Search Results for author: Tulay Adali

Found 4 papers, 1 papers with code

New Interpretable Patterns and Discriminative Features from Brain Functional Network Connectivity Using Dictionary Learning

no code implementations10 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.

Dictionary Learning

Multidataset Independent Subspace Analysis with Application to Multimodal Fusion

1 code implementation11 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.

Combinatorial Optimization

Independent Component Analysis by Entropy Maximization with Kernels

no code implementations22 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.

Enhancing ICA Performance by Exploiting Sparsity: Application to FMRI Analysis

no code implementations19 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.

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