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Search results for biblio_type:Talks, contributed
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2022
M. Roald, C. Schenker, V. D. Calhoun, T. Adali, R. Bro, J. E. Cohen and E. A. Ataman. An AO-ADMM approach to constrained PARAFAC2 In Nordic AI Meet., 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 4 (2022): 1191-1222.
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 39, no. 4 (2022): 8-24.
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).