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Filters: Author is Calhoun, Vince D.  [Clear All Filters]
2022
M. Roald, C. Schenker, V. D. Calhoun, T. Adali, R. Bro, J. E. Cohen, and E. A. Ataman. "An AO-ADMM approach to constraining PARAFAC2 on all modes." SIAM Journal on Mathematics of Data Science (2022).
T. Adali, F. Kantar, M. A. B. S. Akhonda, S. Strother, V. D. Calhoun, and E. A. Ataman. "Reproducibility in Matrix and Tensor Decompositions: Focus on Model Match, Interpretability, and Uniqueness." IEEE Signal Processing Magazine (2022).
2019
E. A. Ataman, C. Schenker, Y. Levin-Schwartz, V. D. Calhoun, and T. Adali. Biomarker Discovery through Structure-Revealing Fusion of Multi-Modal Neuroimaging Data In IEEE EMBC (Engineering in Medicine and Biology Conference), Berlin, Germany., 2019.
E. A. Ataman, C. Schenker, Y. Levin-Schwartz, V. D. Calhoun, and T. Adali. "Unraveling Diagnostic Biomarkers of Schizophrenia Through Structure-Revealing Fusion of Multi-Modal Neuroimaging Data." Frontiers in Neuroscience 13 (2019).