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 ...
Gene expression is the process through which genetic information in DNA is converted into functional products, primarily proteins. This involves two main steps: transcription, where DNA is copied into ...
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 ...
As one of the most important posttranslational modifications (PTMs), protein lysine glycation changes the characteristics of the proteins and leads to the dysfunction of the proteins, which may cause ...
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