| Old bands, new tracks—Revisiting the band model for robust hypothesis testing M Fauß, AM Zoubir IEEE Transactions on signal Processing 64 (22), 5875-5886, 2016 | 28 | 2016 |
| A linear programming approach to sequential hypothesis testing M Fauß, AM Zoubir Sequential Analysis 34 (2), 235-263, 2015 | 22 | 2015 |
| Minimax robust detection: Classic results and recent advances M Fauß, AM Zoubir, HV Poor IEEE Transactions on signal Processing 69, 2252-2283, 2021 | 19 | 2021 |
| MMSE bounds for additive noise channels under Kullback–Leibler divergence constraints on the input distribution A Dytso, M Fauß, AM Zoubir, HV Poor IEEE Transactions on Signal Processing 67 (24), 6352-6367, 2019 | 18 | 2019 |
| Minimax robust landmine detection using forward-looking ground-penetrating radar AD Pambudi, M Fauß, F Ahmad, AM Zoubir IEEE Transactions on Geoscience and Remote Sensing 58 (7), 5032-5041, 2020 | 17 | 2020 |
| On optimizing the conditional value-at-risk of a maximum cost for risk-averse safety analysis MP Chapman, M Fauß, KM Smith IEEE Transactions on Automatic Control 68 (6), 3720-3727, 2022 | 14 | 2022 |
| Robust sequential testing of multiple hypotheses in distributed sensor networks MR Leonard, M Stiefel, M Fauß, AM Zoubir 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 14 | 2018 |
| Minimax optimal sequential hypothesis tests for Markov processes M Fauss, AM Zoubir, HV Poor The Annals of Statistics 48 (5), 2599-2621, 2020 | 13 | 2020 |
| Bayesian sequential joint detection and estimation D Reinhard, M Fauß, AM Zoubir Sequential Analysis 37 (4), 530-570, 2018 | 13 | 2018 |
| Block sparsity-based DOA estimation with sensor gain and phase uncertainties H Huang, M Fauß, AM Zoubir 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 10 | 2019 |
| An approach to joint sequential detection and estimation with distributional uncertainties D Reinhard, M Fauß, AM Zoubir 2016 24th European Signal Processing Conference (EUSIPCO), 2201-2205, 2016 | 10 | 2016 |
| Bayesian risk with Bregman loss: A Cramér–Rao type bound and linear estimation A Dytso, M Fauß, HV Poor IEEE Transactions on Information Theory 68 (3), 1985-2000, 2021 | 9 | 2021 |
| The vector Poisson channel: On the linearity of the conditional mean estimator A Dytso, M Fauß, HV Poor IEEE Transactions on Signal Processing 68, 5894-5903, 2020 | 9 | 2020 |
| Bayesian sequential joint signal detection and signal-to-noise ratio estimation D Reinhard, M Fauß, AM Zoubir 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 9 | 2019 |
| Sequential joint detection and estimation with an application to joint symbol decoding and noise power estimation D Reinhard, M Fauß, AM Zoubir ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 8 | 2020 |
| Distributed joint detection and estimation: A sequential approach D Reinhard, M Fauß, AM Zoubir 2020 54th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2020 | 8 | 2020 |
| In a one-bit rush: Low-latency wireless spectrum monitoring with binary sensor arrays MS Stein, M Fauß 2018 IEEE Statistical Signal Processing Workshop (SSP), 223-227, 2018 | 8 | 2018 |
| CVaR-based safety analysis in the infinite time horizon setting C Wei, M Fauß, MP Chapman 2022 American Control Conference (ACC), 2863-2870, 2022 | 7 | 2022 |
| Exploiting sparsity for robust sensor network localization in mixed LOS/NLOS environments D Jin, F Yin, M Fauß, M Muma, AM Zoubir ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 7 | 2020 |
| Forward looking GPR-based landmine detection using a robust likelihood ratio test AD Pambudi, M Fauß, F Ahmad, AM Zoubir 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 7 | 2019 |
