[{"publisher":"Otto von Guericke University Library, Magdeburg, Germany","_id":"7068","year":"2026","title":"Smart data adapter: A hybrid pattern-LLM approach","project":[{"name":"Institute for Data Science Solutions","_id":"f432a2ee-bceb-11ed-a251-a83585c5074d"}],"publication_status":"published","status":"public","keyword":["Semantic Data Type Detection","DigitalTwin","Manufacturing SMEs","Zero-shot Learning","Hybrid AI","LLM"],"language":[{"iso":"eng"}],"main_file_link":[{"url":"https://opendata.uni-halle.de/bitstream/1981185920/125478/1/DW16_Smart%20Data%20Adapter%20A%20Hybrid%20Pattern-LLM%20Approach.pdf"}],"type":"conference","user_id":"220548","date_created":"2026-07-16T18:51:32Z","publication":"19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management","department":[{"_id":"103"}],"quality_controlled":"1","date_updated":"2026-07-20T08:11:01Z","author":[{"orcid":"0009-0000-3555-4183","full_name":"Döring, Lina","last_name":"Döring","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0000-3555-4183/work/221016189","first_name":"Lina","id":"231689"},{"last_name":"Trojahn","full_name":"Trojahn, Sebastian","first_name":"Sebastian"},{"full_name":"Reusch, Pascal","last_name":"Reusch","first_name":"Pascal","id":"223271"}],"editor":[{"last_name":"Behrendt","full_name":"Behrendt, Fabian","first_name":"Fabian"},{"first_name":"Hartmut","full_name":"Zadek, Hartmut","last_name":"Zadek"},{"first_name":"Jettarat","last_name":"Janmontree","full_name":"Janmontree, Jettarat"},{"first_name":"Sebastian","last_name":"Trojahn","full_name":"Trojahn, Sebastian"},{"first_name":"Sebastian","full_name":"Lang, Sebastian","last_name":"Lang"}],"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."}],"citation":{"ieee":"L. Döring, S. Trojahn, and P. Reusch, “Smart data adapter: A hybrid pattern-LLM approach,” in 19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management, Magdeburg, 2026.","apa":"Döring, L., Trojahn, S., & Reusch, P. (2026). Smart data adapter: A hybrid pattern-LLM approach. In F. Behrendt, H. Zadek, J. Janmontree, S. Trojahn, & S. Lang (Eds.), 19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management. Magdeburg: Otto von Guericke University Library, Magdeburg, Germany. https://doi.org/10.25673/123544","alphadin":"Döring, Lina ; Trojahn, Sebastian ; Reusch, Pascal: Smart data adapter: A hybrid pattern-LLM approach. In: Behrendt, F. ; Zadek, H. ; Janmontree, J. ; Trojahn, S. ; Lang, S. (Hrsg.): 19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management : 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.","mla":"Döring, Lina, et al. “Smart Data Adapter: A Hybrid Pattern-LLM Approach.” 19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management, edited by Fabian Behrendt et al., Otto von Guericke University Library, Magdeburg, Germany, 2026, doi:10.25673/123544.","bibtex":"@inproceedings{Döring_Trojahn_Reusch_2026, title={Smart data adapter: A hybrid pattern-LLM approach}, DOI={10.25673/123544}, 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} }","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. 19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management. Otto von Guericke University Library, Magdeburg, Germany; 2026. doi:10.25673/123544","chicago":"Döring, Lina, Sebastian Trojahn, and Pascal Reusch. “Smart Data Adapter: A Hybrid Pattern-LLM Approach.” In 19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management, edited by Fabian Behrendt, Hartmut Zadek, Jettarat Janmontree, Sebastian Trojahn, and Sebastian Lang. Otto von Guericke University Library, Magdeburg, Germany, 2026. https://doi.org/10.25673/123544."},"conference":{"end_date":"2026-06-16","location":"Magdeburg","start_date":"2026-06-15","name":"19th International Doctoral Students Workshop on Logistics, Supply Chain and Production Management"},"doi":"10.25673/123544"},{"oa":"1","page":"102-106","author":[{"id":"237874","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0003-0431-6547/work/219583826","first_name":"Christian","last_name":"Schwede","orcid":"0009-0003-0431-6547","full_name":"Schwede, Christian"},{"last_name":"Schipper","full_name":"Schipper, Lennart","first_name":"Lennart"},{"first_name":"Jan","last_name":"Cirullies","full_name":"Cirullies, Jan"}],"date_updated":"2026-07-03T15:07:37Z","quality_controlled":"1","type":"conference","main_file_link":[{"open_access":"1"}],"date_created":"2026-07-03T07:57:42Z","publication":"Proceedings