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Seyed Ali Rokni
Seyed Ali Rokni
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Bestätigte E-Mail-Adresse bei eecs.wsu.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Personalized Human Activity Recognition Using Convolutional Neural Networks
SA Rokni, M Nourollahi, H Ghasemzadeh
AAAI 2018, 2018
972018
Autonomous Training of Activity Recognition Algorithms in Mobile Sensors: A Transfer Learning Approach in Context-Invariant Views
SA Rokni, H Ghasemzadeh
IEEE Transaction of Mobile Computing, 2018
532018
Digital health for geriatric oncology
R Fallahzadeh, SA Rokni, H Ghasemzadeh, E Soto-Perez-de-Celis, ...
JCO clinical cancer informatics 2, 1-12, 2018
472018
Synchronous dynamic view learning: a framework for autonomous training of activity recognition models using wearable sensors
SA Rokni, H Ghasemzadeh
Proceedings of the 16th ACM/IEEE international conference on information …, 2017
442017
Plug-n-learn: automatic learning of computational algorithms in human-centered internet-of-things applications
SA Rokni, H Ghasemzadeh
Proceedings of the 53rd Annual Design Automation Conference, 1-6, 2016
412016
Semi-supervised learning for named entity recognition using weakly labeled training data
A Zafarian, A Rokni, S Khadivi, S Ghiasifard
2015 the international symposium on artificial intelligence and signal …, 2015
312015
A reliable and reconfigurable signal processing framework for estimation of metabolic equivalent of task in wearable sensors
P Alinia, R Saeedi, R Fallahzadeh, A Rokni, H Ghasemzadeh
IEEE Journal of Selected Topics in Signal Processing 10 (5), 842-853, 2016
302016
Impact of sensor misplacement on estimating metabolic equivalent of task with wearables
P Alinia, R Saeedi, B Mortazavi, A Rokni, H Ghasemzadeh
2015 IEEE 12th International Conference on Wearable and Implantable Body …, 2015
242015
Autonomous sensor-context learning in dynamic human-centered internet-of-things environments
SA Rokni, H Ghasemzadeh
Proceedings of the 35th International Conference on Computer-Aided Design, 1-6, 2016
232016
Gait speed and survival of older surgical patient with cancer: prediction after machine learning
K Sasani, HN Catanese, A Ghods, SA Rokni, H Ghasemzadeh, ...
Journal of geriatric oncology 10 (1), 120-125, 2019
202019
Smart medication management, current technologies, and future directions
SA Rokni, H Ghasemzadeh, N Hezarjaribi
Handbook of Research on Healthcare Administration and Management, 188-204, 2017
112017
TransNet: minimally supervised deep transfer learning for dynamic adaptation of wearable systems
SA Rokni, M Nourollahi, P Alinia, I Mirzadeh, M Pedram, H Ghasemzadeh
ACM Transactions on Design Automation of Electronic Systems (TODAES) 26 (1 …, 2020
92020
A beverage intake tracking system based on machine learning algorithms, and ultrasonic and color sensors
M Pedram, SA Rokni, R Fallahzadeh, H Ghasemzadeh
Proceedings of the 16th ACM/IEEE International Conference on Information …, 2017
72017
Digital health for geriatric oncology. JCO Clin Cancer Inform 2018; 2: 1–12
R Fallahzadeh, SA Rokni, H Ghasemzadeh, E Soto-Perez-de-Celis, ...
7
Share-n-learn: A framework for sharing activity recognition models in wearable systems with context-varying sensors
SA Rokni, H Ghasemzadeh
ACM Transactions on Design Automation of Electronic Systems (TODAES) 24 (4 …, 2019
52019
LIDS: mobile system to monitor type and volume of liquid intake
M Pedram, SI Mirzadeh, SA Rokni, R Fallahzadeh, DMK Woodbridge, ...
IEEE Sensors Journal 21 (18), 20750-20763, 2021
42021
Resource-efficient wearable computing for real-time reconfigurable machine learning: A cascading binary classification
M Pedram, SA Rokni, M Nourollahi, H Homayoun, H Ghasemzadeh
2019 IEEE 16th International Conference on Wearable and Implantable Body …, 2019
42019
Impact of on-body sensor localization on met calculation using wearables
P Alinia, R Saeedi, A Rokni, B Mortazavi, H Ghasemzadeh
Body Sensor Networks (BSN), 2015 IEEE International Conference on, 2015
42015
Proximity-based active learning for eating moment recognition in wearable systems
M Nourollahi, SA Rokni, P Alinia, H Ghasemzadeh
Proceedings of the 6th ACM Workshop on Wearable Systems and Applications, 7-12, 2020
22020
Machine learning algorithm for predicting longer postoperative length of stay among older cancer patients.
A Shahrokni, SA Rokni, H Ghasemzadeh
Journal of Clinical Oncology 35 (15_suppl), e21536-e21536, 2017
22017
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