In-Young Ko, Ph.D.

2003 University of Southern California, Los Angeles, CA, United States 
Computer Science
"In-Young Ko"


Sign in to add mentor
Roberta Neches grad student 2003 USC
 (Exploring, understanding and recording analysis steps in information-management applications.)
BETA: Related publications


You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Ko I, Baek K, Kwon J, et al. (2020) A Human-centric and Environment-aware Testing Framework for Providing Safe and Reliable Cyber-Physical System Services Journal of Web Engineering. 19
Kim M, Kwon J, Jo H, et al. (2020) Lightweight Messaging for Efficient Service Discovery in Mobile IoT Environments Using Hierarchical Bloom Filters Journal of Web Engineering. 19
Kim SH, Ko I. (2018) How Do Multilevel Privacy Controls Affect Utility-privacy Trade-offs When Used in Mobile Applications? Etri Journal. 40: 813-823
Ko H, Ko I, Lee D. (2018) Multi-criteria matrix localization and integration for personalized collaborative filtering in IoT environments Multimedia Tools and Applications. 77: 4697-4730
Kim S, Ko I, Kim S. (2017) Quality of Private Information (QoPI) model for effective representation and prediction of privacy controls in mobile computing Computers & Security. 66: 1-19
Ko I, Ko H, Molina AJ, et al. (2016) SoIoT: Toward A User-Centric IoT-Based Service Framework Acm Transactions On Internet Technology. 16: 8
Cho J, Ko H, Ko I. (2016) Adaptive Service Selection According to the Service Density in Multiple Qos Aspects Ieee Transactions On Services Computing. 9: 883-894
Heufemann PL, Villegas JG, Ko I. (2013) Web Usage Based Adaptive Systems Studies in Computational Intelligence. 452: 127-148
Park Y, Koo H, Ko I. (2012) A task-based and resource-aware approach to dynamically generate optimal software architecture for intelligent service robots Software - Practice and Experience. 42: 519-541
Jimenez-Molina A, Ko I. (2011) Spontaneous task composition in urban computing environments based on social, spatial, and temporal aspects Engineering Applications of Artificial Intelligence. 24: 1446-1460
See more...