of the 2026 9th International Conference on Computers in Management and Business","user_id":"220548","publication_identifier":{"isbn":["9798400722288"]},"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"},"corporate_editor":["Association for Computing Machinery"],"doi":"10.1145/3802463.3802479","place":"New York, NY, USA","citation":{"mla":"Schwede, Christian, et al. “Enabling Non-Simulation Experts to Adapt Digital Twins during Production System Redesign Using Agentic AI.” Proceedings of the 2026 9th International Conference on Computers in Management and Business, edited by Association for Computing Machinery, ACM, 2026, pp. 102–06, doi:10.1145/3802463.3802479.","alphadin":"Schwede, Christian ; Schipper, Lennart ; Cirullies, Jan: Enabling Non-Simulation Experts to Adapt Digital Twins during Production System Redesign using Agentic AI. In: Association for Computing Machinery (Hrsg.): Proceedings of the 2026 9th International Conference on Computers in Management and Business. New York, NY, USA : ACM, 2026, S. 102–106","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={10.1145/3802463.3802479}, 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} }","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.","chicago":"Schwede, Christian, Lennart Schipper, and Jan Cirullies. “Enabling Non-Simulation Experts to Adapt Digital Twins during Production System Redesign Using Agentic AI.” In Proceedings of the 2026 9th International Conference on Computers in Management and Business, edited by Association for Computing Machinery, 102–6. New York, NY, USA: ACM, 2026. https://doi.org/10.1145/3802463.3802479.","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. Proceedings of the 2026 9th International Conference on Computers in Management and Business. New York, NY, USA: ACM; 2026:102-106. doi:10.1145/3802463.3802479","ieee":"C. Schwede, L. Schipper, and J. Cirullies, “Enabling Non-Simulation Experts to Adapt Digital Twins during Production System Redesign using Agentic AI,” in Proceedings of the 2026 9th International Conference on Computers in Management and Business, Tokyo Japan, 2026, pp. 102–106.","apa":"Schwede, C., Schipper, L., & Cirullies, J. (2026). Enabling Non-Simulation Experts to Adapt Digital Twins during Production System Redesign using Agentic AI. In Association for Computing Machinery (Ed.), Proceedings of the 2026 9th International Conference on Computers in Management and Business (pp. 102–106). New York, NY, USA: ACM. https://doi.org/10.1145/3802463.3802479"},"publication_status":"published","_id":"7036","year":"2026","publisher":"ACM","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"}],"language":[{"iso":"eng"}],"status":"public"},{"type":"conference","publication":"2026 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO)","date_created":"2026-06-30T09:32:13Z","user_id":"220548","page":"192-197","author":[{"last_name":"Kobert","full_name":"Kobert, Maria","id":"242937","first_name":"Maria"},{"first_name":"Jennifer","last_name":"Brade","full_name":"Brade, Jennifer"},{"full_name":"Mandl, Sarah","last_name":"Mandl","first_name":"Sarah"},{"full_name":"Vitt, Valeska","last_name":"Vitt","first_name":"Valeska"},{"first_name":"Susanne","last_name":"Lischka","full_name":"Lischka, Susanne"},{"full_name":"Strobel, Anja","last_name":"Strobel","first_name":"Anja"},{"first_name":"Franziska","full_name":"Klimant, Franziska","last_name":"Klimant"},{"last_name":"Süße","full_name":"Süße, Thomas","orcid":"0000-0001-6832-7753","id":"241496","first_name":"Thomas","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0001-6832-7753/work/219329878"}],"quality_controlled":"1","date_updated":"2026-07-01T12:19:08Z","citation":{"ieee":"M. Kobert et al., “Teaming at a Distance: Insights from a Qualitative Study of Telepresence Robot–Mediated Collaboration,” in 2026 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO), Vienna, Austria, 2026, pp. 192–197.","apa":"Kobert, M., Brade, J., Mandl, S., Vitt, V., Lischka, S., Strobel, A., … Süße, T. (2026). Teaming at a Distance: Insights from a Qualitative Study of Telepresence Robot–Mediated Collaboration. In IEEE (Ed.), 2026 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO) (pp. 192–197). Vienna, Austria: