[{"year":"2026","type":"conference","conference":{"start_date":"2026-06-05","end_date":"2026-06-11","name":"2026 The First International Conference on Security and Cybersecurity in the AI and Digital Context","location":"Porto, Portugal"},"title":"ADRIAN InstructFace-Edit - Towards Robust Detection of AI-Manipulated Face Images","project":[{"_id":"f432a2ee-bceb-11ed-a251-a83585c5074d","name":"Institute for Data Science Solutions"}],"keyword":["Deepfakes","Image forensics","Diffusion models","Computer vision"],"oa":"1","publication_status":"accepted","date_created":"2026-06-19T16:23:04Z","date_updated":"2026-10-05T07:54:25Z","publication":"2026 The First International Conference on Security and Cybersecurity in the AI and Digital Context","status":"public","language":[{"iso":"eng"}],"publication_identifier":{"isbn":["978-1-68558-449-8"]},"user_id":"252442","_id":"6998","citation":{"apa":"Vovchenko, V., Barberi, V., Schultenkämper, S., &#38; Bäumer, F. (n.d.). ADRIAN InstructFace-Edit - Towards Robust Detection of AI-Manipulated Face Images. In <i>2026 The First International Conference on Security and Cybersecurity in the AI and Digital Context</i>. Porto, Portugal.","chicago":"Vovchenko, Viktoriia, Vincenzo Barberi, Sergej Schultenkämper, and Frederik Bäumer. “ADRIAN InstructFace-Edit - Towards Robust Detection of AI-Manipulated Face Images.” In <i>2026 The First International Conference on Security and Cybersecurity in the AI and Digital Context</i>, n.d.","bibtex":"@inproceedings{Vovchenko_Barberi_Schultenkämper_Bäumer, title={ADRIAN InstructFace-Edit - Towards Robust Detection of AI-Manipulated Face Images}, booktitle={2026 The First International Conference on Security and Cybersecurity in the AI and Digital Context}, author={Vovchenko, Viktoriia and Barberi, Vincenzo and Schultenkämper, Sergej and Bäumer, Frederik} }","ama":"Vovchenko V, Barberi V, Schultenkämper S, Bäumer F. ADRIAN InstructFace-Edit - Towards Robust Detection of AI-Manipulated Face Images. In: <i>2026 The First International Conference on Security and Cybersecurity in the AI and Digital Context</i>.","alphadin":"<span style=\"font-variant:small-caps;\">Vovchenko, Viktoriia</span> ; <span style=\"font-variant:small-caps;\">Barberi, Vincenzo</span> ; <span style=\"font-variant:small-caps;\">Schultenkämper, Sergej</span> ; <span style=\"font-variant:small-caps;\">Bäumer, Frederik</span>: ADRIAN InstructFace-Edit - Towards Robust Detection of AI-Manipulated Face Images. In: <i>2026 The First International Conference on Security and Cybersecurity in the AI and Digital Context</i>","ieee":"V. Vovchenko, V. Barberi, S. Schultenkämper, and F. Bäumer, “ADRIAN InstructFace-Edit - Towards Robust Detection of AI-Manipulated Face Images,” in <i>2026 The First International Conference on Security and Cybersecurity in the AI and Digital Context</i>, Porto, Portugal.","mla":"Vovchenko, Viktoriia, et al. “ADRIAN InstructFace-Edit - Towards Robust Detection of AI-Manipulated Face Images.” <i>2026 The First International Conference on Security and Cybersecurity in the AI and Digital Context</i>.","short":"V. Vovchenko, V. Barberi, S. Schultenkämper, F. Bäumer, in: 2026 The First International Conference on Security and Cybersecurity in the AI and Digital Context, n.d."},"main_file_link":[{"url":"https://www.dtrsociety.org/library/contribution/cybersec2026_20057/","open_access":"1"}],"author":[{"id":"252442","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0004-9798-1112/work/218229244","full_name":"Vovchenko, Viktoriia","first_name":"Viktoriia","last_name":"Vovchenko","orcid":"0009-0004-9798-1112"},{"orcid":"0009-0007-8171-1208","last_name":"Barberi","first_name":"Vincenzo","full_name":"Barberi, Vincenzo","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0007-8171-1208/work/224815720","id":"248039"},{"id":"236164","first_name":"Sergej","last_name":"Schultenkämper","orcid":"0009-0005-6858-9813","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0005-6858-9813/work/218229246","full_name":"Schultenkämper, Sergej"},{"first_name":"Frederik","last_name":"Bäumer","orcid":"0000-0002-0826-0144","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-0826-0144/work/218229247","full_name":"Bäumer, Frederik","id":"241734"}]},{"type":"conference","year":"2026","keyword":["Digitalisierung","KI-Agenten","Geschäftsmodelle","Personalberatung","Professional Service Firms"],"title":"Call my Agent! Die Auswirkung von KI-Agenten auf das Geschäftsmodell von Professional Service Firms am Beispiel des Executive Search","project":[{"name":"Institute for Data Science Solutions","_id":"f432a2ee-bceb-11ed-a251-a83585c5074d"}],"conference":{"start_date":"2026-09-23","end_date":"2026-09-23","location":"International University (IU), online","name":"Wiss. Workshop: Gemeinsam die Technologieorganisation der Zukunft gestalten: Vom Werk zum Netzwerk - Netzwerktreffen Autor:innen"},"user_id":"220548","language":[{"iso":"ger"}],"abstract":[{"text":"Mit dem Aufkommen von KI-Agenten wandelt sich die Rolle Künstlicher Intelligenz im Recruiting vom unterstützenden Werkzeug zum eigenständig handelnden Akteur. Der Vortrag untersucht am Beispiel der Personalberatung bzw. des Executive Search, wie sich dadurch der klassische sechsstufige Suchprozess sowie das Geschäftsmodell der Branche verändern – basierend auf Literaturauswertung und Experteninterviews mit Personalverantwortlichen und Executive-Search-Partnern. Mithilfe des Business Model Canvas werden Verschiebungen bei Ressourcen, Partnerschaften und Erlösmodellen aufgezeigt; drei Zukunftsszenarien (Verstärkung, Plattform, Disintermediation) sowie Governance-Implikationen runden den Vortrag ab. Der Beitrag knüpft an die vorangegangene Analyse „AI or die?!