Seyed Ali Rokni

16 papers A* 2A 1C 2Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2021 J jnl
TransNet: Minimally Supervised Deep Transfer Learning for Dynamic Adaptation of Wearable Systems.
ACM Trans. Design Autom. Electr. Syst.
Seyed Ali Rokni, Marjan Nourollahi, Parastoo Alinia, Seyed-Iman Mirzadeh, Mahdi Pedram, Hassan Ghasemzadeh
2020 J jnl
Proximity-Based Active Learning on Streaming Data: A Personalized Eating Moment Recognition.
CoRR
Marjan Nourollahi, Seyed Ali Rokni, Hassan Ghasemzadeh
2020 — conf
Proximity-based active learning for eating moment recognition in wearable systems.
WearSys@MobiSys
Marjan Nourollahi, Seyed Ali Rokni, Parastoo Alinia, Hassan Ghasemzadeh
2019 C conf
Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification.
BSN
Mahdi Pedram, Seyed Ali Rokni, Marjan Nourollahi, Houman Homayoun, Hassan Ghasemzadeh
2019 J jnl
Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification.
CoRR
Mahdi Pedram, Seyed Ali Rokni, Marjan Nourollahi, Houman Homayoun, Hassan Ghasemzadeh
2019 J jnl
Share-n-Learn: A Framework for Sharing Activity Recognition Models in Wearable Systems With Context-Varying Sensors.
ACM Trans. Design Autom. Electr. Syst.
Seyed Ali Rokni, Hassan Ghasemzadeh
2018 J jnl
Autonomous Training of Activity Recognition Algorithms in Mobile Sensors: A Transfer Learning Approach in Context-Invariant Views.
IEEE Trans. Mob. Comput.
Seyed Ali Rokni, Hassan Ghasemzadeh
2018 — —
Dynamic Adaptation of Recognition Algorithms on Wearables with Minimal Human Supervision.
Seyed Ali Rokni
2018 A* conf
Personalized Human Activity Recognition Using Convolutional Neural Networks.
AAAI
Seyed Ali Rokni, Marjan Nourollahi, Hassan Ghasemzadeh
2018 J jnl
Personalized Human Activity Recognition Using Convolutional Neural Networks.
CoRR
Seyed Ali Rokni, Marjan Nourollahi, Hassan Ghasemzadeh
2017 — conf
A beverage intake tracking system based on machine learning algorithms, and ultrasonic and color sensors: poster abstract.
IPSN
Mahdi Pedram, Seyed Ali Rokni, Ramin Fallahzadeh, Hassan Ghasemzadeh
2017 — conf
Synchronous dynamic view learning: a framework for autonomous training of activity recognition models using wearable sensors.
IPSN
Seyed Ali Rokni, Hassan Ghasemzadeh
2016 J jnl
A Reliable and Reconfigurable Signal Processing Framework for Estimation of Metabolic Equivalent of Task in Wearable Sensors.
IEEE J. Sel. Top. Signal Process.
Parastoo Alinia, Ramyar Saeedi, Ramin Fallahzadeh, Seyed Ali Rokni, Hassan Ghasemzadeh
2016 A conf
Autonomous sensor-context learning in dynamic human-centered internet-of-things environments.
ICCAD
Seyed Ali Rokni, Hassan Ghasemzadeh
2016 A* conf
Plug-n-learn: automatic learning of computational algorithms in human-centered internet-of-things applications.
DAC
Seyed Ali Rokni, Hassan Ghasemzadeh
2015 C conf
Impact of sensor misplacement on estimating metabolic equivalent of task with wearables.
BSN
Parastoo Alinia, Ramyar Saeedi, Bobak Mortazavi, Seyed Ali Rokni, Hassan Ghasemzadeh