[1] Imran, A., & Athitsos, V. (2020). Domain Adaptive Transfer Learningon Visual Attention Aware Data Augmentation for Fine-grained Visual Categorization. arXiv preprint arXiv:2010.03071. Retrieved from https://arxiv.org/abs/2010.03071.

[2] Z. Lu, G. Sreekumar, E. Goodman, W. Banzhaf, K. Deb and V. N. Boddeti, ”Neural Architecture Transfer,” in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, no. 9, pp. 2971-2989, 1 Sept. 2021, doi: 10.1109/TPAMI.2021.3052758.

[3] Lee, J., Won, T., & Hong, K.Y. (2020). Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network. ArXiv, abs/2001.06268.

[4] M. T. Islam, B. M. N. Karim Siddique, S. Rahman and T. Jabid, ”Food Image Classification with Convolutional Neural Network,” 2018 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS), Bangkok, Thailand, 2018, pp. 257-262, doi: 10.1109/ICI IBMS.2018.8550005.

[5] D. J. Attokaren, I. G. Fernandes, A. Sriram, Y. V. S. Murthy and S. G. Koolagudi, ”Food classification from images using convolutional neural networks,” TENCON 2017- 2017 IEEE Region 10 Conference, Penang, Malaysia, 2017, pp. 2801-2806, doi: 10.1109/TENCON.2017.8228338.

[6] Y. Yorozu, M. Hirano, K. Oka, and Y. Tagawa, “Electron spectroscopy studies on magneto-optical media and plastic substrate interface,” IEEE Transl. J. Magn. Japan, vol. 2, pp. 740–741, August 1987 [Digests 9th Annual Conf. Magnetics Japan, p. 301, 1982].

[7] D. Al-Rubaye and S. Ayvaz, ”Deep Transfer Learning and Data Augmentation for Food Image Classification,” 2022 Iraqi International Conference on Communication and Information Technologies (IICCIT), Basrah, Iraq, 2022, pp. 125-130, doi: 10.1109/IICCIT55816.2022.10010432.

[8] Bossard, L., Guillaumin, M., & Van Gool, L. (2014). Food-101: Mining Discriminative Components with Random Forests. European Conference on Computer Vision (ECCV).

[9] He, K., Zhang, X., Ren, S., Sun, J. (2016). Deep residual learning for image recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 770-778).

[10] Simonyan, K. (2014). Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556.

[11] Ribeiro, M. T., Singh, S., Guestrin, C. (2016, August). ” Why should i trust you?” Explaining the predictions of any classifier. In Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining (pp. 1135-1144)