11 Publikationen
2026 | Konferenzbeitrag | FH-PUB-ID: 6898 | 
B. Jaster, A. Tharwat, E. M. Sheikh, M. Kohlhase, and W. Schenck, “Low Query Budget Active Learning for Classification and Regression,” in Machine Learning and Principles and Practice of Knowledge Discovery in Databases. International Workshops of ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Revised Selected Papers, Part IV, Porto, Portugal, 2026, pp. 5–21.
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2026 | Artikel | FH-PUB-ID: 6655 |
A. Tharwat, B. Jaster, W. Schenck, and M. Kohlhase, “Active learning evaluation metrics for classification and regression frameworks,” Engineering Applications of Artificial Intelligence, vol. 171, 2026.
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.
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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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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.
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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.
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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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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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11 Publikationen
2026 | Konferenzbeitrag | FH-PUB-ID: 6898 |
B. Jaster, A. Tharwat, E. M. Sheikh, M. Kohlhase, and W. Schenck, “Low Query Budget Active Learning for Classification and Regression,” in Machine Learning and Principles and Practice of Knowledge Discovery in Databases. International Workshops of ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Revised Selected Papers, Part IV, Porto, Portugal, 2026, pp. 5–21.
HSBI-PUB
| DOI
| Download (ext.)
2026 | Artikel | FH-PUB-ID: 6655 |
A. Tharwat, B. Jaster, W. Schenck, and M. Kohlhase, “Active learning evaluation metrics for classification and regression frameworks,” Engineering Applications of Artificial Intelligence, vol. 171, 2026.
HSBI-PUB
| DOI
| Download (ext.)
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
| DOI
| Download (ext.)
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: 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: 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.)
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.)