Bibliography
Bibliography
- Adamopoulou and Moussiades, 2020 E. Adamopoulou, L. Moussiades, Chatbots: History, technology, and applications, Machine Learning with Applications 2020;2, 100006.
- Alayrac et al., 2019 J.B. Alayrac, J. Uesato, P.S. Huang, A. Fawzi, R. Stanforth, P. Kohli, Are labels required for improving adversarial robustness? Advances in Neural Information Processing Systems 2019;32.
- Albert et al., 2022 P. Albert, D. Ortego, E. Arazo, N.E. O'Connor, K. McGuinness, Addressing out-of-distribution label noise in webly-labelled data, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. 2022:392–401.
- Algan and Ulusoy, 2021 G. Algan, I. Ulusoy, Image classification with deep learning in the presence of noisy labels: ...
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