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380 Publikationen
2024 | Konferenzbeitrag | FH-PUB-ID: 5489
Saracevic S, Schäfers T. On-Demand Product Features: How Abstract vs. Concrete Communication Influences Consumer Reactions. In: ; 2024.
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2024 | Konferenzbeitrag | FH-PUB-ID: 5490
Schäfers T, Pieper N, Woisetschläger D. AI-Based Detection of Customer Misbehavior: Passenger Reactions to Surveillance Technology in Public Transport. In: ; 2024.
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2024 | Dissertation | FH-PUB-ID: 4392 | 
Grumbach F. Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg: Universitäts- und Landesbibliothek Sachsen-Anhalt; 2024. doi:10.25673/115290
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2024 | Konferenzbeitrag | FH-PUB-ID: 4516 |
Armutat S, Wattenberg M, Mauritz N. Artificial Intelligence – Gender-Specific Differences in Perception, Understanding, and Training Interest. In: Proceedings of the 7th International Conference on Gender Research. Vol 7. Academic Conferences International Ltd; 2024:36-43. doi:10.34190/icgr.7.1.2163
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2024 | Konferenzbeitrag | FH-PUB-ID: 5491
Schäfers T, Saracevic S. »Winter Package on Demand« vs. »Seat Heating on Demand«: How the Level of Construal Influences Consumer Reactions to On-Demand Features. In: ; 2024.
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2024 | Konferenzbeitrag | FH-PUB-ID: 5494
Akay JM, Schenck W. Transferability of Non-contrastive Self-supervised Learning to Chronic Wound Image Recognition. In: Wand M, Malinovská K, Schmidhuber J, Tetko IV, 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. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland; 2024:427-444. doi: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. Design decisions for integrating Prescriptive Analytics Use Cases into Smart Factories. Procedia CIRP. 2024;128:424-429. doi:10.1016/j.procir.2024.03.022
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2024 | Artikel | FH-PUB-ID: 5500 |
Shah ZH, Müller M, Hübner W, et al. Evaluation of Swin Transformer and knowledge transfer for denoising of super-resolution structured illumination microscopy data. GigaScience. 2024;13. doi:10.1093/gigascience/giad109
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2024 | Artikel | FH-PUB-ID: 5499
Shah ZH, Müller M, Hübner W, et al. Image restoration in frequency space using complex-valued CNNs. Frontiers in Artificial Intelligence. 2024;7. doi:10.3389/frai.2024.1353873
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2024 | Artikel | FH-PUB-ID: 5501
Rauber A, Umrath B. Auf den Schultern von Riesinnen? Zur Aktualität von Regina Becker-Schmidt. Gender Blog. 2024. doi:10.17185/GENDER/20241105
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2024 | Artikel | FH-PUB-ID: 5504
Rauber A. Sexuelle Selbstbestimmung stärken: Perspektiven von Mädchen auf Reproduktion und Verhütung. Betrifft Mädchen. 2024;37(2):65-71. doi:10.3262/BEM2402065
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2024 | Fachbuch | FH-PUB-ID: 5505
Rauber A. Caring Girlhood – Verhütung als Sorgearbeit von Mädchen. Vol 85. Wiesbaden: Springer VS Verlag; 2024. doi: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. Digital Health Literacy of People with Intellectual Disabilities. In: ; 2024.
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2024 | Artikel | FH-PUB-ID: 4050
Migenda N, Möller R, Schenck W. Adaptive local Principal Component Analysis improves the clustering of high-dimensional data. Pattern Recognition. 2024;146. doi:10.1016/j.patcog.2023.110030
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2024 | Artikel | FH-PUB-ID: 4698
Migenda N, Möller R, Schenck W. NGPCA: Clustering of high-dimensional and non-stationary data streams. Software Impacts. 2024;20. doi: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. Technical Readiness of Prescriptive Analytics Platforms: A Survey. In: IEEE, ed. 2024 35th Conference of Open Innovations Association (FRUCT). IEEE; 2024:509-519. doi:10.23919/FRUCT61870.2024.10516367
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2024 | Buchbeitrag | FH-PUB-ID: 4915
Weller J, Migenda N, Liu R, et al. Towards a Systematic Approach for Prescriptive Analytics Use Cases in Smart Factories. In: Niggemann O, Beyerer J, Krantz M, Kühnert C, eds. Machine Learning for Cyber-Physical Systems. Selected Papers from the International Conference ML4CPS 2023. Vol 18. Technologien für die intelligente Automation. Cham: Springer Nature Switzerland; 2024:89-100. doi:10.1007/978-3-031-47062-2_9
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2024 | Artikel | FH-PUB-ID: 4913
Weller J, Migenda N, Naik Y, et al. Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories. Mathematics. 2024;12(17). doi:10.3390/math12172663
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2024 | Konferenzbeitrag | FH-PUB-ID: 4644
Klein L, Ostrau C, Thies M, Schenck W, Rückert U. Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data. In: Salvi D, Van Gorp P, Shah SA, eds. Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Cham: Springer Nature Switzerland; 2024:423-437. doi: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. The duality of in-store services: Benefits of tracking and targeting for brick-and-mortar retailers. In: ; 2024.
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