\" an, die PSF-Geschäftsmodelle branchenübergreifend verglich.","lang":"eng"}],"status":"public","publication":"Wiss. Workshop: Gemeinsam die Technologieorganisation der Zukunft gestalten: Vom Werk zum Netzwerk - Netzwerktreffen Autor:innen, International University (IU), online, 23.09.","date_updated":"2026-09-24T13:36:30Z","date_created":"2026-09-23T12:35:05Z","publication_status":"published","author":[{"first_name":"Christian","last_name":"Haas","full_name":"Haas, Christian"},{"last_name":"Kampe","orcid":"0000-0003-1217-1360","first_name":"Tim","full_name":"Kampe, Tim","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-1217-1360/work/227570235","id":"222105"}],"_id":"7178","citation":{"bibtex":"@inproceedings{Haas_Kampe_2026, title={Call my Agent! Die Auswirkung von KI-Agenten auf das Geschäftsmodell von Professional Service Firms am Beispiel des Executive Search}, booktitle={Wiss. Workshop: Gemeinsam die Technologieorganisation der Zukunft gestalten: Vom Werk zum Netzwerk - Netzwerktreffen Autor:innen, International University (IU), online, 23.09.}, author={Haas, Christian and Kampe, Tim}, year={2026} }","ama":"Haas C, Kampe T. Call my Agent! Die Auswirkung von KI-Agenten auf das Geschäftsmodell von Professional Service Firms am Beispiel des Executive Search. In: <i>Wiss. Workshop: Gemeinsam die Technologieorganisation der Zukunft gestalten: Vom Werk zum Netzwerk - Netzwerktreffen Autor:innen, International University (IU), online, 23.09.</i> ; 2026.","alphadin":"<span style=\"font-variant:small-caps;\">Haas, Christian</span> ; <span style=\"font-variant:small-caps;\">Kampe, Tim</span>: Call my Agent! Die Auswirkung von KI-Agenten auf das Geschäftsmodell von Professional Service Firms am Beispiel des Executive Search. In: <i>Wiss. Workshop: Gemeinsam die Technologieorganisation der Zukunft gestalten: Vom Werk zum Netzwerk - Netzwerktreffen Autor:innen, International University (IU), online, 23.09.</i>, 2026","mla":"Haas, Christian, and Tim Kampe. “Call my Agent! Die Auswirkung von KI-Agenten auf das Geschäftsmodell von Professional Service Firms am Beispiel des Executive Search.” <i>Wiss. Workshop: Gemeinsam die Technologieorganisation der Zukunft gestalten: Vom Werk zum Netzwerk - Netzwerktreffen Autor:innen, International University (IU), online, 23.09.</i>, 2026.","ieee":"C. Haas and T. Kampe, “Call my Agent! Die Auswirkung von KI-Agenten auf das Geschäftsmodell von Professional Service Firms am Beispiel des Executive Search,” in <i>Wiss. Workshop: Gemeinsam die Technologieorganisation der Zukunft gestalten: Vom Werk zum Netzwerk - Netzwerktreffen Autor:innen, International University (IU), online, 23.09.</i>, International University (IU), online, 2026.","short":"C. Haas, T. Kampe, in: Wiss. Workshop: Gemeinsam die Technologieorganisation der Zukunft gestalten: Vom Werk zum Netzwerk - Netzwerktreffen Autor:innen, International University (IU), online, 23.09., 2026.","chicago":"Haas, Christian, and Tim Kampe. “Call my Agent! Die Auswirkung von KI-Agenten auf das Geschäftsmodell von Professional Service Firms am Beispiel des Executive Search.” In <i>Wiss. Workshop: Gemeinsam die Technologieorganisation der Zukunft gestalten: Vom Werk zum Netzwerk - Netzwerktreffen Autor:innen, International University (IU), online, 23.09.</i>, 2026.","apa":"Haas, C., &#38; Kampe, T. (2026). Call my Agent! Die Auswirkung von KI-Agenten auf das Geschäftsmodell von Professional Service Firms am Beispiel des Executive Search. In <i>Wiss. Workshop: Gemeinsam die Technologieorganisation der Zukunft gestalten: Vom Werk zum Netzwerk - Netzwerktreffen Autor:innen, International University (IU), online, 23.09.</i> International University (IU), online."