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4011 Publikationen
2024 | Konferenzbeitrag | FH-PUB-ID: 5488
Eggert, A., Steinhoff, L., Alberternst, B., Kessing, K., Schäfers, T., Böhm, E., … Woisetschläger, D. (2024). »Relationship Marketing for Future!« Leveraging Co-Responsibilization to Enhance Sustainability. Presented at the EMAC 2024, Bukarest.
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2024 | Konferenzbeitrag | FH-PUB-ID: 5489
Saracevic, S., & Schäfers, T. (2024). On-Demand Product Features: How Abstract vs. Concrete Communication Influences Consumer Reactions. Presented at the 13th AMA SERVSIG Conference, Bordeaux.
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2024 | Konferenzbeitrag | FH-PUB-ID: 5490
Schäfers, T., Pieper, N., & Woisetschläger, D. (2024). AI-Based Detection of Customer Misbehavior: Passenger Reactions to Surveillance Technology in Public Transport. Presented at the 13th AMA SERVSIG Conference, Bordeaux.
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2024 | Konferenzbeitrag | FH-PUB-ID: 5491
Schäfers, T., & Saracevic, S. (2024). »Winter Package on Demand« vs. »Seat Heating on Demand«: How the Level of Construal Influences Consumer Reactions to On-Demand Features. Presented at the Frontiers in Service Conference 2024, Amelia Island Florida.
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2024 | Konferenzbeitrag | FH-PUB-ID: 5494
Akay, J. M., & Schenck, W. (2024). Transferability of Non-contrastive Self-supervised Learning to Chronic Wound Image Recognition. In M. Wand, K. Malinovská, J. Schmidhuber, & I. V. Tetko (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VIII (pp. 427–444). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-72353-7_31
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| DOI
2024 | Artikel | FH-PUB-ID: 5495
Tharwat, A., & Schenck, W. (2024). Using Methods From Dimensionality Reduction for Active Learning With Low Query Budget. IEEE Transactions on Knowledge and Data Engineering, 36(8), 4317–4330. https://doi.org/10.1109/TKDE.2024.3365189
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| DOI
2024 | Artikel | FH-PUB-ID: 5497
Weller, J., Migenda, N., Enzberg, S. von, Kohlhase, M., Schenck, W., & Dumitrescu, R. (2024). Design decisions for integrating Prescriptive Analytics Use Cases into Smart Factories. Procedia CIRP, 128, 424–429. https://doi.org/10.1016/j.procir.2024.03.022
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| DOI
2024 | Diskussionspapier | FH-PUB-ID: 5498
Hammer, B., Alaçam, Ö., Arlinghaus, C. S., Brinkmann, M., Dörksen, H., Hoeken, S., … Zarrieß, S. (2024). Sustainable Life-Cycle of Intelligent Socio-Technical Systems. Bielefeld University. https://doi.org/10.4119/UNIBI/2992602
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| DOI
2024 | Artikel | FH-PUB-ID: 5499
Shah, Z. H., Müller, M., Hübner, W., Ortkrass, H., Hammer, B., Huser, T., & Schenck, W. (2024). Image restoration in frequency space using complex-valued CNNs. Frontiers in Artificial Intelligence, 7. https://doi.org/10.3389/frai.2024.1353873
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2024 | Artikel | FH-PUB-ID: 5500 | 
Shah, Z. H., Müller, M., Hübner, W., Wang, T.-C., Telman, D., Huser, T., & Schenck, W. (2024). Evaluation of Swin Transformer and knowledge transfer for denoising of super-resolution structured illumination microscopy data. GigaScience, 13. https://doi.org/10.1093/gigascience/giad109
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2024 | Artikel | FH-PUB-ID: 5501
Rauber, A., & Umrath, B. (2024). Auf den Schultern von Riesinnen? Zur Aktualität von Regina Becker-Schmidt. Gender Blog. https://doi.org/10.17185/GENDER/20241105
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| DOI
2024 | Artikel | FH-PUB-ID: 5504
Rauber, A. (2024). Sexuelle Selbstbestimmung stärken: Perspektiven von Mädchen auf Reproduktion und Verhütung. Betrifft Mädchen, 37(2), 65–71. https://doi.org/10.3262/BEM2402065
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| DOI
2024 | Fachbuch | FH-PUB-ID: 5505
Rauber, A. (2024). Caring Girlhood – Verhütung als Sorgearbeit von Mädchen (Vol. 85). Wiesbaden: Springer VS Verlag. https://doi.org/10.1007/978-3-658-46048-8
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2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 5538
Armutat, S., Mauritz, N., & Wattenberg, M. (2024). HR-Management für mehr Anpassungsfähigkeit – mit dem richtigen Personal zur (digitalen) Transformation. Presented at the #DLK 24 - Digital Learning Konferenz an der Hochschule Bielefeld „Flexibilisierung und Begleitung von Lernwegen“, Bielefeld.
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2024 | Konferenzbeitrag | FH-PUB-ID: 5557
Schulte, K., Engel, L., Quakernack, L., Liegmann, F., & Haubrock, J. (2024). A comparison of machine learning algorithms for the optimization of a day-ahead photovoltaic power forecast. In N. Holjevac, T. Baškarad, M. Zidar, & I. Kuzle (Eds.), IEEE PES ISGT Europe 2024 Conference book. Dubrovnik, Croatia.
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2024 | Fachbuch | FH-PUB-ID: 5563
Burchert, H., & Schneider, J. (2024). Investition und Finanzierung. Klausuren, Aufgaben und Lösungen (4th ed.). Berlin/Boston: De Gruyter. https://doi.org/10.1515/9783111264646
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| DOI
2024 | Artikel | FH-PUB-ID: 5566
Tharwat, A., & Schenck, W. (2024). Using Methods From Dimensionality Reduction for Active Learning With Low Query Budget. IEEE Transactions on Knowledge and Data Engineering, 36(8), 4317–4330. https://doi.org/10.1109/TKDE.2024.3365189
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 5568
Tharwat, A., & Schenck, W. (2024). Active Learning for Handling Missing Data. IEEE Transactions on Neural Networks and Learning Systems, 36(2), 3273–3287. https://doi.org/10.1109/TNNLS.2024.3352279
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| DOI
2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 5570
Tharwat, A., Herde, M., Pham, M. T., & Sick, B. (2024). Tutorial: Interactive Adaptive Learning. Presented at the 8th Intl. Worksh. & Tutorial on Interactive Adaptive Learning, Sep. 9th, 2024, Vilnius, Lithuania, Vilnius, Lithuania.
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2024 | Fachbuch | FH-PUB-ID: 5411
Wagner, K. (2024). Theorien des Wohnens. Eine kommentierte Anthologie (1st ed.). Berlin: jovis (deGruyter).
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