This repository contains several scripts of Uncertainty-Aware Neural Network Trainining. We apply codes to several datasets and upload codes in Jupyter Notebooks with execution details.
Kabir, H.M., 2023. Reduction of Class Activation Uncertainty with Background Information. arXiv preprint arXiv:2305.03238.
Kabir, H.D., Khosravi, A., Kavousi-Fard, A., Nahavandi, S. and Srinivasan, D., 2021. Optimal uncertainty-guided neural network training. Applied Soft Computing, 99, p.106878.
Folder 'UQ Considering Similarity, Sensitivity and Error Sensitivity' conains scripts of the following paper:
Kabir, H.M., Mondal, S.K., Khanam, S., Khosravi, A., Rahman, S., Qazani, M.R.C., Alizadehsani, R., Asadi, H., Mohamed, S., Nahavandi, S. and Acharya, U.R., 2023. Uncertainty Aware Neural Network from Similarity and Sensitivity. arXiv preprint arXiv:2304.14925.
Kabir, H.D., Khosravi, A., Nahavandi, D. and Nahavandi, S., 2020, July. Uncertainty quantification neural network from similarity and sensitivity. In 2020 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE.
Kabir, H.D., Khanam, S., Khozeimeh, F., Khosravi, A., Mondal, S.K., Nahavandi, S. and Acharya, U.R., 2022. Aleatory-aware deep uncertainty quantification for transfer learning. Computers in Biology and Medicine, 143, p.105246.