}},{"type":"conference","year":"2026","project":[{"name":"Institute for Data Science Solutions","_id":"f432a2ee-bceb-11ed-a251-a83585c5074d"}],"quality_controlled":"1","title":"Agentic AI und Vibe Coding im Finanz- und Rechnungswesen: Anwendungsfälle, Chancen und Risiken für KMU und Familienunternehmen","keyword":["Digitalisierung","Künstliche Intelligenz","Automatisierung","Rechnungswesen","Finanzwesen"],"conference":{"name":"CARF Luzern 2026 - Controlling. Accounting. Risiko. Finanzen. ","location":"Luzern","end_date":"2026-09-11","start_date":"2026-09-10"},"language":[{"iso":"ger"}],"abstract":[{"lang":"ger","text":"Dieser Beitrag untersucht die Potenziale von Agentic AI und Vibe Coding im Finanz- und Rechnungswesen mittelständischer Unternehmen. Angesichts von Fachkräftemangel und Prozessineffizienzen rücken autonome KI-Systeme und neue Programmierparadigmen zunehmend in den Fokus. Da diese Technologien noch eine geringe Marktdurchdringung aufweisen, nutzt die Studie sieben Large Language Models (LLMs) als exploratives Forschungsinstrument zur systematischen Identifikation und Bewertung von Anwendungsfeldern, Chancen und Risiken. Die Ergebnisse zeigen, dass Agentic AI als Schlüsseltechnologie für die autonome Prozessautomatisierung fungiert, während Vibe Coding die agile Entwicklung individueller Lösungen demokratisiert. Im Vergleich zur Vorstudie 2024/2025 zeigt sich eine signifikante technologische Konkretisierung bei gleichzeitig gestiegenen Anforderungen an Governance und Qualitätssicherung. Die Untersuchung unterstreicht den Wandel hin zu agentischen Architekturen und betont die Notwendigkeit von Hybridwissen, um Effizienzgewinne mit Sicherheitsanforderungen in Einklang zu bringen."}],"user_id":"222105","publication_status":"published","date_created":"2026-09-11T13:23:33Z","date_updated":"2026-09-23T12:37:33Z","publication":"CARF Luzern 2026 - Controlling. Accounting. Risiko. Finanzen. Luzern, 10.-11.09.","status":"public","author":[{"first_name":"Andreas","last_name":"Uphaus","full_name":"Uphaus, Andreas","id":"213333"},{"id":"222105","first_name":"Tim","last_name":"Kampe","orcid":"0000-0003-1217-1360","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-1217-1360/work/226428802","full_name":"Kampe, Tim"}],"_id":"7155","citation":{"chicago":"Uphaus, Andreas, and Tim Kampe. “Agentic AI und Vibe Coding im Finanz- und Rechnungswesen: Anwendungsfälle, Chancen und Risiken für KMU und Familienunternehmen.” In <i>CARF Luzern 2026 - Controlling. Accounting. Risiko. Finanzen. Luzern, 10.-11.09.</i>, 2026.","apa":"Uphaus, A., &#38; Kampe, T. (2026). Agentic AI und Vibe Coding im Finanz- und Rechnungswesen: Anwendungsfälle, Chancen und Risiken für KMU und Familienunternehmen. In <i>CARF Luzern 2026 - Controlling. Accounting. Risiko. Finanzen. Luzern, 10.-11.09.</i> Luzern.","short":"A. Uphaus, T. Kampe, in: CARF Luzern 2026 - Controlling. Accounting. Risiko. Finanzen. Luzern, 10.-11.09., 2026.","ieee":"A. Uphaus and T. Kampe, “Agentic AI und Vibe Coding im Finanz- und Rechnungswesen: Anwendungsfälle, Chancen und Risiken für KMU und Familienunternehmen,” in <i>CARF Luzern 2026 - Controlling. Accounting. Risiko. Finanzen. Luzern, 10.-11.09.</i>, Luzern, 2026.","mla":"Uphaus, Andreas, and Tim Kampe. “Agentic AI und Vibe Coding im Finanz- und Rechnungswesen: Anwendungsfälle, Chancen und Risiken für KMU und Familienunternehmen.” <i>CARF Luzern 2026 - Controlling. Accounting. Risiko. Finanzen. Luzern, 10.-11.09.</i>, 2026.","alphadin":"<span style=\"font-variant:small-caps;\">Uphaus, Andreas</span> ; <span style=\"font-variant:small-caps;\">Kampe, Tim</span>: Agentic AI und Vibe Coding im Finanz- und Rechnungswesen: Anwendungsfälle, Chancen und Risiken für KMU und Familienunternehmen. In: <i>CARF Luzern 2026 - Controlling. Accounting. Risiko. Finanzen. Luzern, 10.-11.09.</i>, 2026","ama":"Uphaus A, Kampe T. Agentic AI und Vibe Coding im Finanz- und Rechnungswesen: Anwendungsfälle, Chancen und Risiken für KMU und Familienunternehmen. In: <i>CARF Luzern 2026 - Controlling. Accounting. Risiko. Finanzen. Luzern, 10.-11.09.</i> ; 2026.","bibtex":"@inproceedings{Uphaus_Kampe_2026, title={Agentic AI und Vibe Coding im Finanz- und Rechnungswesen: Anwendungsfälle, Chancen und Risiken für KMU und Familienunternehmen}, booktitle={CARF Luzern 2026 - Controlling. Accounting. Risiko. Finanzen. Luzern, 10.-11.09.}, author={Uphaus, Andreas and Kampe, Tim}, year={2026} }"}},{"year":"2026","type":"conference","doi":"10.25673/123544","publisher":"Otto von Guericke University Library, Magdeburg, Germany","conference":{"start_date":"2026-06-15","end_date":"2026-06-16","location":"Magdeburg","name":"19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management"},"project":[{"_id":"f432a2ee-bceb-11ed-a251-a83585c5074d","name":"Institute for Data Science Solutions"}],"quality_controlled":"1","title":"Smart data adapter: A hybrid pattern-LLM approach","keyword":["Semantic Data Type Detection","DigitalTwin","Manufacturing SMEs","Zero-shot Learning","Hybrid AI","LLM"],"publication":"19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management","date_updated":"2026-07-20T08:11:01Z","status":"public","publication_status":"published","date_created":"2026-07-16T18:51:32Z","user_id":"220548","language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"Adopting digital twin technologies in small andmedium-sized enterprises (SMEs) is often hinderedby heterogeneous, poorly documented productiondata. Current semantic type detection approachesrequire massive labeled datasets making