Seyed Ali Rokni

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Proximity-Based Active Learning on Streaming Data: A Personalized Eating Moment Recognition pdf

Hassan Ghasemzadeh, Marjan Nourollahi, Seyed Ali Rokni, 2020, ArXiv.

Hassan Ghasemzadeh, Seyed Ali Rokni, Hassan Ghasemzadeh, 2019, ACM Trans. Design Autom. Electr. Syst..

Autonomous collaborative learning in wearable IoT applications

Hassan Ghasemzadeh, Ramin Fallahzadeh, Seyed Ali Rokni, 2019 .

Synchronous Dynamic View Learning: A Framework for Autonomous Training of Activity Recognition Models Using Wearable Sensors

Hassan Ghasemzadeh, Seyed Ali Rokni, Hassan Ghasemzadeh, 2017, 2017 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).

Autonomous sensor-context learning in dynamic human-centered Internet-of-Things environments

Hassan Ghasemzadeh, Seyed Ali Rokni, Hassan Ghasemzadeh, 2016, 2016 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

Poster Abstract: A Beverage Intake Tracking System Based on Machine Learning Algorithms, and Ultrasonic and Color Sensors

Hassan Ghasemzadeh, Ramin Fallahzadeh, Mahdi Pedram, 2017, 2017 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).

Impact of sensor misplacement on estimating metabolic equivalent of task with wearables

Hassan Ghasemzadeh, Bobak Mortazavi, Seyed Ali Rokni, 2015, 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN).

Autonomous Training of Activity Recognition Algorithms in Mobile Sensors: A Transfer Learning Approach in Context-Invariant Views

Hassan Ghasemzadeh, Seyed Ali Rokni, Hassan Ghasemzadeh, 2018, IEEE Transactions on Mobile Computing.

A Reliable and Reconfigurable Signal Processing Framework for Estimation of Metabolic Equivalent of Task in Wearable Sensors

Hassan Ghasemzadeh, Ramin Fallahzadeh, Seyed Ali Rokni, 2016, IEEE Journal of Selected Topics in Signal Processing.

Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification

Hassan Ghasemzadeh, Houman Homayoun, Mahdi Pedram, 2019, 2019 IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN).

TransNet: Minimally Supervised Deep Transfer Learning for Dynamic Adaptation of Wearable Systems

Mahdi Pedram, Marjan Nourollahi, Seyed Ali Rokni, 2020, ACM Trans. Design Autom. Electr. Syst..

Plug-n-learn: Automatic learning of computational algorithms in human-centered Internet-of-Things applications

Hassan Ghasemzadeh, Seyed Ali Rokni, Hassan Ghasemzadeh, 2016, 2016 53nd ACM/EDAC/IEEE Design Automation Conference (DAC).

A beverage intake tracking system based on machine learning algorithms, and ultrasonic and color sensors: poster abstract

Hassan Ghasemzadeh, Ramin Fallahzadeh, Mahdi Pedram, 2017, IPSN.

Proximity-based active learning for eating moment recognition in wearable systems

Hassan Ghasemzadeh, Marjan Nourollahi, Seyed Ali Rokni, 2020, WearSys@MobiSys.

Personalized Human Activity Recognition Using Convolutional Neural Networks pdf

Hassan Ghasemzadeh, Marjan Nourollahi, Seyed Ali Rokni, 2018, AAAI.

Smart Medication Management, Current Technologies, and Future Directions

Hassan Ghasemzadeh, Seyed Ali Rokni, Niloofar Hezarjaribi, 2017 .

Gait speed and survival of older surgical patient with cancer: Prediction after machine learning.

Hassan Ghasemzadeh, Seyed Ali Rokni, Keyvan Sasani, 2019, Journal of geriatric oncology.

Probabilistic Cascading Classifier for Energy-Efficient Activity Monitoring in Wearables

Seyed Ali Rokni, Ramesh Kumar Sah, H. Ghasemzadeh, 2022, IEEE Sensors Journal.

Digital Health for Geriatric Oncology.

Seyed Ali Rokni, Hassan Ghasemzadeh, Ramin Fallahzadeh, 2018, JCO clinical cancer informatics.

Share-n-Learn

Seyed Ali Rokni, Hassan Ghasemzadeh, 2019, ACM Trans. Design Autom. Electr. Syst..