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1. Deep convolutional neural networks for multi-scale time-series classification and application to disruption prediction in fusion devices

2. Machine Learning Characterization of Alfvénic and Sub-Alfvénic Chirping and Correlation With Fast-Ion Loss at NSTX

3. Toward fusion plasma scenario planning for NSTX-U using machine-learning-accelerated models

4. Machine Learning Characterization of Alfvénic and Sub-Alfvénic Chirping and Correlation With Fast-Ion Loss at NSTX