- Nanda Rani
, Bikash Saha, Vikas Maurya, Sandeep Kumar Shukla:
TTPHunter: Automated Extraction of Actionable Intelligence as TTPs from Narrative Threat Reports. ACSW 2023: 126-134 - Fariza Sabrina, Tony Sahama, Md. Mamunur Rashid, Steven Gordon:
Empowering Patients to Delegate and Revoke Access to Blockchain-based Electronic Health Records. ACSW 2023: 66-71 - Nicola Shaw, Kevin Vinsen:
Improving the social inclusion of people with disabilities in the remote workplace: Digital assistive technologies. ACSW 2023: 255-256 - Alex Shaw, Burkhard Claus Wünsche, Christof Lutteroth, Jude Buckley, Paul M. Corballis:
Exercise Speed Analysis Based on Head Mounted Display Orientation. ACSW 2023: 176-182 - Jacob Soper, Yue Xu, Kien Nguyen, Ernest Foo, Zahra Jadidi:
A two-pass approach for minimising error in synthetically generated network traffic data sets. ACSW 2023: 18-27 - Leilei Xu, Xiao Liu, Frank Jiang, Yi Xu, Aiting Yao, Jia Xu, Xuejun Li:
Multi-Featured Anomaly Detection for Mobile Edge Computing Based UAV Delivery Systems. ACSW 2023: 58-65 - Yuqi Zhang, Jian Yu, Ji Ruan, Nancy Wang, Sam Madanian, Guiling Wang:
Motif-based Graph Attention Network for Web Service Recommendation. ACSW 2023: 143-146 - Fangyu Zhou, Shahadat Uddin:
Mining adverse drug events from patients' disease histories via a GNN-based subgraph prediction method. ACSW 2023: 227-230 - Fangyu Zhou, Shahadat Uddin:
How could a weighted drug-drug network help improve adverse drug reaction predictions? Machine learning reveals the importance of edge weights. ACSW 2023: 231-233 - Proceedings of the 2023 Australasian Computer Science Week, ACSW 2023, Melbourne, VIC, Australia, 30 January 2023- 3 February 2023. ACM 2023, ISBN 979-8-4007-0005-7 [contents]
