--- _id: '6235' author: - first_name: Marius full_name: Sangel, Marius id: '243822' last_name: Sangel - first_name: Emilia full_name: Bensch, Emilia last_name: Bensch - first_name: Hans full_name: Brandt-Pook, Hans id: '206531' last_name: Brandt-Pook orcid: 0009-0002-6668-2684 orcid_put_code_url: https://api.orcid.org/v2.0/0009-0002-6668-2684/work/194297832 - first_name: Timo full_name: Röllke, Timo last_name: Röllke - first_name: Cedric full_name: Markworth, Cedric last_name: Markworth citation: alphadin: 'Sangel, Marius ; Bensch, Emilia ; Brandt-Pook, Hans ; Röllke, Timo ; Markworth, Cedric: Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES. In: Gesellschaft für Informatik e.V. (Hrsg.): INFORMATIK 2025. Bonn, 2025, S. 1363–1371' ama: 'Sangel M, Bensch E, Brandt-Pook H, Röllke T, Markworth C. Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES. In: Gesellschaft für Informatik e.V., ed. INFORMATIK 2025. Bonn; 2025:1363-1371. doi:10.18420/INF2025_121' apa: 'Sangel, M., Bensch, E., Brandt-Pook, H., Röllke, T., & Markworth, C. (2025). Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES. In Gesellschaft für Informatik e.V. (Ed.), INFORMATIK 2025 (pp. 1363–1371). Bonn. https://doi.org/10.18420/INF2025_121' bibtex: '@inproceedings{Sangel_Bensch_Brandt-Pook_Röllke_Markworth_2025, place={Bonn}, title={Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES}, DOI={10.18420/INF2025_121}, number={366}, booktitle={INFORMATIK 2025}, author={Sangel, Marius and Bensch, Emilia and Brandt-Pook, Hans and Röllke, Timo and Markworth, Cedric}, editor={Gesellschaft für Informatik e.V.Editor}, year={2025}, pages={1363–1371} }' chicago: 'Sangel, Marius, Emilia Bensch, Hans Brandt-Pook, Timo Röllke, and Cedric Markworth. “Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES.” In INFORMATIK 2025, edited by Gesellschaft für Informatik e.V., 1363–71. Bonn, 2025. https://doi.org/10.18420/INF2025_121.' ieee: 'M. Sangel, E. Bensch, H. Brandt-Pook, T. Röllke, and C. Markworth, “Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES,” in INFORMATIK 2025, Potsdam, 2025, no. 366, pp. 1363–1371.' mla: 'Sangel, Marius, et al. “Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES.” INFORMATIK 2025, edited by Gesellschaft für Informatik e.V., no. 366, 2025, pp. 1363–71, doi:10.18420/INF2025_121.' short: 'M. Sangel, E. Bensch, H. Brandt-Pook, T. Röllke, C. Markworth, in: Gesellschaft für Informatik e.V. (Ed.), INFORMATIK 2025, Bonn, 2025, pp. 1363–1371.' conference: end_date: 2025-09-19 location: Potsdam name: INFORMATIKFESTIVAL 2025 start_date: 2025-09-16 corporate_editor: - Gesellschaft für Informatik e.V. date_created: 2025-10-15T07:05:27Z date_updated: 2026-03-17T15:29:27Z department: - _id: 4b2dc5c9-bee3-11eb-b75f-ecc80f94fb21 doi: 10.18420/INF2025_121 file: - access_level: open_access content_type: application/pdf creator: msangel1 date_created: 2025-10-15T07:02:12Z date_updated: 2025-10-15T07:02:12Z file_id: '6236' file_name: Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen Ansätze und Ergebnisse aus dem Projekt TRACES.pdf file_size: 14374281 relation: main_file success: 1 file_date_updated: 2025-10-15T07:02:12Z has_accepted_license: '1' issue: '366' keyword: - Machine Learning - Computer Vision - Instance Segmentation - CNNs - YOLACT - Data Augmentation - Waste Classification - Trash Detection - Biowaste Analysis language: - iso: ger main_file_link: - open_access: '1' oa: '1' page: 1363-1371 place: Bonn project: - _id: f432a2ee-bceb-11ed-a251-a83585c5074d name: Institute for Data Science Solutions publication: INFORMATIK 2025 publication_identifier: unknown: - 2944-7682 publication_status: epub_ahead quality_controlled: '1' status: public title: 'Automatisierte Erkennung von Störstoffen in Bioabfall mit maschinellem Lernen: Ansätze und Ergebnisse aus dem Projekt TRACES' tmp: image: /images/cc_by_sa.png legal_code_url: https://creativecommons.org/licenses/by-sa/4.0/legalcode name: Creative Commons Attribution-ShareAlike 4.0 International Public License (CC BY-SA 4.0) short: CC BY-SA (4.0) type: conference urn: urn:nbn:de:hbz:bi10-62353 user_id: '243822' year: '2025' ... --- _id: '5905' author: - first_name: Bjarne full_name: Jaster, Bjarne id: '252434' last_name: Jaster orcid: 0000-0002-8362-5369 orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-8362-5369/work/203880018 - first_name: Martin full_name: Kohlhase, Martin id: '226669' last_name: Kohlhase orcid: 0009-0002-9374-0720 orcid_put_code_url: https://api.orcid.org/v2.0/0009-0002-9374-0720/work/203880020 citation: alphadin: 'Jaster, Bjarne ; Kohlhase, Martin: Trust Issues in Active Learning and Their Impact on Real-World Applications. In: IEEE (Hrsg.): 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion) : IEEE, 2025, S. 1–5' ama: 'Jaster B, Kohlhase M. Trust Issues in Active Learning and Their Impact on Real-World Applications. In: IEEE, ed. 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion). IEEE; 2025:1-5. doi:10.1109/CITRExCompanion65208.2025.10981492' apa: 'Jaster, B., & Kohlhase, M. (2025). Trust Issues in Active Learning and Their Impact on Real-World Applications. In IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion) (pp. 1–5). Trondheim, Norway: IEEE. https://doi.org/10.1109/CITRExCompanion65208.2025.10981492' bibtex: '@inproceedings{Jaster_Kohlhase_2025, title={Trust Issues in Active Learning and Their Impact on Real-World Applications}, DOI={10.1109/CITRExCompanion65208.2025.10981492}, booktitle={2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion)}, publisher={IEEE}, author={Jaster, Bjarne and Kohlhase, Martin}, editor={IEEEEditor}, year={2025}, pages={1–5} }' chicago: Jaster, Bjarne, and Martin Kohlhase. “Trust Issues in Active Learning and Their Impact on Real-World Applications.” In 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion), edited by IEEE, 1–5. IEEE, 2025. https://doi.org/10.1109/CITRExCompanion65208.2025.10981492. ieee: B. Jaster and M. Kohlhase, “Trust Issues in Active Learning and Their Impact on Real-World Applications,” in 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion), Trondheim, Norway, 2025, pp. 1–5. mla: Jaster, Bjarne, and Martin Kohlhase. “Trust Issues in Active Learning and Their Impact on Real-World Applications.” 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion), edited by IEEE, IEEE, 2025, pp. 1–5, doi:10.1109/CITRExCompanion65208.2025.10981492. short: 'B. Jaster, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion), IEEE, 2025, pp. 1–5.' conference: end_date: 2025-03-20 location: Trondheim, Norway name: 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion) start_date: 2025-03-17 corporate_editor: - IEEE date_created: 2025-05-05T11:39:04Z date_updated: 2026-03-17T15:29:25Z doi: 10.1109/CITRExCompanion65208.2025.10981492 keyword: - Active Learning - Trustworthiness - Evaluation-methods language: - iso: eng main_file_link: - url: https://ieeexplore.ieee.org/document/10981492 page: 1-5 project: - _id: f432a2ee-bceb-11ed-a251-a83585c5074d name: Institute for Data Science Solutions publication: 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion) publication_identifier: eisbn: - 979-8-3315-1972-8 publication_status: published publisher: IEEE quality_controlled: '1' related_material: record: - id: '6045' relation: later_version status: public status: public title: Trust Issues in Active Learning and Their Impact on Real-World Applications type: conference user_id: '263827' year: '2025' ... --- _id: '6045' author: - first_name: Bjarne full_name: Jaster, Bjarne id: '252434' last_name: Jaster orcid: 0000-0002-8362-5369 orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-8362-5369/work/203880542 - first_name: Martin full_name: Kohlhase, Martin id: '226669' last_name: Kohlhase orcid: 0009-0002-9374-0720 orcid_put_code_url: https://api.orcid.org/v2.0/0009-0002-9374-0720/work/203880544 citation: alphadin: 'Jaster, Bjarne ; Kohlhase, Martin: Trust Issues in Active Learning and Their Impact on Real-World Applications. In: IEEE (Hrsg.): 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion) : IEEE, 2025, S. 1–5' ama: 'Jaster B, Kohlhase M. Trust Issues in Active Learning and Their Impact on Real-World Applications. In: IEEE, ed. 