Dr. Plis is an expert in machine learning and has applied his expertise in the field of neuroscience. Sergey specializes in analyzing datasets from multiple sources and discerning meaningful patterns and outcomes using advanced machine learning techniques.
Potluru, V. K., Plis, S. M., Mørup, M., Calhoun, V. D., & Lane, T. (2009, January). Efficient Multiplicative Updates for Support Vector Machines. In SDM (pp. 1220-1231).
S. M. Plis, V. D. Calhoun, M. P. Weisend, and T. Lane, "MEG and fMRI fusion for nonlinear estimation of neural and BOLD signal changes," Frontiers in Neuroinformatics, vol. 4, pp. 1-17, 2010
Biessmann, F., Plis, S., Meinecke, F. C., Eichele, T., & Muller, K. (2011). Analysis of multimodal neuroimaging data. Biomedical Engineering, IEEE Reviews in, 4, 26-58.
Plis, S. M., Weisend, M. P., Damaraju, E., Eichele, T., Mayer, A., Clark, V. P., ... & Calhoun, V. D. (2011). Effective connectivity analysis of fMRI and MEG data collected under identical paradigms. Computers in biology and medicine, 41(12), 1156-1165.
R. Silva, S. M. Plis, T. Adalı, and V. D. Calhoun, "A Statistically Motivated Simulation Framework for Data Fusion Models Applied to Neuroimaging," NeuroImage, 2013
Roy, Sushmita, Sergey Plis, Margaret Werner-Washburne, and Terran Lane. "Scalable learning of large networks." IET systems biology 3, no. 5 (2009): 404-413.
Sarwate, Anand D., Sergey M. Plis, Jessica A. Turner, Mohammad R. Arbabshirani, and Vince D. Calhoun. "Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation." Frontiers in neuroinformatics 8 (2014).