| 2020 | AAAI | Distributed Stochastic Gradient Descent with Event-Triggered Communication. | Jemin George, Prudhvi Gurram |
| 2020 | AAAI | Sanity Checks for Saliency Metrics. | Richard Tomsett, Dan Harborne, Supriyo Chakraborty, Prudhvi Gurram, Alun D. Preece |
| 2020 | IROS | Vision-Based Gesture Recognition in Human-Robot Teams Using Synthetic Data. | Celso M. de Melo, Brandon Rothrock, Prudhvi Gurram, Oytun Ulutan, B. S. Manjunath |
| 2020 | ISIT | Multislot and Multistream Quickest Change Detection in Statistically Periodic Processes. | Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps |
| 2019 | ICASSP | Quickest Detection of Deviations from Periodic Statistical Behavior. | Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps |
| 2019 | ISIT | Bayesian Quickest Detection of Changes in Statistically Periodic Processes. | Taposh Banerjee, Prudhvi Gurram, Gene T. Whipps |
| 2018 | FUSION | Sequential Event Detection Using Multimodal Data in Nonstationary Environments. | Taposh Banerjee, Gene T. Whipps, Prudhvi Gurram, Vahid Tarokh |
| 2018 | FUSION | Why the Failure? How Adversarial Examples Can Provide Insights for Interpretable Machine Learning. | Richard Tomsett, Amy Widdicombe, Tianwei Xing, Supriyo Chakraborty, Simon Julier, Prudhvi Gurram, Raghuveer M. Rao, Mani B. Srivastava |
| 2017 | UIC | Interpretability of deep learning models: A survey of results. | Supriyo Chakraborty, Richard Tomsett, Ramya Raghavendra, Daniel Harborne, Moustafa Alzantot, Federico Cerutti, Mani B. Srivastava, Alun D. Preece, Simon Julier, Raghuveer M. Rao, Troy D. Kelley, Dave Braines, Murat Sensoy, Christopher J. Willis, Prudhvi Gurram |
| 2016 | CVPR | A Polarimetric Thermal Database for Face Recognition Research. | Shuowen Hu, Nathaniel J. Short, Benjamin S. Riggan, Christopher Gordon, Kristan P. Gurton, Matthew Thielke, Prudhvi Gurram, Alex L. Chan |
| 2015 | IGARSS | Shapely value based random subspace selection for hyperspectral image classification. | Prudhvi Gurram, Heesung Kwon, Charles Davidson |
| 2014 | IGARSS | Coalition game theory based feature subset selection for hyperspectral image classification. | Prudhvi Gurram, Heesung Kwon |
| 2012 | IGARSS | Contextual SVM for hyperspectral classification using Hilbert Space Embedding. | Prudhvi Gurram, Heesung Kwon |
| 2011 | IGARSS | Generalized optimal Kernel-Based Ensemble Learning for hyperspectral classification problems. | Prudhvi Gurram, Heesung Kwon |
| 2010 | IGARSS | A full diagonal bandwidth gaussian kernel SVM based ensemble learning for hyperspectral chemical plume detection. | Prudhvi Gurram, Heesung Kwon |
| 2010 | IGARSS | Optimal kernel bandwidth estimation for hyperspectral kernel-based anomaly detection. | Heesung Kwon, Prudhvi Gurram |