| An uncertainty-aware transfer learning-based framework for COVID-19 diagnosis A Shamsi, H Asgharnezhad, SS Jokandan, A Khosravi, PM Kebria, ... IEEE transactions on neural networks and learning systems 32 (4), 1408-1417, 2021 | 192 | 2021 |
| Objective evaluation of deep uncertainty predictions for covid-19 detection H Asgharnezhad, A Shamsi, R Alizadehsani, A Khosravi, S Nahavandi, ... Scientific Reports 12 (1), 815, 2022 | 89 | 2022 |
| Uncertainty-aware credit card fraud detection using deep learning M Habibpour, H Gharoun, M Mehdipour, AR Tajally, H Asgharnezhad, ... Engineering Applications of Artificial Intelligence 123, 106248, 2023 | 58 | 2023 |
| Application of machine learning in predicting non-alcoholic fatty liver disease using anthropometric and body composition indices F Razmpour, R Daryabeygi-Khotbehsara, D Soleimani, H Asgharnezhad, ... Scientific reports 13 (1), 4942, 2023 | 18 | 2023 |
| An uncertainty-aware deep learning framework for defect detection in casting products M Habibpour, H Gharoun, AR Tajally, A Shamsi, H Asgharnezhad, ... arXiv preprint arXiv:2107.11643, 2021 | 14 | 2021 |
| Improving mc-dropout uncertainty estimates with calibration error-based optimization A Shamsi, H Asgharnezhad, M Abdar, A Tajally, A Khosravi, S Nahavandi, ... arXiv preprint arXiv:2110.03260, 2021 | 10 | 2021 |
| A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis A Shamsi, H Asgharnezhad, Z Bouchani, K Jahanian, M Saberi, X Wang, ... Neural Computing and Applications 35 (30), 22179-22188, 2023 | 9 | 2023 |
| Confidence aware neural networks for skin cancer detection D Khaledyan, AR Tajally, A Sarkhosh, A Shamsi, H Asgharnezhad, ... arXiv preprint arXiv:2107.09118, 2021 | 9 | 2021 |
| Quantifying uncertainty in automated detection of alzheimer’s patients using deep neural network M Roshanzamir, A Shamsi, H Asgharnezhad, R Alizadehsani, S Hussain, ... Preprints, 2023 | 2 | 2023 |
| Improving PPG Signal Classification with Machine Learning: The Power of a Second Opinion H Asgharnezhad, A Shamsi, I Bakhshayeshi, R Alizadehsani, ... 2023 24th International Conference on Digital Signal Processing (DSP), 1-5, 2023 | 1 | 2023 |
| An intelligent online tool to predict mortality from cancer-related malnutrition using the GLIM criteria N Kiss, A Curtis, MM Hasan, H Asgharnezhad, A Khosravi Deakin University, 2024 | | 2024 |
| Time Series Foundation Models for Load Forecasting: A Comprehensive Analysis H Asgharnezhad, P Tabarisaadi, A Khosravi, H Quan Available at SSRN 5067419, 0 | | |
roohallah alizadehsaniResearch Fellow, IISRI, Deakin UniversityVerified email at deakin.edu.au