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Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation
Earth Science Deep Learning: Applications and Lessons Learned
Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
Predicting OH Measurements from In-Situ Aircraft Campaigns Using Machine Learning
ICE-RASSOR: Intelligent Capabilities Enhanced Regolith Advanced Surface Systems Operations Robot
A Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction
Predicting Arrival and Departure Runway Assignments with Machine Learning
Sustainable Aviation Operations: Reducing the Impact of Aviation on our Planet
Predicting Cognitive States Using Machine Learning Fusion Paradigms to Reduce Model Uncertainty
1D-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks
1D-Convolutional Neural Network Architecture for Generalized Time-Segmentation Tasks
Collision Avoidance Approach Using Deep Reinforcement Learning
Lessons Learned in the Application of Machine Learning Techniques to Air Traffic Management