Nonparametric density estimation of streaming data using orthogonal series. - Kyle A. Caudle; Edward J. Wegman (Comput. Stat. Data Anal., 2009)

Introducing Flow Field Forecasting. - Michael Frey; Kyle A. Caudle (ICMLA (1), 2011)

Flow field forecasting for univariate time series. - Micheal R. Frey; Kyle A. Caudle (Stat. Anal. Data Min., 2013)

Using Density Estimation to Detect Computer Intrusions. - Kyle A. Caudle; Christer Karlsson; Larry D. Pyeatt (IWSPA@CODASPY, 2015)

Multilinear Discriminant Analysis Through Tensor-Tensor Eigendecomposition. - Kyle A. Caudle; Randy C. Hoover; Karen S. Braman (ICMLA, 2018)

Examining Intermediate Data Reduction Algorithms for use with t-SNE. - Aaron Campbell; Kyle A. Caudle; Randy C. Hoover (ICCDA, 2019)

Flow Field Forecasting with Many Predictors. - Kyle A. Caudle; Patrick Fleming; Larry D. Pyeatt; Randy C. Hoover (ICCDA, 2019)

Building a Better Decision Tree by Delaying the Split Decision. - Kyle A. Caudle; Larry D. Pyeatt; Anthony Morast; Christer Karlsson; Randy C. Hoover (ICCDA, 2019)

Advanced Decision Making and Interpretability through Neural Shrubs. - Kyle A. Caudle; Randy C. Hoover; Aaron Alphonsus; Shashwati Shradha (ICMLA, 2019)

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)

A New Approach to Multilinear Dynamical Systems and Control. - Randy C. Hoover; Kyle A. Caudle; Karen S. Braman (CoRR, 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)

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)

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)

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)