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Balancing the Stability and Predictive Performance for Multivariate Voxel Selection in fMRI Study.

S. Yan, X. Yang, C. Wu, Z. Zheng, and Y. Guo. Brain Informatics and Health, volume 8609 of Lecture Notes in Computer Science, page 90-99. Springer, (2014)

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Shuhao Yan University of Stuttgart

Hsiu-Yu Yang University of Stuttgart

Guangpu Yang University of Stuttgart

Xiliu Yang University of Stuttgart

Peihan Yang University of Stuttgart

Other publications of authors with the same name

Sensor Deployment in Bayesian Compressive Sensing Based Environmental Monitoring.C. Wu, D. Wu, S. Yan, and Y. Guo. MobiQuitous, volume 131 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 37-51. Springer, (2013)Building a generic platform for big sensor data application.C. Lee, D. Birch, C. Wu, D. Silva, O. Tsinalis, Y. Li, S. Yan, M. Ghanem, and Y. Guo. BigData, page 94-102. IEEE Computer Society, (2013)Linear Dynamic Sparse Modelling for functional MR imaging.S. Yan, L. Nie, C. Wu, and Y. Guo. Brain Informatics, 1 (1-4): 11-18 (2014)Functional neuroimaging : a sparse modelling approach.S. Yan. Imperial College London, UK, (2014)British Library, EThOS.Balancing the Stability and Predictive Performance for Multivariate Voxel Selection in fMRI Study.S. Yan, X. Yang, C. Wu, Z. Zheng, and Y. Guo. Brain Informatics and Health, volume 8609 of Lecture Notes in Computer Science, page 90-99. Springer, (2014)Tracking dynamic sparse signals with hierarchical Kalman filters: A case study.J. Filos, E. Karseras, W. Dai, and S. Yan. DSP, page 1-6. IEEE, (2013)An Approximation Approach to Measurement Design in the Reconstruction of Functional MRI Sequences.S. Yan, L. Nie, C. Wu, and Y. Guo. Brain and Health Informatics, volume 8211 of Lecture Notes in Computer Science, page 115-125. Springer, (2013)Integration of sparse Bayesian learning and random subspace for fMRI Multivariate Pattern Analysis.S. Yan, X. Yang, C. Wu, and Y. Guo. EMBC, page 1035-1038. IEEE, (2014)