| Deep Q-network for radar task-scheduling problem T George, K Wagner, P Rademacher 2022 IEEE Radar Conference (RadarConf22), 1-5, 2022 | 8 | 2022 |
| Efficient Bayesian sequential classification under the Markov assumption for various loss functions P Rademacher, K Wagner IEEE signal processing letters 27, 401-405, 2020 | 2 | 2020 |
| Bayesian Learning for Classification using a Uniform Dirichlet Prior P Rademacher, M Doroslovački 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2019 | 2 | 2019 |
| Bayesian Learning for Regression Using Dirichlet Prior Distributions of Varying Localization P Rademacher, M Doroslovački 2021 IEEE Statistical Signal Processing Workshop (SSP), 236-240, 2021 | 1 | 2021 |
| Markov Decision Process Design for Imitation of Optimal Task Schedulers P Rademacher, K Wagner, L Smith 2023 IEEE Statistical Signal Processing Workshop (SSP), 56-60, 2023 | | 2023 |
| Cognitive Resource Scheduling K Wagner, P Rademacher US Patent App. 17/830,321, 2022 | | 2022 |
| Predictive Distribution Estimation for Bayesian Machine Learning using a Dirichlet Process Prior P Rademacher, M Doroslovački 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 1941-1945, 2019 | | 2019 |
