Please note that HSBI-PUB no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
3364 Publikationen
2024 | Konferenzbeitrag | FH-PUB-ID: 5359 | 
T. Schulenkorf et al., “Factors influencing an advanced nursing practice service for people with intellectual disabilities,” in European Journal of Public Health, Lissabon, 2024, vol. 34, no. Supplement_3.
HSBI-PUB
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 5557
K. Schulte, L. Engel, L. Quakernack, F. Liegmann, and J. Haubrock, “A comparison of machine learning algorithms for the optimization of a day-ahead photovoltaic power forecast,” in IEEE PES ISGT Europe 2024 Conference book, Dubrovnik, Croatia, 2024.
HSBI-PUB
2024 | Konferenzbeitrag | FH-PUB-ID: 5488
A. Eggert et al., “»Relationship Marketing for Future!« Leveraging Co-Responsibilization to Enhance Sustainability,” presented at the EMAC 2024, Bukarest, 2024.
HSBI-PUB
| Dateien verfügbar
2024 | Artikel | FH-PUB-ID: 5111 |
S. Armutat, M. Wattenberg, and N. Mauritz, “Gender Bias bei der Wahrnehmung Künstlicher Intelligenz: Ursachen und Strategien,” Femina Politica – Zeitschrift für feministische Politikwissenschaft, vol. 33, no. 2, pp. 125–128, 2024.
HSBI-PUB
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 5174 |
S. Armutat, M. Wattenberg, and N. Mauritz, “Designing an Artificial Intelligence Maturity Model for Human Resources (HR-AIMM),” in Proceedings of the 4th International Conference on AI Research, ICAIR 2024, Lisbon, Portugal, 2024, vol. 4, no. 1, pp. 50–58.
HSBI-PUB
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 4388 |
N. Mauritz, A. Unrau, M. Wattenberg, and S. Armutat, “Partizipative Weiterentwicklung informatorischer Assistenzsysteme in der Montage bei der Weidmüller Interface GmbH & Co. KG. ,” in Arbeitswissenschaft in-the-loop: Mensch-Technologie-Integration und ihre Auswirkung auf Mensch, Arbeit und Arbeitsgestaltung, Stuttgart, 2024.
HSBI-PUB
| Download (ext.)
2024 | Artikel | FH-PUB-ID: 4518
S. Armutat, M. Wattenberg, and N. Mauritz, “Den KI-Reifegrad des Personalmanagements bestimmen,” Controlling & Management Review, vol. 68, no. 2, pp. 50–55, 2024.
HSBI-PUB
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 4648
M. Wattenberg, “Theoretical Foundations of Customer Engagement in Social Media – Implications for Businesses,” in Social Computing and Social Media. 16th International Conference, SCSM 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29–July 4, 2024, Proceedings, Part II, Washington, DC, USA, 2024, pp. 370–387.
HSBI-PUB
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 5489
S. Saracevic and T. Schäfers, “On-Demand Product Features: How Abstract vs. Concrete Communication Influences Consumer Reactions,” presented at the 13th AMA SERVSIG Conference, Bordeaux, 2024.
HSBI-PUB
2024 | Konferenzbeitrag | FH-PUB-ID: 5490
T. Schäfers, N. Pieper, and D. Woisetschläger, “AI-Based Detection of Customer Misbehavior: Passenger Reactions to Surveillance Technology in Public Transport,” presented at the 13th AMA SERVSIG Conference, Bordeaux, 2024.
HSBI-PUB
2024 | Dissertation | FH-PUB-ID: 4392 |
F. Grumbach, Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg: Universitäts- und Landesbibliothek Sachsen-Anhalt, 2024.
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 4516 |
S. Armutat, M. Wattenberg, and N. Mauritz, “Artificial Intelligence – Gender-Specific Differences in Perception, Understanding, and Training Interest,” in Proceedings of the 7th International Conference on Gender Research, Barcelona (Spain), 2024, vol. 7, no. 1, pp. 36–43.
HSBI-PUB
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 5491
T. Schäfers and S. Saracevic, “»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, 2024.
HSBI-PUB
2024 | Konferenzbeitrag | FH-PUB-ID: 5494
J. M. Akay and W. Schenck, “Transferability of Non-contrastive Self-supervised Learning to Chronic Wound Image Recognition,” in Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VIII, Lugano, Switzerland, 2024, pp. 427–444.
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 5500 |
Z. H. Shah et al., “Evaluation of Swin Transformer and knowledge transfer for denoising of super-resolution structured illumination microscopy data,” GigaScience, vol. 13, 2024.
HSBI-PUB
| DOI
| Download (ext.)