- Danny Weyns, Omid Gheibi, Federico Quin, M. Jeroen Van Der Donckt. Deep Learning for Effective and Efficient Reduction of Large Adaptation Spaces in Self-adaptive Systems. TAAS, 17, 2022.
- Hussain M. J. Almohri, Layne T. Watson, David Evans 0001, Stephen C. Billups. Dynamic System Diversification for Securing Cloud-based IoT Subnetworks. TAAS, 17, 2022.
- Mehdi Mashayekhi, Nirav Ajmeri, George F. List, Munindar P. Singh. Prosocial Norm Emergence in Multi-agent Systems. TAAS, 17, 2022.
- Danilo Pianini, Federico Pettinari, Roberto Casadei, Lukas Esterle. A Collective Adaptive Approach to Decentralised k-Coverage in Multi-robot Systems. TAAS, 17, 2022.
- Shlomi Maliah, Radimir Komarnitsky, Guy Shani. Computing Contingent Plan Graphs using Online Planning. TAAS, 16(1), 2021.
- Sudip Misra, Tamoghna Ojha, P. Madhusoodhanan. SecRET: Secure Range-based Localization with Evidence Theory for Underwater Sensor Networks. TAAS, 15(1), 2021.
- Sara Hassan, Rami Bahsoon, Leandro L. Minku, Nour Ali. Dynamic Evaluation of Microservice Granularity Adaptation. TAAS, 16(2), 2021.
- Michael Austin Langford, Betty H. C. Cheng. Enki: A Diversity-driven Approach to Test and Train Robust Learning-enabled Systems. TAAS, 15(2), 2021.
- Lukas Esterle, David W. King. Loosening Control - A Hybrid Approach to Controlling Heterogeneous Swarms. TAAS, 16(2), 2021.
- Changxi Zhu, Ho-Fung Leung, Shuyue Hu, Yi Cai. A Q-values Sharing Framework for Multi-agent Reinforcement Learning under Budget Constraint. TAAS, 15(2), 2021.