themimpractical for resource-constrained SMEs. Wepropose a zero-shot hybrid framework combiningpattern-based classification with selective largelanguage model (LLM) reasoning formanufacturing-specific data types. The two-stagearchitecture uses rule-based patterns for high-confidence cases, forwarding ambiguous columnsto a multi-step LLM reasoner. Evaluation on fourmanufacturing datasets shows the hybrid approachachieves weighted F1 within 7 24 percentagepoints of pure LLM classification performancewhile reducing LLM invocations by 39% onaverage. Processing time decreased by up to 2.8×.Our framework addresses a critical gap: automated,computationally efficient data type recognition formanufacturing SMEs without requiring trainingdata, contributing to automated simulation anddigital twin construction."}],"main_file_link":[{"url":"https://opendata.uni-halle.de/bitstream/1981185920/125478/1/DW16_Smart%20Data%20Adapter%20A%20Hybrid%20Pattern-LLM%20Approach.pdf"}],"citation":{"ieee":"L. Döring, S. Trojahn, and P. Reusch, “Smart data adapter: A hybrid pattern-LLM approach,” in <i>19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management</i>, Magdeburg, 2026.","mla":"Döring, Lina, et al. “Smart Data Adapter: A Hybrid Pattern-LLM Approach.” <i>19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management</i>, edited by Fabian Behrendt et al., Otto von Guericke University Library, Magdeburg, Germany, 2026, doi:<a href=\"https://doi.org/10.25673/123544\">10.25673/123544</a>.","alphadin":"<span style=\"font-variant:small-caps;\">Döring, Lina</span> ; <span style=\"font-variant:small-caps;\">Trojahn, Sebastian</span> ; <span style=\"font-variant:small-caps;\">Reusch, Pascal</span>: Smart data adapter: A hybrid pattern-LLM approach. In: <span style=\"font-variant:small-caps;\">Behrendt, F.</span> ; <span style=\"font-variant:small-caps;\">Zadek, H.</span> ; <span style=\"font-variant:small-caps;\">Janmontree, J.</span> ; <span style=\"font-variant:small-caps;\">Trojahn, S.</span> ; <span style=\"font-variant:small-caps;\">Lang, S.</span> (Hrsg.): <i>19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management</i> : Otto von Guericke University Library, Magdeburg, Germany, 2026","short":"L. Döring, S. Trojahn, P. Reusch, in: F. Behrendt, H. Zadek, J. Janmontree, S. Trojahn, S. Lang (Eds.), 19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management, Otto von Guericke University Library, Magdeburg, Germany, 2026.","ama":"Döring L, Trojahn S, Reusch P. Smart data adapter: A hybrid pattern-LLM approach. In: Behrendt F, Zadek H, Janmontree J, Trojahn S, Lang S, eds. <i>19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management</i>. Otto von Guericke University Library, Magdeburg, Germany; 2026. doi:<a href=\"https://doi.org/10.25673/123544\">10.25673/123544</a>","bibtex":"@inproceedings{Döring_Trojahn_Reusch_2026, title={Smart data adapter: A hybrid pattern-LLM approach}, DOI={<a href=\"https://doi.org/10.25673/123544\">10.25673/123544</a>}, booktitle={19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management}, publisher={Otto von Guericke University Library, Magdeburg, Germany}, author={Döring, Lina and Trojahn, Sebastian and Reusch, Pascal}, editor={Behrendt, Fabian and Zadek, Hartmut and Janmontree, Jettarat and Trojahn, Sebastian and Lang, SebastianEditors}, year={2026} }","chicago":"Döring, Lina, Sebastian Trojahn, and Pascal Reusch. “Smart Data Adapter: A Hybrid Pattern-LLM Approach.” In <i>19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management</i>, edited by Fabian Behrendt, Hartmut Zadek, Jettarat Janmontree, Sebastian Trojahn, and Sebastian Lang. Otto von Guericke University Library, Magdeburg, Germany, 2026. <a href=\"https://doi.org/10.25673/123544\">https://doi.org/10.25673/123544</a>.","apa":"Döring, L., Trojahn, S., &#38; Reusch, P. (2026). Smart data adapter: A hybrid pattern-LLM approach. In F. Behrendt, H. Zadek, J. Janmontree, S. Trojahn, &#38; S. Lang (Eds.), <i>19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management</i>. Magdeburg: Otto von Guericke University Library, Magdeburg, Germany. <a href=\"https://doi.org/10.25673/123544\">https://doi.org/10.25673/123544</a>"},"_id":"7068","department":[{"_id":"103"}],"editor":[{"first_name":"Fabian","last_name":"Behrendt","full_name":"Behrendt, Fabian"},{"last_name":"Zadek","first_name":"Hartmut","full_name":"Zadek, Hartmut"},{"full_name":"Janmontree, Jettarat","last_name":"Janmontree","first_name":"Jettarat"},{"last_name":"Trojahn","first_name":"Sebastian","full_name":"Trojahn, Sebastian"},{"full_name":"Lang, Sebastian","last_name":"Lang","first_name":"Sebastian"}],"author":[{"id":"231689","last_name":"Döring","orcid":"0009-0000-3555-4183","first_name":"Lina","full_name":"Döring, Lina","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0000-3555-4183/work/221016189"},{"first_name":"Sebastian","last_name":"Trojahn","full_name":"Trojahn, Sebastian"},{"id":"223271","full_name":"Reusch, Pascal","first_name":"Pascal","last_name":"Reusch"}]},{"user_id":"220548","language":[{"iso":"eng"}],"corporate_editor":["Association