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380 Publikationen


2024 | Artikel | FH-PUB-ID: 5566
Tharwat, Alaa, and Wolfram Schenck. “Using Methods From Dimensionality Reduction for Active Learning With Low Query Budget.” IEEE Transactions on Knowledge and Data Engineering 36, no. 8 (2024): 4317–30. https://doi.org/10.1109/TKDE.2024.3365189.
HSBI-PUB | DOI
 

2024 | Konferenzbeitrag | FH-PUB-ID: 5592
Schwede, Christian, and Daniel Fischer. “Learning Simulation-Based Digital Twins for Discrete Material Flow Systems: A Review.” In 2024 Winter Simulation Conference (WSC), edited by IEEE, 3070–81. IEEE, 2024. https://doi.org/10.1109/WSC63780.2024.10838729.
HSBI-PUB | DOI
 

2024 | Artikel | FH-PUB-ID: 5022 | OA
Davies, Emma, Eva Schwenzfeier-Hellkamp, and Andrea Ehrmann. “Safety of Hydrogen Storage Technologies.” Processes 12, no. 10 (2024). https://doi.org/10.3390/pr12102182.
HSBI-PUB | Dateien verfügbar | DOI
 

2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 4798 | OA
Karau, Fabian, and Michael Leuer. “Approximation einer modellprädiktiven Antriebsregelung durch ein neuronales Netz.” In Kongress KI@HSBI2023 Solutions im Fokus - Posterbeiträge, edited by Institute for Data Science Solutions, iDas and Hochschule Bielefeld, 18–19, 2024. https://doi.org/10.60802/sidas.2024.1 .
HSBI-PUB | DOI | Download (ext.)
 

2024 | Fachbuch | FH-PUB-ID: 5563
Burchert, Heiko, and Jürgen Schneider. Investition und Finanzierung. Klausuren, Aufgaben und Lösungen. 4th ed. Lehr- und Handbücher der Wirtschaftswissenschaft. Berlin/Boston: De Gruyter, 2024. https://doi.org/10.1515/9783111264646.
HSBI-PUB | DOI
 

2024 | Kurzbeitrag Konferenz | FH-PUB-ID: 5538
Armutat, Sascha, Nina Mauritz, and Malte Wattenberg. “HR-Management für mehr Anpassungsfähigkeit – mit dem richtigen Personal zur (digitalen) Transformation,” 2024.
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2024 | Konferenzbeitrag | FH-PUB-ID: 4916
Weller, Julian, Nico Migenda, Arno Kühn, and Roman Dumitrescu. “Prescriptive Analytics Data Canvas: Strategic Planning For Prescriptive Analytics In Smart Factories.” Hannover : publish-Ing., 2024. https://doi.org/10.15488/17721.
HSBI-PUB | DOI
 

2024 | Artikel | FH-PUB-ID: 5495
Tharwat, Alaa, and Wolfram Schenck. “Using Methods From Dimensionality Reduction for Active Learning With Low Query Budget.” IEEE Transactions on Knowledge and Data Engineering 36, no. 8 (2024): 4317–30. https://doi.org/10.1109/TKDE.2024.3365189.
HSBI-PUB | DOI
 

2024 | Konferenzbeitrag | FH-PUB-ID: 5557
Schulte, Katrin, Lars Engel, Lars Quakernack, Fynn Liegmann, and Jens 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, edited by Ninoslav Holjevac, Tomislav Baškarad, Matija Zidar, and Igor Kuzle, 2024.
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2024 | Artikel | FH-PUB-ID: 5111 | OA
Armutat, Sascha, Malte Wattenberg, and Nina Mauritz. “Gender Bias bei der Wahrnehmung Künstlicher Intelligenz: Ursachen und Strategien.” Femina Politica – Zeitschrift für feministische Politikwissenschaft 33, no. 2 (2024): 125–28. https://doi.org/10.3224/feminapolitica.v33i2.14.
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2024 | Konferenzbeitrag | FH-PUB-ID: 5174 | OA
Armutat, Sascha, Malte Wattenberg, and Nina Mauritz. “Designing an Artificial Intelligence Maturity Model for Human Resources (HR-AIMM).” In Proceedings of the 4th International Conference on AI Research, ICAIR 2024, edited by Academic Conferences International Limited, 4:50–58. United Kingdom: Curtis Farm, 2024. https://doi.org/10.34190/icair.5.1.3070.
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2024 | Konferenzbeitrag | FH-PUB-ID: 4388 | OA
Mauritz, Nina, Alexander Unrau, Malte Wattenberg, and Sascha 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, edited by Gesellschaft für Arbeitswissenschaft. Sankt Augustin, 2024.
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2024 | Artikel | FH-PUB-ID: 4518
Armutat, Sascha, Malte Wattenberg, and Nina Mauritz. “Den KI-Reifegrad des  Personalmanagements  bestimmen.” Controlling & Management Review 68, no. 2 (2024): 50–55. https://doi.org/10.1007/s12176-023-1106-0.
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2024 | Konferenzbeitrag | FH-PUB-ID: 4648
Wattenberg, Malte. “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, edited by Adela Coman and Simona Vasilache, 370–87. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-61305-0_26.
HSBI-PUB | DOI | Download (ext.)
 

2024 | Konferenzbeitrag | FH-PUB-ID: 5489
Saracevic, Selma, and Tobias Schäfers. “On-Demand Product Features: How Abstract vs. Concrete Communication Influences Consumer Reactions,” 2024.
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2024 | Konferenzbeitrag | FH-PUB-ID: 5490
Schäfers, Tobias, Nadine Pieper, and David Woisetschläger. “AI-Based Detection of Customer Misbehavior: Passenger Reactions to Surveillance Technology in Public Transport,” 2024.
HSBI-PUB
 

2024 | Dissertation | FH-PUB-ID: 4392 | OA
Grumbach, Felix. Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg: Universitäts- und Landesbibliothek Sachsen-Anhalt, 2024. https://doi.org/10.25673/115290.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 

2024 | Konferenzbeitrag | FH-PUB-ID: 4516 | OA
Armutat, Sascha, Malte Wattenberg, and Nina Mauritz. “Artificial Intelligence – Gender-Specific Differences in Perception, Understanding, and Training Interest.” In Proceedings of the 7th International Conference on Gender Research, 7:36–43. Academic Conferences International Ltd, 2024. https://doi.org/10.34190/icgr.7.1.2163.
HSBI-PUB | DOI | Download (ext.)
 

2024 | Konferenzbeitrag | FH-PUB-ID: 5491
Schäfers, Tobias, and Selma Saracevic. “»Winter Package on Demand« vs. »Seat Heating on Demand«: How the Level of Construal Influences Consumer Reactions to On-Demand Features,” 2024.
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2024 | Konferenzbeitrag | FH-PUB-ID: 5494
Akay, Julien Marteen, and Wolfram 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, edited by Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, and Igor V. Tetko, 427–44. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-72353-7_31.
HSBI-PUB | DOI
 

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