| Detecting change processes in dynamic networks by frequent graph evolution rule mining E Scharwächter, E Müller, J Donges, M Hassani, T Seidl IEEE International Conference on Data Mining (ICDM), 2016 | 20 | 2016 |
| Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time Series E Scharwächter, E Müller Annals of Applied Statistics 14 (3), 1285-1303, 2020 | 11 | 2020 |
| Two-Sample Testing for Event Impacts in Time Series E Scharwächter, E Müller SIAM International Conference on Data Mining (SIAM SDM), 2020 | 7 | 2020 |
| Statistical Evaluation of Anomaly Detectors for Sequences E Scharwächter, E Müller ACM SIGKDD Workshop on Mining and Learning from Time Series (KDD MiLeTS), 2020 | 6 | 2020 |
| Source-Side Discontinuous Phrases for Machine Translation: A Comparative Study on Phrase Extraction and Search. M Huck, E Scharwächter, H Ney Prague Bull. Math. Linguistics 99, 17-38, 2013 | 4 | 2013 |
| Differentiable Segmentation of Sequences E Scharwächter, J Lennartz, E Müller International Conference on Learning Representations (ICLR), 2020 | 2 | 2020 |
| Solving substitution ciphers for OCR with a semi-supervised hidden Markov model E Scharwächter, S Vogel IEEE International Conference on Document Analysis and Recognition (ICDAR), 2015 | 2 | 2015 |
| Low redundancy estimation of correlation matrices for time series using triangular bounds E Scharwächter, F Geier, L Faber, E Müller Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2018 | 1 | 2018 |
| Event impact analysis for time series E Scharwächter | | 2022 |