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion). IEEE; 2025:1-5. doi:10.57720/6045' apa: 'Jaster, B., & Kohlhase, M. (2025). Trust Issues in Active Learning and Their Impact on Real-World Applications. In IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion) (pp. 1–5). Trondheim, Norway: IEEE. https://doi.org/10.57720/6045' bibtex: '@inproceedings{Jaster_Kohlhase_2025, title={Trust Issues in Active Learning and Their Impact on Real-World Applications}, DOI={10.57720/6045}, booktitle={2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion)}, publisher={IEEE}, author={Jaster, Bjarne and Kohlhase, Martin}, editor={IEEEEditor}, year={2025}, pages={1–5} }' chicago: Jaster, Bjarne, and Martin Kohlhase. “Trust Issues in Active Learning and Their Impact on Real-World Applications.” In 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion), edited by IEEE, 1–5. IEEE, 2025. https://doi.org/10.57720/6045. ieee: B. Jaster and M. Kohlhase, “Trust Issues in Active Learning and Their Impact on Real-World Applications,” in 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion), Trondheim, Norway, 2025, pp. 1–5. mla: Jaster, Bjarne, and Martin Kohlhase. “Trust Issues in Active Learning and Their Impact on Real-World Applications.” 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion), edited by IEEE, IEEE, 2025, pp. 1–5, doi:10.57720/6045. short: 'B. Jaster, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion), IEEE, 2025, pp. 1–5.' conference: end_date: 2025-03-20 location: Trondheim, Norway name: 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion) start_date: 2025-03-17 corporate_editor: - IEEE date_created: 2025-07-10T05:52:35Z date_updated: 2026-03-17T15:29:25Z doi: 10.57720/6045 file: - access_level: open_access content_type: application/pdf creator: kwerth date_created: 2025-07-10T06:16:33Z date_updated: 2025-07-10T06:16:33Z file_id: '6048' file_name: Secondary Publication, Jaster et al, 2025, Active_Learning_in_Practice.pdf file_size: 1256254 relation: main_file success: 1 file_date_updated: 2025-07-10T06:16:33Z has_accepted_license: '1' keyword: - Active Learning - Trustworthiness - Evaluation-methods language: - iso: eng oa: '1' page: 1-5 project: - _id: f432a2ee-bceb-11ed-a251-a83585c5074d name: Institute for Data Science Solutions publication: 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx Companion) publication_identifier: eisbn: - 979-8-3315-1972-8 publication_status: published publisher: IEEE quality_controlled: '1' related_material: link: - description: 'This is the original article published by IEEE. Available online: 10.1109/CITRExCompanion65208.2025.10981492' relation: confirmation url: 10.1109/CITRExCompanion65208.2025.10981492 record: - id: '5905' relation: earlier_version status: public status: public title: Trust Issues in Active Learning and Their Impact on Real-World Applications type: conference urn: urn:nbn:de:hbz:bi10-60457 user_id: '263827' year: '2025' ... --- _id: '6049' author: - first_name: Marvin full_name: Schöne, Marvin id: '218388' last_name: Schöne - first_name: Bjarne full_name: Jaster, Bjarne id: '252434' last_name: Jaster orcid: 0000-0002-8362-5369 orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-8362-5369/work/203880864 - first_name: Julian full_name: Bültemeier, Julian last_name: Bültemeier - first_name: Justus full_name: Kösters, Justus last_name: Kösters - first_name: Christoph-Alexander full_name: Holst, Christoph-Alexander last_name: Holst - first_name: Martin full_name: Kohlhase, Martin id: '226669' last_name: Kohlhase orcid: 0009-0002-9374-0720 orcid_put_code_url: https://api.orcid.org/v2.0/0009-0002-9374-0720/work/203880865 citation: alphadin: 'Schöne, Marvin ; Jaster, Bjarne ; Bültemeier, Julian ; Kösters, Justus ; Holst, Christoph-Alexander ; Kohlhase, Martin: Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit. In: IEEE (Hrsg.): 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx) : IEEE, 2025, S. 1–9' ama: 'Schöne M, Jaster B, Bültemeier J, Kösters J, Holst C-A, Kohlhase M. Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit. In: IEEE, ed. 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx). IEEE; 2025:1-9. doi:10.57720/6049' apa: 'Schöne, M., Jaster, B., Bültemeier, J., Kösters, J., Holst, C.-A., & Kohlhase, M. (2025). Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit. In IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx) (pp. 1–9). Trondheim, Norway: IEEE. https://doi.org/10.57720/6049' bibtex: '@inproceedings{Schöne_Jaster_Bültemeier_Kösters_Holst_Kohlhase_2025, title={Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit}, DOI={10.57720/6049}, booktitle={2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx)}, publisher={IEEE}, author={Schöne, Marvin and Jaster, Bjarne and Bültemeier, Julian and Kösters, Justus and Holst, Christoph-Alexander and Kohlhase, Martin}, editor={IEEEEditor}, year={2025}, pages={1–9} }' chicago: 'Schöne, Marvin, Bjarne Jaster, Julian Bültemeier, Justus Kösters, Christoph-Alexander Holst, and Martin Kohlhase. “Pool-Based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit.” In 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx), edited by IEEE, 1–9. IEEE, 2025. https://doi.org/10.57720/6049.' ieee: 'M. Schöne, B. Jaster, J. Bültemeier, J. Kösters, C.-A. Holst, and M. Kohlhase, “Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit,” in 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx), Trondheim, Norway, 2025, pp. 1–9.' mla: 'Schöne, Marvin, et al. “Pool-Based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit.” 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx), edited by IEEE, IEEE, 2025, pp. 1–9, doi:10.57720/6049.' short: 'M. Schöne, B. Jaster, J. Bültemeier, J. Kösters, C.-A. Holst, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx), IEEE, 2025, pp. 1–9.' conference: end_date: 2025-03-20 location: Trondheim, Norway name: 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx) start_date: 2025-03-17 corporate_editor: - IEEE date_created: 2025-07-10T06:20:36Z date_updated: 2026-03-17T15:29:25Z doi: 10.57720/6049 file: - access_level: open_access content_type: application/pdf creator: kwerth date_created: 2025-07-10T06:30:41Z date_updated: 2025-07-10T06:30:41Z file_id: '6050' file_name: Secondary Publication, Schöne et al, 2025, Active_Learning_with_GUIDE.pdf file_size: 2379084 relation: main_file success: 1 file_date_updated: 2025-07-10T06:30:41Z has_accepted_license: '1' keyword: - Interpretability - Classification - Pool-based Active Learning - Decision Trees language: - iso: eng oa: '1' page: 1-9 project: - _id: f432a2ee-bceb-11ed-a251-a83585c5074d name: Institute for Data Science Solutions publication: 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx) publication_identifier: eisbn: - 979-8-3315-2015-1 publication_status: published publisher: IEEE quality_controlled: '1' related_material: link: - description: 'This is the original article published by IEEE. Available online: 10.1109/CITREx64975.2025.10974940.' relation: earlier_version url: 10.1109/CITREx64975.2025.10974940 status: public title: 'Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit' type: conference urn: urn:nbn:de:hbz:bi10-60491 user_id: '263827' year: '2025' ... --- _id: '5904' author: - first_name: Marvin full_name: Schöne, Marvin id: '218388' last_name: Schöne - first_name: Bjarne full_name: Jaster, Bjarne id: '252434' last_name: Jaster orcid: 0000-0002-8362-5369 orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-8362-5369/work/204125762 - first_name: Julian full_name: Bültemeier, Julian last_name: Bültemeier - first_name: Justus full_name: Kösters, Justus last_name: Kösters - first_name: Christoph-Alexander full_name: Holst, Christoph-Alexander last_name: Holst - first_name: Martin full_name: Kohlhase, Martin id: '226669' last_name: Kohlhase orcid: 0009-0002-9374-0720 orcid_put_code_url: https://api.orcid.org/v2.0/0009-0002-9374-0720/work/204125763 citation: alphadin: 'Schöne, Marvin ; Jaster, Bjarne ; Bültemeier, Julian ; Kösters, Justus ; Holst, Christoph-Alexander ; Kohlhase, Martin: Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit. In: IEEE (Hrsg.): 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx) : IEEE, 2025, S. 1–9' ama: 'Schöne M, Jaster B, Bültemeier J, Kösters J, Holst C-A, Kohlhase M. Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit. In: IEEE, ed. 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx). IEEE; 2025:1-9. doi:10.1109/CITREx64975.2025.10974940' apa: 'Schöne, M., Jaster, B., Bültemeier, J., Kösters, J., Holst, C.-A., & Kohlhase, M. (2025). Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit. In IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx) (pp. 1–9). Trondheim, Norway: IEEE. https://doi.org/10.1109/CITREx64975.2025.10974940' bibtex: '@inproceedings{Schöne_Jaster_Bültemeier_Kösters_Holst_Kohlhase_2025, title={Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit}, DOI={10.1109/CITREx64975.2025.10974940}, booktitle={2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx)}, publisher={IEEE}, author={Schöne, Marvin and Jaster, Bjarne and Bültemeier, Julian and Kösters, Justus and Holst, Christoph-Alexander and Kohlhase, Martin}, editor={IEEEEditor}, year={2025}, pages={1–9} }' chicago: 'Schöne, Marvin, Bjarne Jaster, Julian Bültemeier, Justus Kösters, Christoph-Alexander Holst, and Martin Kohlhase. “Pool-Based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit.” In 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx), edited by IEEE, 1–9. IEEE, 2025. https://doi.org/10.1109/CITREx64975.2025.10974940.' ieee: 'M. Schöne, B. Jaster, J. Bültemeier, J. Kösters, C.-A. Holst, and M. Kohlhase, “Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit,” in 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx), Trondheim, Norway, 2025, pp. 1–9.' mla: 'Schöne, Marvin, et al. “Pool-Based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit.” 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx), edited by IEEE, IEEE, 2025, pp. 1–9, doi:10.1109/CITREx64975.2025.10974940.' short: 'M. Schöne, B. Jaster, J. Bültemeier, J. Kösters, C.-A. Holst, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx), IEEE, 2025, pp. 1–9.' conference: end_date: 2025-03-20 location: Trondheim, Norway name: 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx) start_date: 2025-03-17 corporate_editor: - IEEE date_created: 2025-04-29T13:20:58Z date_updated: 2026-03-17T15:29:23Z doi: 10.1109/CITREx64975.2025.10974940 keyword: - Interpretability - Classification - Pool-based Active Learning - Decision Trees language: - iso: eng main_file_link: - url: https://ieeexplore.ieee.org/document/10974940 page: 1-9 project: - _id: f432a2ee-bceb-11ed-a251-a83585c5074d name: Institute for Data Science Solutions publication: 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx) publication_identifier: eisbn: - 979-8-3315-2015-1 publication_status: published publisher: IEEE quality_controlled: '1' status: public title: 'Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit' type: conference user_id: '237837' year: '2025' ... --- _id: '4881' article_type: original author: - first_name: Frauke full_name: Wiegraebe, Frauke last_name: Wiegraebe - first_name: Marleen full_name: Schönbeck, Marleen last_name: Schönbeck - first_name: Paul full_name: Wunderlich, Paul last_name: Wunderlich - first_name: Annette full_name: Nauerth, Annette id: '33965' last_name: Nauerth orcid: 0009-0006-8407-3136 orcid_put_code_url: https://api.orcid.org/v2.0/0009-0006-8407-3136/work/165894265 - first_name: Helene full_name: Dörksen, Helene last_name: Dörksen citation: alphadin: 'Wiegraebe, Frauke ; Schönbeck, Marleen ; Wunderlich, Paul ; Nauerth, Annette ; Dörksen, Helene: KI-basiertes Unterstützungstool für pflegende Erwerbstätige. In: Pflege und Gesellschaft Bd. 3, BeltzJuventa (2024), S. 271–285' ama: Wiegraebe F, Schönbeck M, Wunderlich P, Nauerth A, Dörksen H. KI-basiertes Unterstützungstool für pflegende Erwerbstätige. Pflege und Gesellschaft. 2024;3:271-285. doi:10.3262/P&G2403271 apa: Wiegraebe, F., Schönbeck, M., Wunderlich, P., Nauerth, A., & Dörksen, H. (2024). KI-basiertes Unterstützungstool für pflegende Erwerbstätige. Pflege und Gesellschaft, 3, 271–285. https://doi.org/10.3262/P&G2403271 bibtex: '@article{Wiegraebe_Schönbeck_Wunderlich_Nauerth_Dörksen_2024, title={KI-basiertes Unterstützungstool für pflegende Erwerbstätige}, volume={3}, DOI={10.3262/P&G2403271}, journal={Pflege und Gesellschaft}, publisher={BeltzJuventa}, author={Wiegraebe, Frauke and Schönbeck, Marleen and Wunderlich, Paul and Nauerth, Annette and Dörksen, Helene}, year={2024}, pages={271–285} }' chicago: 'Wiegraebe, Frauke, Marleen Schönbeck, Paul Wunderlich, Annette Nauerth, and Helene Dörksen. “KI-basiertes Unterstützungstool für pflegende Erwerbstätige.” Pflege und Gesellschaft 3 (2024): 271–85. https://doi.org/10.3262/P&G2403271.' ieee: F. Wiegraebe, M. Schönbeck, P. Wunderlich, A. Nauerth, and H. Dörksen, “KI-basiertes Unterstützungstool für pflegende Erwerbstätige,” Pflege und Gesellschaft, vol. 3, pp. 271–285, 2024. mla: Wiegraebe, Frauke, et al. “KI-basiertes Unterstützungstool für pflegende Erwerbstätige.” Pflege und Gesellschaft, vol. 3, BeltzJuventa, 2024, pp. 271–85, doi:10.3262/P&G2403271. short: F. Wiegraebe, M. Schönbeck, P. Wunderlich, A. Nauerth, H. Dörksen, Pflege und Gesellschaft 3 (2024) 271–285. date_created: 2024-08-20T16:06:49Z date_updated: 2026-03-17T15:29:08Z department: - _id: 4b342258-bee3-11eb-b75f-c9bf9d645214 doi: 10.3262/P&G2403271 intvolume: ' 3' keyword: - Digital care support tool - caring workforce - interdisciplinarity - AI application - machine learning - user orientation language: - iso: ger page: 271-285 publication: Pflege und Gesellschaft publication_identifier: issn: - 1430-9653 publication_status: published publisher: BeltzJuventa quality_controlled: '1' research_group: - _id: f025f82c-c221-11ec-90a2-d82e18d06cb8 name: CareTech OWL - Zentrum für Gesundheit, Soziales und Technologie status: public title: KI-basiertes Unterstützungstool für pflegende Erwerbstätige type: journal_article user_id: '220548' volume: 3 year: '2024' ... --- _id: '4392' alternative_id: - '5468' author: - first_name: Felix full_name: Grumbach, Felix id: '243801' last_name: Grumbach orcid: 0000-0001-6348-7897 orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-6348-7897/work/156390666 citation: alphadin: 'Grumbach, Felix: Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg : Universitäts- und Landesbibliothek Sachsen-Anhalt, 2024' ama: 'Grumbach F. Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg: Universitäts- und Landesbibliothek Sachsen-Anhalt; 2024. doi:10.25673/115290' apa: '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' bibtex: '@book{Grumbach_2024, place={Bernburg}, title={Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]}, DOI={10.25673/115290}, publisher={Universitäts- und Landesbibliothek Sachsen-Anhalt}, author={Grumbach, Felix}, year={2024} }' chicago: '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.' ieee: 'F. Grumbach, Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]. Bernburg: Universitäts- und Landesbibliothek Sachsen-Anhalt, 2024.' mla: Grumbach, Felix. Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation]. Universitäts- und Landesbibliothek Sachsen-Anhalt, 2024, doi:10.25673/115290. short: F. Grumbach, Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation], Universitäts- und Landesbibliothek Sachsen-Anhalt, Bernburg, 2024. date_created: 2024-03-14T11:32:15Z date_updated: 2026-03-17T15:29:00Z doi: 10.25673/115290 file: - access_level: open_access content_type: application/pdf creator: fgrumbach1 date_created: 2024-03-14T11:32:13Z date_updated: 2024-03-14T11:32:13Z file_id: '4393' file_name: Diss_FGrumbach_2024_Final.pdf file_size: 7859995 relation: main_file success: 1 file_date_updated: 2024-03-14T11:32:13Z has_accepted_license: '1' keyword: - Produktionsplanung und -steuerung - Operations Research - Machine Learning - Reinforcement Learning language: - iso: ger main_file_link: - open_access: '1' url: http://dx.doi.org/10.25673/115290 oa: '1' place: Bernburg publication_identifier: eisbn: - 978-3-96057-174-2 publication_status: published publisher: Universitäts- und Landesbibliothek Sachsen-Anhalt status: public supervisor: - first_name: Sebastian full_name: Trojahn, Sebastian last_name: Trojahn title: Feldsynchrone Ablaufplanung dynamischer Fertigungsprozesse mit Techniken des maschinellen Lernens [kumulative Dissertation] tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: dissertation urn: urn:nbn:de:hbz:bi10-43927 user_id: '220548' year: '2024' ... --- _id: '4394' author: - first_name: Anna full_name: Müller, Anna last_name: Müller - first_name: Felix full_name: Grumbach, Felix id: '243801' last_name: Grumbach orcid: 0000-0001-6348-7897 citation: alphadin: 'Müller, Anna ; Grumbach, Felix: Predicting processing times in high mix low volume job shops. In: Glistau, E. ; Trojahn, S. (Hrsg.): 16th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management : Otto von Guericke University Library, Magdeburg, Germany, 2023' ama: 'Müller A, Grumbach F. Predicting processing times in high mix low volume job shops. In: Glistau E, Trojahn S, eds. 16th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management. Otto von Guericke University Library, Magdeburg, Germany; 2023. doi:10.25673/103491' apa: 'Müller, A., & Grumbach, F. (2023). Predicting processing times in high mix low volume job shops. In E. Glistau & S. Trojahn (Eds.), 16th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management. Magdeburg: Otto von Guericke University Library, Magdeburg, Germany. https://doi.org/10.25673/103491' bibtex: '@inproceedings{Müller_Grumbach_2023, title={Predicting processing times in high mix low volume job shops}, DOI={10.25673/103491}, booktitle={16th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management}, publisher={Otto von Guericke University Library, Magdeburg, Germany}, author={Müller, Anna and Grumbach, Felix}, editor={Glistau, Elke and Trojahn, SebastianEditors}, year={2023} }' chicago: Müller, Anna, and Felix Grumbach. “Predicting Processing Times in High Mix Low Volume Job Shops.” In 16th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management, edited by Elke Glistau and Sebastian Trojahn. Otto von Guericke University Library, Magdeburg, Germany, 2023. https://doi.org/10.25673/103491. ieee: A. Müller and F. Grumbach, “Predicting processing times in high mix low volume job shops,” in 16th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management, Magdeburg, 2023. mla: Müller, Anna, and Felix Grumbach. “Predicting Processing Times in High Mix Low Volume Job Shops.” 