for Computing Machinery"],"publication_identifier":{"isbn":["9798400722288"]},"date_updated":"2026-07-03T15:07:37Z","publication":"Proceedings of the 2026 9th International Conference on Computers in Management and Business","status":"public","publication_status":"published","date_created":"2026-07-03T07:57:42Z","page":"102-106","author":[{"id":"237874","last_name":"Schwede","orcid":"0009-0003-0431-6547","first_name":"Christian","full_name":"Schwede, Christian","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0003-0431-6547/work/219583826"},{"first_name":"Lennart","last_name":"Schipper","full_name":"Schipper, Lennart"},{"last_name":"Cirullies","first_name":"Jan","full_name":"Cirullies, Jan"}],"main_file_link":[{"open_access":"1"}],"_id":"7036","citation":{"apa":"Schwede, C., Schipper, L., &#38; Cirullies, J. (2026). Enabling Non-Simulation Experts to Adapt Digital Twins during Production System Redesign using Agentic AI. In Association for Computing Machinery (Ed.), <i>Proceedings of the 2026 9th International Conference on Computers in Management and Business</i> (pp. 102–106). New York, NY, USA: ACM. <a href=\"https://doi.org/10.1145/3802463.3802479\">https://doi.org/10.1145/3802463.3802479</a>","chicago":"Schwede, Christian, Lennart Schipper, and Jan Cirullies. “Enabling Non-Simulation Experts to Adapt Digital Twins during Production System Redesign Using Agentic AI.” In <i>Proceedings of the 2026 9th International Conference on Computers in Management and Business</i>, edited by Association for Computing Machinery, 102–6. New York, NY, USA: ACM, 2026. <a href=\"https://doi.org/10.1145/3802463.3802479\">https://doi.org/10.1145/3802463.3802479</a>.","bibtex":"@inproceedings{Schwede_Schipper_Cirullies_2026, place={New York, NY, USA}, title={Enabling Non-Simulation Experts to Adapt Digital Twins during Production System Redesign using Agentic AI}, DOI={<a href=\"https://doi.org/10.1145/3802463.3802479\">10.1145/3802463.3802479</a>}, booktitle={Proceedings of the 2026 9th International Conference on Computers in Management and Business}, publisher={ACM}, author={Schwede, Christian and Schipper, Lennart and Cirullies, Jan}, editor={Association for Computing MachineryEditor}, year={2026}, pages={102–106} }","ama":"Schwede C, Schipper L, Cirullies J. Enabling Non-Simulation Experts to Adapt Digital Twins during Production System Redesign using Agentic AI. In: Association for Computing Machinery, ed. <i>Proceedings of the 2026 9th International Conference on Computers in Management and Business</i>. New York, NY, USA: ACM; 2026:102-106. doi:<a href=\"https://doi.org/10.1145/3802463.3802479\">10.1145/3802463.3802479</a>","short":"C. Schwede, L. Schipper, J. Cirullies, in: Association for Computing Machinery (Ed.), Proceedings of the 2026 9th International Conference on Computers in Management and Business, ACM, New York, NY, USA, 2026, pp. 102–106.","alphadin":"<span style=\"font-variant:small-caps;\">Schwede, Christian</span> ; <span style=\"font-variant:small-caps;\">Schipper, Lennart</span> ; <span style=\"font-variant:small-caps;\">Cirullies, Jan</span>: Enabling Non-Simulation Experts to Adapt Digital Twins during Production System Redesign using Agentic AI. In: <span style=\"font-variant:small-caps;\">Association for Computing Machinery</span> (Hrsg.): <i>Proceedings of the 2026 9th International Conference on Computers in Management and Business</i>. New York, NY, USA : ACM, 2026, S. 102–106","mla":"Schwede, Christian, et al. “Enabling Non-Simulation Experts to Adapt Digital Twins during Production System Redesign Using Agentic AI.” <i>Proceedings of the 2026 9th International Conference on Computers in Management and Business</i>, edited by Association for Computing Machinery, ACM, 2026, pp. 102–06, doi:<a href=\"https://doi.org/10.1145/3802463.3802479\">10.1145/3802463.3802479</a>.","ieee":"C. Schwede, L. Schipper, and J. Cirullies, “Enabling Non-Simulation Experts to Adapt Digital Twins during Production System Redesign using Agentic AI,” in <i>Proceedings of the 2026 9th International Conference on Computers in Management and Business</i>, Tokyo Japan, 2026, pp. 102–106."},"doi":"10.1145/3802463.3802479","type":"conference","publisher":"ACM","year":"2026","place":"New York, NY, USA","oa":"1","title":"Enabling Non-Simulation Experts to Adapt Digital Twins during Production System Redesign using Agentic AI","project":[{"_id":"f432a2ee-bceb-11ed-a251-a83585c5074d","name":"Institute for Data Science Solutions"}],"quality_controlled":"1","conference":{"end_date":"2026-03-01","name":"ICCMB 2026: 2026 9th International Conference on Computers in Management and Business","location":"Tokyo Japan","start_date":"2026-02-27"}},{"citation":{"ieee":"M. Kobert <i>et al.