| 2024 | ICMLA | 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 |
| 2022 | ICMLA | Anomaly Detection from Multilinear Observations via Time-Series Analysis and 3DTPCA. | Jackson Cates, Randy C. Hoover, Kyle A. Caudle, David J. Marchette, Cagri Ozdemir |
| 2022 | ICMLA | Kernelization of Tensor Discriminant Analysis with Application to Image Recognition. | Cagri Ozdemir, Randy C. Hoover, Kyle A. Caudle, Karen S. Braman |
| 2021 | ICIP | 2DTPCA: A New Framework for Multilinear Principal Component Analysis. | Cagri Ozdemir, Randy C. Hoover, Kyle A. Caudle |
| 2021 | ICMLA | Transform-Based Tensor Auto Regression for Multilinear Time Series Forecasting. | Jackson Cates, Randy C. Hoover, Kyle A. Caudle, Riley Kopp, Cagri Ozdemir |
| 2021 | ICMLA | Fast Tensor Singular Value Decomposition Using the Low-Resolution Features of Tensors. | Cagri Ozdemir, Randy C. Hoover, Kyle A. Caudle |
| 2019 | ICMLA | Advanced Decision Making and Interpretability through Neural Shrubs. | Kyle A. Caudle, Randy C. Hoover, Aaron Alphonsus, Shashwati Shradha |
| 2018 | ICMLA | Multilinear Discriminant Analysis Through Tensor-Tensor Eigendecomposition. | Kyle A. Caudle, Randy C. Hoover, Karen S. Braman |
| 2011 | ICMLA | Introducing Flow Field Forecasting. | Michael Frey, Kyle A. Caudle |