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Yongming Liu

Bayesian Entropy Neural Networks for physics-aware prediction
Hierarchical Multilabel Classification for Fine-Level Event Extraction from Aviation Accident Reports
Multi-modal Generative Modeling of Event Sequences and Time Series for Solar PV Systems
Power generation forecasting for solar plants based on Dynamic Bayesian networks by fusing multi-source information
Posterior Regularized Bayesian Neural Network incorporating soft and hard knowledge constraints
Bayesian spatio-temporal graph transformer network (b-star) for multi-aircraft trajectory prediction
Event Extraction for aviation accident reports through attention-based multi-label classification
Data-driven trajectory prediction with weather uncertainties: A Bayesian deep learning approach
Hierarchical Tree-Based Sequential Event Prediction with Application in the Aviation Accident Report
Spatio-Temporal Anomaly Detection, Diagnostics, and Prediction of the Air-Traffic Trajectory Deviation Using the Convective Weather

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