Johannes Haug
Johannes Haug
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A wearable sensor system for lameness detection in dairy cattle
J Haladjian, J Haug, S Nüske, B Bruegge
Multimodal Technologies and Interaction 2 (2), 27, 2018
Deep neural networks and tabular data: A survey
V Borisov, T Leemann, K Seßler, J Haug, M Pawelczyk, G Kasneci
arXiv preprint arXiv:2110.01889, 2021
CancelOut: A Layer for Feature Selection in Deep Neural Networks
V Borisov, J Haug, G Kasneci
International conference on artificial neural networks, 72-83, 2019
On baselines for local feature attributions
J Haug, S Zürn, P El-Jiz, G Kasneci
arXiv preprint arXiv:2101.00905, 2021
Learning parameter distributions to detect concept drift in data streams
J Haug, G Kasneci
2020 25th International Conference on Pattern Recognition (ICPR), 9452-9459, 2021
Leveraging model inherent variable importance for stable online feature selection
J Haug, M Pawelczyk, K Broelemann, G Kasneci
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Towards user empowerment
M Pawelczyk, J Haug, K Broelemann, G Kasneci
TüEyeQ, a rich IQ test performance data set with eye movement, educational and socio-demographic information
E Kasneci, G Kasneci, T Appel, J Haug, F Wortha, M Tibus, U Trautwein, ...
Scientific Data 8 (1), 1-14, 2021
Dynamic Model Tree for Interpretable Data Stream Learning
J Haug, K Broelemann, G Kasneci
arXiv preprint arXiv:2203.16181, 2022
Standardized Evaluation of Machine Learning Methods for Evolving Data Streams
J Haug, E Tramountani, G Kasneci
arXiv preprint arXiv:2204.13625, 2022
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