79 citations · 91 across the 2 of their papers we have counts for
2 papers
physics.plasm-ph2019★ 79 cited
Deep convolutional neural networks for multi-scale time-series classification and application to disruption prediction in fusion devices
R. M. Churchill, the DIII-D team
The multi-scale, mutli-physics nature of fusion plasmas makes predicting plasma events challenging. Recent advances in deep convolutional neural network architectures (CNN) utilizi…
cs.CL2019★ 12 cited
GumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective Detection
Yue Yu, Yilun Zhu, Yang Liu +4
In this paper we present GumDrop, Georgetown University's entry at the DISRPT 2019 Shared Task on automatic discourse unit segmentation and connective detection. Our approach relie…