4 citations · 8 across the 2 of their papers we have counts for
3 papers
physics.data-an2018
An Accurate Data Cleaning Procedure for Electron Cyclotron Emission Imaging on EAST Tokamak Based on Methodology of Machine Learning
C. Li, T. Lan, Y. Wang +4
A new data cleaning procedure for electron cyclotron emission imaging (ECEI) of EAST tokamak is constructed. Machine learning techniques, including SVM and Decision tree, are appli…
cs.LG2017★ 4 cited
Improvement of training set structure in fusion data cleaning using Time-Domain Global Similarity method
Jian Liu, Ting Lan, Hong Qin
Traditional data cleaning identifies dirty data by classifying original data sequences, which is a classimbalanced problem since the proportion of incorrect data is much less th…
cs.LG2017★ 4 cited
Preference-based performance measures for Time-Domain Global Similarity method
Ting Lan, Jian Liu, Hong Qin
For Time-Domain Global Similarity (TDGS) method, which transforms the data cleaning problem into a binary classification problem about the physical similarity between channels, dir…