Adrian Englhardt
Title
Cited by
Cited by
Year
An overview and a benchmark of active learning for outlier detection with One-Class classifiers
H Trittenbach, A Englhardt, K Böhm
arXiv preprint arXiv:1808.04759, 2018
8*2018
Validating One-Class Active Learning with User Studies–a Prototype and Open Challenges
H Trittenbach, A Englhardt, K Böhm
ECML PKDD Workshop, 17, 2019
62019
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
32020
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
32017
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
32015
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
22019
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
22018
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
12020
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
12020
Improving semantic change analysis by combining word embeddings and word frequencies
A Englhardt, J Willkomm, M Schäler, K Böhm
International Journal on Digital Libraries, 1-18, 2019
12019
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
12017
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Articles 1–11