16th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management, edited by Elke Glistau and Sebastian Trojahn, Otto von Guericke University Library, Magdeburg, Germany, 2023, doi:10.25673/103491. short: 'A. Müller, F. Grumbach, in: E. Glistau, S. Trojahn (Eds.), 16th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management, Otto von Guericke University Library, Magdeburg, Germany, 2023.' conference: end_date: 20.06.2023 location: Magdeburg name: 16th International Doctoral Students Workshops on Logistics, Supply Chain and Production Management start_date: 20.06.2023 date_created: 2024-03-14T11:37:12Z date_updated: 2026-03-17T15:29:00Z doi: 10.25673/103491 editor: - first_name: Elke full_name: Glistau, Elke last_name: Glistau - first_name: Sebastian full_name: Trojahn, Sebastian last_name: Trojahn keyword: - Machine Learning - Production scheduling - time prediction language: - iso: eng main_file_link: - open_access: '1' url: https://opendata.uni-halle.de//handle/1981185920/105445 oa: '1' publication: 16th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management publisher: Otto von Guericke University Library, Magdeburg, Germany quality_controlled: '1' status: public title: Predicting processing times in high mix low volume job shops type: conference user_id: '220548' year: '2023' ... --- _id: '4206' author: - first_name: Sanaullah full_name: Sanaullah, Sanaullah id: '248865' last_name: Sanaullah orcid: 0000-0003-4112-802X orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-4112-802X/work/157718021 - first_name: Amanullah full_name: Amanullah, Amanullah last_name: Amanullah - first_name: 'Kaushik ' full_name: 'Roy, Kaushik ' last_name: Roy - first_name: 'Jeong-A ' full_name: 'Lee, Jeong-A ' last_name: Lee - first_name: 'Son ' full_name: 'Chul-Jun, Son ' last_name: Chul-Jun - first_name: Thorsten full_name: Jungeblut, Thorsten id: '242294' last_name: Jungeblut orcid: 0000-0001-7425-8766 citation: alphadin: 'Sanaullah, Sanaullah ; Amanullah, Amanullah ; Roy, Kaushik ; Lee, Jeong-A ; Chul-Jun, Son ; Jungeblut, Thorsten: A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting. In: , 2023' ama: 'Sanaullah S, Amanullah A, Roy K, Lee J-A, Chul-Jun S, Jungeblut T. A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting. In: ; 2023. doi:10.5281/zenodo.10458019' apa: Sanaullah, S., Amanullah, A., Roy, K., Lee, J.-A., Chul-Jun, S., & Jungeblut, T. (2023). A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting. Presented at the International Conference on Computer Vision (ICCV) 2023, Paris France. https://doi.org/10.5281/zenodo.10458019 bibtex: '@inproceedings{Sanaullah_Amanullah_Roy_Lee_Chul-Jun_Jungeblut_2023, title={A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting}, DOI={10.5281/zenodo.10458019}, author={Sanaullah, Sanaullah and Amanullah, Amanullah and Roy, Kaushik and Lee, Jeong-A and Chul-Jun, Son and Jungeblut, Thorsten}, year={2023} }' chicago: Sanaullah, Sanaullah, Amanullah Amanullah, Kaushik Roy, Jeong-A Lee, Son Chul-Jun, and Thorsten Jungeblut. “A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting,” 2023. https://doi.org/10.5281/zenodo.10458019. ieee: S. Sanaullah, A. Amanullah, K. Roy, J.-A. Lee, S. Chul-Jun, and T. Jungeblut, “A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting,” presented at the International Conference on Computer Vision (ICCV) 2023, Paris France, 2023. mla: Sanaullah, Sanaullah, et al. A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting. 2023, doi:10.5281/zenodo.10458019. short: 'S. Sanaullah, A. Amanullah, K. Roy, J.-A. Lee, S. Chul-Jun, T. Jungeblut, in: 2023.' conference: end_date: 2023-10-6 location: Paris France name: International Conference on Computer Vision (ICCV) 2023 start_date: 2023-10-2 date_created: 2024-01-04T13:04:42Z date_updated: 2026-03-17T15:28:57Z doi: 10.5281/zenodo.10458019 external_id: zenodo: - 10.5281/zenodo.10458018 keyword: - hybrid SC-NN - SNN - CNN - Machine Learning language: - iso: eng main_file_link: - open_access: '1' url: https://www.researchgate.net/publication/377117919_A_Hybrid_Spiking-Convolutional_Neural_Network_Approach_for_Advancing_High-Quality_Image_Inpainting oa: '1' project: - _id: beb248c8-cd75-11ed-b77c-e432b4711f7b name: Institut für Systemdynamik und Mechatronik publication_status: published status: public title: A Hybrid Spiking-Convolutional Neural Network Approach for Advancing High-Quality Image Inpainting type: conference_abstract user_id: '242294' year: '2023' ... --- _id: '4207' author: - first_name: Sanaullah full_name: Sanaullah, Sanaullah id: '248865' last_name: Sanaullah orcid: 0000-0003-4112-802X orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-4112-802X/work/157718026 - first_name: Thorsten full_name: Jungeblut, Thorsten id: '242294' last_name: Jungeblut orcid: 0000-0001-7425-8766 citation: alphadin: 'Sanaullah, Sanaullah ; Jungeblut, Thorsten: Analysis of MR Images for Early and Accurate Detection of Brain Tumor using Resource Efficient Simulator Brain Analysis. In: . New York USA, 2023' ama: 'Sanaullah S, Jungeblut T. Analysis of MR Images for Early and Accurate Detection of Brain Tumor using Resource Efficient Simulator Brain Analysis. In: New York USA; 2023. doi:10.5281/zenodo.10457930' apa: Sanaullah, S., & Jungeblut, T. (2023). Analysis of MR Images for Early and Accurate Detection of Brain Tumor using Resource Efficient Simulator Brain Analysis. Presented at the 19th International Conference on Machine Learning and Data Mining MLDM, New York USA. https://doi.org/10.5281/zenodo.10457930 bibtex: '@inproceedings{Sanaullah_Jungeblut_2023, place={New York USA}, title={Analysis of MR Images for Early and Accurate Detection of Brain Tumor using Resource Efficient Simulator Brain Analysis}, DOI={10.5281/zenodo.10457930}, author={Sanaullah, Sanaullah and Jungeblut, Thorsten}, year={2023} }' chicago: Sanaullah, Sanaullah, and Thorsten Jungeblut. “Analysis of MR Images for Early and Accurate Detection of Brain Tumor Using Resource Efficient Simulator Brain Analysis.” New York USA, 2023. https://doi.org/10.5281/zenodo.10457930. ieee: S. Sanaullah and T. Jungeblut, “Analysis of MR Images for Early and Accurate Detection of Brain Tumor using Resource Efficient Simulator Brain Analysis,” presented at the 19th International Conference on Machine Learning and Data Mining MLDM, New York USA, 2023. mla: Sanaullah, Sanaullah, and Thorsten Jungeblut. Analysis of MR Images for Early and Accurate Detection of Brain Tumor Using Resource Efficient Simulator Brain Analysis. 2023, doi:10.5281/zenodo.10457930. short: 'S. Sanaullah, T. Jungeblut, in: New York USA, 2023.' conference: end_date: 2023-07-14 location: New York USA name: 19th International Conference on Machine Learning and Data Mining MLDM start_date: 2023-07-13 date_created: 2024-01-04T13:06:32Z date_updated: 2026-03-17T15:28:57Z doi: 10.5281/zenodo.10457930 external_id: zenodo: - 10.5281/zenodo.10457929 keyword: - Brain Analysis - Machine Learning - Simulator - Runtime Simulator language: - iso: eng main_file_link: - open_access: '1' url: https://www.researchgate.net/publication/377117079_Analysis_of_MR_Images_for_Early_and_Accurate_Detection_of_Brain_Tumor_using_Resource_Efficient_Simulator_Brain_Analysis oa: '1' place: New York USA project: - _id: beb248c8-cd75-11ed-b77c-e432b4711f7b name: Institut für Systemdynamik und Mechatronik publication_status: published status: public title: Analysis of MR Images for Early and Accurate Detection of Brain Tumor using Resource Efficient Simulator Brain Analysis type: conference user_id: '242294' year: '2023' ... --- _id: '4073' author: - first_name: Sascha full_name: Armutat, Sascha id: '227314' last_name: Armutat - first_name: Nina full_name: Mauritz, Nina id: '211186' last_name: Mauritz orcid: 0009-0001-1286-4370 - first_name: Malte full_name: Wattenberg, Malte id: '207361' last_name: Wattenberg orcid: 0000-0001-5628-2877 orcid_put_code_url: https://api.orcid.org/v2.0/0000-0001-5628-2877/work/177301673 - first_name: Frank full_name: Bormann, Frank last_name: Bormann citation: alphadin: 'Armutat, Sascha ; Mauritz, Nina ; Wattenberg, Malte ; Bormann, Frank: Digitalisiertes Lernen in der be­trieblichen Weiterbildung – zielgruppenorientierte Akzeptanz-Anforderungen an virtuelle Pro­duktschulungen am Beispiel der Weidmüller Interface GmbH & Co. KG. In: bwp@ Berufs- und Wirtschaftspädagogik – online (2023), Nr. 45, S. 1–22' ama: Armutat S, Mauritz N, Wattenberg M, Bormann F. Digitalisiertes Lernen in der be­trieblichen Weiterbildung – zielgruppenorientierte Akzeptanz-Anforderungen an virtuelle Pro­duktschulungen am Beispiel der Weidmüller Interface GmbH & Co. KG. bwp@ Berufs- und Wirtschaftspädagogik – online. 