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 ...
Abstract: This research work aims at developing Alzheimer’s disease detection and classification using KNN classifiers. This study involves two groups and they are Weighted KNN (N=30) classifiers and ...
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: ...
Banks are important for the development of economies in any financial ecosystem through consumer and business loans. Lending, however, presents risks; thus, banks have to determine the applicant’s ...
pr <- knn(dia_train,dia_test,cl=dia_target,k=20) ...
### (12 points) Consider the training and test data posted on eLearning in the files 1-tranining-data.csv and 1-test-data.csv, respectively, for a classification problem with two classes. # The ...
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 ...
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