2022

Grimmelsmann, Nils; Mechtenberg, Malte; Meyer, Hanno G.; Schenck, Wolfram; Schneider, Axel

Subject independent, universal parameter determination of a musculoskeletal elbow joint model for sEMG-based movement prediction Artikel Geplante Veröffentlichung

In: Bioinspiration and Biomimetics, Geplante Veröffentlichung, (in prep).

BibTeX

Leserri, David; Grimmelsmann, Nils; Mechtenberg, Malte; Meyer, Hanno G.; Schneider, Axel

Evaluation of sEMG signal features and segmentation parameters for limb movement prediction using a feedforward neural network. Artikel

In: MDPI Mathematics, Special Issue on Machine Learning for Technical Systems, 2022, ISSN: 2227-7390, (accepted).

BibTeX

Mechtenberg, Malte; Grimmelsmann, Nils; Meyer, Hanno G.; Schneider, Axel

Manual and semi-automatic determination of elbow angle-independent parameters for a model of the biceps brachii distal tendon based on ultrasonic imaging Artikel

In: PLOS ONE, 2022, (submitted).

BibTeX

Shah, Zafran Hussain; Müller, Marcel; Hammer, Barbara; Huser, Thomas; Schenck, Wolfram

Impact of different loss functions on denoising microscopic images Konferenz

2022 International Joint Conference on Neural Networks, 2022, (submitted).

BibTeX

Vandevoorde, Koenraad; Vollenkemper, Lukas; Schwan, Constanze; Kohlhase, Martin; Schenck, Wolfram

Using artificial intelligence for assistive systems to bring motor learning principles into real-world motor tasks. Artikel

In: Sensors, 2022, (submitted).

BibTeX

Holst, Christoph-Alexander; Lohweg, Volker

Designing Possibilistic Information Fusion - The Importance of Associativity, Consistency, and Redundancy Artikel

In: Metrology, Bd. 2, Nr. 1, 2022, (submitted).

Abstract | BibTeX

Kuhl, Ulrike; Artelt, André; Hammer, Barbara

Introducing the AlienZoo: an Experimental Framework for Empirical Investigations of Counterfactual Explanations for Machine Learning. Artikel Geplante Veröffentlichung

In: Geplante Veröffentlichung, (in prep.).

BibTeX

Kuhl, Ulrike; Artelt, André; Hammer, Barbara

Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting Konferenz

2022 ACM Conference on Fairness, Accountability, and Transparency., 2022, (submitted).

BibTeX

Kummert, Johannes; Schulz, Alexander; Hammer, Barbara

Metric Learning with Self Adjusting Memory for Explaining Feature Drift Artikel

In: SNCS S.I. Computational Intellignece, 2022, (submitted).

BibTeX

Nguyen, Vu-Linh; Shaker, Mohammad Hossein; Hüllermeier, Eyke

How to measure uncertainty in uncertainty sampling for active learning Artikel

In: Machine Learning, Bd. 111, Nr. 1, S. 89–122, 2022.

Abstract | Links | BibTeX

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.

Abstract | Links | BibTeX

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.

Abstract | Links | BibTeX

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

Towards Green Automated Machine Learning: Status Quo and Future Directions Artikel

In: CoRR, Bd. abs/2111.05850, 2021.

Abstract | Links | BibTeX

Braun, Marco; Wrede, Sebastian

Combining Manipulation Primitive Nets and Policy Gradient Methods for Learning Robotic Assembly Tasks Konferenzbeitrag

In: Proceedings of the DGR Days 2021, 2021.

Abstract | Links | BibTeX

Buckermann, Florian; Klement, Nils; Beyer, Oliver; Hütten, Andreas; Hammer, Barbara

Automating the optical identification of abrasive wear on electrical contact pins Artikel

In: Autom., Bd. 69, Nr. 10, S. 903–914, 2021.

Abstract | Links | BibTeX

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, Bd. 19, Nr. 9, S. e3001407, 2021, ISSN: 1545-7885.

Abstract | Links | BibTeX

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.

Abstract | Links | BibTeX

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, Bd. 9, Nr. 5, S. B168–B181, 2021.

Abstract | Links | BibTeX

Holst, Christoph-Alexander; Lohweg, Volker

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

In: Sensors, Bd. 21, Nr. 7, 2021.

Abstract | Links | BibTeX

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, Bd. 21, Nr. 6, S. 2114, 2021.

Abstract | Links | BibTeX

Buckermann, Florian; Klement, Nils; Beyer, Oliver; Hütten, Andreas; Hammer, Barbara

Automating the optical identification of abrasive wear on electrical contact pins Artikel

In: Autom., Bd. 69, Nr. 10, S. 903–914, 2021.

Links | BibTeX

2020

Brinkrolf, Johannes; Hammer, Barbara

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

In: Neural Computing and Applications, Bd. 32, Nr. 24, S. 18009–18022, 2020.

Abstract | Links | BibTeX

Hinder, Fabian; Artelt, André; Hammer, Barbara

Towards Non-Parametric Drift Detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD) Konferenzbeitrag

In: Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event, S. 4249–4259, PMLR, 2020.

Abstract | Links | BibTeX

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.

Abstract | Links | BibTeX

Brinkrolf, Johannes; Hammer, Barbara

Sparse Metric Learning in Prototype-based Classification Konferenzbeitrag

In: 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2020, Bruges, Belgium, October 2-4, 2020, S. 375–380, 2020.

Abstract | Links | BibTeX

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.

Abstract | Links | BibTeX

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.

Abstract | Links | BibTeX

Hinder, Fabian; Kummert, Johannes; Hammer, Barbara

Explaining Concept Drift by Mean of Direction Konferenzbeitrag

In: Farkas, Igor; Masulli, Paolo; Wermter, Stefan (Hrsg.): Artificial Neural Networks and Machine Learning - ICANN 2020 - 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part I, S. 379–390, Springer, 2020.

Abstract | Links | BibTeX

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).

Abstract | Links | BibTeX

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.

Abstract | Links | BibTeX

Shaker, Mohammad Hossein; Hüllermeier, Eyke

Aleatoric and Epistemic Uncertainty with Random Forests Artikel

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

Abstract | Links | BibTeX

2019

Holst, Christoph-Alexander; Lohweg, Volker

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

In: at - Automatisierungstechnik, Bd. 67, Nr. 10, S. 853–865, 2019.

Abstract | Links | BibTeX

Eiteneuer, Benedikt; Hranisavljevic, Nemanja; Niggemann, Oliver

Dimensionality Reduction and Anomaly Detection for CPPS Data using Autoencoder Artikel

In: International Conference on Industrial Technology, 2019.

Abstract | Links | BibTeX

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.

Abstract | Links | BibTeX

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.

Abstract | Links | BibTeX

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.

Abstract | Links | BibTeX

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.

Abstract | Links | BibTeX