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8 Publikationen

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[8]
2025 | Buchbeitrag | FH-PUB-ID: 6273 | OA
Informed Active Learning with Decision Trees to Balance Exploration and Exploitation
M. Schöne, B. Jaster, J. Bültemeier, M. Kohlhase, in: Institute for Data Science Solutions (Ed.), Kongress KI@HSBI2025 Zukunft Im Fokus – Posterbeiträge, Hochschule Bielefeld, Bielefeld, 2025, pp. 26–27.
HSBI-PUB | DOI | Download (ext.)
 
[7]
2025 | Konferenzbeitrag | FH-PUB-ID: 6267
AI Workflow for Scarce Data: A Modular Approach to Optimise Processes
J. Bültemeier, C.-A. Holst, V. Lohweg, M. Schöne, B. Jaster, M. Kohlhase, in: 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2025, pp. 1–4.
HSBI-PUB | DOI
 
[6]
2025 | Konferenzbeitrag | FH-PUB-ID: 6049 | OA
Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit
M. Schöne, B. Jaster, J. Bültemeier, J. Kösters, C.-A. Holst, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx), IEEE, 2025, pp. 1–9.
HSBI-PUB | Dateien verfügbar | DOI
 
[5]
2025 | Konferenzbeitrag | FH-PUB-ID: 5905
Trust Issues in Active Learning and Their Impact on Real-World Applications
B. Jaster, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion), IEEE, 2025, pp. 1–5.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[4]
2025 | Konferenzbeitrag | FH-PUB-ID: 6045 | OA
Trust Issues in Active Learning and Their Impact on Real-World Applications
B. Jaster, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion), IEEE, 2025, pp. 1–5.
HSBI-PUB | Dateien verfügbar | DOI
 
[3]
2025 | Konferenzbeitrag | FH-PUB-ID: 5904
Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit
M. Schöne, B. Jaster, J. Bültemeier, J. Kösters, C.-A. Holst, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx), IEEE, 2025, pp. 1–9.
HSBI-PUB | DOI | Download (ext.)
 
[2]
2024 | Artikel | FH-PUB-ID: 6299 | OA
Evaluierung der Leistungsfähigkeit von LSTM-Modellen für die Approximation physikalischer Systeme
V. Katter, B. Jaster, M. Schöne, Schriftenreihe des Institute for Data Science Solutions 2 (2024).
HSBI-PUB | DOI | Download (ext.)
 
[1]
2023 | Konferenzbeitrag | FH-PUB-ID: 3713 | OA
Active Learning for Regression Problems with Ensemble Methods
B. Jaster, M. Kohlhase, in: H. Schulte, F. Hoffmann, R. Mikut (Eds.), Proceedings - 33. Workshop Computational Intelligence, Karlsruher Institut für Technologie (KIT), 2023, pp. 9–29.
HSBI-PUB | DOI | Download (ext.)
 

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8 Publikationen

Alle markieren

[8]
2025 | Buchbeitrag | FH-PUB-ID: 6273 | OA
Informed Active Learning with Decision Trees to Balance Exploration and Exploitation
M. Schöne, B. Jaster, J. Bültemeier, M. Kohlhase, in: Institute for Data Science Solutions (Ed.), Kongress KI@HSBI2025 Zukunft Im Fokus – Posterbeiträge, Hochschule Bielefeld, Bielefeld, 2025, pp. 26–27.
HSBI-PUB | DOI | Download (ext.)
 
[7]
2025 | Konferenzbeitrag | FH-PUB-ID: 6267
AI Workflow for Scarce Data: A Modular Approach to Optimise Processes
J. Bültemeier, C.-A. Holst, V. Lohweg, M. Schöne, B. Jaster, M. Kohlhase, in: 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2025, pp. 1–4.
HSBI-PUB | DOI
 
[6]
2025 | Konferenzbeitrag | FH-PUB-ID: 6049 | OA
Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit
M. Schöne, B. Jaster, J. Bültemeier, J. Kösters, C.-A. Holst, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx), IEEE, 2025, pp. 1–9.
HSBI-PUB | Dateien verfügbar | DOI
 
[5]
2025 | Konferenzbeitrag | FH-PUB-ID: 5905
Trust Issues in Active Learning and Their Impact on Real-World Applications
B. Jaster, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion), IEEE, 2025, pp. 1–5.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[4]
2025 | Konferenzbeitrag | FH-PUB-ID: 6045 | OA
Trust Issues in Active Learning and Their Impact on Real-World Applications
B. Jaster, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion), IEEE, 2025, pp. 1–5.
HSBI-PUB | Dateien verfügbar | DOI
 
[3]
2025 | Konferenzbeitrag | FH-PUB-ID: 5904
Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit
M. Schöne, B. Jaster, J. Bültemeier, J. Kösters, C.-A. Holst, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx), IEEE, 2025, pp. 1–9.
HSBI-PUB | DOI | Download (ext.)
 
[2]
2024 | Artikel | FH-PUB-ID: 6299 | OA
Evaluierung der Leistungsfähigkeit von LSTM-Modellen für die Approximation physikalischer Systeme
V. Katter, B. Jaster, M. Schöne, Schriftenreihe des Institute for Data Science Solutions 2 (2024).
HSBI-PUB | DOI | Download (ext.)
 
[1]
2023 | Konferenzbeitrag | FH-PUB-ID: 3713 | OA
Active Learning for Regression Problems with Ensemble Methods
B. Jaster, M. Kohlhase, in: H. Schulte, F. Hoffmann, R. Mikut (Eds.), Proceedings - 33. Workshop Computational Intelligence, Karlsruher Institut für Technologie (KIT), 2023, pp. 9–29.
HSBI-PUB | DOI | Download (ext.)
 

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