate than ...
Haleh Homayouni +2 more
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Stacking based ensemble learning framework for identification of nitrotyrosine sites
Computers in Biology and MedicineProtein nitrotyrosine is an essential post-translational modification that results from the nitration of tyrosine amino acid residues. This modification is known to be associated with the regulation and characterization of several biological functions and diseases.
Aiman, Parvez +3 more
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Carbon Emissions Forecasting Based on Stacking Ensemble Learning
2022 IEEE 5th International Electrical and Energy Conference (CIEEC), 2022Qianmao Zhang +7 more
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Ensemble deep learning: A review
Engineering Applications of Artificial Intelligence, 2022Minghui Hu +2 more
exaly
Crop Recommendation using Ensemble Stacking Machine Learning approach
2023 IEEE 3rd Mysore Sub Section International Conference (MysuruCon), 2023Punith Kumar, H Varun Prabhu, H N Champa
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Ensemble effect for single-atom, small cluster and nanoparticle catalysts
Nature Catalysis, 2022Yu Guo, Maolin Wang, Dequan Xiao
exaly
Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning
2023Mahmud Iwan Solihin +3 more
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Predictive Model of Employee Attrition Based on Stacking Ensemble Learning
SSRN Electronic Journal, 2022Doohee Chung +3 more
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