IEEE. https://doi.org/10.1109/ARSO68304.2026.11536141","alphadin":"Kobert, Maria ; Brade, Jennifer ; Mandl, Sarah ; Vitt, Valeska ; Lischka, Susanne ; Strobel, Anja ; Klimant, Franziska ; Süße, Thomas: Teaming at a Distance: Insights from a Qualitative Study of Telepresence Robot–Mediated Collaboration. In: IEEE (Hrsg.): 2026 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO) : IEEE, 2026, S. 192–197","short":"M. Kobert, J. Brade, S. Mandl, V. Vitt, S. Lischka, A. Strobel, F. Klimant, T. Süße, in: IEEE (Ed.), 2026 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO), IEEE, 2026, pp. 192–197.","bibtex":"@inproceedings{Kobert_Brade_Mandl_Vitt_Lischka_Strobel_Klimant_Süße_2026, title={Teaming at a Distance: Insights from a Qualitative Study of Telepresence Robot–Mediated Collaboration}, DOI={10.1109/ARSO68304.2026.11536141}, booktitle={2026 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO)}, publisher={IEEE}, author={Kobert, Maria and Brade, Jennifer and Mandl, Sarah and Vitt, Valeska and Lischka, Susanne and Strobel, Anja and Klimant, Franziska and Süße, Thomas}, editor={IEEEEditor}, year={2026}, pages={192–197} }","mla":"Kobert, Maria, et al. “Teaming at a Distance: Insights from a Qualitative Study of Telepresence Robot–Mediated Collaboration.” 2026 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO), edited by IEEE, IEEE, 2026, pp. 192–97, doi:10.1109/ARSO68304.2026.11536141.","chicago":"Kobert, Maria, Jennifer Brade, Sarah Mandl, Valeska Vitt, Susanne Lischka, Anja Strobel, Franziska Klimant, and Thomas Süße. “Teaming at a Distance: Insights from a Qualitative Study of Telepresence Robot–Mediated Collaboration.” In 2026 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO), edited by IEEE, 192–97. IEEE, 2026. https://doi.org/10.1109/ARSO68304.2026.11536141.","ama":"Kobert M, Brade J, Mandl S, et al. Teaming at a Distance: Insights from a Qualitative Study of Telepresence Robot–Mediated Collaboration. In: IEEE, ed. 2026 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO). IEEE; 2026:192-197. doi:10.1109/ARSO68304.2026.11536141"},"conference":{"name":"2026 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO)","location":"Vienna, Austria","start_date":"2026-06-10","end_date":"2026-06-12"},"publication_identifier":{"eisbn":["979-8-3315-6445-2"]},"corporate_editor":["IEEE"],"doi":"10.1109/ARSO68304.2026.11536141","_id":"7029","title":"Teaming at a Distance: Insights from a Qualitative Study of Telepresence Robot–Mediated Collaboration","publisher":"IEEE","year":"2026","project":[{"_id":"f432a2ee-bceb-11ed-a251-a83585c5074d","name":"Institute for Data Science Solutions"}],"publication_status":"published","status":"public","language":[{"iso":"eng"}]},{"project":[{"_id":"f432a2ee-bceb-11ed-a251-a83585c5074d","name":"Institute for Data Science Solutions"}],"year":"2026","_id":"6803","title":"Resilience of work systems: Conducting a design science research approach to synthesize theory and design a conceptual model for manufacturing SMEs","language":[{"iso":"eng"}],"status":"public","date_updated":"2026-06-30T09:28:48Z","quality_controlled":"1","author":[{"first_name":"Felix","last_name":"Günther","full_name":"Günther, Felix"},{"last_name":"Süße","full_name":"Süße, Thomas","orcid":"0000-0001-6832-7753","id":"241496","first_name":"Thomas","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0001-6832-7753/work/208213551"}],"user_id":"241496","date_created":"2026-03-12T09:10:53Z","type":"conference","conference":{"start_date":"2026-03-11","location":"Kassel","name":"72. GfA-Frühjahrskongress","end_date":"2026-03-13"},"citation":{"alphadin":"Günther, Felix ; Süße, Thomas: Resilience of work systems: Conducting a design science research approach to synthesize theory and design a conceptual model for manufacturing SMEs. In: , 2026","bibtex":"@inproceedings{Günther_Süße_2026, title={Resilience of work systems: Conducting a design science research approach to synthesize theory and design a conceptual model for manufacturing SMEs}, author={Günther, Felix and Süße, Thomas}, year={2026} }","mla":"Günther, Felix, and Thomas Süße. Resilience of Work Systems: Conducting a Design Science Research Approach to Synthesize Theory and Design a Conceptual Model for Manufacturing SMEs. 2026.","short":"F. Günther, T. Süße, in: 2026.","chicago":"Günther, Felix, and Thomas Süße. “Resilience