2020

Tanja Tornede Alexander Tornede, Marcel Wever Felix Mohr Eyke Hüllermeier

AutoML for Predictive Maintenance: One Tool to RUL them all Inproceedings Forthcoming

Forthcoming.

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Braun, Marco; Wrede, Sebastian

Incorporation of Expert Knowledge for Learning Robotic Assembly Tasks Inproceedings

2020 IEEE 25th International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2020, ISBN: 978-1-7281-8956-7.

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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

Neurocomputing, 2020.

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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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Schulz, Alexander; Hinder, Fabian; Hammer, Barbara

DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction Inproceedings

Bessiere, Christian (Hrsg.): Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI-20, S. 2305–2311, International Joint Conferences on Artificial Intelligence Organization, 2020, (Main track).

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Holst, Christoph-Alexander; Lohweg, Volker

A Redundancy Metric based on the Framework of Possibility Theory for Technical Systems Inproceedings Forthcoming

2020 IEEE 25th International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, Forthcoming.

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2019

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

Proc. European Symposium on Artificial Neural Networks, 2019., 2019.

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Brinkrolf, Johannes; Hammer, Barbara

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

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

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

Recent trends in streaming data analysis, concept drift and analysis of dynamic data sets Artikel

Proc. European Symposium on Artificial Neural Networks, 2019.

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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.

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Eiteneuer, Benedikt; Hranisavljevic, Nemanja; Niggemann, Oliver

Dimensionality Reduction and Anomaly Detection for CPPS Data using Autoencoder Artikel

International Conference on Industrial Technology, 2019.

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