2023;(45):1-22. apa: Armutat, S., Mauritz, N., Wattenberg, M., & Bormann, F. (2023). Digitalisiertes Lernen in der be­trieblichen Weiterbildung – zielgruppenorientierte Akzeptanz-Anforderungen an virtuelle Pro­duktschulungen am Beispiel der Weidmüller Interface GmbH & Co. KG. bwp@ Berufs- und Wirtschaftspädagogik – online, (45), 1–22. bibtex: '@article{Armutat_Mauritz_Wattenberg_Bormann_2023, title={Digitalisiertes Lernen in der be­trieblichen Weiterbildung – zielgruppenorientierte Akzeptanz-Anforderungen an virtuelle Pro­duktschulungen am Beispiel der Weidmüller Interface GmbH & Co. KG}, number={45}, journal={bwp@ Berufs- und Wirtschaftspädagogik – online}, author={Armutat, Sascha and Mauritz, Nina and Wattenberg, Malte and Bormann, Frank}, year={2023}, pages={1–22} }' chicago: 'Armutat, Sascha, Nina Mauritz, Malte Wattenberg, and Frank Bormann. “Digitalisiertes Lernen in der be­trieblichen Weiterbildung – zielgruppenorientierte Akzeptanz-Anforderungen an virtuelle Pro­duktschulungen am Beispiel der Weidmüller Interface GmbH & Co. KG.” bwp@ Berufs- und Wirtschaftspädagogik – online, no. 45 (2023): 1–22.' ieee: S. Armutat, N. Mauritz, M. Wattenberg, and F. Bormann, “Digitalisiertes Lernen in der be­trieblichen Weiterbildung – zielgruppenorientierte Akzeptanz-Anforderungen an virtuelle Pro­duktschulungen am Beispiel der Weidmüller Interface GmbH & Co. KG,” bwp@ Berufs- und Wirtschaftspädagogik – online, no. 45, pp. 1–22, 2023. mla: Armutat, Sascha, et al. “Digitalisiertes Lernen in der be­trieblichen Weiterbildung – zielgruppenorientierte Akzeptanz-Anforderungen an virtuelle Pro­duktschulungen am Beispiel der Weidmüller Interface GmbH & Co. KG.” bwp@ Berufs- und Wirtschaftspädagogik – online, no. 45, 2023, pp. 1–22. short: S. Armutat, N. Mauritz, M. Wattenberg, F. Bormann, bwp@ Berufs- und Wirtschaftspädagogik – online (2023) 1–22. date_created: 2023-12-19T09:31:42Z date_updated: 2026-03-17T15:28:54Z issue: '45' keyword: - Learning-Management-System - Web-Based-Training - Teilnehmerorientierung - Technologieakzeptanz language: - iso: ger main_file_link: - open_access: '1' url: https://www.bwpat.de/ausgabe45/armutat_etal_bwpat45.pdf oa: '1' page: 1-22 publication: bwp@ Berufs- und Wirtschaftspädagogik – online publication_identifier: issn: - 1618-8543 quality_controlled: '1' status: public title: Digitalisiertes Lernen in der be­trieblichen Weiterbildung – zielgruppenorientierte Akzeptanz-Anforderungen an virtuelle Pro­duktschulungen am Beispiel der Weidmüller Interface GmbH & Co. KG type: journal_article user_id: '207361' year: '2023' ... --- _id: '3729' author: - first_name: Justus full_name: Kösters, Justus last_name: Kösters - first_name: Marvin full_name: Schöne, Marvin id: '218388' last_name: Schöne - first_name: Martin full_name: Kohlhase, Martin id: '226669' last_name: Kohlhase orcid: 0009-0002-9374-0720 citation: alphadin: 'Kösters, Justus ; Schöne, Marvin ; Kohlhase, Martin: Benchmarking of Machine Learning Models for Tabular Scarce Data' ama: Kösters J, Schöne M, Kohlhase M. Benchmarking of Machine Learning Models for Tabular Scarce Data. apa: Kösters, J., Schöne, M., & Kohlhase, M. (n.d.). Benchmarking of Machine Learning Models for Tabular Scarce Data. bibtex: '@book{Kösters_Schöne_Kohlhase, title={Benchmarking of Machine Learning Models for Tabular Scarce Data}, author={Kösters, Justus and Schöne, Marvin and Kohlhase, Martin} }' chicago: Kösters, Justus, Marvin Schöne, and Martin Kohlhase. Benchmarking of Machine Learning Models for Tabular Scarce Data, n.d. ieee: J. Kösters, M. Schöne, and M. Kohlhase, Benchmarking of Machine Learning Models for Tabular Scarce Data. . mla: Kösters, Justus, et al. Benchmarking of Machine Learning Models for Tabular Scarce Data. short: J. Kösters, M. Schöne, M. Kohlhase, Benchmarking of Machine Learning Models for Tabular Scarce Data, n.d. date_created: 2023-11-16T13:43:06Z date_updated: 2026-03-17T15:28:49Z department: - _id: '103' file: - access_level: open_access content_type: application/pdf creator: mschoene date_created: 2023-11-16T13:42:34Z date_updated: 2023-11-16T13:42:34Z file_id: '3730' file_name: BenchmarkingMlModelsScarceData_Koesters.pdf file_size: 329931 relation: main_file success: 1 file_date_updated: 2023-11-16T13:42:34Z has_accepted_license: '1' keyword: - tabular scarce data - industrial design - supervised machine learning models language: - iso: eng main_file_link: - open_access: '1' oa: '1' publication_status: submitted status: public title: Benchmarking of Machine Learning Models for Tabular Scarce Data type: working_paper urn: urn:nbn:de:hbz:bi10-37292 user_id: '220548' year: '2023' ... --- _id: '3731' author: - first_name: Justus full_name: Kösters, Justus last_name: Kösters - first_name: Marvin full_name: Schöne, Marvin id: '218388' last_name: Schöne citation: alphadin: 'Kösters, Justus ; Schöne, Marvin: Active Learning mit dem GUIDE-Entscheidungsbaum' ama: Kösters J, Schöne M. Active Learning mit dem GUIDE-Entscheidungsbaum. apa: Kösters, J., & Schöne, M. (n.d.). Active Learning mit dem GUIDE-Entscheidungsbaum. bibtex: '@book{Kösters_Schöne, title={Active Learning mit dem GUIDE-Entscheidungsbaum}, author={Kösters, Justus and Schöne, Marvin} }' chicago: Kösters, Justus, and Marvin Schöne. Active Learning mit dem GUIDE-Entscheidungsbaum, n.d. ieee: J. Kösters and M. Schöne, Active Learning mit dem GUIDE-Entscheidungsbaum. . mla: Kösters, Justus, and Marvin Schöne. Active Learning mit dem GUIDE-Entscheidungsbaum. short: J. Kösters, M. Schöne, Active Learning mit dem GUIDE-Entscheidungsbaum, n.d. date_created: 2023-11-16T13:59:40Z date_updated: 2026-03-17T15:28:49Z department: - _id: '103' file: - access_level: open_access content_type: application/pdf creator: mschoene date_created: 2023-12-05T15:58:32Z date_updated: 2023-12-05T15:58:32Z file_id: '3779' file_name: Hausarbeit2_JKösters.pdf file_size: 1499967 relation: main_file success: 1 file_date_updated: 2023-12-05T15:58:32Z has_accepted_license: '1' keyword: - Scarce Data - Active Learning - GUIDEAlgorithmus - Modellunsicherheiten language: - iso: ger main_file_link: - open_access: '1' oa: '1' publication_status: unpublished status: public title: Active Learning mit dem GUIDE-Entscheidungsbaum type: working_paper urn: urn:nbn:de:hbz:bi10-37318 user_id: '218388' year: '2023' ... --- _id: '2763' author: - first_name: Sophia full_name: Fries, Sophia id: '234947' last_name: Fries - first_name: Lydia Sophie full_name: Pfeifer, Lydia Sophie id: '233430' last_name: Pfeifer orcid: 0000-0001-9872-0142 - first_name: Katharina full_name: Schlautmann, Katharina id: '226437' last_name: Schlautmann - first_name: Christiane full_name: Freese, Christiane last_name: Freese - first_name: Annette full_name: Nauerth, Annette id: '33965' last_name: Nauerth orcid: 0009-0006-8407-3136 - first_name: Patrizia full_name: Raschper, Patrizia id: '227291' last_name: Raschper citation: alphadin: 'Fries, Sophia ; Pfeifer, Lydia Sophie ; Schlautmann, Katharina ; Freese, Christiane ; Nauerth, Annette ; Raschper, Patrizia: Entwicklung und Erprobung digital gestützter Lernaufgaben mit VR-Szenarien. Das Fortbildungskonzept des Projekts ViRDiPA : Universität Bielefeld, 2023' ama: Fries S, Pfeifer LS, Schlautmann K, Freese C, Nauerth A, Raschper P. Entwicklung Und Erprobung Digital Gestützter Lernaufgaben Mit VR-Szenarien. Das Fortbildungskonzept Des Projekts ViRDiPA. Universität Bielefeld; 2023. doi:10.4119/UNIBI/2978152 apa: Fries, S., Pfeifer, L. S., Schlautmann, K., Freese, C., Nauerth, A., & Raschper, P. (2023). Entwicklung und Erprobung