Khosravi, Abbas

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Abdar, M., Pourpanah, F., Hussain, S., Rezazadegan, D., Liu, L., Ghavamzadeh, M., Fieguth, P., Cao, X., Khosravi, A., Acharya, U. R., et al. (2021) · Information Fusion

Adversarial Robustness in Machine LearningGaussian Processes and Bayesian Inference

Cited by 3,111

The need for quantification of uncertainty in artificial intelligence for clinical data analysis: increasing the level of trust in the decision-making process

Abdar, M., Khosravi, A., Islam, S. M. S., Acharya, U. R., & Vasilakos, A. V. (2022) · IEEE Systems, Man, and Cybernetics Magazine

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 55

Optimal uncertainty-guided neural network training

Kabir, H. M. D., Khosravi, A., Kavousi-Fard, A., Nahavandi, S., & Srinivasan, D. (2021) · Applied Soft Computing

Energy Load and Power ForecastingNeural Networks and Applications

Cited by 48

Material Recognition for Automated Progress Monitoring using Deep Learning Methods

Mahami, H., Ghassemi, N., Darbandy, M. T., Shoeibi, A., Hussain, S., Nasirzadeh, F., Alizadehsani, R., Nahavandi, D., Khosravi, A., & Nahavandi, S. (2020) · arXiv

Advanced Neural Network ApplicationsInfrastructure Maintenance and Monitoring

Cited by 25