Xin Sun
Sichuan University
926 Papers
3K Citations
Xin Sun is an academic researcher from Sichuan University. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 63, co-authored 729 publications. Previous affiliations of Xin Sun include Ludwig Maximilian University of Munich & University of Eastern Finland.
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Papers
The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature
Eric W.T. Ngai,Yong Hu,Y. H. Wong,Yijun Chen,Xin Sun +4 more
- 01 Feb 2011
TL;DR: The main data mining techniques used for FFD are logistic models, neural networks, the Bayesian belief network, and decision trees, all of which provide primary solutions to the problems inherent in the detection and classification of fraudulent data.
Laminated magnetic graphene with enhanced electromagnetic wave absorption properties
TL;DR: In this paper, the authors reported a facile solvothermal route to synthesize laminated magnetic graphene and showed that there have significant changes in the electromagnetic properties of magnetic graphene when compared with pure graphene.
740
Development of the Instrument to assess the Credibility of Effect Modification Analyses (ICEMAN) in randomized controlled trials and meta-analyses.
Stefan Schandelmaier,Stefan Schandelmaier,Matthias Briel,Matthias Briel,Ravi Varadhan,Christopher H. Schmid,Niveditha Devasenapathy,Rodney A. Hayward,Joel Gagnier,Michael Borenstein,Geert J. M. G. van der Heijden,Geert J. M. G. van der Heijden,Issa J Dahabreh,Xin Sun,Willi Sauerbrei,Michael Walsh,John P. A. Ioannidis,Lehana Thabane,Gordon H. Guyatt +18 more
TL;DR: The Instrument for assessing the Credibility of Effect Modification Analyses offers explicit guidance for investigators, systematic reviewers, journal editors and others considering making a claim of effect modification or interpreting a claim made by others.
Twinning and martensite in a 304 austenitic stainless steel
TL;DR: The microstructure characteristics and deformation behavior of 304L stainless steel during tensile deformation at two different strain rates have been investigated by means of interrupted tensile tests, electron-backscatter-diffraction and transmission electron microscopy (TEM) techniques as discussed by the authors.
496
Prediction of Sea Surface Temperature Using Long Short-Term Memory
TL;DR: This letter adopts long short-term memory (LSTM) to predict sea surface temperature (SST), and makes short- and long-term prediction, including weekly mean and monthly mean, and the model’s online updated characteristics are presented.
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