Jackson Cates

According to our database, Jackson Cates authored at least 5 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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

2024

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

Proceedings of the International Conference on Machine Learning and Applications, 2024

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

Anomaly Detection from Multilinear Observations via Time-Series Analysis and 3DTPCA.

Jackson Cates, Randy C. Hoover, Kyle A. Caudle, David J. Marchette, Cagri Ozdemir

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

Transform-Based Tensor Auto Regression for Multilinear Time Series Forecasting.

Jackson Cates, Randy C. Hoover, Kyle A. Caudle, Riley Kopp, Cagri Ozdemir

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021