11 Publikationen
2026 | Konferenzbeitrag | FH-PUB-ID: 6898 | 
Jaster, Bjarne, Alaa Tharwat, Eiram Mahera Sheikh, Martin Kohlhase, and Wolfram 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, edited by Irena Koprinska, João Mendes-Moreira, and Paula Branco, 5–21. Communications in Computer and Information Science. Cham: Springer Nature Switzerland, 2026. https://doi.org/10.1007/978-3-032-19105-2_1.
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2026 | Artikel | FH-PUB-ID: 6655 |
Tharwat, Alaa, Bjarne Jaster, Wolfram Schenck, and Martin Kohlhase. “Active Learning Evaluation Metrics for Classification and Regression Frameworks.” Engineering Applications of Artificial Intelligence 171 (2026). https://doi.org/10.1016/j.engappai.2026.114295.
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2025 | Konferenzbeitrag | FH-PUB-ID: 6267
Bültemeier, Julian, Christoph-Alexander Holst, Volker Lohweg, Marvin Schöne, Bjarne Jaster, and Martin 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), 1–4. IEEE, 2025. https://doi.org/10.1109/ETFA65518.2025.11205664.
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2025 | Buchbeitrag | FH-PUB-ID: 6273 |
Schöne, Marvin, Bjarne Jaster, Julian Bültemeier, and Martin Kohlhase. “Informed Active Learning with Decision Trees to Balance Exploration and Exploitation.” In Kongress KI@HSBI2025 Zukunft Im Fokus – Posterbeiträge, edited by Institute for Data Science Solutions, 2:26–27. Schriftenreihe Des Institute for Data Science Solutions. Bielefeld: Hochschule Bielefeld, 2025. https://doi.org/10.60802/sidas.2025.2.
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2025 | Konferenzbeitrag | FH-PUB-ID: 5905
Jaster, Bjarne, and Martin 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), edited by IEEE, 1–5. IEEE, 2025. https://doi.org/10.1109/CITRExCompanion65208.2025.10981492.
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2025 | Konferenzbeitrag | FH-PUB-ID: 6045 |
Jaster, Bjarne, and Martin 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), edited by IEEE, 1–5. IEEE, 2025. https://doi.org/10.57720/6045.
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2025 | Konferenzbeitrag | FH-PUB-ID: 6049 |
Schöne, Marvin, Bjarne Jaster, Julian Bültemeier, Justus Kösters, Christoph-Alexander Holst, and Martin 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), edited by IEEE, 1–9. IEEE, 2025. https://doi.org/10.57720/6049.
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2025 | Konferenzbeitrag | FH-PUB-ID: 5904
Schöne, Marvin, Bjarne Jaster, Julian Bültemeier, Justus Kösters, Christoph-Alexander Holst, and Martin 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), edited by IEEE, 1–9. IEEE, 2025. https://doi.org/10.1109/CITREx64975.2025.10974940.
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2024 | Artikel | FH-PUB-ID: 6299 |
Katter, Vincent, Bjarne Jaster, and Marvin Schöne. “Evaluierung der Leistungsfähigkeit von LSTM-Modellen für die Approximation physikalischer Systeme .” Schriftenreihe des Institute for Data Science Solutions 2 (2024). https://doi.org/10.60802/SIDAS.2024.2.
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2023 | Konferenzbeitrag | FH-PUB-ID: 3713 |
Jaster, Bjarne, and Martin Kohlhase. “Active Learning for Regression Problems with Ensemble Methods.” In Proceedings - 33. Workshop Computational Intelligence, edited by Horst Schulte, Frank Hoffmann, and Ralf Mikut, 9–29. Karlsruher Institut für Technologie (KIT), 2023. https://doi.org/10.5445/KSP/1000162754.
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2021 | Artikel | FH-PUB-ID: 6498 |
Guss, William Hebgen, Stephanie Milani, Nicholay Topin, Brandon Houghton, Sharada Mohanty, Andrew Melnik, Augustin Harter, et al. “Towards Robust and Domain Agnostic Reinforcement Learning Competitions.” ArXiv, 2021. https://doi.org/10.48550/ARXIV.2106.03748.
