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Publications

On this page the institutional bibliography and open access repository can be searched. Browse by research area or use the search field and advanced search to discover relevant research outputs. Publications published prior to 2000 may be missing. To find specific authors we recommend the Person Index.

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  1. Machine learning pipeline for Structure–Property modeling in Mg-alloys using microstructure and texture descriptors

    Guru, M. K., Bohlen, J., Aydin, R. C. & Khalifa, N. B., 15.08.2025, In: Acta Materialia. 295, 121132.

    Research output: Journal contributions › Journal articles › Research › peer-review

  2. Machine Learning in Manufacturing towards Industry 4.0: From ‘For Now’ to ‘Four-Know’

    Chen, T., Sampath, V., May, M. C., Shan, S., Jorg, O. J., Aguilar Martín, J. J., Stamer, F., Fantoni, G., Tosello, G. & Calaon, M., 02.2023, In: Applied Sciences (Switzerland). 13, 3, 32 p., 1903.

    Research output: Journal contributions › Journal articles › Research › peer-review

  3. Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data

    Hoogendoorn, M. & Funk, B., 2018, 1 ed. Cham: Springer International Publishing. 231 p. (Cognitive Systems Monograph; vol. 35)

    Research output: Books and anthologies › Monographs › Research › peer-review

  4. Machine Learning for Sales Forecasting in Industrial Environments: A Systematic Literature Review of Input Factors and Applied Methods

    Wolter, F., Prieß, J., Rösler, V., Rokoss, A. & Stamer, F., 2026, (Accepted/In press) Production at the Leading Edge of Technology - Proceedings of the 15th Congress of the German Academic Association for Production Technology (WGP). Springer

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  5. Machine learning for optimization of energy and plastic consumption in the production of thermoplastic parts in SME

    Willenbacher, M., Scholten, J. & Wohlgemuth, V., 16.06.2021, In: Sustainability. 13, 12, 20 p., 6800.

    Research output: Journal contributions › Journal articles › Research › peer-review

  6. Machine Learning For Determining Planned Order Lead Times In Job Shop Production: A Systematic Review Of Input Factors And Applied Methods

    Wolter, F., Rokoss, A. & Schmidt, M., 2025, Conference on Production Systems and Logistics: University of San Ignacio de Loyola Lima, Peru, 18th – 21th March 2025, Proceedings. Herberger, D. & Hübner, M. (eds.). Offenburg: publish-Ing., p. 374-384 11 p. 32. (Proceedings of the ... Conference on Production Systems and Logistics; no. 7).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  7. Machine Learning Applications in Convective Turbulence

    Kräuter, R., Krasnov, D., Pandey, A., Schneide, C., Padberg-Gehle, K., Giannakis, D., Sreenivasan, K. R. & Schumacher, J., 2020, NIC Symposium 2020: 27 − 28 February 2020, Jülich, Germany, Proceedings. Müller, M., Binder, K. & Trauntmann, A. (eds.). Jülich: Forschungszentrum Jülich , p. 357-366 10 p. (Publication Series of the John von Neumann Institute for Computing (NIC); vol. 50).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research

  8. Machine Learning Applications

    Arndt, N., Molitor, P. & Usbeck, R., 27.08.2023, In: IT - Information Technology. 65, 4-5, p. 139-141 3 p.

    Research output: Journal contributions › Other (editorial matter etc.) › Research

  9. Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II

    Brefeld, U. (Editor), Fromont, E. (Editor), Hotho, A. (Editor), Knobbe, A. (Editor), Maathuis, M. (Editor) & Robardet, C. (Editor), 2020, Cham: Springer Nature Switzerland AG. 732 p. (Lecture notes in computer science; vol. 11906)(Lecture Notes in Artificial Intelligence; vol. 11906)

    Research output: Books and anthologies › Conference proceedings › Research

  10. Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III

    Brefeld, U. (Editor), Fromont, E. (Editor), Hotho, A. (Editor), Knobbe, A. (Editor), Maathuis, M. (Editor) & Robardet, C. (Editor), 2020, Cham: Springer Nature Switzerland AG. 804 p. (Lecture notes in computer science; vol. 11906)(Lecture Notes in Artificial Intelligence; vol. 11906)

    Research output: Books and anthologies › Conference proceedings › Research

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