| 2023 | IGARSS | Bayesian vs Generalized Likelihood Ratio Detection of Solid Sub-Pixel Targets. | James Theiler |
| 2023 | IGARSS | Closed-Form Non-Parametric Admissible Detector for Solid Sub-Pixel Targets. | Stefania Matteoli, James Theiler |
| 2021 | IGARSS | Bayesian Detection of Solid Subpixel Targets. | James Theiler, Stefania Matteoli, Amanda Ziemann |
| 2020 | IGARSS | Some Closed-Form Expressions for Absorptive Plume Detection. | James Theiler, Alan P. Schaum |
| 2018 | IGARSS | Closed-Form Detector for Solid Sub-Pixel Targets in Multivariate T-Distributed Background Clutter. | James Theiler, Beate G. Zimmer, Amanda Ziemann |
| 2017 | IGARSS | Segmented regression for spatio-spectral background estimation. | James Theiler, Amanda Ziemann |
| 2017 | IGARSS | Variable target detection using Simplex ACE. | Amanda Ziemann, James Theiler |
| 2012 | ICASSP | Local principal component pursuit for nonlinear datasets. | Brendt Wohlberg, Rick Chartrand, James Theiler |
| 2010 | IGARSS | Using support vector machines for anomalous change detection. | Ingo Steinwart, James Theiler, Daniel Llamocca |
| 2010 | IGARSS | Sparse matrix transform for fast projection to reduced dimension. | James Theiler, Guangzhi Cao, Charles A. Bouman |
| 2010 | IGARSS | Statistics for characterizing data on the periphery. | James Theiler, Don R. Hush |
| 2010 | IGARSS | Block-diagonal representations for covariance-based Anomalous change detectors. | Anna Matsekh, James Theiler |
| 2008 | IGARSS | EC-GLRT: Detecting Weak Plumes in Non-Gaussian Hyperspectral Clutter Using an Elliptically-Contoured Generalized Likelihood Ratio Test. | James Theiler, Bernard R. Foy |
| 2006 | IGARSS | Incorporating Spatial Contiguity into the Design of a Support Vector Machine Classifier. | Murat Dundar, James Theiler, Simon Perkins |
| 2005 | ICML | Online feature selection for pixel classification. | Karen A. Glocer, Damian Eads, James Theiler |
| 2003 | ICML | Online Feature Selection using Grafting. | Simon Perkins, James Theiler |
| 2003 | ICML | Weighted Order Statistic Classifiers with Large Rank-Order Margin. | Reid B. Porter, Damian Eads, Don R. Hush, James Theiler |
| 2003 | IJCNN | Firing correlations improve detection of moving bars. | Garrett T. Kenyon, James Theiler, David W. Marshak, Bartlett Moore, Janelle Jeffs, Bryan J. Travis |
| 2002 | ICMLA | Modified Kernel-based Nonlinear Feature Extraction. | Junshui Ma, Simon Perkins, James Theiler, Stanley C. Ahalt |
| 2001 | FPGA | Algorithmic transformations in the implementation of K- means clustering on reconfigurable hardware. | Mike Estlick, Miriam Leeser, James Theiler, John J. Szymanski |