digital gestützter Lernaufgaben mit VR-Szenarien. Das Fortbildungskonzept des Projekts ViRDiPA. Universität Bielefeld. https://doi.org/10.4119/UNIBI/2978152 bibtex: '@book{Fries_Pfeifer_Schlautmann_Freese_Nauerth_Raschper_2023, title={Entwicklung und Erprobung digital gestützter Lernaufgaben mit VR-Szenarien. Das Fortbildungskonzept des Projekts ViRDiPA}, DOI={10.4119/UNIBI/2978152}, publisher={Universität Bielefeld}, author={Fries, Sophia and Pfeifer, Lydia Sophie and Schlautmann, Katharina and Freese, Christiane and Nauerth, Annette and Raschper, Patrizia}, year={2023} }' chicago: Fries, Sophia, Lydia Sophie Pfeifer, Katharina Schlautmann, Christiane Freese, Annette Nauerth, and Patrizia Raschper. Entwicklung Und Erprobung Digital Gestützter Lernaufgaben Mit VR-Szenarien. Das Fortbildungskonzept Des Projekts ViRDiPA. Universität Bielefeld, 2023. https://doi.org/10.4119/UNIBI/2978152. ieee: S. Fries, L. S. Pfeifer, K. Schlautmann, C. Freese, A. Nauerth, and P. Raschper, Entwicklung und Erprobung digital gestützter Lernaufgaben mit VR-Szenarien. Das Fortbildungskonzept des Projekts ViRDiPA. Universität Bielefeld, 2023. mla: Fries, Sophia, et al. Entwicklung Und Erprobung Digital Gestützter Lernaufgaben Mit VR-Szenarien. Das Fortbildungskonzept Des Projekts ViRDiPA. Universität Bielefeld, 2023, doi:10.4119/UNIBI/2978152. short: S. Fries, L.S. Pfeifer, K. Schlautmann, C. Freese, A. Nauerth, P. Raschper, Entwicklung Und Erprobung Digital Gestützter Lernaufgaben Mit VR-Szenarien. Das Fortbildungskonzept Des Projekts ViRDiPA, Universität Bielefeld, 2023. date_created: 2023-04-18T06:23:48Z date_updated: 2026-03-17T15:28:37Z doi: 10.4119/UNIBI/2978152 file: - access_level: open_access content_type: application/pdf creator: lpfeifer date_created: 2023-05-08T12:04:20Z date_updated: 2023-05-08T12:04:20Z file_id: '2847' file_name: WP7_Entwicklung und Erprobung digital gestützter Lernaufgaben mit VR-Szenarien_final.pdf file_size: 1204531 relation: main_file success: 1 file_date_updated: 2023-05-08T12:04:20Z has_accepted_license: '1' keyword: - Pflegeausbildung - SCRUM - Lernortkooperation - Lernaufgaben - Virtuelle Realität - Fortbildung - Nursing education - SCRUM - learning site cooperation - learning tasks - virtual reality - advanced training - divifag - virdipaworkingpaper language: - iso: eng oa: '1' publisher: Universität Bielefeld status: public title: Entwicklung und Erprobung digital gestützter Lernaufgaben mit VR-Szenarien. Das Fortbildungskonzept des Projekts ViRDiPA tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: working_paper urn: urn:nbn:de:hbz:bi10-27631 user_id: '233430' year: '2023' ... --- _id: '2767' article_number: '1521' article_type: original author: - first_name: Niclas full_name: Richter, Niclas id: '224900' last_name: Richter orcid: 0000-0002-8980-0957 orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-8980-0957/work/181737357 - first_name: Khorolsuren full_name: Tuvshinbayar, Khorolsuren id: '222971' last_name: Tuvshinbayar orcid: 0009-0001-7114-1842 orcid_put_code_url: https://api.orcid.org/v2.0/0009-0001-7114-1842/work/181737661 - first_name: Guido full_name: Ehrmann, Guido last_name: Ehrmann - first_name: Andrea full_name: Ehrmann, Andrea id: '223776' last_name: Ehrmann orcid: 0000-0003-0695-3905 orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-0695-3905/work/181737359 citation: alphadin: 'Richter, Niclas ; Tuvshinbayar, Khorolsuren ; Ehrmann, Guido ; Ehrmann, Andrea: Usability of Inexpensive Optical Pulse Sensors for Textile Integration and Heartbeat Detection Code Development. In: Electronics Bd. 12, MDPI AG (2023), Nr. 7' ama: Richter N, Tuvshinbayar K, Ehrmann G, Ehrmann A. Usability of Inexpensive Optical Pulse Sensors for Textile Integration and Heartbeat Detection Code Development. Electronics. 2023;12(7). doi:10.3390/electronics12071521 apa: Richter, N., Tuvshinbayar, K., Ehrmann, G., & Ehrmann, A. (2023). Usability of Inexpensive Optical Pulse Sensors for Textile Integration and Heartbeat Detection Code Development. Electronics, 12(7). https://doi.org/10.3390/electronics12071521 bibtex: '@article{Richter_Tuvshinbayar_Ehrmann_Ehrmann_2023, title={Usability of Inexpensive Optical Pulse Sensors for Textile Integration and Heartbeat Detection Code Development}, volume={12}, DOI={10.3390/electronics12071521}, number={71521}, journal={Electronics}, publisher={MDPI AG}, author={Richter, Niclas and Tuvshinbayar, Khorolsuren and Ehrmann, Guido and Ehrmann, Andrea}, year={2023} }' chicago: Richter, Niclas, Khorolsuren Tuvshinbayar, Guido Ehrmann, and Andrea Ehrmann. “Usability of Inexpensive Optical Pulse Sensors for Textile Integration and Heartbeat Detection Code Development.” Electronics 12, no. 7 (2023). https://doi.org/10.3390/electronics12071521. ieee: N. Richter, K. Tuvshinbayar, G. Ehrmann, and A. Ehrmann, “Usability of Inexpensive Optical Pulse Sensors for Textile Integration and Heartbeat Detection Code Development,” Electronics, vol. 12, no. 7, 2023. mla: Richter, Niclas, et al. “Usability of Inexpensive Optical Pulse Sensors for Textile Integration and Heartbeat Detection Code Development.” Electronics, vol. 12, no. 7, 1521, MDPI AG, 2023, doi:10.3390/electronics12071521. short: N. Richter, K. Tuvshinbayar, G. Ehrmann, A. Ehrmann, Electronics 12 (2023). date_created: 2023-04-18T08:49:13Z date_updated: 2026-03-17T15:28:37Z doi: 10.3390/electronics12071521 file: - access_level: open_access content_type: application/pdf creator: aehrmann date_created: 2023-04-18T08:48:37Z date_updated: 2023-04-18T08:48:37Z file_id: '2768' file_name: _2023_Richter_Electronics12_1521.pdf file_size: 4120222 relation: main_file success: 1 file_date_updated: 2023-04-18T08:48:37Z has_accepted_license: '1' intvolume: ' 12' issue: '7' keyword: - smart textiles - smart clothes - e-textiles - biosignal - vital signal - pulse sensor - microcontroller - washability - display language: - iso: eng oa: '1' publication: Electronics publication_identifier: eissn: - 2079-9292 publication_status: published publisher: MDPI AG quality_controlled: '1' status: public title: Usability of Inexpensive Optical Pulse Sensors for Textile Integration and Heartbeat Detection Code Development tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article urn: urn:nbn:de:hbz:bi10-27676 user_id: '220548' volume: 12 year: '2023' ... --- _id: '2692' author: - first_name: Mia Jasmin full_name: Strecker, Mia Jasmin id: '228997' last_name: Strecker - first_name: Christiane full_name: Freese, Christiane last_name: Freese - first_name: Lisa full_name: Nagel, Lisa id: '227660' last_name: Nagel - first_name: Alexander full_name: Stirner, Alexander id: '241218' last_name: Stirner orcid: 0000-0003-2525-7657 orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-2525-7657/work/181737405 - first_name: Isa full_name: Freese, Isa last_name: Freese - first_name: Anna full_name: Oldak, Anna last_name: Oldak - first_name: Urszula full_name: Hejna, Urszula last_name: Hejna - first_name: Melanie full_name: Pieper, Melanie last_name: Pieper - first_name: Carolin full_name: Hainke, Carolin last_name: Hainke - first_name: Rebecca full_name: Lätzsch, Rebecca last_name: Lätzsch - first_name: Ivonne full_name: Wattenberg, Ivonne last_name: Wattenberg - first_name: Miriam full_name: Falk-Dulisch, Miriam last_name: Falk-Dulisch - first_name: Laura full_name: Liebau, Laura last_name: Liebau - first_name: Anne-Kathrin full_name: Eickelmann, Anne-Kathrin last_name: Eickelmann - first_name: Claudia full_name: Hornberg, Claudia last_name: Hornberg - first_name: Thies full_name: Pfeiffer, Thies last_name: Pfeiffer - first_name: Stefanie full_name: Seeling, Stefanie last_name: Seeling - first_name: Anna-Maria full_name: Kamin, Anna-Maria last_name: Kamin - first_name: Katja full_name: Makowsky, Katja last_name: Makowsky - first_name: Annette full_name: Nauerth, Annette id: '33965' last_name: Nauerth orcid: 0009-0006-8407-3136 orcid_put_code_url: https://api.orcid.org/v2.0/0009-0006-8407-3136/work/181738058 citation: alphadin: 'Strecker, Mia Jasmin ; Freese, Christiane ; Nagel, Lisa ; Stirner, Alexander ; Freese, Isa ; Oldak, Anna ; Hejna, Urszula ; Pieper, Melanie ; u. a.: Didaktisches Fachkonzept zur digitalen und virtuell unterstützten Fallarbeit in den Gesundheitsberufen, 2023' ama: Strecker MJ, Freese C, Nagel L, et al. Didaktisches Fachkonzept zur digitalen und virtuell unterstützten Fallarbeit in den Gesundheitsberufen.; 2023. doi:10.57720/2692 apa: Strecker, M. J., Freese, C., Nagel, L., Stirner, A., Freese, I., Oldak, A., … Nauerth, A. (2023). Didaktisches Fachkonzept zur digitalen und virtuell unterstützten Fallarbeit in den Gesundheitsberufen. https://doi.org/10.57720/2692 bibtex: '@book{Strecker_Freese_Nagel_Stirner_Freese_Oldak_Hejna_Pieper_Hainke_Lätzsch_et al._2023, title={Didaktisches Fachkonzept zur digitalen und virtuell unterstützten Fallarbeit in den Gesundheitsberufen}, DOI={10.57720/2692}, author={Strecker, Mia Jasmin and Freese, Christiane and Nagel, Lisa and Stirner, Alexander and Freese, Isa and Oldak, Anna and Hejna, Urszula and Pieper, Melanie and Hainke, Carolin and Lätzsch, Rebecca and et al.