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Designing multi-agent unit tests using systematic test design patterns-(extended version)., and . Eng. Appl. Artif. Intell., 26 (9): 2128-2142 (2013)Adaptive multi-objective reinforcement learning with hybrid exploration for traffic signal control based on cooperative multi-agent framework., and . Eng. Appl. Artif. Intell., (2014)Arab reactions towards Russo-Ukrainian war., , , , , and . EPJ Data Sci., 12 (1): 36 (December 2023)Machine Learning for Fast and Reliable Source-Location Estimation in Earthquake Early Warning., , , , , , , , , and . IEEE Geosci. Remote. Sens. Lett., (2022)Camera Coach: Activity Recognition and Assessment Using Thermal and RGB Videos., , , , , and . IJCNN, page 1-8. IEEE, (2023)Comparative assessment of machine-learning scoring functions on PDBbind 2013., and . Eng. Appl. Artif. Intell., (2015)A perspective on human activity recognition from inertial motion data., and . Neural Comput. Appl., 35 (28): 20463-20568 (October 2023)Deep learning is competing random forest in computational docking., , and . CoRR, (2016)Multi-objective traffic light control system based on Bayesian probability interpretation., , and . ITSC, page 995-1000. IEEE, (2012)Enhanced Multiagent Multi-objective Reinforcement Learning for Urban Traffic Light Control., and . ICMLA (1), page 586-591. IEEE, (2012)