| On the quantification of aleatory and epistemic uncertainty using sliced-normal distributions LG Crespo, BK Colbert, SP Kenny, DP Giesy Systems & Control Letters 134, 104560, 2019 | 41 | 2019 |
| Using Trajectory Measurements to Estimate the Region of Attraction of Nonlinear Systems BK Colbert, MM Peet 2018 IEEE Conference on Decision and Control (CDC), 2341-2347, 2018 | 14 | 2018 |
| Robust Estimation of Sliced-Exponential Distributions⋆ LG Crespo, BK Colbert, T Slager, SP Kenny 2021 60th IEEE Conference on Decision and Control (CDC), 6742-6748, 2021 | 8 | 2021 |
| Improving the Uncertainty Quantification of Sliced Normal Distributions by Scaling the Covariance Matrix BK Colbert, LG Crespo, MM Peet | 8* | 2020 |
| A sum of squares optimization approach to uncertainty quantification BK Colbert, LG Crespo, MM Peet 2019 American Control Conference (ACC), 5378-5384, 2019 | 7 | 2019 |
| Comparisons of performance metrics and machine learning methods on an entry descent and landing database TJ Wignall, T Nakamura-Zimmerer, JB Scoggins, S Snyder, S Kumar, ... AIAA SCITECH 2023 Forum, 1183, 2023 | 6 | 2023 |
| A Convex Parametrization of a New Class of Universal Kernel Functions BK Colbert, MM Peet Journal of Machine Learning Research 21 (45), 1-29, 2020 | 6 | 2020 |
| Structured Covariance Gaussian Networks for Orion Crew Module Aerodynamic Uncertainty Quantification T Nakamura-Zimmerer, MT Stringer, BK Colbert, JB Scoggins AIAA SCITECH 2023 Forum, 1184, 2023 | 5 | 2023 |
| Dimensionality reduction of sliced-normal distributions LG Crespo, BK Colbert, SP Kenny, DP Giesy IFAC-PapersOnLine 53 (2), 7412-7417, 2020 | 3 | 2020 |
| PolySafe: A formally verified algorithm for conflict detection on a polynomial airspace BK Colbert, JT Slagel, LG Crespo, S Balachandran, C Munoz IFAC-PapersOnLine 53 (2), 15615-15620, 2020 | 3 | 2020 |
| Interval predictor models for robust system identification LG Crespo, SP Kenny, BK Colbert, T Slagel 2021 60th IEEE Conference on Decision and Control (CDC), 872-879, 2021 | 1 | 2021 |
| Using SDP to Parameterize Universal Kernel Functions BK Colbert, MM Peet IEEE 58th Conference on Decision and Control, 2019 | 1 | 2019 |
| Combining SOS with Branch and Bound to Isolate Global Solutions of Polynomial Optimization Problems B Colbert, H Mohammadi, MM Peet 2018 Annual American Control Conference (ACC), 2190-2197, 2018 | 1 | 2018 |
| From Data to Predictive Models: Robust Identification and Analysis of the Immune System BK Colbert Arizona State University, 2021 | | 2021 |
| A New Algorithm for Tessellated Kernel Learning BK Colbert, MM Peet arXiv preprint arXiv:2006.07693, 2020 | | 2020 |
| A Convex Approach to Learning a New Class of Universal Kernel Functions B Colbert, M Peet Journal of machine learning research, 2020 | | 2020 |
| A Convex Parametrization of a New Class of Universal Kernel Functions for use in Kernel Learning BK Colbert, MM Peet arXiv preprint arXiv:1711.05477, 2017 | | 2017 |
