Severe class imbalance: failures (pos) are ~1.7% of the data. Heavy missing values (the raw data uses na markers). Train / validation / test split — the training data is split 80/20 (stratified) ...
The package implements 86 variants of the Synthetic Minority Oversampling Technique (SMOTE). Besides the implementations, an easy to use model selection framework is supplied to enable the rapid ...
Root Mean Square Error,Convolutional Neural Network,Feature Maps,Robotic System,Image Segmentation,Segmentation Accuracy,Adaptive Control,Attention Mechanism,Global Features,Local Features,Long ...
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