| 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 | 188 | 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 | 57 | 2023 |
| Backstepping-based recurrent type-2 fuzzy sliding mode control for MIMO systems (MEMS triaxial gyroscope case study) YP Asad, A Shamsi, J Tavoosi International journal of uncertainty, fuzziness and knowledge-based systems …, 2017 | 36 | 2017 |
| A new method for position control of a 2-DOF robot arm using neuro-fuzzy controller J Tavoosi, AS Jokandan, MA Daneshwar Indian Journal of Science and Technology 5 (3), 2253-2257, 2012 | 33 | 2012 |
| 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 |
| Adaptive intelligent inverse control of nonlinear systems with regard to sensor noise and parameter uncertainty (magnetic ball levitation system case study) YP Asad, A Shamsi, H Ivani, J Tavoosi International Journal on Smart Sensing and Intelligent Systems 9 (1), 148, 2016 | 16 | 2016 |
| 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 | 13 | 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 | 12 | 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 |
| An uncertainty-aware loss function for training neural networks with calibrated predictions A Shamsi, H Asgharnezhad, AR Tajally, S Nahavandi, H Leung arXiv preprint arXiv:2110.03260, 2021 | 5 | 2021 |
| Bayesian low-rank learning (bella): A practical approach to bayesian neural networks BG Doan, A Shamsi, XY Guo, A Mohammadi, H Alinejad-Rokny, ... Accepted in AAAI, arXiv preprint arXiv:2407.20891, 2024 | 4 | 2024 |
| Quantifying uncertainty in automated detection of alzheimer’s patients using deep neural network M Roshanzamir, A Shamsi, H Asgharnezhad, R Alizadehsani, S Hussain, ... arXiv preprint arXiv:1502.02072, 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 |
| Performance comparison of Type-1 and Type-2 neuro-fuzzy controllers for a flexible joint manipulator AS Jokandan, A Khosravi, S Nahavandi Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019 | 1 | 2019 |
| ETAGE: Enhanced Test Time Adaptation with Integrated Entropy and Gradient Norms for Robust Model Performance A Shamsi, R Becirovic, A Argha, E Abbasnejad, H Alinejad-Rokny, ... arXiv preprint arXiv:2409.09251, 2024 | | 2024 |