</i>, “Teaming at a Distance: Insights from a Qualitative Study of Telepresence Robot–Mediated Collaboration,” in <i>2026 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO)</i>, Vienna, Austria, 2026, pp. 192–197.","mla":"Kobert, Maria, et al. “Teaming at a Distance: Insights from a Qualitative Study of Telepresence Robot–Mediated Collaboration.” <i>2026 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)</i>, edited by IEEE, IEEE, 2026, pp. 192–97, doi:<a href=\"https://doi.org/10.1109/ARSO68304.2026.11536141\">10.1109/ARSO68304.2026.11536141</a>.","alphadin":"<span style=\"font-variant:small-caps;\">Kobert, Maria</span> ; <span style=\"font-variant:small-caps;\">Brade, Jennifer</span> ; <span style=\"font-variant:small-caps;\">Mandl, Sarah</span> ; <span style=\"font-variant:small-caps;\">Vitt, Valeska</span> ; <span style=\"font-variant:small-caps;\">Lischka, Susanne</span> ; <span style=\"font-variant:small-caps;\">Strobel, Anja</span> ; <span style=\"font-variant:small-caps;\">Klimant, Franziska</span> ; <span style=\"font-variant:small-caps;\">Süße, Thomas</span>: Teaming at a Distance: Insights from a Qualitative Study of Telepresence Robot–Mediated Collaboration. 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International Workshops of ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Revised Selected Papers, Part IV}, publisher={Springer Nature Switzerland}, author={Jaster, Bjarne and Tharwat, Alaa and Sheikh, Eiram Mahera and Kohlhase, Martin and Schenck, Wolfram}, editor={Koprinska, Irena and Mendes-Moreira, João and Branco, PaulaEditors}, year={2026}, pages={5–21}, collection={Communications in Computer and Information Science} }","ama":"Jaster B, Tharwat A, Sheikh EM, Kohlhase M, Schenck W. Low Query Budget Active Learning for Classification and Regression. In: Koprinska I, Mendes-Moreira J, Branco P, eds. <i>Machine Learning and Principles and Practice of Knowledge Discovery in Databases. International Workshops of ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Revised Selected Papers, Part IV</i>. Communications in Computer and Information Science. Cham: Springer Nature Switzerland; 2026:5-21. doi:<a href=\"https://doi.org/10.1007/978-3-032-19105-2_1\">10.1007/978-3-032-19105-2_1</a>"},"main_file_link":[{"url":"https://rdcu.be/fh03T","open_access":"1"}],"author":[{"full_name":"Jaster, Bjarne","first_name":"Bjarne","orcid":"0000-0002-8362-5369","last_name":"Jaster","id":"252434"},{"full_name":"Tharwat, Alaa","first_name":"Alaa","last_name":"Tharwat","id":"238549"},{"full_name":"Sheikh, Eiram Mahera","first_name":"Eiram Mahera","last_name":"Sheikh"},{"id":"226669","full_name":"Kohlhase, Martin","first_name":"Martin","orcid":"0009-0002-9374-0720","last_name":"Kohlhase"},{"id":"224375","last_name":"Schenck","orcid":"0000-0003-3300-2048","first_name":"Wolfram","full_name":"Schenck, Wolfram"}],"editor":[{"full_name":"Koprinska, Irena","last_name":"Koprinska","first_name":"Irena"},{"first_name":"João","last_name":"Mendes-Moreira","full_name":"Mendes-Moreira, João"},{"first_name":"Paula","last_name":"Branco","full_name":"Branco, Paula"}],"date_created":"2026-05-10T07:55:29Z","page":"5-21","publication_status":"published","status":"public","publication":"Machine Learning and Principles and Practice of Knowledge Discovery in Databases. 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We propose an algorithm operating in two phases: (1) an exploration phase that prioritizes representative and diverse data points using density-driven criteria, and (2) an exploitation phase that combines predictive uncertainty with density weighting to select informative samples from densely populated regions. This enhances both representativeness and informativeness. Our results demonstrate significant improvements in model quality compared to other algorithms typically employed for this scenario, across various scenarios involving imbalanced data in classification tasks and skewness in regression tasks. Through this work, we aim to provide a new algorithm for this scenario and investigate general principles for AL. While most AL studies focus on either classification or regression, our work applies the algorithms to both. Therefore, we can analyze the differences between classification and regression problems and their effects on AL strategies. Furthermore, we explore different categories of AL criteria and their effectiveness in the low-budget regime. These results also provide insight into the cold-start problem, which involves selecting an initial labeled set and is faced by many model-based AL methods.","lang":"eng"}],"language":[{"iso":"eng"}],"user_id":"226669"},{"year":"2026","article_number":"114295","volume":171,"type":"journal_article","doi":"10.1016/j.engappai.2026.114295","publisher":"Elsevier BV","oa":"1","project":[{"_id":"f432a2ee-bceb-11ed-a251-a83585c5074d","name":"Institute for Data Science Solutions"},{"_id":"beb248c8-cd75-11ed-b77c-e432b4711f7b","name":"Institut für Systemdynamik und Mechatronik"}],"title":"Active learning evaluation metrics for classification and regression frameworks","publication":"Engineering