• RADE

  • Referenced in 1 article [sw41100]
  • efficient supervised anomaly detection using decision tree-based ensemble methods. The capability to perform anomaly ... detection methods being too resource consuming, and in particular decision-tree based ensemble classifiers ... detection framework that augments standard decision-tree based ensemble classifiers to perform well ... anomaly detection capabilities as compared to standard methods while significantly improving memory footprint...
  • UCI-ml

  • Referenced in 3403 articles [sw04074]
  • UC Irvine Machine Learning Repository. We currently maintain...
  • Scikit

  • Referenced in 611 articles [sw08058]
  • Scikit-learn: machine learning in python. Scikit-learn...
  • C4.5

  • Referenced in 1164 articles [sw12176]
  • C4.5: programs for machine learning. (C4.5 has been...
  • XGBoost

  • Referenced in 125 articles [sw21035]
  • XGBoost is an optimized distributed gradient boosting library...
  • LightGBM

  • Referenced in 21 articles [sw27912]
  • LightGBM: A highly efficient gradient boosting decision tree...
  • CatBoost

  • Referenced in 7 articles [sw31560]
  • CatBoost: gradient boosting with categorical features support. In...
  • JOUSBoost

  • Referenced in 3 articles [sw33874]
  • R package JOUSBoost: Implements Under/Oversampling for Probability Estimation...
  • SMOTE

  • Referenced in 152 articles [sw34239]
  • SMOTE: Synthetic Minority Over-sampling Technique. An approach...
  • BranchyNet

  • Referenced in 3 articles [sw36240]
  • BranchyNet: Fast Inference via Early Exiting from Deep...