Anomaly Detection in General-Aviation Operations Using Energy Metrics and Flight-Data Records
Identification of Instantaneous Anomalies in General Aviation Operations Using Energy Metrics
Minimax and Multi-Criteria Selection of Representative Model Portfolios for Complex Systems Analysis
Multiclass Multiple-Instance Learning for Predicting Precursors to Aviation Safety Events
Improved Instrument Approach Stability Analysis for Helicopters Using Data Fusion and Analytics
Probabilistic REpresentatives Mining (PREM): A Clustering Method for Distributional Data Reduction