no code implementations • 10 Nov 2022 • Fateme Ghayem, Hanlu Yang, Furkan Kantar, Seung-Jun Kim, Vince D. Calhoun, Tulay Adali
In this paper, we present a new method that leverages ICA and DL for the identification of directly interpretable patterns to discriminate between the HC and Sz groups.
1 code implementation • 11 Nov 2019 • Rogers F. Silva, Sergey M. Plis, Tulay Adali, Marios S. Pattichis, Vince D. Calhoun
In the last two decades, unsupervised latent variable models---blind source separation (BSS) especially---have enjoyed a strong reputation for the interpretable features they produce.
no code implementations • 22 Oct 2016 • Zois Boukouvalas, Rami Mowakeaa, Geng-Shen Fu, Tulay Adali
ICA algorithms cast in the ML framework often deviate from its theoretical optimality properties due to poor estimation of the source PDF.
no code implementations • 19 Oct 2016 • Zois Boukouvalas, Yuri Levin-Schwartz, Tulay Adali
Independent component analysis (ICA) is a powerful method for blind source separation based on the assumption that sources are statistically independent.