Author:
Feng Yanzi,Wang Jian,Ren Peng,Ablameyko Sergey
Publisher
Springer Nature Singapore
Reference18 articles.
1. Adedigba, A.P., Adeshina, S.A., Aibinu, A.M.: Performance evaluation of deep learning models on mammogram classification using small dataset. Bioengineering 9(4), 161 (2022)
2. Bansal, A., Singhrova, A.: Performance analysis of supervised machine learning algorithms for diabetes and breast cancer dataset. In: 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS), pp. 137–143. IEEE (2021)
3. Berthelot, D., Carlini, N., Goodfellow, I., Papernot, N., Oliver, A., Raffel, C.A.: Mixmatch: a holistic approach to semi-supervised learning. In: Advances in Neural Information Processing Systems 32 (2019)
4. Chandra, M.A., Bedi, S.: Survey on SVM and their application in image classification. Int. J. Inf. Technol. 13, 1–11 (2021)
5. Gong, X., Yu, L., Wang, J., Zhang, K., Bai, X., Pal, N.R.: Unsupervised feature selection via adaptive autoencoder with redundancy control. Neural Netw. 150, 87–101 (2022)