2021

Pfeifer, Anton; Lohweg, Volker

Classification of Faults in Cyber-Physical Systems with Complex-Valued Neural Networks Konferenzbeitrag

In: 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2021.

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Schmidt, Malte; Lohweg, Volker

Interval-based Interpretable Decision Tree for Time Series Classification Konferenzbeitrag

In: Schulte, Horst; Hoffmann, Frank; Mikut, Ralf (Hrsg.): Proceedings - 31. Workshop Computational Intelligence, S. 91–111, KIT Scientific Publishing, 2021.

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Gopfert, Jan Philip; Kuhl, Ulrike; Hindemith, Lukas; Wersing, Heiko; Hammer, Barbara

Intuitiveness in Active Teaching Artikel

In: IEEE Transactions on Human-Machine Systems, S. 1–10, 2021, ISSN: 2168-2291, 2168-2305.

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Kuhl, Ulrike; Sobotta, Sarah; and Michael A Skeide,

Mathematical learning deficits originate in early childhood from atypical development of a frontoparietal brain network Artikel

In: PLoS Biol, 19 (9), S. e3001407, 2021, ISSN: 1545-7885.

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Tornede, Tanja; Tornede, Alexander; Wever, Marcel; Hüllermeier, Eyke

Coevolution of remaining useful lifetime estimation pipelines for automated predictive maintenance Konferenzbeitrag

In: GECCO '21: Genetic and Evolutionary Computation Conference, Lille, France, July 10-14, 2021, S. 368–376, ACM, 2021.

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Shah, Zafran Hussain; Müller, Marcel; Wang, Tung-Cheng; Scheidig, Philip Maurice; Schneider, Axel; Schüttpelz, Mark; Huser, Thomas; Schenck, Wolfram

Deep-learning based denoising and reconstruction of super-resolution structured illumination microscopy images Artikel

In: Photonics Research, 9 (5), S. B168–B181, 2021.

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Holst, Christoph-Alexander; Lohweg, Volker

A Redundancy Metric Set within Possibility Theory for Multi-Sensor Systems Artikel

In: Sensors, 21 (7), 2021.

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Kummert, Johannes; Schulz, Alexander; Redick, Tim; Ayoub, Nassim; Modabber, Ali; Abel, Dirk; Hammer, Barbara

Efficient Reject Options for Particle Filter Object Tracking in Medical Applications Artikel

In: Sensors, 21 (6), S. 2114, 2021.

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2020

Holst, Christoph-Alexander; Lohweg, Volker

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

In: 2020 IEEE 25th International Conference on Emerging Technologies and Factory Automation (ETFA), S. 1571-1578, IEEE, 2020.

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Tornede, Tanja; Tornede, Alexander; Wever, Marcel; Mohr, Felix; Hüllermeier, Eyke

AutoML for Predictive Maintenance: One Tool to RUL Them All Konferenzbeitrag

In: Gama, João; Pashami, Sepideh; Bifet, Albert; Mouchaweh, Moamar Sayed; Fröning, Holger; Pernkopf, Franz; Schiele, Gregor; Blott, Michaela (Hrsg.): IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning - Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers, S. 106–118, Springer, 2020.

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Braun, Marco; Wrede, Sebastian

Incorporation of Expert Knowledge for Learning Robotic Assembly Tasks Konferenzbeitrag

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

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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 Konferenzbeitrag

In: 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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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

In: Neurocomputing, 2020.

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Shaker, Mohammad Hossein; Hüllermeier, Eyke

Aleatoric and Epistemic Uncertainty with Random Forests Artikel

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

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2019

Holst, Christoph-Alexander; Lohweg, Volker

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

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

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Eiteneuer, Benedikt; Hranisavljevic, Nemanja; Niggemann, Oliver

Dimensionality Reduction and Anomaly Detection for CPPS Data using Autoencoder Artikel

In: International Conference on Industrial Technology, 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

In: arXiv preprint arXiv:1905.11866, 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

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

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

Feature Relevance Bounds for Ordinal Regression Artikel

In: 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

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

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