Ranasinghe, Damith C.

Februus: Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems

Doan, B. G., Abbasnejad, E., & Ranasinghe, D. C. (2020) · Annual Computer Security Applications Conference

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 263

Smart steel: new paradigms for the reuse of steel enabled by digital tracking and modelling

Ness, D., Swift, J., Ranasinghe, D. C., Xing, K., & Soebarto, V. (2015) · Journal of Cleaner Production

BIM and Construction IntegrationSustainable Supply Chain Management

Cited by 113

Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors

Abedin, A., Ehsanpour, M., Shi, Q., Rezatofighi, H., & Ranasinghe, D. C. (2021) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 107

Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables

Varamin, A. A., Abbasnejad, E., Shi, Q., Ranasinghe, D. C., & Rezatofighi, H. (2018) · Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 44

Towards deep clustering of human activities from wearables

Abedin, A., Motlagh, F., Shi, Q., Rezatofighi, H., & Ranasinghe, D. (2020) · Proceedings of the 2020 International Symposium on Wearable Computers

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 27