Braun, Marco; Wrede, Sebastian

Incorporation of Expert Knowledge for Learning Robotic Assembly Tasks Inproceedings Forthcoming

25th IEEE International Conference on Emerging Technologies and Factory Automation, Forthcoming.

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Shaker, Mohammad Hossein; Hüllermeier, Eyke

Aleatoric and Epistemic Uncertainty with Random Forests Artikel

arXiv:2001.00893 [cs, stat], 2020, (arXiv: 2001.00893).

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Holst, Christoph-Alexander; Lohweg, Volker

Feature fusion to increase the robustness of machine learners in industrial environments Artikel

at - Automatisierungstechnik, 67 (10), S. 853–865, 2019.

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Pfannschmidt, Lukas; Jakob, Jonathan; Biehl, Michael; Tino, Peter; Hammer, Barbara

Feature Relevance Bounds for Ordinal Regression Artikel

arXiv preprint arXiv:1902.07662, 2019.


Brinkrolf, Johannes; Hammer, Barbara

Time integration and reject options for probabilistic output of pairwise LVQ Artikel

Neural Computing and Applications, S. 1–14, 2019.


Bifet, Albert; Hammer, Barbara; Schleif, Frank-Michael

Streaming data analysis, concept drift and analysis of dynamic data sets Artikel

Proc. European Symposium on Artificial Neural Networks, 2019.


Göpfert, Christina; Ben-David, Shai; Bousquet, Olivier; Gelly, Sylvain; Tolstikhin, Ilya; Urner, Ruth

When can unlabeled data improve the learning rate? Artikel

arXiv preprint arXiv:1905.11866, 2019.


Eiteneuer, Benedikt; Hranisavljevic, Nemanja; Niggemann, Oliver

Dimensionality Reduction and Anomaly Detection for CPPS Data using Autoencoder. Artikel

International Conference on Industrial Technology, 2019.


Pfannschmidt, Lukas; Jakob, Jonathan; Hinder, Fabian; Biehl, Michael; Tino, Peter; Hammer, Barbara

Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information Artikel

arXiv:1912.04832 [cs, stat], 2019, (arXiv: 1912.04832).

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