Classification of Raisin Grains Based on Ensemble Learning Techniques in Machine Learning

Author:

Hai Nguyen Huu,Thao Nguyen Xuan,Quynh Tran Duc,Dung Pham Quang,Dong Nguyen Doan,Hieu Tran Trung,Huong Hoang Thi

Publisher

Springer Nature Switzerland

Reference14 articles.

1. Bakhshipour, A., Jafari, A., Zomorodian, A.: Vision based features in moisture content measurement during raisin production. World Appl. Sci. J. 17(17), 860–869 (2012)

2. Bergstra, J., Bengio, Y.: Random search for hyper-parameter optimization. J. Mach. Learn. Res. 13(1), 281–305 (2012)

3. Bisri, A., Man, M.: Machine learning algorithms based on sampling techniques for raisin grains classification. Int. J. Inform. Vis. 7(1), 7–14 (2023)

4. Breiman, L.: Random forests. Mach. Learn. 45(1) (2001)

5. Çinar, İ., Koklu, M., Taşdemir, Ş.: Classification of raisin grains using machine vision and artificial intelligence methods. Gazi Mühendislik Bilimleri Dergisi 6(3), 200–209 (2020)

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