Seyed Ali Rokni

According to our database, Seyed Ali Rokni authored at least 13 papers between 2015 and 2021.

Collaborative distances:

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

2021

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

Seyed Ali Rokni, Marjan Nourollahi, Parastoo Alinia, Seyed-Iman Mirzadeh, Mahdi Pedram, Hassan Ghasemzadeh

ACM Trans. Design Autom. Electr. Syst., 2021

2020

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

Marjan Nourollahi, Seyed Ali Rokni, Hassan Ghasemzadeh

CoRR, 2020

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

Marjan Nourollahi, Seyed Ali Rokni, Parastoo Alinia, Hassan Ghasemzadeh

Proceedings of the WearSys@MobiSys 2020: Proceedings of the 6th ACM Workshop on Wearable Systems and Applications, 2020

2019

Share-n-Learn: A Framework for Sharing Activity Recognition Models in Wearable Systems With Context-Varying Sensors.

Seyed Ali Rokni, Hassan Ghasemzadeh

ACM Trans. Design Autom. Electr. Syst., 2019

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

Mahdi Pedram, Seyed Ali Rokni, Marjan Nourollahi, Houman Homayoun, Hassan Ghasemzadeh

Proceedings of the 16th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2019

2018

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

Seyed Ali Rokni, Hassan Ghasemzadeh

IEEE Trans. Mob. Comput., 2018

Personalized Human Activity Recognition Using Convolutional Neural Networks.

Seyed Ali Rokni, Marjan Nourollahi, Hassan Ghasemzadeh

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Synchronous dynamic view learning: a framework for autonomous training of activity recognition models using wearable sensors.

Seyed Ali Rokni, Hassan Ghasemzadeh

Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017

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

Mahdi Pedram, Seyed Ali Rokni, Ramin Fallahzadeh, Hassan Ghasemzadeh

Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017

2016

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

Parastoo Alinia, Ramyar Saeedi, Ramin Fallahzadeh, Seyed Ali Rokni, Hassan Ghasemzadeh

IEEE J. Sel. Top. Signal Process., 2016

Autonomous sensor-context learning in dynamic human-centered internet-of-things environments.

Seyed Ali Rokni, Hassan Ghasemzadeh

Proceedings of the 35th International Conference on Computer-Aided Design, 2016

Plug-n-learn: automatic learning of computational algorithms in human-centered internet-of-things applications.

Seyed Ali Rokni, Hassan Ghasemzadeh

Proceedings of the 53rd Annual Design Automation Conference, 2016

2015

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

Parastoo Alinia, Ramyar Saeedi, Bobak Mortazavi, Seyed Ali Rokni, Hassan Ghasemzadeh

Proceedings of the 12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2015