12345795's Stars
Albertsr/Class-Imbalance
Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.
brianwade1/sonar_mine_NN_v_RF
This project uses a grid search optimization and then trains two models: a fully connected feed-forward neural network and a random forest to classify the returns from a sonar examining simulated mines (metal cylinders) and standard rocks (false mines).
panda1949/AEFS
Code for paper "Autoencoder Inspired Unsupervised Feature Selection"
urwithajit9/FDIA-classification
This repository will have pre-processed dataset and related scripts for building Machine learning based model for classification of False Data Injection Attack.
JiweiTian/IEC61850SecurityDataset