9 Publikationen
2025 | Konferenzbeitrag | FH-PUB-ID: 5904
M. Schöne, B. Jaster, J. Bültemeier, J. Kösters, C.-A. Holst, and M. Kohlhase, “Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit,” in 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx), Trondheim, Norway, 2025, pp. 1–9.
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2025 | Konferenzbeitrag | FH-PUB-ID: 6049 | 
M. Schöne, B. Jaster, J. Bültemeier, J. Kösters, C.-A. Holst, and M. Kohlhase, “Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit,” in 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx), Trondheim, Norway, 2025, pp. 1–9.
HSBI-PUB
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2025 | Konferenzbeitrag | FH-PUB-ID: 5905
B. Jaster and M. Kohlhase, “Trust Issues in Active Learning and Their Impact on Real-World Applications,” in 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion), Trondheim, Norway, 2025, pp. 1–5.
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2025 | Konferenzbeitrag | FH-PUB-ID: 6045 |
B. Jaster and M. Kohlhase, “Trust Issues in Active Learning and Their Impact on Real-World Applications,” in 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion), Trondheim, Norway, 2025, pp. 1–5.
HSBI-PUB
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2025 | Konferenzbeitrag | FH-PUB-ID: 6267
J. Bültemeier, C.-A. Holst, V. Lohweg, M. Schöne, B. Jaster, and M. Kohlhase, “AI Workflow for Scarce Data: A Modular Approach to Optimise Processes,” in 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA), Porto, Portugal, 2025, pp. 1–4.
HSBI-PUB
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2025 | Buchbeitrag | FH-PUB-ID: 6273 |
M. Schöne, B. Jaster, J. Bültemeier, and M. Kohlhase, “Informed Active Learning with Decision Trees to Balance Exploration and Exploitation,” in Kongress KI@HSBI2025 Zukunft im Fokus – Posterbeiträge, vol. 2, Institute for Data Science Solutions, Ed. Bielefeld: Hochschule Bielefeld, 2025, pp. 26–27.
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2024 | Artikel | FH-PUB-ID: 6299 |
V. Katter, B. Jaster, and M. Schöne, “Evaluierung der Leistungsfähigkeit von LSTM-Modellen für die Approximation physikalischer Systeme ,” Schriftenreihe des Institute for Data Science Solutions, vol. 2, 2024.
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2023 | Konferenzbeitrag | FH-PUB-ID: 3713 |
B. Jaster and M. Kohlhase, “Active Learning for Regression Problems with Ensemble Methods,” in Proceedings - 33. Workshop Computational Intelligence, Berlin, 2023, pp. 9–29.
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2021 | Artikel | FH-PUB-ID: 6498 |
W. H. Guss et al., “Towards robust and domain agnostic reinforcement learning competitions,” arXiv, 2021.
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9 Publikationen
2025 | Konferenzbeitrag | FH-PUB-ID: 5904
M. Schöne, B. Jaster, J. Bültemeier, J. Kösters, C.-A. Holst, and M. Kohlhase, “Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit,” in 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx), Trondheim, Norway, 2025, pp. 1–9.
HSBI-PUB
| DOI
| Download (ext.)
2025 | Konferenzbeitrag | FH-PUB-ID: 6049 |
M. Schöne, B. Jaster, J. Bültemeier, J. Kösters, C.-A. Holst, and M. Kohlhase, “Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit,” in 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx), Trondheim, Norway, 2025, pp. 1–9.
HSBI-PUB
| Dateien verfügbar
| DOI
2025 | Konferenzbeitrag | FH-PUB-ID: 5905
B. Jaster and M. Kohlhase, “Trust Issues in Active Learning and Their Impact on Real-World Applications,” in 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion), Trondheim, Norway, 2025, pp. 1–5.
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2025 | Konferenzbeitrag | FH-PUB-ID: 6045 |
B. Jaster and M. Kohlhase, “Trust Issues in Active Learning and Their Impact on Real-World Applications,” in 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion), Trondheim, Norway, 2025, pp. 1–5.
HSBI-PUB
| Dateien verfügbar
| DOI
2025 | Konferenzbeitrag | FH-PUB-ID: 6267
J. Bültemeier, C.-A. Holst, V. Lohweg, M. Schöne, B. Jaster, and M. Kohlhase, “AI Workflow for Scarce Data: A Modular Approach to Optimise Processes,” in 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA), Porto, Portugal, 2025, pp. 1–4.
HSBI-PUB
| DOI
2025 | Buchbeitrag | FH-PUB-ID: 6273 |
M. Schöne, B. Jaster, J. Bültemeier, and M. Kohlhase, “Informed Active Learning with Decision Trees to Balance Exploration and Exploitation,” in Kongress KI@HSBI2025 Zukunft im Fokus – Posterbeiträge, vol. 2, Institute for Data Science Solutions, Ed. Bielefeld: Hochschule Bielefeld, 2025, pp. 26–27.
HSBI-PUB
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| Download (ext.)
2024 | Artikel | FH-PUB-ID: 6299 |
V. Katter, B. Jaster, and M. Schöne, “Evaluierung der Leistungsfähigkeit von LSTM-Modellen für die Approximation physikalischer Systeme ,” Schriftenreihe des Institute for Data Science Solutions, vol. 2, 2024.
HSBI-PUB
| DOI
| Download (ext.)
2023 | Konferenzbeitrag | FH-PUB-ID: 3713 |
B. Jaster and M. Kohlhase, “Active Learning for Regression Problems with Ensemble Methods,” in Proceedings - 33. Workshop Computational Intelligence, Berlin, 2023, pp. 9–29.
HSBI-PUB
| DOI
| Download (ext.)
2021 | Artikel | FH-PUB-ID: 6498 |
W. H. Guss et al., “Towards robust and domain agnostic reinforcement learning competitions,” arXiv, 2021.
HSBI-PUB
| DOI
| Download (ext.)