Applications of Artificial Intelligence","date_updated":"2026-06-01T15:11:58Z","status":"public","publication_status":"published","date_created":"2026-02-27T10:10:55Z","user_id":"226669","language":[{"iso":"eng"}],"publication_identifier":{"issn":["09521976"]},"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1016/j.engappai.2026.114295"}],"intvolume":"       171","_id":"6655","citation":{"bibtex":"@article{Tharwat_Jaster_Schenck_Kohlhase_2026, title={Active learning evaluation metrics for classification and regression frameworks}, volume={171}, DOI={<a href=\"https://doi.org/10.1016/j.engappai.2026.114295\">10.1016/j.engappai.2026.114295</a>}, number={114295}, journal={Engineering Applications of Artificial Intelligence}, publisher={Elsevier BV}, author={Tharwat, Alaa and Jaster, Bjarne and Schenck, Wolfram and Kohlhase, Martin}, year={2026} }","ama":"Tharwat A, Jaster B, Schenck W, Kohlhase M. Active learning evaluation metrics for classification and regression frameworks. <i>Engineering Applications of Artificial Intelligence</i>. 2026;171. doi:<a href=\"https://doi.org/10.1016/j.engappai.2026.114295\">10.1016/j.engappai.2026.114295</a>","short":"A. Tharwat, B. Jaster, W. Schenck, M. Kohlhase, Engineering Applications of Artificial Intelligence 171 (2026).","alphadin":"<span style=\"font-variant:small-caps;\">Tharwat, Alaa</span> ; <span style=\"font-variant:small-caps;\">Jaster, Bjarne</span> ; <span style=\"font-variant:small-caps;\">Schenck, Wolfram</span> ; <span style=\"font-variant:small-caps;\">Kohlhase, Martin</span>: Active learning evaluation metrics for classification and regression frameworks. In: <i>Engineering Applications of Artificial Intelligence</i> Bd. 171, Elsevier BV (2026)","mla":"Tharwat, Alaa, et al. “Active Learning Evaluation Metrics for Classification and Regression Frameworks.” <i>Engineering Applications of Artificial Intelligence</i>, vol. 171, 114295, Elsevier BV, 2026, doi:<a href=\"https://doi.org/10.1016/j.engappai.2026.114295\">10.1016/j.engappai.2026.114295</a>.","ieee":"A. Tharwat, B. Jaster, W. Schenck, and M. Kohlhase, “Active learning evaluation metrics for classification and regression frameworks,” <i>Engineering Applications of Artificial Intelligence</i>, vol. 171, 2026.","apa":"Tharwat, A., Jaster, B., Schenck, W., &#38; Kohlhase, M. (2026). Active learning evaluation metrics for classification and regression frameworks. <i>Engineering Applications of Artificial Intelligence</i>, <i>171</i>. <a href=\"https://doi.org/10.1016/j.engappai.2026.114295\">https://doi.org/10.1016/j.engappai.2026.114295</a>","chicago":"Tharwat, Alaa, Bjarne Jaster, Wolfram Schenck, and Martin Kohlhase. “Active Learning Evaluation Metrics for Classification and Regression Frameworks.” <i>Engineering Applications of Artificial Intelligence</i> 171 (2026). <a href=\"https://doi.org/10.1016/j.engappai.2026.114295\">https://doi.org/10.1016/j.engappai.2026.114295</a>."},"author":[{"last_name":"Tharwat","first_name":"Alaa","full_name":"Tharwat, Alaa","id":"238549"},{"id":"252434","full_name":"Jaster, Bjarne","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-8362-5369/work/207108820","orcid":"0000-0002-8362-5369","last_name":"Jaster","first_name":"Bjarne"},{"orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-3300-2048/work/207108821","full_name":"Schenck, Wolfram","first_name":"Wolfram","last_name":"Schenck","orcid":"0000-0003-3300-2048","id":"224375"},{"orcid":"0009-0002-9374-0720","last_name":"Kohlhase","first_name":"Martin","full_name":"Kohlhase, Martin","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0002-9374-0720/work/207108822","id":"226669"}]},{"abstract":[{"text":"Der Berufsstand der Wirtschaftsprüfer und das Rechnungswesen von Unternehmen kämpfen aktuell mit einem sinkenden Image sowie einem massiven Fachkräftemangel. Als zentrale Antwort darauf gilt die fortschreitende Digitalisierung und der Einsatz von KI, die bereits heute zu einer weitgehenden Automatisierung operativer Kernprozesse wie dem „Purchase-to-Pay“-Porzess führen. \r\nWährend das Institut für Arbeitsmarkt- und Berufsforschung (IAB) für Buchhaltungstätigkeiten ein Automatisierungspotenzial von 100 % sieht, liegt dieses in der Wirtschaftsprüfung bei etwa 57 %. In der Prüfungspraxis verschiebt sich der Fokus von Routineaufgaben hin zu risikoorientierten Datenanalysen, IT-Systemprüfungen und der Nachhaltigkeitsberichterstattung, wobei das finale Urteil weiterhin beim Menschen verbleibt („Human-in-the-Loop“). \r\nFür die Hochschulausbildung bedeutet diese Transformation, dass neben den klassischen Basiskompetenzen vermehrt Spezialwissen in der Datenanalyse sowie übergreifende Meta-Kompetenzen wie „Data Literacy“ und grundlegendes KI-Verständnis vermittelt werden müssen. Hochschulen sind daher gefordert, diesen Wandel durch neue Lehrformate und Kooperationen mit der Praxis aktiv mitzugestalten, um den steigenden qualitativen Anforderungen an künftige Mitarbeitende gerecht zu werden.","lang":"eng"}],"language":[{"iso":"ger"}],"user_id":"222105","publication_status":"published","date_created":"2026-05-13T13:40:41Z","date_updated":"2026-05-17T16:51:56Z","publication":"46. Tagung des Arbeitskreises „Steuern und Wirtschaftsprüfung“ der Professorinnen und Professoren an Hochschulen für angewandte Wissenschaften, Bad Mergentheim, 11.