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ORCIDAfshar Shamsi Jokandan
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2020 – today
- 2023
[j4]Maryam Habibpour, Hassan Gharoun
, Mohammadreza Mehdipour, AmirReza Tajally, Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Abbas Khosravi, Saeid Nahavandi:
Uncertainty-aware credit card fraud detection using deep learning. Eng. Appl. Artif. Intell. 123(Part A): 106248 (2023)- [j3]Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Ziba Bouchani, Khadijeh Jahanian, Morteza Saberi, Xianzhi Wang, Imran Razzak, Roohallah Alizadehsani, Arash Mohammadi, Hamid Alinejad-Rokny:
A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis. Neural Comput. Appl. 35(30): 22179-22188 (2023) - [c2]Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Ivan Bakhshayeshi, Roohallah Alizadehsani, Somayyeh Chamaani, Hamid Alinejad-Rokny:
Improving PPG Signal Classification with Machine Learning: The Power of a Second Opinion. DSP 2023: 1-5 - 2021
- [j2]Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Shirin Shamsi Jokandan, Abbas Khosravi, Parham M. Kebria, Darius Nahavandi, Saeid Nahavandi, Dipti Srinivasan:
An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1408-1417 (2021) - [i6]Donya Khaledyan, AmirReza Tajally, Ali Sarkhosh, Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Abbas Khosravi, Saeid Nahavandi:
Confidence Aware Neural Networks for Skin Cancer Detection. CoRR abs/2107.09118 (2021) - [i5]Maryam Habibpour, Hassan Gharoun, AmirReza Tajally, Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Abbas Khosravi, Saeid Nahavandi:
An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products. CoRR abs/2107.11643 (2021) - [i4]Maryam Habibpour, Hassan Gharoun, Mohammadreza Mehdipour, AmirReza Tajally, Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Abbas Khosravi, Miadreza Shafie-Khah, Saeid Nahavandi, João P. S. Catalão:
Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning. CoRR abs/2107.13508 (2021) - [i3]Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Moloud Abdar, AmirReza Tajally, Abbas Khosravi, Saeid Nahavandi, Henry Leung:
Improving MC-Dropout Uncertainty Estimates with Calibration Error-based Optimization. CoRR abs/2110.03260 (2021) - 2020
- [i2]Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Shirin Shamsi Jokandan, Abbas Khosravi, Parham M. Kebria, Darius Nahavandi, Saeid Nahavandi, Dipti Srinivasan:
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 Diagnosis. CoRR abs/2007.14846 (2020) - [i1]Hamzeh Asgharnezhad, Afshar Shamsi Jokandan, Roohallah Alizadehsani, Abbas Khosravi, Saeid Nahavandi, Zahra Alizadeh Sani, Dipti Srinivasan:
Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection. CoRR abs/2012.11840 (2020)
2010 – 2019
- 2019
- [c1]Afshar Shamsi Jokandan, Abbas Khosravi, Saeid Nahavandi:
Performance Comparison of Type-1 and Type-2 Neuro-Fuzzy Controllers for a Flexible Joint Manipulator. ICONIP (1) 2019: 621-632 - 2017
- [j1]Yaghoub Pour Asad, Afshar Shamsi Jokandan, Jafar Tavoosi:
Backstepping-Based Recurrent Type-2 Fuzzy Sliding Mode Control for MIMO Systems (MEMS Triaxial Gyroscope Case Study). Int. J. Uncertain. Fuzziness Knowl. Based Syst. 25(2): 213-234 (2017)
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