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10 Publikationen

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[10]
2022 | Konferenzbeitrag | FH-PUB-ID: 2232
Voigt, Tim, Marvin Schöne, Martin Kohlhase, Oliver Nelles, and Martin 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, edited by Hujun Yin, David Camacho, and Peter Tino, 379–90. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-21753-1_37.
HSBI-PUB | DOI
 
[9]
2022 | Buchbeitrag | FH-PUB-ID: 2291 | OA
Hanitz, Marcel, Marvin Schöne, Tim Voigt, and Martin 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, edited by Petra Perner, 121–35. Leipzig: ibai-publishing, 2022.
HSBI-PUB | Download (ext.)
 
[8]
2021 | Konferenzbeitrag | FH-PUB-ID: 3718
Voigt, Tim, Marvin Schöne, Martin Kohlhase, Oliver Nelles, and Martin Kuhn. “Space-Filling Designs for Experiments with Assembled Products.” In 2021 3rd International Conference on Management Science and Industrial Engineering, 192–99. New York, NY, USA: ACM, 2021. https://doi.org/10.1145/3460824.3460854.
HSBI-PUB | DOI | Download (ext.)
 
[7]
2021 | Artikel | FH-PUB-ID: 3717 | OA
Voigt, Tim, Martin Kohlhase, and Oliver Nelles. “Incremental DoE and Modeling Methodology with Gaussian Process Regression: An Industrially Applicable Approach to Incorporate Expert Knowledge.” Mathematics 9, no. 19 (2021). https://doi.org/10.3390/math9192479.
HSBI-PUB | DOI | Download (ext.)
 
[6]
2021 | Konferenzbeitrag | FH-PUB-ID: 2571
Voigt, Tim, Nico Migenda, Marvin Schöne, David Pelkmann, Matthias Fricke, Wolfram Schenck, and Martin Kohlhase. “Advanced Data Analytics Platform for Manufacturing Companies.” In 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), 01–08. IEEE, 2021. https://doi.org/10.1109/ETFA45728.2021.9613499.
HSBI-PUB | DOI
 
[5]
2021 | Konferenzbeitrag | FH-PUB-ID: 2572
Steinmann, Luca, Nico Migenda, Tim Voigt, Martin Kohlhase, and Wolfram Schenck. “Variational Autoencoder Based Novelty Detection for Real-World Time Series.” In 2021 3rd International Conference on Management Science and Industrial Engineering, 1–7. New York, NY, USA: ACM, 2021. https://doi.org/10.1145/3460824.3460825.
HSBI-PUB | DOI
 
[4]
2020 | Konferenzbeitrag | FH-PUB-ID: 1367
Voigt, Tim, Martin Kohlhase, and Oliver Nelles. “Incremental Latin Hypercube Additive Design for LOLIMOT.” In 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 1602–9. IEEE, 2020. https://doi.org/10.1109/ETFA46521.2020.9212173.
HSBI-PUB | DOI
 
[3]
2020 | Artikel | FH-PUB-ID: 1368
Voigt, Tim, Martin Kohlhase, and Armin Peter. “Bestandsanlagen in der smarten Produktion, Integrationsstrategien anhand eines Praxisbeispiels.” atp magazin 04, no. 04 (2020): 62–69.
HSBI-PUB
 
[2]
2019 | Konferenzbeitrag | FH-PUB-ID: 1371
Voigt, Tim, Martin Kohlhase, and Oliver Nelles. “Inkrementelle Modellbildung von statischen Prozessen auf Basis von Latin Hypercube Designs.” In Proceedings - 29. Workshop Computational Intelligence, 267–88. KIT Scientific Publishing, Karlsruhe, 2019.
HSBI-PUB
 
[1]
2018 | Konferenzbeitrag | FH-PUB-ID: 1369
Voigt, Tim, and Martin 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, 93–111. KIT Scientific Publishing, Karlsruhe, 2018.
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10 Publikationen

