[{"year":"2026","_id":"6904","language":[{"iso":"ger"}],"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"}],"author":[{"id":"222105","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-1217-1360/work/214648057","first_name":"Tim","full_name":"Kampe, Tim","orcid":"0000-0003-1217-1360","last_name":"Kampe"}],"citation":{"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.","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.","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.","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.","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","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.","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} }","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."},"conference":{"end_date":"2026-05-13","start_date":"2026-05-10","name":"46. Tagung des Arbeitskreises „Steuern und Wirtschaftsprüfung“ der Professorinnen und Professoren an Hochschulen für angewandte Wissenschaften","location":"Bad Mergentheim"},"status":"public","date_updated":"2026-05-17T16:51:56Z","type":"conference","project":[{"_id":"f432a2ee-bceb-11ed-a251-a83585c5074d","name":"Institute for Data Science Solutions"}],"user_id":"222105","publication_status":"published","publication":"46. Tagung des Arbeitskreises „Steuern und Wirtschaftsprüfung“ der Professorinnen und Professoren an Hochschulen für angewandte Wissenschaften, Bad Mergentheim, 11.-13.05.","keyword":["Wirtschaftsprüfung","Rechnungswesen","Künstliche Intelligenz","Fachkräftemangel","Hochschullehre","Data Literacy","Automatisierung"],"title":"Digitalisierung und KI in der Abschlussprüfung: Änderungen in Rechnungslegung und Wirtschaftsprüfung und ihre Auswirkungen auf die Hochschulausbildung","date_created":"2026-05-13T13:40:41Z"},{"abstract":[{"text":"The labeling process for supervised learning is costly and time-consuming, and is often impractical to scale due to real-world constraints. Active learning (AL) addresses this challenge by strategically selecting representative and informative data points to reduce labeling efforts. This paper focuses on an AL scenario in which only a very limited number of labels can be acquired. 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"}],"year":"2026","editor":[{"full_name":"Koprinska, Irena","last_name":"Koprinska","first_name":"Irena"},{"last_name":"Mendes-Moreira","full_name":"Mendes-Moreira, João","first_name":"João"},{"first_name":"Paula","full_name":"Branco, Paula","last_name":"Branco"}],"_id":"6898","language":[{"iso":"eng"}],"doi":"10.1007/978-3-032-19105-2_1","page":"5-21","publisher":"Springer Nature Switzerland","date_updated":"2026-05-11T08:24:11Z","place":"Cham","citation":{"alphadin":"<span style=\"font-variant:small-caps;\">Jaster, Bjarne</span> ; <span style=\"font-variant:small-caps;\">Tharwat, Alaa</span> ; <span style=\"font-variant:small-caps;\">Sheikh, Eiram Mahera</span> ; <span style=\"font-variant:small-caps;\">Kohlhase, Martin</span> ; <span style=\"font-variant:small-caps;\">Schenck, Wolfram</span>: Low Query Budget Active Learning for Classification and Regression. In: <span style=\"font-variant:small-caps;\">Koprinska, I.</span> ; <span style=\"font-variant:small-caps;\">Mendes-Moreira, J.</span> ; <span style=\"font-variant:small-caps;\">Branco, P.</span> (Hrsg.): <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>, <i>Communications in Computer and Information Science</i>. Cham : Springer Nature Switzerland, 2026, S. 5–21","bibtex":"@inproceedings{Jaster_Tharwat_Sheikh_Kohlhase_Schenck_2026, place={Cham}, series={Communications in Computer and Information Science}, title={Low Query Budget Active Learning for Classification and Regression}, DOI={<a href=\"https://doi.org/10.1007/978-3-032-19105-2_1\">10.1007/978-3-032-19105-2_1</a>}, booktitle={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}, 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} }","apa":"Jaster, B., Tharwat, A., Sheikh, E. M., Kohlhase, M., &#38; Schenck, W. (2026). Low Query Budget Active Learning for Classification and Regression. In I. Koprinska, J. Mendes-Moreira, &#38; P. Branco (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> (pp. 5–21). Cham: Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-032-19105-2_1\">https://doi.org/10.1007/978-3-032-19105-2_1</a>","ieee":"B. Jaster, A. Tharwat, E. M. Sheikh, M. Kohlhase, and W. Schenck, “Low Query Budget Active Learning for Classification and Regression,” in <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>, Porto, Portugal, 2026, pp. 5–21.","mla":"Jaster, Bjarne, et al. “Low Query Budget Active Learning for Classification and Regression.” <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>, edited by Irena Koprinska et al., Springer Nature Switzerland, 2026, pp. 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>.","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>","short":"B. Jaster, A. Tharwat, E.M. Sheikh, M. Kohlhase, W. Schenck, in: I. Koprinska, J. Mendes-Moreira, P. Branco (Eds.), 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, Springer Nature Switzerland, Cham, 2026, pp. 5–21.","chicago":"Jaster, Bjarne, Alaa Tharwat, Eiram Mahera Sheikh, Martin Kohlhase, and Wolfram Schenck. “Low Query Budget Active Learning for Classification and Regression.” In <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>, edited by Irena Koprinska, João Mendes-Moreira, and Paula Branco, 5–21. Communications in Computer and Information Science. Cham: Springer Nature Switzerland, 2026. <a href=\"https://doi.org/10.1007/978-3-032-19105-2_1\">https://doi.org/10.1007/978-3-032-19105-2_1</a>."},"author":[{"last_name":"Jaster","orcid":"0000-0002-8362-5369","full_name":"Jaster, Bjarne","first_name":"Bjarne","id":"252434"},{"full_name":"Tharwat, Alaa","last_name":"Tharwat","first_name":"Alaa","id":"238549"},{"last_name":"Sheikh","full_name":"Sheikh, Eiram Mahera","first_name":"Eiram Mahera"},{"last_name":"Kohlhase","orcid":"0009-0002-9374-0720","full_name":"Kohlhase, Martin","first_name":"Martin","id":"226669"},{"orcid":"0000-0003-3300-2048","full_name":"Schenck, Wolfram","last_name":"Schenck","first_name":"Wolfram","id":"224375"}],"conference":{"name":"ECML PKDD 2025","location":"Porto, Portugal","end_date":"2025-09-19","start_date":"2025-09-15"},"status":"public","publication":"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","series_title":"Communications in Computer and Information Science","publication_status":"published","publication_identifier":{"eisbn":["978-3-032-19105-2"],"eissn":["1865-0937"],"isbn":["978-3-032-19104-5"],"issn":["1865-0929"]},"type":"conference","oa":"1","project":[{"name":"Institute for Data Science Solutions","_id":"f432a2ee-bceb-11ed-a251-a83585c5074d"}],"user_id":"220548","alternative_id":["6899"],"main_file_link":[{"open_access":"1","url":"https://rdcu.be/fh03T"}],"title":"Low Query Budget Active Learning for Classification and Regression","date_created":"2026-05-10T07:55:29Z"},{"publication_status":"published","series_title":"AIP Conference Proceedings","publication":"Preface: 2025 The 12th International Conference on Industrial Engineering and Applications (Europe)","user_id":"220548","project":[{"_id":"f432a2ee-bceb-11ed-a251-a83585c5074d","name":"Institute for Data Science Solutions"}],"type":"conference","volume":3381,"date_created":"2026-04-09T09:41:23Z","title":"Scheduling individualized products with reinforcement learning to reduce worker stress","department":[{"_id":"103"}],"quality_controlled":"1","article_number":"060001","language":[{"iso":"eng"}],"_id":"6825","editor":[{"first_name":"Shey-Huei","full_name":"Sheu, Shey-Huei","last_name":"Sheu"}],"year":"2025","date_updated":"2026-05-15T13:02:07Z","publisher":"AIP Publishing","doi":"10.1063/5.0315901","intvolume":"      3381","status":"public","conference":{"start_date":"2025-01-07","end_date":"2025-01-09","location":"München ","name":"The 12th International Conference on Industrial Engineering and Applications (Europe)"},"author":[{"full_name":"Vogel, Leon","last_name":"Vogel","first_name":"Leon"},{"id":"245570","first_name":"Lukas","last_name":"Vollenkemper","full_name":"Vollenkemper, Lukas"},{"first_name":"Arthur","last_name":"Müller","full_name":"Müller, Arthur"},{"full_name":"Kohlhase, Martin","orcid":"0009-0002-9374-0720","last_name":"Kohlhase","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0002-9374-0720/work/214765305","id":"226669","first_name":"Martin"}],"citation":{"ama":"Vogel