| Undecided voters as set-valued information–towards forecasts under epistemic imprecision D Kreiss, T Augustin Scalable Uncertainty Management: 14th International Conference, SUM 2020 …, 2020 | 7 | 2020 |
| Levelwise data disambiguation by cautious superset learning J Rodemann, D Kreiss, E Hüllermeier, T Augustin International Conference on Scalable Uncertainty Management (SUM), 263-276, 2022 | 6 | 2022 |
| Undecided voters as set-valued information-machine learning approaches under complex uncertainty D Kreiss, M Nalenz, T Augustin ECML/PKDD 2020 Workshop on Uncertainty in Machine Learning, 2020 | 6 | 2020 |
| Levelwise data disambiguation by cautious superset classification J Rodemann, D Kreiss, E Hüllermeier, T Augustin International Conference on Scalable Uncertainty Management, 263-276, 2022 | 3 | 2022 |
| Towards a Paradigmatic Shift in Pre-election Polling Adequately Including Still Undecided Voters--Some Ideas Based on Set-Valued Data for the 2021 German Federal Election D Kreiss, T Augustin arXiv preprint arXiv:2109.12069, 2021 | 3 | 2021 |
| Towards improving electoral forecasting by including undecided voters and interval-valued prior knowledge D Kreiss, G Schollmeyer, T Augustin International symposium on imprecise probability: theories and applications …, 2021 | 3 | 2021 |
| Examining undecided voters in multiparty systems D Kreiß | 2 | 2019 |
| Contributions to modeling with set-valued data: benefitting from undecided respondents D Kreiß lmu, 2023 | | 2023 |
| Consideration Set Sampling to Analyze Undecided Respondents D Kreiss, T Augustin arXiv preprint arXiv:2307.14333, 2023 | | 2023 |
| The Pre-Flop Game in Online Poker D Kreiß | | 2016 |
Thomas AugustinProfessor, Department of Statistics, University of Munich (LMU)在 stat.uni-muenchen.de 的电子邮件经过验证