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11 Publikationen
2026 | Konferenzbeitrag | FH-PUB-ID: 6898 |
Jaster, Bjarne, Alaa Tharwat, Eiram Mahera Sheikh, Martin Kohlhase, and Wolfram 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, edited by Irena Koprinska, João Mendes-Moreira, and Paula Branco, 5–21. Communications in Computer and Information Science. Cham: Springer Nature Switzerland, 2026. https://doi.org/10.1007/978-3-032-19105-2_1.
HSBI-PUB
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| Download (ext.)
2026 | Artikel | FH-PUB-ID: 6655 |
Tharwat, Alaa, Bjarne Jaster, Wolfram Schenck, and Martin Kohlhase. “Active Learning Evaluation Metrics for Classification and Regression Frameworks.” Engineering Applications of Artificial Intelligence 171 (2026). https://doi.org/10.1016/j.engappai.2026.114295.
HSBI-PUB
| DOI
| Download (ext.)
2025 | Konferenzbeitrag | FH-PUB-ID: 6267
Bültemeier, Julian, Christoph-Alexander Holst, Volker Lohweg, Marvin Schöne, Bjarne Jaster, and Martin 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), 1–4. IEEE, 2025. https://doi.org/10.1109/ETFA65518.2025.11205664.
HSBI-PUB
| DOI
2025 | Buchbeitrag | FH-PUB-ID: 6273 |
Schöne, Marvin, Bjarne Jaster, Julian Bültemeier, and Martin Kohlhase. “Informed Active Learning with Decision Trees to Balance Exploration and Exploitation.” In Kongress KI@HSBI2025 Zukunft Im Fokus – Posterbeiträge, edited by Institute for Data Science Solutions, 2:26–27. Schriftenreihe Des Institute for Data Science Solutions. Bielefeld: Hochschule Bielefeld, 2025. https://doi.org/10.60802/sidas.2025.2.
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2025 | Konferenzbeitrag | FH-PUB-ID: 5905
Jaster, Bjarne, and Martin 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), edited by IEEE, 1–5. IEEE, 2025. https://doi.org/10.1109/CITRExCompanion65208.2025.10981492.
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2025 | Konferenzbeitrag | FH-PUB-ID: 6045 |
Jaster, Bjarne, and Martin 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), edited by IEEE, 1–5. IEEE, 2025. https://doi.org/10.57720/6045.
HSBI-PUB
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| DOI
2025 | Konferenzbeitrag | FH-PUB-ID: 6049 |
Schöne, Marvin, Bjarne Jaster, Julian Bültemeier, Justus Kösters, Christoph-Alexander Holst, and Martin 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), edited by IEEE, 1–9. IEEE, 2025. https://doi.org/10.57720/6049.
HSBI-PUB
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| DOI
2025 | Konferenzbeitrag | FH-PUB-ID: 5904
Schöne, Marvin, Bjarne Jaster, Julian Bültemeier, Justus Kösters, Christoph-Alexander Holst, and Martin 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), edited by IEEE, 1–9. IEEE, 2025. https://doi.org/10.1109/CITREx64975.2025.10974940.
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2024 | Artikel | FH-PUB-ID: 6299 |
Katter, Vincent, Bjarne Jaster, and Marvin Schöne. “Evaluierung der Leistungsfähigkeit von LSTM-Modellen für die Approximation physikalischer Systeme .” Schriftenreihe des Institute for Data Science Solutions 2 (2024). https://doi.org/10.60802/SIDAS.2024.2.
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2023 | Konferenzbeitrag | FH-PUB-ID: 3713 |
Jaster, Bjarne, and Martin Kohlhase. “Active Learning for Regression Problems with Ensemble Methods.” In Proceedings - 33. Workshop Computational Intelligence, edited by Horst Schulte, Frank Hoffmann, and Ralf Mikut, 9–29. Karlsruher Institut für Technologie (KIT), 2023. https://doi.org/10.5445/KSP/1000162754.
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2021 | Artikel | FH-PUB-ID: 6498 |
Guss, William Hebgen, Stephanie Milani, Nicholay Topin, Brandon Houghton, Sharada Mohanty, Andrew Melnik, Augustin Harter, et al. “Towards Robust and Domain Agnostic Reinforcement Learning Competitions.” ArXiv, 2021. https://doi.org/10.48550/ARXIV.2106.03748.
HSBI-PUB
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