Tim Voigt
10 Publikationen
2022 | Konferenzbeitrag | FH-PUB-ID: 2232
T. Voigt, M. Schöne, M. Kohlhase, O. Nelles, and M. Kuhn, “Using Design of Experiments to Support the Commissioning of Industrial Assembly Processes,” in Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings, Manchester, UK, 2022, pp. 379–390.
HSBI-PUB
| DOI
2022 | Buchbeitrag | FH-PUB-ID: 2291 | 
M. Hanitz, M. Schöne, T. Voigt, and M. Kohlhase, “Analysis of the Behavior of Online Decision Trees Under Concept Drift at the Example of FIMT-DD,” in Machine Learning and Data Mining in Pattern Recognition, MLDM 2022, P. Perner, Ed. Leipzig: ibai-publishing, 2022, pp. 121–135.
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2021 | Konferenzbeitrag | FH-PUB-ID: 3718
T. Voigt, M. Schöne, M. Kohlhase, O. Nelles, and M. Kuhn, “Space-Filling Designs for Experiments with Assembled Products,” in 2021 3rd International Conference on Management Science and Industrial Engineering, Osaka Japan, 2021, pp. 192–199.
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2021 | Artikel | FH-PUB-ID: 3717 |
T. Voigt, M. Kohlhase, and O. Nelles, “Incremental DoE and Modeling Methodology with Gaussian Process Regression: An Industrially Applicable Approach to Incorporate Expert Knowledge,” Mathematics, vol. 9, no. 19, 2021.
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2021 | Konferenzbeitrag | FH-PUB-ID: 2572
L. Steinmann, N. Migenda, T. Voigt, M. Kohlhase, and W. Schenck, “Variational Autoencoder based Novelty Detection for Real-World Time Series,” in 2021 3rd International Conference on Management Science and Industrial Engineering, Osaka Japan, 2021, pp. 1–7.
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| DOI
2020 | Artikel | FH-PUB-ID: 1368
T. Voigt, M. Kohlhase, and A. Peter, “Bestandsanlagen in der smarten Produktion, Integrationsstrategien anhand eines Praxisbeispiels,” atp magazin, vol. 04, no. 04, pp. 62–69, 2020.
HSBI-PUB
2019 | Konferenzbeitrag | FH-PUB-ID: 1371
T. Voigt, M. Kohlhase, and O. Nelles, “Inkrementelle Modellbildung von statischen Prozessen auf Basis von Latin Hypercube Designs,” in Proceedings - 29. Workshop Computational Intelligence, 2019, pp. 267–288.
HSBI-PUB
2018 | Konferenzbeitrag | FH-PUB-ID: 1369
T. Voigt and M. Kohlhase, “Schätzung von datenbasierten lokal-linearen Modellen auf der Grundlage von LOLIMOT für den systematischen Entwurf von lokal-linearen Zustandsreglern,” in Proceedings - 28. Workshop Computational Intelligence, 2018, pp. 93–111.
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10 Publikationen
2022 | Konferenzbeitrag | FH-PUB-ID: 2232
T. Voigt, M. Schöne, M. Kohlhase, O. Nelles, and M. Kuhn, “Using Design of Experiments to Support the Commissioning of Industrial Assembly Processes,” in Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings, Manchester, UK, 2022, pp. 379–390.
HSBI-PUB
| DOI
2022 | Buchbeitrag | FH-PUB-ID: 2291 |
M. Hanitz, M. Schöne, T. Voigt, and M. Kohlhase, “Analysis of the Behavior of Online Decision Trees Under Concept Drift at the Example of FIMT-DD,” in Machine Learning and Data Mining in Pattern Recognition, MLDM 2022, P. Perner, Ed. Leipzig: ibai-publishing, 2022, pp. 121–135.
HSBI-PUB
| Download (ext.)
2021 | Konferenzbeitrag | FH-PUB-ID: 3718
T. Voigt, M. Schöne, M. Kohlhase, O. Nelles, and M. Kuhn, “Space-Filling Designs for Experiments with Assembled Products,” in 2021 3rd International Conference on Management Science and Industrial Engineering, Osaka Japan, 2021, pp. 192–199.
HSBI-PUB
| DOI
| Download (ext.)
2021 | Artikel | FH-PUB-ID: 3717 |
T. Voigt, M. Kohlhase, and O. Nelles, “Incremental DoE and Modeling Methodology with Gaussian Process Regression: An Industrially Applicable Approach to Incorporate Expert Knowledge,” Mathematics, vol. 9, no. 19, 2021.
HSBI-PUB
| DOI
| Download (ext.)
2021 | Konferenzbeitrag | FH-PUB-ID: 2572
L. Steinmann, N. Migenda, T. Voigt, M. Kohlhase, and W. Schenck, “Variational Autoencoder based Novelty Detection for Real-World Time Series,” in 2021 3rd International Conference on Management Science and Industrial Engineering, Osaka Japan, 2021, pp. 1–7.
HSBI-PUB
| DOI
2020 | Artikel | FH-PUB-ID: 1368
T. Voigt, M. Kohlhase, and A. Peter, “Bestandsanlagen in der smarten Produktion, Integrationsstrategien anhand eines Praxisbeispiels,” atp magazin, vol. 04, no. 04, pp. 62–69, 2020.
HSBI-PUB
2019 | Konferenzbeitrag | FH-PUB-ID: 1371
T. Voigt, M. Kohlhase, and O. Nelles, “Inkrementelle Modellbildung von statischen Prozessen auf Basis von Latin Hypercube Designs,” in Proceedings - 29. Workshop Computational Intelligence, 2019, pp. 267–288.
HSBI-PUB
2018 | Konferenzbeitrag | FH-PUB-ID: 1369
T. Voigt and M. Kohlhase, “Schätzung von datenbasierten lokal-linearen Modellen auf der Grundlage von LOLIMOT für den systematischen Entwurf von lokal-linearen Zustandsreglern,” in Proceedings - 28. Workshop Computational Intelligence, 2018, pp. 93–111.
HSBI-PUB