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

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)

Temporal Tensor Factorization: A Framework for Low-Rank Multilinear Time Series Forecasting. - Jackson Cates; Randy C. Hoover; Kyle A. Caudle; David J. Marchette; Karissa Schipke (ICMLA, 2024)

TSGCN: A Framework for Hierarchical Graph Representation Learning. - Jackson Cates; Randy C. Hoover; Kyle A. Caudle; David J. Marchette (IEEE Trans. Netw. Sci. Eng., 2025)