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ORCIDRamyar Saeedi
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2020 – today
- 2021
[j5]Ramyar Saeedi
, K. Sadanandan Sajan, Anurag K. Srivastava, Kevin Davies, Assefaw H. Gebremedhin:
An Adaptive Machine Learning Framework for Behind-the-Meter Load/PV Disaggregation. IEEE Trans. Ind. Informatics 17(10): 7060-7069 (2021)- 2020
- [j4]Ramyar Saeedi, Keyvan Sasani, Assefaw H. Gebremedhin:
Collaborative Multi-Expert Active Learning for Mobile Health Monitoring: Architecture, Algorithms, and Evaluation. Sensors 20(7): 1932 (2020) - [j3]Ramyar Saeedi, Assefaw H. Gebremedhin:
A Signal-Level Transfer Learning Framework for Autonomous Reconfiguration of Wearable Systems. IEEE Trans. Mob. Comput. 19(3): 513-527 (2020) - [c15]Ramyar Saeedi, Malarvizhi Sankaranarayanasamy, Rahul Vishwakarma, Prasun Singh, Ravigopal Vennelakanti:
Towards Modular Modeling and Analytic for Multi-Modal Transportation Networks. IEEE BigData 2020: 2426-2432
2010 – 2019
- 2018
- [c14]Skyler Norgaard, Ramyar Saeedi, Keyvan Sasani, Assefaw H. Gebremedhin:
Synthetic Sensor Data Generation for Health Applications: A Supervised Deep Learning Approach. EMBC 2018: 1164-1167 - [c13]Ramyar Saeedi, Keyvan Sasani, Skyler Norgaard, Assefaw H. Gebremedhin:
Personalized Human Activity Recognition using Wearables: A Manifold Learning-based Knowledge Transfer. EMBC 2018: 1193-1196 - 2017
- [c12]Ramyar Saeedi, Keyvan Sasani, Assefaw Hadish Gebremedhin:
Co-MEAL: Cost-Optimal Multi-Expert Active Learning Architecture for Mobile Health Monitoring. BCB 2017: 432-441 - [c11]Ramyar Saeedi, Skyler Norgaard, Assefaw Hadish Gebremedhin:
A closed-loop deep learning architecture for robust activity recognition using wearable sensors. IEEE BigData 2017: 473-479 - 2016
- [j2]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) - [c10]Ramyar Saeedi, Hassan Ghasemzadeh, Assefaw Hadish Gebremedhin:
Transfer learning algorithms for autonomous reconfiguration of wearable systems. IEEE BigData 2016: 563-569 - [c9]Ramyar Saeedi, Ramin Fallahzadeh, Parastoo Alinia, Hassan Ghasemzadeh:
An Energy-Efficient Computational Model for Uncertainty Management in Dynamically Changing Networked Wearables. ISLPED 2016: 46-51 - 2015
- [j1]Hassan Ghasemzadeh, Navid Amini, Ramyar Saeedi, Majid Sarrafzadeh:
Power-Aware Computing in Wearable Sensor Networks: An Optimal Feature Selection. IEEE Trans. Mob. Comput. 14(4): 800-812 (2015) - [c8]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 - [c7]Kyle Doty, Sandip Roy, Dinuka Sahabandu, Ramyar Saeedi:
Explicit estimation-error-probability computation and sensor design for flag Hidden Markov Models. CISS 2015: 1-6 - [c6]Ramin Fallahzadeh, Mahdi Pedram, Ramyar Saeedi, Bahman Sadeghi, Michael K. Ong, Hassan Ghasemzadeh:
Smart-Cuff: A wearable bio-sensing platform with activity-sensitive information quality assessment for monitoring ankle edema. PerCom Workshops 2015: 57-62 - 2014
- [c5]Ramyar Saeedi, Navid Amini, Hassan Ghasemzadeh:
Patient-centric on-body sensor localization in smart health systems. ACSSC 2014: 2081-2085 - [c4]Ramyar Saeedi, Janet Purath, Krishna K. Venkatasubramanian, Hassan Ghasemzadeh:
Toward seamless wearable sensing: Automatic on-body sensor localization for physical activity monitoring. EMBC 2014: 5385-5388 - [c3]Ramyar Saeedi, Brian Schimert, Hassan Ghasemzadeh:
Cost-sensitive feature selection for on-body sensor localization. UbiComp Adjunct 2014: 833-842 - [c2]Christa Simon, Ramyar Saeedi, Chris Cain, Maureen Schmitter-Edgecombe, Shervin Hajiamini, Diane J. Cook:
Digital memory notebook: experimental evaluation of motivational reward strategies. UbiComp Adjunct 2014: 1201-1208 - 2010
- [c1]Mohammad Hashem Haghbayan, Alireza Yazdanpanah, Sara Karamati, Ramyar Saeedi, Zainalabedin Navabi:
Generating test patterns for sequential circuits using random patterns by PLI functions. EWDTS 2010: 456-461
Coauthor Index
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