Recommender system: prediction/diagnosis of breast cancer using hybrid machine learning algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-12144-3.pdf
Reference16 articles.
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4. Felfernig A, Friedrich G, Schmidt-Thieme L (2007) Introduction to the IEEE intelligent systems special issue: recommender systems. IEEE Intell Syst 22(3):18–21
5. Forouzandeh S, Berahmand K, Rostami M (2021) Presentation of a recommender system with ensemble learning and graph embedding: a case on MovieLens. Multimed Tools Appl 80(5):7805–7832
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Efficient feature selection for breast cancer classification using soft computing approach: A novel clinical decision support system;Multimedia Tools and Applications;2023-10-16
2. Optimization of artificial neural network structure and hyperparameters in hybrid model by genetic algorithm: iOS–android application for breast cancer diagnosis/prediction;The Journal of Supercomputing;2023-09-14
3. Optimization of artificial neural network structure and hyperparameters in hybrid model by genetic algorithm: iOS-android application for breast cancer diagnosis/prediction;J SUPERCOMPUT;2023
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