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- Mehran Alidoost Nia, Radu Calinescu, Mehdi Kargahi, Alessandro Abate. Efficient Model Verification at Runtime through Adaptive Dynamic Approximation. TAAS, 20(1), March 2025.
- Linfeng Wen 0001, Minxian Xu, Sukhpal Singh Gill, Muhammad Hafizhuddin Hilman, Satish Narayana Srirama, Kejiang Ye, Chengzhong Xu 0001. StatuScale: Status-aware and Elastic Scaling Strategy for Microservice Applications. TAAS, 20(1), March 2025.
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- Wang Bobo, Hongwei Yang, Meng Hao 0002, Jiannan Zhang, Hui He, Weizhe Zhang. SEPPDL: A Secure and Efficient Privacy-Preserving Deep Learning Inference Framework for Autonomous Driving. TAAS, 20(1), March 2025.
- Jia Li, Shiva Nejati, Mehrdad Sabetzadeh. Using Genetic Programming to Build Self-Adaptivity into Software-Defined Networks. TAAS, 19(1), March 2024.
- Fatma Faruq, Bruno Lacerda, Nick Hawes, David Parker 0001. A Framework for Simultaneous Task Allocation and Planning under Uncertainty. TAAS, 19(4), December 2024.
- Olufogorehan Tunde-Onadele, Yuhang Lin, Xiaohui Gu, Jingzhu He, Hugo Latapie. Self-Supervised Machine Learning Framework for Online Container Security Attack Detection. TAAS, 19(3), September 2024.