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[10]
2022 | Konferenzbeitrag | FH-PUB-ID: 2232
Voigt, Tim, Marvin Schöne, Martin Kohlhase, Oliver Nelles, and Martin 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, edited by Hujun Yin, David Camacho, and Peter Tino, 379–90. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-21753-1_37.
HSBI-PUB | DOI
 
[9]
2022 | Buchbeitrag | FH-PUB-ID: 2291 | OA
Hanitz, Marcel, Marvin Schöne, Tim Voigt, and Martin 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, edited by Petra Perner, 121–35. Leipzig: ibai-publishing, 2022.
HSBI-PUB | Download (ext.)
 
[8]
2021 | Konferenzbeitrag | FH-PUB-ID: 3718
Voigt, Tim, Marvin Schöne, Martin Kohlhase, Oliver Nelles, and Martin Kuhn. “Space-Filling Designs for Experiments with Assembled Products.” In 2021 3rd International Conference on Management Science and Industrial Engineering, 192–99. New York, NY, USA: ACM, 2021. https://doi.org/10.1145/3460824.3460854.
HSBI-PUB | DOI | Download (ext.)
 
[7]
2021 | Artikel | FH-PUB-ID: 3717 | OA
Voigt, Tim, Martin Kohlhase, and Oliver Nelles. “Incremental DoE and Modeling Methodology with Gaussian Process Regression: An Industrially Applicable Approach to Incorporate Expert Knowledge.” Mathematics 9, no. 19 (2021). https://doi.org/10.3390/math9192479.
HSBI-PUB | DOI | Download (ext.)
 
[6]
2021 | Konferenzbeitrag | FH-PUB-ID: 2571
Voigt, Tim, Nico Migenda, Marvin Schöne, David Pelkmann, Matthias Fricke, Wolfram Schenck, and Martin Kohlhase. “Advanced Data Analytics Platform for Manufacturing Companies.” In 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), 01–08. IEEE, 2021. https://doi.org/10.1109/ETFA45728.2021.9613499.
HSBI-PUB | DOI
 
[5]
2021 | Konferenzbeitrag | FH-PUB-ID: 2572
Steinmann, Luca, Nico Migenda, Tim Voigt, Martin Kohlhase, and Wolfram Schenck. “Variational Autoencoder Based Novelty Detection for Real-World Time Series.” In 2021 3rd International Conference on Management Science and Industrial Engineering, 1–7. New York, NY, USA: ACM, 2021. https://doi.org/10.1145/3460824.3460825.
HSBI-PUB | DOI
 
[4]
2020 | Konferenzbeitrag | FH-PUB-ID: 1367
Voigt, Tim, Martin Kohlhase, and Oliver Nelles. “Incremental Latin Hypercube Additive Design for LOLIMOT.” In 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 1602–9. IEEE, 2020. https://doi.org/10.1109/ETFA46521.2020.9212173.
HSBI-PUB | DOI
 
[3]
2020 | Artikel | FH-PUB-ID: 1368
Voigt, Tim, Martin Kohlhase, and Armin Peter. “Bestandsanlagen in der smarten Produktion, Integrationsstrategien anhand eines Praxisbeispiels.” atp magazin 04, no. 04 (2020): 62–69.
HSBI-PUB
 
[2]
2019 | Konferenzbeitrag | FH-PUB-ID: 1371
Voigt, Tim, Martin Kohlhase, and Oliver Nelles. “Inkrementelle Modellbildung von statischen Prozessen auf Basis von Latin Hypercube Designs.” In Proceedings - 29. Workshop Computational Intelligence, 267–88. KIT Scientific Publishing, Karlsruhe, 2019.
HSBI-PUB
 
[1]
2018 | Konferenzbeitrag | FH-PUB-ID: 1369
Voigt, Tim, and Martin 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, 93–111. KIT Scientific Publishing, Karlsruhe, 2018.
HSBI-PUB
 

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Zitationsstil: Chicago

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