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Seyed Iman Mirzadeh

Showing results (1-10 of 5) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Designing Deep Neural Networks Robust to Sensor Failure in Mobile Health EnvironmentsAbdullah Mamun, Seyed Iman Mirzadeh, Hassan Ghasemzadeh
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Continual Learning for Activity RecognitionRamesh Kumar Sah, Seyed Iman Mirzadeh, Hassan Ghasemzadeh
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Boosting Lying Posture Classification with Transfer LearningParastoo Alinia, Saman Parvaneh, Seyed-Iman Mirzadeh, et al.
Sensors (Basel, Switzerland)|July 29, 2023
Model-Agnostic Structural Transfer Learning for Cross-Domain Autonomous Activity RecognitionParastoo Alinia, Asiful Arefeen, Zhila Esna Ashari, et al.
Smart Health (Amsterdam, Netherlands)|May 11, 2023
Use of machine learning to predict medication adherence in individuals at risk for atherosclerotic cardiovascular diseaseSeyed Iman Mirzadeh, Asiful Arefeen, Jessica Ardo, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Designing Deep Neural Networks Robust to Sensor Failure in Mobile Health EnvironmentsAbdullah Mamun, Seyed Iman Mirzadeh, Hassan Ghasemzadeh
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Continual Learning for Activity RecognitionRamesh Kumar Sah, Seyed Iman Mirzadeh, Hassan Ghasemzadeh
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Boosting Lying Posture Classification with Transfer LearningParastoo Alinia, Saman Parvaneh, Seyed-Iman Mirzadeh, et al.
Sensors (Basel, Switzerland)|July 29, 2023
Model-Agnostic Structural Transfer Learning for Cross-Domain Autonomous Activity RecognitionParastoo Alinia, Asiful Arefeen, Zhila Esna Ashari, et al.
Smart Health (Amsterdam, Netherlands)|May 11, 2023
Use of machine learning to predict medication adherence in individuals at risk for atherosclerotic cardiovascular diseaseSeyed Iman Mirzadeh, Asiful Arefeen, Jessica Ardo, et al.
Pageof 1