A rapid learning algorithm for vehicle classification

By Xuezhi Wen, Ling Shao, Yu Xue, Wei-Li Fang. Information Sciences, 2015

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Machine Learning as an Adversarial Service: Learning Black-Box Adversarial Examples (2017, background): “Machine Learning models are increasingly relied upon for safety and business critical tasks such as in medicine [24], [31], [40], robotics and automotive [29], [33], [38], security [2], [16], [37] and financial [12], [17], [35] applications.”
A novel collaborative optimization algorithm in solving complex optimization problems (2016, background): “], swarm intelligence optimization algorithms (Garnier et al. 2007; Wen et al. 2015) [ant colony optimiza-”
Learning Universal Adversarial Perturbations with Generative Models (2017, background): “Machine Learning models are increasingly relied upon for safety and business critical tasks such as in medicine [23], [29], [39], robotics and automotive [27], [31], [38], security [2], [17], [36] and ﬁnancial [13], [18], [34] applications.”
Firefly algorithm with neighborhood attraction (2017, background): “Classification is an important research area in machine learning [28, 42].”