}, year={2023} }' chicago: Strecker, Mia Jasmin, Christiane Freese, Lisa Nagel, Alexander Stirner, Isa Freese, Anna Oldak, Urszula Hejna, et al. Didaktisches Fachkonzept zur digitalen und virtuell unterstützten Fallarbeit in den Gesundheitsberufen, 2023. https://doi.org/10.57720/2692. ieee: M. J. Strecker et al., Didaktisches Fachkonzept zur digitalen und virtuell unterstützten Fallarbeit in den Gesundheitsberufen. 2023. mla: Strecker, Mia Jasmin, et al. Didaktisches Fachkonzept zur digitalen und virtuell unterstützten Fallarbeit in den Gesundheitsberufen. 2023, doi:10.57720/2692. short: M.J. Strecker, C. Freese, L. Nagel, A. Stirner, I. Freese, A. Oldak, U. Hejna, M. Pieper, C. Hainke, R. Lätzsch, I. Wattenberg, M. Falk-Dulisch, L. Liebau, A.-K. Eickelmann, C. Hornberg, T. Pfeiffer, S. Seeling, A.-M. Kamin, K. Makowsky, A. Nauerth, Didaktisches Fachkonzept zur digitalen und virtuell unterstützten Fallarbeit in den Gesundheitsberufen, 2023. date_created: 2023-03-28T06:36:12Z date_updated: 2026-03-17T15:28:35Z doi: 10.57720/2692 file: - access_level: open_access content_type: application/pdf creator: astirner date_created: 2023-03-28T06:44:08Z date_updated: 2023-03-29T13:09:50Z file_id: '2693' file_name: DiViFaG_didaktisches Fachkonzept.pdf file_size: 3003202 relation: erratum - access_level: open_access content_type: application/pdf creator: astirner date_created: 2023-03-29T13:08:36Z date_updated: 2023-03-29T13:08:36Z file_id: '2694' file_name: DiViFaG_Didaktisches Fachkonzept.pdf file_size: 3137155 relation: main_file success: 1 file_date_updated: 2023-03-29T13:09:50Z has_accepted_license: '1' keyword: - Blended Learning - Pflege - Medizin - Fachdidaktik - Digitale Lehre - fallbasiertes Lernen language: - iso: ger oa: '1' page: '228' publication_status: published status: public title: Didaktisches Fachkonzept zur digitalen und virtuell unterstützten Fallarbeit in den Gesundheitsberufen tmp: image: /images/cc_by_sa.png legal_code_url: https://creativecommons.org/licenses/by-sa/4.0/legalcode name: Creative Commons Attribution-ShareAlike 4.0 International Public License (CC BY-SA 4.0) short: CC BY-SA (4.0) type: working_paper urn: urn:nbn:de:hbz:bi10-26921 user_id: '220548' year: '2023' ... --- _id: '2953' author: - first_name: Grit full_name: Behrens, Grit id: '207629' last_name: Behrens orcid: 0009-0009-0247-8204 - first_name: Dennis full_name: Hepp, Dennis last_name: Hepp - first_name: Sebastian full_name: Hempelmann, Sebastian last_name: Hempelmann - first_name: 'Werner ' full_name: 'Friedrich, Werner ' last_name: Friedrich citation: alphadin: 'Behrens, Grit ; Hepp, Dennis ; Hempelmann, Sebastian ; Friedrich, Werner : Detection of snow-coverage on PV-modules with images based on CNN-techniques. In: Wohlgemuth, V. ; Naumann, S. ; Arnd, H.-K. ; Behrens, G. ; Höb, M. ; Gesellschaft für Informatik e.V. (Hrsg.): ENVIROINFO 2022, Lecture Notes in Informatics (LNI) - Proceedings, Volume P-328. Bd. P328. Bonn, 2022' ama: 'Behrens G, Hepp D, Hempelmann S, Friedrich W. Detection of snow-coverage on PV-modules with images based on CNN-techniques. In: Wohlgemuth V, Naumann S, Arnd H-K, Behrens G, Höb M, Gesellschaft für Informatik e.V., eds. ENVIROINFO 2022. Vol P328. Lecture Notes in Informatics (LNI) - Proceedings, Volume P-328. Bonn; 2022.' apa: Behrens, G., Hepp, D., Hempelmann, S., & Friedrich, W. (2022). Detection of snow-coverage on PV-modules with images based on CNN-techniques. In V. Wohlgemuth, S. Naumann, H.-K. Arnd, G. Behrens, M. Höb, & Gesellschaft für Informatik e.V. (Eds.), ENVIROINFO 2022 (Vol. P328). Bonn. bibtex: '@inproceedings{Behrens_Hepp_Hempelmann_Friedrich_2022, place={Bonn}, series={Lecture Notes in Informatics (LNI) - Proceedings, Volume P-328}, title={Detection of snow-coverage on PV-modules with images based on CNN-techniques}, volume={P328}, booktitle={ENVIROINFO 2022}, author={Behrens, Grit and Hepp, Dennis and Hempelmann, Sebastian and Friedrich, Werner }, editor={Wohlgemuth, Volker and Naumann, Stefan and Arnd, Hans-Knud and Behrens, Grit and Höb, Maximilian and Gesellschaft für Informatik e.V.Editors}, year={2022}, collection={Lecture Notes in Informatics (LNI) - Proceedings, Volume P-328} }' chicago: Behrens, Grit, Dennis Hepp, Sebastian Hempelmann, and Werner Friedrich. “Detection of Snow-Coverage on PV-Modules with Images Based on CNN-Techniques.” In ENVIROINFO 2022, edited by Volker Wohlgemuth, Stefan Naumann, Hans-Knud Arnd, Grit Behrens, Maximilian Höb, and Gesellschaft für Informatik e.V., Vol. P328. Lecture Notes in Informatics (LNI) - Proceedings, Volume P-328. Bonn, 2022. ieee: G. Behrens, D. Hepp, S. Hempelmann, and W. Friedrich, “Detection of snow-coverage on PV-modules with images based on CNN-techniques,” in ENVIROINFO 2022, Hamburg, 2022, vol. P328. mla: Behrens, Grit, et al. “Detection of Snow-Coverage on PV-Modules with Images Based on CNN-Techniques.” ENVIROINFO 2022, edited by Volker Wohlgemuth et al., vol. P328, 2022. short: 'G. Behrens, D. Hepp, S. Hempelmann, W. Friedrich, in: V. Wohlgemuth, S. Naumann, H.-K. Arnd, G. Behrens, M. Höb, Gesellschaft für Informatik e.V. (Eds.), ENVIROINFO 2022, Bonn, 2022.' conference: end_date: 2022-09-30 location: Hamburg name: EnviroInfo 2022 start_date: 2022-09-26 corporate_editor: - Gesellschaft für Informatik e.V. date_created: 2023-05-23T16:08:36Z date_updated: 2026-03-17T15:28:39Z department: - _id: '102' editor: - first_name: 'Volker ' full_name: 'Wohlgemuth, Volker ' last_name: Wohlgemuth - first_name: 'Stefan ' full_name: 'Naumann, Stefan ' last_name: Naumann - first_name: Hans-Knud full_name: Arnd, Hans-Knud last_name: Arnd - first_name: 'Grit ' full_name: 'Behrens, Grit ' last_name: Behrens - first_name: Maximilian full_name: Höb, Maximilian last_name: Höb external_id: unknown: - http://dl.gi.de/handle/20.500.12116/39404 jel: - D83 keyword: - convolutional neural network - photovoltaic modules - snow detection - machine learning language: - iso: eng main_file_link: - open_access: '1' url: http://dl.gi.de/handle/20.500.12116/39404 oa: '1' place: Bonn project: - _id: A82B586E-C7DA-11E9-B0AE-1F4CB252D58D name: Adaptive Ertragsprognose mit data-Mining im PV-Feld auf Grundlage iener digitalen Signatur der PV-Module und der Systemkomponenten (PV digital 4.0) publication: ENVIROINFO 2022 publication_identifier: isbn: - "\t978-3-88579-722-7" issn: - "\t1617-5468" publication_status: published quality_controlled: '1' series_title: Lecture Notes in Informatics (LNI) - Proceedings, Volume P-328 status: public title: Detection of snow-coverage on PV-modules with images based on CNN-techniques type: conference user_id: '237837' volume: P328 year: '2022' ... --- _id: '2859' author: - first_name: Klaus full_name: Rüdiger, Klaus id: '220250' last_name: Rüdiger - first_name: Francesca full_name: Cabiddu, Francesca last_name: Cabiddu - first_name: Sissy full_name: Lorenz, Sissy last_name: Lorenz - first_name: Holger full_name: Hartman, Holger last_name: Hartman citation: alphadin: 'Rüdiger, Klaus ; Cabiddu, Francesca ; Lorenz, Sissy ; Hartman, Holger: Diffusion and (mis)perception of internet trust marks in Germany and Italy – a comparative empirical analysis. In: Überwimmer , M. ; Füreder, R. ; Kwiatek, P. (Hrsg.): Proceedings CCBC 2022 – Cross-Cultural Business Conference 2022. Düren : Shaker Verlag, 2022, S. 154–164' ama: 'Rüdiger K, Cabiddu F, Lorenz S, Hartman H. Diffusion and (mis)perception of internet trust marks in Germany and Italy – a comparative empirical analysis. In: Überwimmer M, Füreder R, Kwiatek P, eds. Proceedings CCBC 2022 – Cross-Cultural Business Conference 2022. Düren: Shaker Verlag; 2022:154-164.' apa: 'Rüdiger, K., Cabiddu, F., Lorenz, S., & Hartman, H. (2022). Diffusion and (mis)perception of internet trust marks in Germany and Italy – a comparative empirical analysis. In M. Überwimmer , R. Füreder, & P. Kwiatek (Eds.), Proceedings CCBC 2022 – Cross-Cultural Business Conference 2022 (pp. 154–164). Düren: Shaker Verlag.' bibtex: '@inproceedings{Rüdiger_Cabiddu_Lorenz_Hartman_2022, place={Düren}, title={Diffusion and (mis)perception of internet trust marks in Germany and Italy – a comparative empirical