L, Vollenkemper L, Müller A, Kohlhase M. Scheduling individualized products with reinforcement learning to reduce worker stress. In: Sheu S-H, ed. <i>Preface: 2025 The 12th International Conference on Industrial Engineering and Applications (Europe)</i>. Vol 3381. AIP Conference Proceedings. AIP Publishing; 2025. doi:<a href=\"https://doi.org/10.1063/5.0315901\">10.1063/5.0315901</a>","mla":"Vogel, Leon, et al. “Scheduling Individualized Products with Reinforcement Learning to Reduce Worker Stress.” <i>Preface: 2025 The 12th International Conference on Industrial Engineering and Applications (Europe)</i>, edited by Shey-Huei Sheu, vol. 3381, 060001, AIP Publishing, 2025, doi:<a href=\"https://doi.org/10.1063/5.0315901\">10.1063/5.0315901</a>.","chicago":"Vogel, Leon, Lukas Vollenkemper, Arthur Müller, and Martin Kohlhase. “Scheduling Individualized Products with Reinforcement Learning to Reduce Worker Stress.” In <i>Preface: 2025 The 12th International Conference on Industrial Engineering and Applications (Europe)</i>, edited by Shey-Huei Sheu, Vol. 3381. AIP Conference Proceedings. AIP Publishing, 2025. <a href=\"https://doi.org/10.1063/5.0315901\">https://doi.org/10.1063/5.0315901</a>.","short":"L. Vogel, L. Vollenkemper, A. Müller, M. Kohlhase, in: S.-H. Sheu (Ed.), Preface: 2025 The 12th International Conference on Industrial Engineering and Applications (Europe), AIP Publishing, 2025.","apa":"Vogel, L., Vollenkemper, L., Müller, A., &#38; Kohlhase, M. (2025). Scheduling individualized products with reinforcement learning to reduce worker stress. In S.-H. Sheu (Ed.), <i>Preface: 2025 The 12th International Conference on Industrial Engineering and Applications (Europe)</i> (Vol. 3381). München : AIP Publishing. <a href=\"https://doi.org/10.1063/5.0315901\">https://doi.org/10.1063/5.0315901</a>","bibtex":"@inproceedings{Vogel_Vollenkemper_Müller_Kohlhase_2025, series={AIP Conference Proceedings}, title={Scheduling individualized products with reinforcement learning to reduce worker stress}, volume={3381}, DOI={<a href=\"https://doi.org/10.1063/5.0315901\">10.1063/5.0315901</a>}, number={060001}, booktitle={Preface: 2025 The 12th International Conference on Industrial Engineering and Applications (Europe)}, publisher={AIP Publishing}, author={Vogel, Leon and Vollenkemper, Lukas and Müller, Arthur and Kohlhase, Martin}, editor={Sheu, Shey-HueiEditor}, year={2025}, collection={AIP Conference Proceedings} }","alphadin":"<span style=\"font-variant:small-caps;\">Vogel, Leon</span> ; <span style=\"font-variant:small-caps;\">Vollenkemper, Lukas</span> ; <span style=\"font-variant:small-caps;\">Müller, Arthur</span> ; <span style=\"font-variant:small-caps;\">Kohlhase, Martin</span>: Scheduling individualized products with reinforcement learning to reduce worker stress. In: <span style=\"font-variant:small-caps;\">Sheu, S.-H.</span> (Hrsg.): <i>Preface: 2025 The 12th International Conference on Industrial Engineering and Applications (Europe)</i>, <i>AIP Conference Proceedings</i>. Bd. 3381 : AIP Publishing, 2025","ieee":"L. Vogel, L. Vollenkemper, A. Müller, and M. Kohlhase, “Scheduling individualized products with reinforcement learning to reduce worker stress,” in <i>Preface: 2025 The 12th International Conference on Industrial Engineering and Applications (Europe)</i>, München , 2025, vol. 3381."