2DTPCA: A New Framework for Multilinear Principal Component Analysis. - Cagri Ozdemir; Randy C. Hoover; Kyle A. Caudle (ICIP, 2021)

Transform-Based Tensor Auto Regression for Multilinear Time Series Forecasting. - Jackson Cates; Randy C. Hoover; Kyle A. Caudle; Riley Kopp; Cagri Ozdemir (ICMLA, 2021)

Fast Tensor Singular Value Decomposition Using the Low-Resolution Features of Tensors. - Cagri Ozdemir; Randy C. Hoover; Kyle A. Caudle (ICMLA, 2021)

Anomaly Detection from Multilinear Observations via Time-Series Analysis and 3DTPCA. - Jackson Cates; Randy C. Hoover; Kyle A. Caudle; David J. Marchette; Cagri Ozdemir (ICMLA, 2022)

Kernelization of Tensor Discriminant Analysis with Application to Image Recognition. - Cagri Ozdemir; Randy C. Hoover; Kyle A. Caudle; Karen S. Braman (ICMLA, 2022)

High-Order Multilinear Discriminant Analysis via Order-n Tensor Eigendecomposition. - Cagri Ozdemir; Randy C. Hoover; Kyle A. Caudle; Karen S. Braman (CoRR, 2022)

Forecasting Multilinear Data via Transform-Based Tensor Autoregression. - Jackson Cates; Randy C. Hoover; Kyle A. Caudle; Cagri Ozdemir; Karen S. Braman; David Machette (CoRR, 2022)

IGCN: Integrative Graph Convolutional Networks for Multi-modal Data. - Cagri Ozdemir; Mohammad Al Olaimat; Yashu Vashishath; Serdar Bozdag; Alzheimer's Disease Neuroimaging Initiative (CoRR, 2024)

Tensor discriminant analysis on grassmann manifold with application to video based human action recognition. - Cagri Ozdemir; Randy C. Hoover; Kyle A. Caudle; Karen S. Braman (Int. J. Mach. Learn. Cybern., 2024)