Marvin Schöne
11 Publikationen
2024 | Konferenzbeitrag | FH-PUB-ID: 5882 | 
Bültemeier, Julian, et al. “Dichte-Skaliertes Optimierungskriterium Für Sliced Latin Hypercube Designs.” Proceedings - 34. Workshop Computational Intelligence: Berlin, 21.-22. November 2024, edited by Horst Schulte et al., KIT Scientific Publishing, 2024, pp. 217–31, doi:10.58895/ksp//1000174544-14.
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2023 | Diskussionspapier | FH-PUB-ID: 3731 |
Kösters, Justus, and Marvin Schöne. Active Learning mit dem GUIDE-Entscheidungsbaum.
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2023 | Diskussionspapier | FH-PUB-ID: 3729 |
Kösters, Justus, et al. Benchmarking of Machine Learning Models for Tabular Scarce Data.
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2022 | Konferenzbeitrag | FH-PUB-ID: 2232
Voigt, Tim, et al. “Using Design of Experiments to Support the Commissioning of Industrial Assembly Processes.” Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings, edited by Hujun Yin et al., Springer International Publishing, 2022, pp. 379–90, doi:10.1007/978-3-031-21753-1_37.
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2022 | Buchbeitrag | FH-PUB-ID: 2291 |
Hanitz, Marcel, et al. “Analysis of the Behavior of Online Decision Trees Under Concept Drift at the Example of FIMT-DD.” Machine Learning and Data Mining in Pattern Recognition, MLDM 2022, edited by Petra Perner, ibai-publishing, 2022, pp. 121–35.
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2021 | Konferenzbeitrag | FH-PUB-ID: 1912
Schöne, Marvin, and Martin Kohlhase. “Curvature-Oriented Splitting for Multivariate Model Trees.” 2021 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2021, pp. 01–09, doi:10.1109/SSCI50451.2021.9659858.
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2021 | Konferenzbeitrag | FH-PUB-ID: 1560 |
Ewerszumrode, Jan, et al. “Assistenzsystem zur Qualitätssicherung von IoT-Geräten basierend auf AutoML und SHAP.” Proceedings - 31. Workshop Computational Intelligence , edited by Horst Schulte et al., KIT Scientific Publishing, 2021, pp. 285–305, doi:10.5445/KSP/1000138532.
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2021 | Konferenzbeitrag | FH-PUB-ID: 3718
Voigt, Tim, et al. “Space-Filling Designs for Experiments with Assembled Products.” 2021 3rd International Conference on Management Science and Industrial Engineering, ACM, 2021, pp. 192–99, doi:10.1145/3460824.3460854.
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2021 | Konferenzbeitrag | FH-PUB-ID: 2571
Voigt, Tim, et al. “Advanced Data Analytics Platform for Manufacturing Companies.” 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), IEEE, 2021, pp. 01–08, doi:10.1109/ETFA45728.2021.9613499.
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2020 | Konferenzbeitrag | FH-PUB-ID: 1916
Schöne, Marvin, and Martin Kohlhase. “Least Squares Approach for Multivariate Split Selection in Regression Trees.” Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I, edited by Cesar Analide et al., Springer International Publishing, 2020, pp. 41–50, doi:10.1007/978-3-030-62362-3_5.
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2020 | Buchbeitrag | FH-PUB-ID: 1915 |
Schöne, Marvin, and Martin Kohlhase. “Least-Squares-Based Construction Algorithm for Oblique and Mixed Regression Trees.” Proceedings - 30. Workshop Computational Intelligence, edited by Horst Schulte et al., KIT Scientific Publishing, 2020, doi:10.5445/KSP/1000124139.
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11 Publikationen
2024 | Konferenzbeitrag | FH-PUB-ID: 5882 |
Bültemeier, Julian, et al. “Dichte-Skaliertes Optimierungskriterium Für Sliced Latin Hypercube Designs.” Proceedings - 34. Workshop Computational Intelligence: Berlin, 21.-22. November 2024, edited by Horst Schulte et al., KIT Scientific Publishing, 2024, pp. 217–31, doi:10.58895/ksp//1000174544-14.