of Work Systems: Conducting a Design Science Research Approach to Synthesize Theory and Design a Conceptual Model for Manufacturing SMEs,” 2026.","ama":"Günther F, Süße T. Resilience of work systems: Conducting a design science research approach to synthesize theory and design a conceptual model for manufacturing SMEs. In: ; 2026.","ieee":"F. Günther and T. Süße, “Resilience of work systems: Conducting a design science research approach to synthesize theory and design a conceptual model for manufacturing SMEs,” presented at the 72. GfA-Frühjahrskongress, Kassel, 2026.","apa":"Günther, F., & Süße, T. (2026). Resilience of work systems: Conducting a design science research approach to synthesize theory and design a conceptual model for manufacturing SMEs. Presented at the 72. GfA-Frühjahrskongress, Kassel."}},{"citation":{"chicago":"Komorowski, Tim, and Thomas Süße. “Zur Beruflichen Nutzung Generativer KI in Deutschland: Zusammenhänge Mit Arbeitsmerkmalen, Autonomie Und Führungsverantwortung in Der Unternehmensorganisation,” 2026.","ama":"Komorowski T, Süße T. Zur beruflichen Nutzung generativer KI in Deutschland: Zusammenhänge mit Arbeitsmerkmalen, Autonomie und Führungsverantwortung in der Unternehmensorganisation. In: ; 2026.","short":"T. Komorowski, T. Süße, in: 2026.","bibtex":"@inproceedings{Komorowski_Süße_2026, title={Zur beruflichen Nutzung generativer KI in Deutschland: Zusammenhänge mit Arbeitsmerkmalen, Autonomie und Führungsverantwortung in der Unternehmensorganisation}, author={Komorowski, Tim and Süße, Thomas}, year={2026} }","mla":"Komorowski, Tim, and Thomas Süße. Zur Beruflichen Nutzung Generativer KI in Deutschland: Zusammenhänge Mit Arbeitsmerkmalen, Autonomie Und Führungsverantwortung in Der Unternehmensorganisation. 2026.","alphadin":"Komorowski, Tim ; Süße, Thomas: Zur beruflichen Nutzung generativer KI in Deutschland: Zusammenhänge mit Arbeitsmerkmalen, Autonomie und Führungsverantwortung in der Unternehmensorganisation. In: , 2026","apa":"Komorowski, T., & Süße, T. (2026). Zur beruflichen Nutzung generativer KI in Deutschland: Zusammenhänge mit Arbeitsmerkmalen, Autonomie und Führungsverantwortung in der Unternehmensorganisation. Presented at the 72. GfA-Frühjahrskongress, Kassel.","ieee":"T. Komorowski and T. Süße, “Zur beruflichen Nutzung generativer KI in Deutschland: Zusammenhänge mit Arbeitsmerkmalen, Autonomie und Führungsverantwortung in der Unternehmensorganisation,” presented at the 72. GfA-Frühjahrskongress, Kassel, 2026."},"conference":{"end_date":"2026-03-13","start_date":"2026-03-11","location":"Kassel","name":"72. GfA-Frühjahrskongress"},"date_created":"2026-03-12T09:12:44Z","user_id":"241496","type":"conference","author":[{"last_name":"Komorowski","full_name":"Komorowski, Tim","first_name":"Tim"},{"first_name":"Thomas","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0001-6832-7753/work/208213557","id":"241496","full_name":"Süße, Thomas","orcid":"0000-0001-6832-7753","last_name":"Süße"}],"quality_controlled":"1","date_updated":"2026-06-30T09:28:35Z","status":"public","language":[{"iso":"eng"}],"project":[{"_id":"f432a2ee-bceb-11ed-a251-a83585c5074d","name":"Institute for Data Science Solutions"}],"_id":"6804","title":"Zur beruflichen Nutzung generativer KI in Deutschland: Zusammenhänge mit Arbeitsmerkmalen, Autonomie und Führungsverantwortung in der Unternehmensorganisation","year":"2026"},{"main_file_link":[{"url":"https://rdcu.be/fh03T","open_access":"1"}],"type":"conference","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","date_created":"2026-05-10T07:55:29Z","user_id":"226669","oa":"1","page":"5-21","author":[{"orcid":"0000-0002-8362-5369","full_name":"Jaster, Bjarne","last_name":"Jaster","first_name":"Bjarne","id":"252434"},{"id":"238549","first_name":"Alaa","last_name":"Tharwat","full_name":"Tharwat, Alaa"},{"last_name":"Sheikh","full_name":"Sheikh, Eiram Mahera","first_name":"Eiram Mahera"},{"full_name":"Kohlhase, Martin","orcid":"0009-0002-9374-0720","last_name":"Kohlhase","first_name":"Martin","id":"226669"},{"full_name":"Schenck, Wolfram","orcid":"0000-0003-3300-2048","last_name":"Schenck","first_name":"Wolfram","id":"224375"}],"alternative_id":["6899"],"date_updated":"2026-06-01T15:18:27Z","editor":[{"last_name":"Koprinska","full_name":"Koprinska, Irena","first_name":"Irena"},{"first_name":"João","last_name":"Mendes-Moreira","full_name":"Mendes-Moreira, João"},{"first_name":"Paula","full_name":"Branco, Paula","last_name":"Branco"}],"citation":{"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={10.1007/978-3-032-19105-2_1}, 