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| Stacking Ensemble Technique for Classifying Breast Cancer |
| Hyunjin Kwon, Jinhyeok Park, Youngho Lee |
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Healthc Inform Res. 2019;25(4):283-288. Published online October 31, 2019 DOI: https://doi.org/10.4258/hir.2019.25.4.283 |
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Stacking Ensemble Technique for Classifying Breast Cancer Healthcare Informatics Research. 2019;25(4):283  Stacking-Based Ensemble Framework and Feature Selection Technique for the Detection of Breast Cancer SN Computer Science. 2021;2(2): A deep ensemble network model for classifying and predicting breast cancer Computational Intelligence. 2022; Breast Cancer Prediction using Ensemble Technique 2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS). 2022; Optimized Stacking Ensemble Learning Model for Breast Cancer Detection and Classification Using Machine Learning Sustainability. 2022;14(21):13998 Can–Evo–Ens: Classifier stacking based evolutionary ensemble system for prediction of human breast cancer using amino acid sequences Journal of Biomedical Informatics. 2015;54:256-269 F-test feature selection in Stacking ensemble model for breast cancer prediction Procedia Computer Science. 2020;171:1561-1570 Application of Stacking and Blending Ensemble Strategies in Breast Cancer Drug Candidates 2022 International Conference on Computer Network, Electronic and Automation (ICCNEA). 2022; Machine Learning approach for Numerical technique for classifying Cysts and Malignant Tumors in Breast . 2022; An Efficient Stacking Ensemble Technique for Success Prediction of Indian Ventures 2022 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI). 2022; |
