Abstract: We study the robustness against adversarial examples of kNN classifiers and classifiers that combine kNN with neural networks. The main difficulty lies in the fact that finding an optimal ...
1 Guangzhou Power Supply Bureau of Guangdong Power Grid Co. Ltd., Guangzhou, Guangdong, China 2 Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China Introduction: ...
ABSTRACT: In order to reduce the risk of non-performing loans, losses, and improve the loan approval efficiency, it is necessary to establish an intelligent loan risk and approval prediction system. A ...
Background: Speech analysis has been expected to help as a screening tool for early detection of Alzheimer’s disease (AD) and mild-cognitively impairment (MCI). Acoustic features and linguistic ...
Early stroke prediction is vital to prevent damage. A stroke happens when the blood flow to the brain is disrupted by a clot or bleeding, resulting in brain death or injury. However, early diagnosis ...
Abstract: k-Nearest Neighbor (k-NN) is very simple and powerful approach to conceptually approximate real-valued or discrete-valued target function. Many researchers have recently approved that k-NN ...
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