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} }","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.","alphadin":"Jaster, Bjarne ; Tharwat, Alaa ; Sheikh, Eiram Mahera ; Kohlhase, Martin ; Schenck, Wolfram: Low Query Budget Active Learning for Classification and Regression. In: Koprinska, I. ; Mendes-Moreira, J. ; Branco, P. (Hrsg.): 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, Communications in Computer and Information Science. Cham : Springer Nature Switzerland, 2026, S. 5–21","mla":"Jaster, Bjarne, et al. “Low Query Budget Active Learning for Classification and Regression.” 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, edited by Irena Koprinska et al., Springer Nature Switzerland, 2026, pp. 5–21, doi:10.1007/978-3-032-19105-2_1.","chicago":"Jaster, Bjarne, Alaa Tharwat, Eiram Mahera Sheikh, Martin Kohlhase, and Wolfram Schenck. “Low Query Budget Active Learning for Classification and Regression.” In 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, edited by Irena Koprinska, João Mendes-Moreira, and Paula Branco, 5–21. Communications in Computer and Information Science. Cham: Springer Nature Switzerland, 2026. https://doi.org/10.1007/978-3-032-19105-2_1.","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. 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. Communications in Computer and Information Science. Cham: Springer Nature Switzerland; 2026:5-21. doi:10.1007/978-3-032-19105-2_1","ieee":"B. Jaster, A. Tharwat, E. M. Sheikh, M. Kohlhase, and W. Schenck, “Low Query Budget Active Learning for Classification and Regression,” in 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, Porto, Portugal, 2026, pp. 5–21.","apa":"Jaster, B., Tharwat, A., Sheikh, E. M., Kohlhase, M., & Schenck, W. (2026). Low Query Budget Active Learning for Classification and Regression. 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 (pp. 5–21). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-19105-2_1"},"place":"Cham","abstract":[{"lang":"eng","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."}],"publication_identifier":{"isbn":["978-3-032-19104-5"],"issn":["1865-0929"],"eisbn":["978-3-032-19105-2"],"eissn":["1865-0937"]},"conference":{"end_date":"2025-09-19","location":"Porto, Portugal","start_date":"2025-09-15","name":"ECML PKDD 2025"},"doi":"10.1007/978-3-032-19105-2_1","title":"Low Query Budget Active Learning for Classification and Regression","_id":"6898","publisher":"Springer Nature Switzerland","year":"2026","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"}],"publication_status":"published","series_title":"Communications in Computer and Information Science","status":"public","language":[{"iso":"eng"}]},{"publication":"Engineering Applications of Artificial Intelligence","date_created":"2026-02-27T10:10:55Z","user_id":"226669","type":"journal_article","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1016/j.engappai.2026.114295"}],"volume":171,"author":[{"id":"238549","first_name":"Alaa","last_name":"Tharwat","full_name":"Tharwat, Alaa"},{"id":"252434","first_name":"Bjarne","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-8362-5369/work/207108820","last_name":"Jaster","full_name":"Jaster, Bjarne","orcid":"0000-0002-8362-5369"},{"id":"224375","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-3300-2048/work/207108821","first_name":"Wolfram","last_name":"Schenck","orcid":"0000-0003-3300-2048","full_name":"Schenck, Wolfram"},{"full_name":"Kohlhase, Martin","orcid":"0009-0002-9374-0720","last_name":"Kohlhase","first_name":"Martin","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0002-9374-0720/work/207108822","id":"226669"}],"date_updated":"2026-06-01T15:11:58Z","article_number":"114295","oa":"1","citation":{"chicago":"Tharwat, Alaa, Bjarne Jaster, Wolfram Schenck, and Martin Kohlhase. “Active Learning Evaluation Metrics for Classification and Regression Frameworks.” Engineering Applications of Artificial Intelligence 171 (2026). https://doi.org/10.1016/j.engappai.2026.114295.","ama":"Tharwat A, Jaster B, Schenck W, Kohlhase M. 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