Babak Moatamed

According to our database, Babak Moatamed authored at least 8 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Statistical Analytics and Regional Representation Learning for COVID-19 Pandemic Understanding.

Shayan Fazeli, Babak Moatamed, Majid Sarrafzadeh

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

2020

Optimization of Reservoir Adaptation for Multivariate Time Series Classification.

Babak Moatamed

PhD thesis, 2020

2019

Dynamic Feature Acquisition Using Denoising Autoencoders.

Mohammad Kachuee, Sajad Darabi, Babak Moatamed, Majid Sarrafzadeh

IEEE Trans. Neural Networks Learn. Syst., 2019

2017

An Active Learning Based Prediction of Epidural Stimulation Outcome in Spinal Cord Injury Patients Using Dynamic Sample Weighting.

Mohammad Kachuee, Lisa D. Moore, Tali Homsey, Hamidreza Ghasemi Damavandi, Babak Moatamed, Anahita Hosseini, Ruyi Huang, James Leiter, Daniel C. Lu, Majid Sarrafzadeh

Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Context-aware feature query to improve the prediction performance.

Mohammad Kachuee, Anahita Hosseini, Babak Moatamed, Sajad Darabi, Majid Sarrafzadeh

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016

A wearable sensor system for medication adherence prediction.

Haik Kalantarian, Babak Moatamed, Nabil Alshurafa, Majid Sarrafzadeh

Artif. Intell. Medicine, 2016

Gait velocity estimation for a smartwatch platform using Kalman filter peak recovery.

Ebrahim Nemati, Young Soo Suh, Babak Moatamed, Majid Sarrafzadeh

Proceedings of the 13th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2016

Low-cost indoor health monitoring system.

Babak Moatamed, Arjun, Farhad Shahmohammadi, Ramin Ramezani, Arash Naeim, Majid Sarrafzadeh

Proceedings of the 13th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2016