MODEXRE Forensic Pipeline Uses SHAP Explainability for Intrusion Detection
Extends XGBoost classifier with SHAP for explainable forensic intrusion detection with chain of custody.
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Stories tagged #xgboost
Hyperband-tuned XGBoost leads atrial fibrillation detection study
On PhysioNet ECG data the best model reached a peak F1 score of 96.95%.
Systematically Optimized CNN-Transformer with Focal Loss for Imbalanced Intrusion Detection on NSL-KDD
A tuned CNN-Transformer with Focal Loss reaches 98.73% accuracy on imbalanced NSL-KDD detection.
A Framework to Quantify the Probability of Future Cyber Loss Events
LEFSA estimates future cyber-loss probabilities from Defender telemetry, with XGBoost reaching 0.90 mean AUC across 23 organizations.
A Hybrid LSTM-XGBoost Framework for Multi-Horizon Stock Return Prediction Across Diversified Equity Portfolios
Hybrid LSTM-XGBoost model predicts multi-horizon returns for 14 US equities, cutting 30-day RMSE to about one-third of a standalone LSTM baseline.