Ramin Fallahzadeh
Orcid: 0000-0001-9966-850X
According to our database1,
Ramin Fallahzadeh authored at least 25 papers
between 2015 and 2023.
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Bibliography
2023
IEEE Trans. Mob. Comput., 2023
Large-scale correlation network construction for unraveling the coordination of complex biological systems.
Nat. Comput. Sci., 2023
Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition.
CoRR, 2023
2022
Patterns, 2022
2020
Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions.
Nat. Mach. Intell., 2020
2019
Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition.
IEEE Trans. Mob. Comput., 2019
2018
Computational Algorithms for Improving Energy Efficiency and reliability in Wearables.
PhD thesis, 2018
Trading Off Power Consumption and Prediction Performance in Wearable Motion Sensors: An Optimal and Real-Time Approach.
ACM Trans. Design Autom. Electr. Syst., 2018
2017
Context-Aware System Design for Remote Health Monitoring: An Application to Continuous Edema Assessment.
IEEE Trans. Mob. Comput., 2017
A beverage intake tracking system based on machine learning algorithms, and ultrasonic and color sensors: poster abstract.
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
Personalization without user interruption: boosting activity recognition in new subjects using unlabeled data.
Proceedings of the 8th International Conference on Cyber-Physical Systems, 2017
Learn-on-the-go: Autonomous cross-subject context learning for internet-of-things applications.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017
An optimal approach for low-power migraine prediction models in the state-of-the-art wireless monitoring devices.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017
Adaptive compressed sensing at the fingertip of Internet-of-Things sensors: An ultra-low power activity recognition.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017
2016
A Hardware-Assisted Energy-Efficient Processing Model for Activity Recognition Using Wearables.
ACM Trans. Design Autom. Electr. Syst., 2016
A Reliable and Reconfigurable Signal Processing Framework for Estimation of Metabolic Equivalent of Task in Wearable Sensors.
IEEE J. Sel. Top. Signal Process., 2016
An Energy-Efficient Computational Model for Uncertainty Management in Dynamically Changing Networked Wearables.
Proceedings of the 2016 International Symposium on Low Power Electronics and Design, 2016
CyHOP: A generic framework for real-time power-performance optimization in networked wearable motion sensors.
Proceedings of the 34th IEEE International Conference on Computer Design, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
A machine learning approach for medication adherence monitoring using body-worn sensors.
Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016
2015
Smart-Cuff: A wearable bio-sensing platform with activity-sensitive information quality assessment for monitoring ankle edema.
Proceedings of the 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, 2015
Proceedings of the 12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2015