An overview and a benchmark of active learning for outlier detection with one-class classifiers H Trittenbach, A Englhardt, K Böhm Expert Systems with Applications 168, 114372, 2021 | 50 | 2021 |
Toward meaningful notions of similarity in nlp embedding models Á Elekes, A Englhardt, M Schäler, K Böhm International Journal on Digital Libraries 21 (2), 109-128, 2020 | 15 | 2020 |
Validating One-Class Active Learning with User Studies–a Prototype and Open Challenges H Trittenbach, A Englhardt, K Böhm ECML PKDD Workshop, 17, 2019 | 12 | 2019 |
An evaluation of combinations of lossy compression and change-detection approaches for time-series data G Hollmig, M Horne, S Leimkühler, F Schöll, C Strunk, A Englhardt, ... Information Systems 65, 65-77, 2017 | 11 | 2017 |
Improving semantic change analysis by combining word embeddings and word frequencies A Englhardt, J Willkomm, M Schäler, K Böhm International Journal on Digital Libraries 21 (3), 247-264, 2020 | 9 | 2020 |
Finding the Sweet Spot: Batch Selection for One-Class Active Learning A Englhardt, H Trittenbach, D Vetter, K Böhm Proceedings of the 2020 SIAM International Conference on Data Mining, 118-126, 2020 | 9 | 2020 |
Resources to examine the quality of word embedding models trained on n-gram data Á Elekes, A Englhardt, M Schäler, K Böhm Proceedings of the 22nd Conference on Computational Natural Language …, 2018 | 7 | 2018 |
Efficient SVDD sampling with approximation guarantees for the decision boundary A Englhardt, H Trittenbach, D Kottke, B Sick, K Böhm Machine Learning, 1-27, 2022 | 4 | 2022 |
Exploring the Unknown–Query Synthesis in One-Class Active Learning A Englhardt, K Böhm Proceedings of the 2020 SIAM International Conference on Data Mining, 145-153, 2020 | 3 | 2020 |
Energy Time-Series Features for Emerging Applications on the Basis of Human-Readable Machine Descriptions M Vollmer, A Englhardt, H Trittenbach, P Bielski, S Karrari, K Böhm Proceedings of the Tenth ACM International Conference on Future Energy …, 2019 | 3 | 2019 |
How to quantify the impact of lossy transformations on change detection P Efros, E Buchmann, A Englhardt, K Böhm Proceedings of the 27th International Conference on Scientific and …, 2015 | 3 | 2015 |
How to Quantify the Impact of Lossy Transformations on Event Detection P Efros, E Buchmann, A Englhardt, K Böhm Big Data Research 9, 84-97, 2017 | 1 | 2017 |
Cost-Quality Trade-Offs in One-Class Active Learning A Englhardt Karlsruher Institut für Technologie (KIT), 2021 | | 2021 |