Hamzeh Asgharnezhad

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 10

Top Topics

Weakly Supervised

Cancer Diagnosis

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Eng. Appl. Artif. Intell.

Publications

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) (2023)
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)
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) (2023)
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 (2021)
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) (2021)
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 (2021)
Donya Khaledyan, AmirReza Tajally, Ali Sarkhosh, Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Abbas Khosravi, Saeid Nahavandi
Confidence Aware Neural Networks for Skin Cancer Detection. CoRR (2021)
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 (2021)
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 (2020)
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 (2020)