- J. Peeples, W. Xu and A. Zare, “Histogram Layers for Texture Analysis,” in IEEE Transactions on Artificial Intelligence, vol. 3, no. 4, pp. 541-552, Aug. 2022, doi: 10.1109/TAI.2021.3135804.
- J. Peeples, C. McCurley, S. Walker, D. Stewart, and A. Zare, “Learnable Adaptive Cosine Estimator (LACE) for Image Classification,” in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, pp. 3479-3489, doi: 10.1109/WACV51458.2022.00381.
- J. Peeples, J. Jameson, N. Kotta, J. Grasman, W. Stoppel, and A. Zare, “Jointly Optimized Spatial Histogram UNET Architecture (JOSHUA) for Adipose Tissue Segmentation,” in BME Frontiers Special Issue: AI for Advanced Biomedical Applications, vol. 2022, doi: 10.34133/2022/9854084.
- J. Peeples, M. Cook, D. Suen, A. Zare, and J. Keller, “Comparison of Possibilistic Fuzzy Local Information C-Means and Possiblisitic K-Nearest Neighbors for Synthetic Aperture Sonar Segmentation,” in Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIV, vol. 11012. International Society for Optics and Photonics (SPIE), 2019, p. 110120T. doi: 10.1117/12.2519484.