}},{"language":[{"iso":"eng"}],"year":"2025","_id":"6371","editor":[{"full_name":"Schulte, Horst","last_name":"Schulte","first_name":"Horst"},{"last_name":"Hoffmann","full_name":"Hoffmann, Frank","first_name":"Frank"},{"first_name":"Ralf","last_name":"Mikut","full_name":"Mikut, Ralf"}],"publisher":"Karlsruher Institut für Technologie (KIT)","date_updated":"2026-03-17T15:29:29Z","doi":"10.5445/IR/1000186052","conference":{"name":"35. Workshop Computational Intelligence","end_date":"2025-11-21","start_date":"2025-11-20"},"status":"public","author":[{"first_name":"Frederick-Mortimer","id":"255506","last_name":"Dockhorn","full_name":"Dockhorn, Frederick-Mortimer"},{"full_name":"Kohlhase, Martin","orcid":"0009-0002-9374-0720","last_name":"Kohlhase","id":"226669","first_name":"Martin"}],"citation":{"chicago":"Dockhorn, Frederick-Mortimer, and Martin Kohlhase. “Discrepancy Modeling for Dynamical Systems.” In <i>Proceedings - 35. Workshop Computational Intelligence</i>, edited by Horst Schulte, Frank Hoffmann, and Ralf Mikut. Karlsruher Institut für Technologie (KIT), 2025. <a href=\"https://doi.org/10.5445/IR/1000186052\">https://doi.org/10.5445/IR/1000186052</a>.","short":"F.-M. Dockhorn, M. Kohlhase, in: H. Schulte, F. Hoffmann, R. Mikut (Eds.), Proceedings - 35. Workshop Computational Intelligence, Karlsruher Institut für Technologie (KIT), 2025.","ama":"Dockhorn F-M, Kohlhase M. Discrepancy Modeling for Dynamical Systems. In: Schulte H, Hoffmann F, Mikut R, eds. <i>Proceedings - 35. Workshop Computational Intelligence</i>. Karlsruher Institut für Technologie (KIT); 2025. doi:<a href=\"https://doi.org/10.5445/IR/1000186052\">10.5445/IR/1000186052</a>","mla":"Dockhorn, Frederick-Mortimer, and Martin Kohlhase. “Discrepancy Modeling for Dynamical Systems.” <i>Proceedings - 35. Workshop Computational Intelligence</i>, edited by Horst Schulte et al., Karlsruher Institut für Technologie (KIT), 2025, doi:<a href=\"https://doi.org/10.5445/IR/1000186052\">10.5445/IR/1000186052</a>.","ieee":"F.-M. Dockhorn and M. Kohlhase, “Discrepancy Modeling for Dynamical Systems,” in <i>Proceedings - 35. Workshop Computational Intelligence</i>, 2025.","bibtex":"@inproceedings{Dockhorn_Kohlhase_2025, title={Discrepancy Modeling for Dynamical Systems}, DOI={<a href=\"https://doi.org/10.5445/IR/1000186052\">10.5445/IR/1000186052</a>}, booktitle={Proceedings - 35. Workshop Computational Intelligence}, publisher={Karlsruher Institut für Technologie (KIT)}, author={Dockhorn, Frederick-Mortimer and Kohlhase, Martin}, editor={Schulte, Horst and Hoffmann, Frank and Mikut, RalfEditors}, year={2025} }","apa":"Dockhorn, F.-M., &#38; Kohlhase, M. (2025). Discrepancy Modeling for Dynamical Systems. In H. Schulte, F. Hoffmann, &#38; R. Mikut (Eds.), <i>Proceedings - 35. Workshop Computational Intelligence</i>. Karlsruher Institut für Technologie (KIT). <a href=\"https://doi.org/10.5445/IR/1000186052\">https://doi.org/10.5445/IR/1000186052</a>","alphadin":"<span style=\"font-variant:small-caps;\">Dockhorn, Frederick-Mortimer</span> ; <span style=\"font-variant:small-caps;\">Kohlhase, Martin</span>: Discrepancy Modeling for Dynamical Systems. In: <span style=\"font-variant:small-caps;\">Schulte, H.</span> ; <span style=\"font-variant:small-caps;\">Hoffmann, F.</span> ; <span style=\"font-variant:small-caps;\">Mikut, R.</span> (Hrsg.): <i>Proceedings - 35. Workshop Computational Intelligence</i> : Karlsruher Institut für Technologie (KIT), 2025"},"publication":"Proceedings - 35. Workshop Computational Intelligence","publication_status":"published","user_id":"255506","main_file_link":[{"open_access":"1"}],"type":"conference_abstract","oa":"1","project":[{"name":"Institute for Data Science Solutions","_id":"f432a2ee-bceb-11ed-a251-a83585c5074d"}],"title":"Discrepancy Modeling for Dynamical Systems","date_created":"2025-12-06T15:09:13Z","quality_controlled":"1"},{"publication_status":"published","publication":"2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA)","user_id":"252434","type":"conference","publication_identifier":{"eisbn":["979-8-3315-5383-8"]},"project":[{"name":"Institute for Data Science Solutions","_id":"f432a2ee-bceb-11ed-a251-a83585c5074d"}],"title":"AI Workflow for Scarce Data: A Modular Approach to Optimise Processes","date_created":"2025-11-04T14:01:05Z","language":[{"iso":"eng"}],"year":"2025","_id":"6267","publisher":"IEEE","page":"1-4","date_updated":"2026-03-17T15:29:28Z","doi":"10.1109/ETFA65518.2025.11205664","conference":{"location":"Porto, Portugal","name":"2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA)"},"status":"public","citation":{"ama":"Bültemeier J, Holst C-A, Lohweg V, Schöne M, Jaster B, Kohlhase M. 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