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380 Publikationen
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 | Dissertation | FH-PUB-ID: 4392 | 
Grumbach, F. (2024). Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg: Universitäts- und Landesbibliothek Sachsen-Anhalt. https://doi.org/10.25673/115290
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2024 | Konferenzbeitrag | FH-PUB-ID: 4516 |
Armutat, S., Wattenberg, M., & Mauritz, N. (2024). Artificial Intelligence – Gender-Specific Differences in Perception, Understanding, and Training Interest. In Proceedings of the 7th International Conference on Gender Research (Vol. 7, pp. 36–43). Barcelona (Spain): Academic Conferences International Ltd. https://doi.org/10.34190/icgr.7.1.2163
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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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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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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: 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: 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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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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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: 5485
Bruland, D., Geffroy, D., & Latteck, Ä.-D. (2024). Digital Health Literacy of People with Intellectual Disabilities. Presented at the Global Health Literacy Summit, Rotterdam.
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2024 | Artikel | FH-PUB-ID: 4050
Migenda, N., Möller, R., & Schenck, W. (2024). Adaptive local Principal Component Analysis improves the clustering of high-dimensional data. Pattern Recognition, 146. https://doi.org/10.1016/j.patcog.2023.110030
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2024 | Artikel | FH-PUB-ID: 4698
Migenda, N., Möller, R., & Schenck, W. (2024). NGPCA: Clustering of high-dimensional and non-stationary data streams. Software Impacts, 20. https://doi.org/10.1016/j.simpa.2024.100635
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2024 | Konferenzbeitrag | FH-PUB-ID: 4699
Niederhaus, M., Migenda, N., Weller, J., Schenck, W., & Kohlhase, M. (2024). Technical Readiness of Prescriptive Analytics Platforms: A Survey. In IEEE (Ed.), 2024 35th Conference of Open Innovations Association (FRUCT) (pp. 509–519). Tampere, Finland: IEEE. https://doi.org/10.23919/FRUCT61870.2024.10516367
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2024 | Buchbeitrag | FH-PUB-ID: 4915
Weller, J., Migenda, N., Liu, R., Wegel, A., von Enzberg, S., Kohlhase, M., … Dumitrescu, R. (2024). Towards a Systematic Approach for Prescriptive Analytics Use Cases in Smart Factories. In O. Niggemann, J. Beyerer, M. Krantz, & C. Kühnert (Eds.), Machine Learning for Cyber-Physical Systems. Selected papers from the International Conference ML4CPS 2023 (Vol. 18, pp. 89–100). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-47062-2_9
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| DOI
2024 | Artikel | FH-PUB-ID: 4913
Weller, J., Migenda, N., Naik, Y., Heuwinkel, T., Kühn, A., Kohlhase, M., … Dumitrescu, R. (2024). Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories. Mathematics, 12(17). https://doi.org/10.3390/math12172663
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2024 | Konferenzbeitrag | FH-PUB-ID: 4644
Klein, L., Ostrau, C., Thies, M., Schenck, W., & Rückert, U. (2024). Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data. In D. Salvi, P. Van Gorp, & S. A. Shah (Eds.), Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings (pp. 423–437). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-59717-6_27
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2024 | Konferenzbeitrag | FH-PUB-ID: 5189
Breustedt, L., Schäfers, T., Cziehso, G., & Brinkhoff, S. (2024). The duality of in-store services: Benefits of tracking and targeting for brick-and-mortar retailers. Presented at the Frontiers in Service Conference 2024, Amelia Island.
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