-13.05.","status":"public","author":[{"first_name":"Tim","orcid":"0000-0003-1217-1360","last_name":"Kampe","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-1217-1360/work/214648057","full_name":"Kampe, Tim","id":"222105"}],"citation":{"apa":"Kampe, T. (2026). Digitalisierung und KI in der Abschlussprüfung: Änderungen in Rechnungslegung und Wirtschaftsprüfung und ihre Auswirkungen auf die Hochschulausbildung. In <i>46. Tagung des Arbeitskreises „Steuern und Wirtschaftsprüfung“ der Professorinnen und Professoren an Hochschulen für angewandte Wissenschaften, Bad Mergentheim, 11.-13.05.</i> Bad Mergentheim.","chicago":"Kampe, Tim. “Digitalisierung und KI in der Abschlussprüfung: Änderungen in Rechnungslegung und Wirtschaftsprüfung und ihre Auswirkungen auf die Hochschulausbildung.” In <i>46. Tagung des Arbeitskreises „Steuern und Wirtschaftsprüfung“ der Professorinnen und Professoren an Hochschulen für angewandte Wissenschaften, Bad Mergentheim, 11.-13.05.</i>, 2026.","bibtex":"@inproceedings{Kampe_2026, title={Digitalisierung und KI in der Abschlussprüfung: Änderungen in Rechnungslegung und Wirtschaftsprüfung und ihre Auswirkungen auf die Hochschulausbildung}, booktitle={46. Tagung des Arbeitskreises „Steuern und Wirtschaftsprüfung“ der Professorinnen und Professoren an Hochschulen für angewandte Wissenschaften, Bad Mergentheim, 11.-13.05.}, author={Kampe, Tim}, year={2026} }","ama":"Kampe T. Digitalisierung und KI in der Abschlussprüfung: Änderungen in Rechnungslegung und Wirtschaftsprüfung und ihre Auswirkungen auf die Hochschulausbildung. In: <i>46. Tagung des Arbeitskreises „Steuern und Wirtschaftsprüfung“ der Professorinnen und Professoren an Hochschulen für angewandte Wissenschaften, Bad Mergentheim, 11.-13.05.</i> ; 2026.","alphadin":"<span style=\"font-variant:small-caps;\">Kampe, Tim</span>: Digitalisierung und KI in der Abschlussprüfung: Änderungen in Rechnungslegung und Wirtschaftsprüfung und ihre Auswirkungen auf die Hochschulausbildung. In: <i>46. Tagung des Arbeitskreises „Steuern und Wirtschaftsprüfung“ der Professorinnen und Professoren an Hochschulen für angewandte Wissenschaften, Bad Mergentheim, 11.-13.05.</i>, 2026","ieee":"T. Kampe, “Digitalisierung und KI in der Abschlussprüfung: Änderungen in Rechnungslegung und Wirtschaftsprüfung und ihre Auswirkungen auf die Hochschulausbildung,” in <i>46. Tagung des Arbeitskreises „Steuern und Wirtschaftsprüfung“ der Professorinnen und Professoren an Hochschulen für angewandte Wissenschaften, Bad Mergentheim, 11.-13.05.</i>, Bad Mergentheim, 2026.","mla":"Kampe, Tim. “Digitalisierung und KI in der Abschlussprüfung: Änderungen in Rechnungslegung und Wirtschaftsprüfung und ihre Auswirkungen auf die Hochschulausbildung.” <i>46. Tagung des Arbeitskreises „Steuern und Wirtschaftsprüfung“ der Professorinnen und Professoren an Hochschulen für angewandte Wissenschaften, Bad Mergentheim, 11.-13.05.</i>, 2026.","short":"T. Kampe, in: 46. Tagung des Arbeitskreises „Steuern und Wirtschaftsprüfung“ der Professorinnen und Professoren an Hochschulen für angewandte Wissenschaften, Bad Mergentheim, 11.-13.05., 2026."},"_id":"6904","type":"conference","year":"2026","title":"Digitalisierung und KI in der Abschlussprüfung: Änderungen in Rechnungslegung und Wirtschaftsprüfung und ihre Auswirkungen auf die Hochschulausbildung","project":[{"name":"Institute for Data Science Solutions","_id":"f432a2ee-bceb-11ed-a251-a83585c5074d"}],"keyword":["Wirtschaftsprüfung","Rechnungswesen","Künstliche Intelligenz","Fachkräftemangel","Hochschullehre","Data Literacy","Automatisierung"],"conference":{"start_date":"2026-05-10","end_date":"2026-05-13","name":"46. 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Korte, L. Carminati, T. Süße, M. Kobert, C. Cimini, A. Lagorio, F. Pirola, in: L.M. Camarinha-Matos, A. Ortiz, X. Boucher, A.L. Soares (Eds.), Hybrid Human-AI Collaborative Networks. 26th IFIP WG 5.5 SOCOLNET Working Conference on Virtual Enterprises, PRO-VE 2025, Porto, Portugal, October 27-29, 2025, Proceedings, Part II, Springer Nature Switzerland, Cham, 2025, pp. 137–153.","ieee":"P. Korte <i>et al.</i>, “Educational Pathways for Industry 5.0: Development and Evaluation of a Collaborative Learning Cube Defining Learning Objectives, Curriculum Structure, and Certification Processes Across Different Professional Levels,” in <i>Hybrid Human-AI Collaborative Networks. 26th IFIP WG 5.5 SOCOLNET Working Conference on Virtual Enterprises, PRO-VE 2025, Porto, Portugal, October 27-29, 2025, Proceedings, Part II</i>, L. M. Camarinha-Matos, A. Ortiz, X. Boucher, and A. L. Soares, Eds. 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