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7 Publikationen
2024 | Konferenzband - Beitrag | ELSA-ID: 12904
Senke, Hanna, et al. “Deep Learning-Based Localisation of Combine Harvester Components in Thermal Images.” Forum Bildverarbeitung 2024 = Image Pocessing Forum 2024, edited by Thomas Längle et al., KIT Scientific Publishing, 2024, pp. 71–82, https://doi.org/10.58895/ksp/1000174496-7.
ELSA
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2024 | Konferenz - Vortrag | ELSA-ID: 12816
Cheng, Ka Yung, et al. “An Image Retrieval Pipeline in a Medical Data Integration Center.” 19th World Congress on Medical and Health Informatics (MEDINFO), vol. 310, IOS Press, Incorporated, 2024, pp. 1388–89, https://doi.org/10.3233/SHTI231208.
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| PubMed | Europe PMC
2022 | Konferenzband - Beitrag | ELSA-ID: 7734
Stuke, Tobias, et al. “Adaptiver Griff-in-die-Kiste – Die methodische Lücke zwischen Forschung und Industrie.” Tagungsband AALE 2022: Wissenstransfer im Spannungsfeld von Autonomisierung und Fachkräftemangel, edited by Christian Härle et al., 1st ed., Open Access, 2022, pp. 145–54, https://doi.org/10.33968/2022.14.
ELSA
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2022 | Bachelorarbeit | ELSA-ID: 8888 | 
Treiber, Dennis. Die Verwendung von Tonaufnahmen im LMS : Entwicklung spezifischer digitaler Werkzeuge an Hochschulen. Technische Hochschule Ostwestfalen-Lippe, 2022.
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2020 | Konferenz - Beitrag | ELSA-ID: 4097 |
Besginow, Andreas, et al. “Making Object Detection Available to Everyone - A Hardware Prototype for Semi-Automatic Synthetic Data Generation.” 22nd International Conference on Human-Computer Interaction, vol. 12203, Springer, 2020, pp. 178–92, https://doi.org/10.1007/978-3-030-50344-4_14.
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2020 | Konferenzband - Beitrag | ELSA-ID: 12807
Leemhuis, Alexander, et al. “Bacher than Bach? On Musicologically Informed AI-Based Bach Chorale Harmonization.” Machine Learning and Knowledge Discovery in Databases : International Workshops of ECML PKDD 2019, edited by Peggy Cellier and Kurt Driessens, vol. 1168, Springer International Publishing, 2020, pp. 462–69, https://doi.org/10.1007/978-3-030-43887-6_39.
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2019 | Konferenz - Beitrag | ELSA-ID: 4102 |
Dhiman, Hitesh, et al. “Handling Work Complexity with AR/Deep Learning.” Proceedings of the 31st Australian Conference on Human-Computer-Interaction (OzCHI’19) : 2nd Dec.-5th Dec. 2019, Perth/Fremantle, WA, Australia, ACM, 2019, pp. 518–522, doi:10.1145/3369457.3370919.
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