HSBI-PUB
| DOI
| Download (ext.)
2023 | Diskussionspapier | FH-PUB-ID: 3731 |
Kösters, Justus, and Marvin Schöne. Active Learning mit dem GUIDE-Entscheidungsbaum.
HSBI-PUB
| Dateien verfügbar
| Download (ext.)
2023 | Diskussionspapier | FH-PUB-ID: 3729 |
Kösters, Justus, et al. Benchmarking of Machine Learning Models for Tabular Scarce Data.
HSBI-PUB
| Dateien verfügbar
| Download (ext.)
2022 | Konferenzbeitrag | FH-PUB-ID: 2232
Voigt, Tim, et al. “Using Design of Experiments to Support the Commissioning of Industrial Assembly Processes.” Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings, edited by Hujun Yin et al., Springer International Publishing, 2022, pp. 379–90, doi:10.1007/978-3-031-21753-1_37.
HSBI-PUB
| DOI
2022 | Buchbeitrag | FH-PUB-ID: 2291 |
Hanitz, Marcel, et al. “Analysis of the Behavior of Online Decision Trees Under Concept Drift at the Example of FIMT-DD.” Machine Learning and Data Mining in Pattern Recognition, MLDM 2022, edited by Petra Perner, ibai-publishing, 2022, pp. 121–35.
HSBI-PUB
| Download (ext.)
2021 | Konferenzbeitrag | FH-PUB-ID: 1912
Schöne, Marvin, and Martin Kohlhase. “Curvature-Oriented Splitting for Multivariate Model Trees.” 2021 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2021, pp. 01–09, doi:10.1109/SSCI50451.2021.9659858.
HSBI-PUB
| DOI
| Download (ext.)
2021 | Konferenzbeitrag | FH-PUB-ID: 1560 |
Ewerszumrode, Jan, et al. “Assistenzsystem zur Qualitätssicherung von IoT-Geräten basierend auf AutoML und SHAP.” Proceedings - 31. Workshop Computational Intelligence , edited by Horst Schulte et al., KIT Scientific Publishing, 2021, pp. 285–305, doi:10.5445/KSP/1000138532.
HSBI-PUB
| DOI
| Download (ext.)
2021 | Konferenzbeitrag | FH-PUB-ID: 3718
Voigt, Tim, et al. “Space-Filling Designs for Experiments with Assembled Products.” 2021 3rd International Conference on Management Science and Industrial Engineering, ACM, 2021, pp. 192–99, doi:10.1145/3460824.3460854.
HSBI-PUB
| DOI
| Download (ext.)
2021 | Konferenzbeitrag | FH-PUB-ID: 2571
Voigt, Tim, et al. “Advanced Data Analytics Platform for Manufacturing Companies.” 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), IEEE, 2021, pp. 01–08, doi:10.1109/ETFA45728.2021.9613499.
HSBI-PUB
| DOI
2020 | Konferenzbeitrag | FH-PUB-ID: 1916
Schöne, Marvin, and Martin Kohlhase. “Least Squares Approach for Multivariate Split Selection in Regression Trees.” Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I, edited by Cesar Analide et al., Springer International Publishing, 2020, pp. 41–50, doi:10.1007/978-3-030-62362-3_5.
HSBI-PUB
| DOI
| Download (ext.)
2020 | Buchbeitrag | FH-PUB-ID: 1915 |
Schöne, Marvin, and Martin Kohlhase. “Least-Squares-Based Construction Algorithm for Oblique and Mixed Regression Trees.” Proceedings - 30. Workshop Computational Intelligence, edited by Horst Schulte et al., KIT Scientific Publishing, 2020, doi:10.5445/KSP/1000124139.
HSBI-PUB
| DOI
| Download (ext.)