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ORCIDSeyed Ali Rokni
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2020 – today
- 2021
[j4]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): 5:1-5:31 (2021)- 2020
- [c8]Marjan Nourollahi, Seyed Ali Rokni, Parastoo Alinia, Hassan Ghasemzadeh:
Proximity-based active learning for eating moment recognition in wearable systems. WearSys@MobiSys 2020: 7-12 - [i3]Marjan Nourollahi, Seyed Ali Rokni, Hassan Ghasemzadeh:
Proximity-Based Active Learning on Streaming Data: A Personalized Eating Moment Recognition. CoRR abs/2003.13098 (2020)
2010 – 2019
- 2019
- [j3]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): 39:1-39:27 (2019) - [c7]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: 1-4 - [i2]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 abs/1907.03250 (2019) - 2018
- [j2]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): 1764-1777 (2018) - [c6]Seyed Ali Rokni, Marjan Nourollahi, Hassan Ghasemzadeh:
Personalized Human Activity Recognition Using Convolutional Neural Networks. AAAI 2018: 8143-8144 - [i1]Seyed Ali Rokni, Marjan Nourollahi, Hassan Ghasemzadeh:
Personalized Human Activity Recognition Using Convolutional Neural Networks. CoRR abs/1801.08252 (2018) - 2017
- [c5]Seyed Ali Rokni, Hassan Ghasemzadeh:
Synchronous dynamic view learning: a framework for autonomous training of activity recognition models using wearable sensors. IPSN 2017: 79-90 - [c4]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: 313-314 - 2016
- [j1]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): 842-853 (2016) - [c3]Seyed Ali Rokni, Hassan Ghasemzadeh:
Plug-n-learn: automatic learning of computational algorithms in human-centered internet-of-things applications. DAC 2016: 139:1-139:6 - [c2]Seyed Ali Rokni, Hassan Ghasemzadeh:
Autonomous sensor-context learning in dynamic human-centered internet-of-things environments. ICCAD 2016: 75 - 2015
- [c1]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: 1-6
Coauthor Index
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