analysis}, booktitle={Proceedings CCBC 2022 – Cross-Cultural Business Conference 2022}, publisher={Shaker Verlag}, author={Rüdiger, Klaus and Cabiddu, Francesca and Lorenz, Sissy and Hartman, Holger}, editor={Überwimmer , Margarethe and Füreder, Robert and Kwiatek, PiotrEditors}, year={2022}, pages={154–164} }' chicago: 'Rüdiger, Klaus, Francesca Cabiddu, Sissy Lorenz, and Holger Hartman. “Diffusion and (Mis)Perception of Internet Trust Marks in Germany and Italy – a Comparative Empirical Analysis.” In Proceedings CCBC 2022 – Cross-Cultural Business Conference 2022, edited by Margarethe Überwimmer , Robert Füreder, and Piotr Kwiatek, 154–64. Düren: Shaker Verlag, 2022.' ieee: K. Rüdiger, F. Cabiddu, S. Lorenz, and H. Hartman, “Diffusion and (mis)perception of internet trust marks in Germany and Italy – a comparative empirical analysis,” in Proceedings CCBC 2022 – Cross-Cultural Business Conference 2022, Steyr, 2022, pp. 154–164. mla: Rüdiger, Klaus, et al. “Diffusion and (Mis)Perception of Internet Trust Marks in Germany and Italy – a Comparative Empirical Analysis.” Proceedings CCBC 2022 – Cross-Cultural Business Conference 2022, edited by Margarethe Überwimmer et al., Shaker Verlag, 2022, pp. 154–64. short: 'K. Rüdiger, F. Cabiddu, S. Lorenz, H. Hartman, in: M. Überwimmer , R. Füreder, P. Kwiatek (Eds.), Proceedings CCBC 2022 – Cross-Cultural Business Conference 2022, Shaker Verlag, Düren, 2022, pp. 154–164.' conference: end_date: 2022-05-13 location: Steyr name: Cross-Cultural Business Conference 2022 start_date: 2022-05-12 date_created: 2023-05-09T06:58:49Z date_updated: 2026-03-17T15:28:38Z editor: - first_name: Margarethe full_name: Überwimmer , Margarethe last_name: 'Überwimmer ' - first_name: Robert full_name: Füreder, Robert last_name: Füreder - first_name: Piotr full_name: Kwiatek, Piotr last_name: Kwiatek file: - access_level: open_access content_type: application/pdf creator: kruediger date_created: 2023-05-30T15:48:32Z date_updated: 2023-05-30T15:48:32Z file_id: '3065' file_name: Ruediger_etal_Trust_marks_GER_IT.pdf file_size: 175258 relation: main_file success: 1 file_date_updated: 2023-05-30T15:48:32Z has_accepted_license: '1' keyword: - B2C e-commerce - online shopping - trust mark - Germany - Italy language: - iso: eng oa: '1' page: 154-164 place: Düren publication: Proceedings CCBC 2022 – Cross-Cultural Business Conference 2022 publication_identifier: isbn: - 978-3-8440-8625-6 publication_status: published publisher: Shaker Verlag quality_controlled: '1' status: public title: Diffusion and (mis)perception of internet trust marks in Germany and Italy – a comparative empirical analysis type: conference urn: urn:nbn:de:hbz:bi10-28596 user_id: '245590' year: '2022' ... --- _id: '2295' article_type: original author: - first_name: Felix full_name: Grumbach, Felix id: '243801' last_name: Grumbach orcid: 0000-0001-6348-7897 - first_name: Anna full_name: Müller, Anna last_name: Müller - first_name: Pascal full_name: Reusch, Pascal last_name: Reusch - first_name: Sebastian full_name: Trojahn, Sebastian last_name: Trojahn citation: alphadin: 'Grumbach, Felix ; Müller, Anna ; Reusch, Pascal ; Trojahn, Sebastian: Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning. In: Journal of Intelligent Manufacturing, Springer Science and Business Media LLC (2022)' ama: Grumbach F, Müller A, Reusch P, Trojahn S. Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning. Journal of Intelligent Manufacturing. 2022. doi:10.1007/s10845-022-02069-x apa: Grumbach, F., Müller, A., Reusch, P., & Trojahn, S. (2022). Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning. Journal of Intelligent Manufacturing. https://doi.org/10.1007/s10845-022-02069-x bibtex: '@article{Grumbach_Müller_Reusch_Trojahn_2022, title={Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning}, DOI={10.1007/s10845-022-02069-x}, journal={Journal of Intelligent Manufacturing}, publisher={Springer Science and Business Media LLC}, author={Grumbach, Felix and Müller, Anna and Reusch, Pascal and Trojahn, Sebastian}, year={2022} }' chicago: Grumbach, Felix, Anna Müller, Pascal Reusch, and Sebastian Trojahn. “Robust-Stable Scheduling in Dynamic Flow Shops Based on Deep Reinforcement Learning.” Journal of Intelligent Manufacturing, 2022. https://doi.org/10.1007/s10845-022-02069-x. ieee: F. Grumbach, A. Müller, P. Reusch, and S. Trojahn, “Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning,” Journal of Intelligent Manufacturing, 2022. mla: Grumbach, Felix, et al. “Robust-Stable Scheduling in Dynamic Flow Shops Based on Deep Reinforcement Learning.” Journal of Intelligent Manufacturing, Springer Science and Business Media LLC, 2022, doi:10.1007/s10845-022-02069-x. short: F. Grumbach, A. Müller, P. Reusch, S. Trojahn, Journal of Intelligent Manufacturing (2022). date_created: 2023-01-10T13:08:37Z date_updated: 2026-03-17T15:28:31Z doi: 10.1007/s10845-022-02069-x jel: - C6 keyword: - Dynamic flow shop - Predictive scheduling - Proactive scheduling - Robust scheduling - Reinforcement learning - Simheuristics language: - iso: eng main_file_link: - open_access: '1' url: https://link.springer.com/article/10.1007/s10845-022-02069-x oa: '1' publication: Journal of Intelligent Manufacturing publication_identifier: eissn: - 1572-8145 issn: - 0956-5515 publication_status: published publisher: Springer Science and Business Media LLC quality_controlled: '1' status: public title: Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: '216459' year: '2022' ... --- _id: '1799' article_number: '2481' author: - first_name: Koenraad full_name: Vandevoorde, Koenraad id: '242844' last_name: Vandevoorde - first_name: Lukas full_name: Vollenkemper, Lukas id: '245570' last_name: Vollenkemper - first_name: Constanze full_name: Schwan, Constanze last_name: Schwan - first_name: Martin full_name: Kohlhase, Martin id: '226669' last_name: Kohlhase orcid: 0009-0002-9374-0720 - first_name: Wolfram full_name: Schenck, Wolfram id: '224375' last_name: Schenck orcid: 0000-0003-3300-2048 citation: alphadin: 'Vandevoorde, Koenraad ; Vollenkemper, Lukas ; Schwan, Constanze ; Kohlhase, Martin ; Schenck, Wolfram: Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks. In: Sensors Bd. 22, MDPI AG (2022), Nr. 7' ama: Vandevoorde K, Vollenkemper L, Schwan C, Kohlhase M, Schenck W. Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks. Sensors. 2022;22(7). doi:10.3390/s22072481 apa: Vandevoorde, K., Vollenkemper, L., Schwan, C., Kohlhase, M., & Schenck, W. (2022). Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks. Sensors, 22(7). https://doi.org/10.3390/s22072481 bibtex: '@article{Vandevoorde_Vollenkemper_Schwan_Kohlhase_Schenck_2022, title={Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks}, volume={22}, DOI={10.3390/s22072481}, number={72481}, journal={Sensors}, publisher={MDPI AG}, author={Vandevoorde, Koenraad and Vollenkemper, Lukas and Schwan, Constanze and Kohlhase, Martin and Schenck, Wolfram}, year={2022} }' chicago: Vandevoorde, Koenraad, Lukas Vollenkemper, Constanze Schwan, Martin Kohlhase, and Wolfram Schenck. “Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks.” Sensors 22, no. 7 (2022). https://doi.org/10.3390/s22072481. ieee: K. Vandevoorde, L. Vollenkemper, C. Schwan, M. Kohlhase, and W. Schenck, “Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks,” Sensors, vol. 22, no. 7, 2022. mla: Vandevoorde, Koenraad, et al. “Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks.” Sensors, vol. 22, no. 7, 2481, MDPI AG, 2022, doi:10.3390/s22072481. short: K. Vandevoorde, L. Vollenkemper, C. Schwan, M. Kohlhase, W. Schenck, Sensors 22 (2022). date_created: 2022-04-04T10:08:43Z date_updated: 2026-03-17T15:28:25Z doi: 10.3390/s22072481 file: - access_level: open_access content_type: application/pdf creator: kvandevoorde date_created: 2022-04-04T10:07:48Z date_updated: 2022-04-04T10:07:48Z file_id: '1800' file_name: sensors-22-02481-v3.pdf file_size: 2869767 relation: main_file success: 1 file_date_updated: 2022-04-04T10:07:48Z has_accepted_license: '1' intvolume: ' 22' issue: '7' keyword: - motor learning - motor skill learning - assistance system - artificial intelligence - machine learning - pose estimation - action recognition - human motion analysis language: - iso: eng main_file_link: - open_access: '1' url: https://www.mdpi.com/1424-8220/22/7/2481 oa: '1' publication: Sensors publication_identifier: eissn: - 1424-8220 publication_status: published publisher: MDPI AG quality_controlled: '1' status: public title: Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article urn: urn:nbn:de:hbz:bi10-17992 user_id: '245590' volume: 22 year: '2022' ...