Seyed Ali Rokni

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 14

Top Topics

Activity Recognition

Wearable Sensors

Binary Classification

Top Venues

ACM Trans. Design Autom. Electr. Syst.

Publications

Seyed Ali Rokni, Marjan Nourollahi, Parastoo Alinia, Seyed-Iman Mirzadeh, Mahdi Pedram, Hassan Ghasemzadeh
TransNet: Minimally Supervised Deep Transfer Learning for Dynamic Adaptation of Wearable Systems. ACM Trans. Design Autom. Electr. Syst. 26 (1) (2021)
Marjan Nourollahi, Seyed Ali Rokni, Parastoo Alinia, Hassan Ghasemzadeh
Proximity-based active learning for eating moment recognition in wearable systems. WearSys@MobiSys (2020)
Marjan Nourollahi, Seyed Ali Rokni, Hassan Ghasemzadeh
Proximity-Based Active Learning on Streaming Data: A Personalized Eating Moment Recognition. CoRR (2020)
Mahdi Pedram, Seyed Ali Rokni, Marjan Nourollahi, Houman Homayoun, Hassan Ghasemzadeh
Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification. CoRR (2019)
Mahdi Pedram, Seyed Ali Rokni, Marjan Nourollahi, Houman Homayoun, Hassan Ghasemzadeh
Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification. BSN (2019)
Seyed Ali Rokni, Hassan Ghasemzadeh
Share-n-Learn: A Framework for Sharing Activity Recognition Models in Wearable Systems With Context-Varying Sensors. ACM Trans. Design Autom. Electr. Syst. 24 (4) (2019)
Seyed Ali Rokni, Marjan Nourollahi, Hassan Ghasemzadeh
Personalized Human Activity Recognition Using Convolutional Neural Networks. AAAI (2018)
Seyed Ali Rokni, Hassan Ghasemzadeh
Autonomous Training of Activity Recognition Algorithms in Mobile Sensors: A Transfer Learning Approach in Context-Invariant Views. IEEE Trans. Mob. Comput. 17 (8) (2018)
Seyed Ali Rokni, Marjan Nourollahi, Hassan Ghasemzadeh
Personalized Human Activity Recognition Using Convolutional Neural Networks. CoRR (2018)
Mahdi Pedram, Seyed Ali Rokni, Ramin Fallahzadeh, Hassan Ghasemzadeh
A beverage intake tracking system based on machine learning algorithms, and ultrasonic and color sensors: poster abstract. IPSN (2017)
Seyed Ali Rokni, Hassan Ghasemzadeh
Synchronous dynamic view learning: a framework for autonomous training of activity recognition models using wearable sensors. IPSN (2017)
Parastoo Alinia, Ramyar Saeedi, Ramin Fallahzadeh, Seyed Ali Rokni, Hassan Ghasemzadeh
A Reliable and Reconfigurable Signal Processing Framework for Estimation of Metabolic Equivalent of Task in Wearable Sensors. IEEE J. Sel. Top. Signal Process. 10 (5) (2016)
Seyed Ali Rokni, Hassan Ghasemzadeh
Plug-n-learn: automatic learning of computational algorithms in human-centered internet-of-things applications. DAC (2016)
Seyed Ali Rokni, Hassan Ghasemzadeh
Autonomous sensor-context learning in dynamic human-centered internet-of-things environments. ICCAD (2016)
Parastoo Alinia, Ramyar Saeedi, Bobak Mortazavi, Seyed Ali Rokni, Hassan Ghasemzadeh
Impact of sensor misplacement on estimating metabolic equivalent of task with wearables. BSN (2015)