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2020 – today
- 2022
[b1]Gamze Uslu:
Human action recognition in ambient assisted living usingcontinuous inertial data (Ortam destekli yaşam için kesintisiz atalet verisi kullanarak insan aktivitelerinin tanınması). Yeditepe University, Turkey, 2022- [j3]Gamze Uslu
, Sebnem Baydere:
A Segmentation Scheme for Knowledge Discovery in Human Activity Spotting. IEEE Trans. Cybern. 52(7): 5668-5681 (2022) - [p1]Gamze Uslu, Berk Unal, Aylin Aydin, Sebnem Baydere:
One-Class Classification Approach in Accelerometer-Based Remote Monitoring of Physical Activities for Healthcare Applications. Integrating Artificial Intelligence and IoT for Advanced Health Informatics 2022: 9-23 - 2020
- [c6]Gamze Uslu, Sebnem Baydere, Ata Tekin, Feryal Subasi:
Accelerometer based classification of elbow flexion and extension exercises. BIBM 2020: 2657-2663
2010 – 2019
- 2016
- [c5]Gamze Uslu, Sebnem Baydere:
On the activity detection with incomplete acceleration data using iterative KNN classifier. SMC 2016: 3528-3533 - 2015
- [j2]Gamze Uslu, Sebnem Baydere:
RAM: Real Time Activity Monitoring with feature extractive training. Expert Syst. Appl. 42(21): 8052-8063 (2015) - [c4]Kemal Serdaroglu, Gamze Uslu, Sebnem Baydere:
Medication intake adherence with real time activity recognition on IoT. WiMob 2015: 230-237 - 2014
- [c3]Gurhan Kucuk, Gamze Uslu, Cagri Yesil:
History-Based Predictive Instruction Window Weighting for SMT Processors. ISC 2014: 187-198 - 2013
- [j1]Gamze Uslu, Kemal Cagri Serdaroglu, Sebnem Baydere:
DS+: Reliable Distributed Snapshot Algorithm for Wireless Sensor Networks. J. Comput. Networks Commun. 2013: 970597:1-970597:9 (2013) - [c2]Gamze Uslu, Sebnem Baydere:
Support Vector Machine based activity detection. SIU 2013: 1-4 - 2011
- [c1]Gamze Uslu, Ozgur Altun, Sebnem Baydere:
A Bayesian approach for indoor human activity monitoring. HIS 2011: 324-327
Coauthor Index
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