[{"_id":"6049","year":"2025","language":[{"iso":"eng"}],"citation":{"alphadin":"<span style=\"font-variant:small-caps;\">Schöne, Marvin</span> ; <span style=\"font-variant:small-caps;\">Jaster, Bjarne</span> ; <span style=\"font-variant:small-caps;\">Bültemeier, Julian</span> ; <span style=\"font-variant:small-caps;\">Kösters, Justus</span> ; <span style=\"font-variant:small-caps;\">Holst, Christoph-Alexander</span> ; <span style=\"font-variant:small-caps;\">Kohlhase, Martin</span>: Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit. In: <span style=\"font-variant:small-caps;\">IEEE</span> (Hrsg.): <i>2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx)</i> : IEEE, 2025, S. 1–9","apa":"Schöne, M., Jaster, B., Bültemeier, J., Kösters, J., Holst, C.-A., &#38; Kohlhase, M. (2025). Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit. In IEEE (Ed.), <i>2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx)</i> (pp. 1–9). Trondheim, Norway: IEEE. <a href=\"https://doi.org/10.57720/6049\">https://doi.org/10.57720/6049</a>","bibtex":"@inproceedings{Schöne_Jaster_Bültemeier_Kösters_Holst_Kohlhase_2025, title={Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit}, DOI={<a href=\"https://doi.org/10.57720/6049\">10.57720/6049</a>}, booktitle={2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx)}, publisher={IEEE}, author={Schöne, Marvin and Jaster, Bjarne and Bültemeier, Julian and Kösters, Justus and Holst, Christoph-Alexander and Kohlhase, Martin}, editor={IEEEEditor}, year={2025}, pages={1–9} }","ieee":"M. Schöne, B. Jaster, J. Bültemeier, J. Kösters, C.-A. Holst, and M. Kohlhase, “Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit,” in <i>2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx)</i>, Trondheim, Norway, 2025, pp. 1–9.","mla":"Schöne, Marvin, et al. “Pool-Based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit.” <i>2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx)</i>, edited by IEEE, IEEE, 2025, pp. 1–9, doi:<a href=\"https://doi.org/10.57720/6049\">10.57720/6049</a>.","ama":"Schöne M, Jaster B, Bültemeier J, Kösters J, Holst C-A, Kohlhase M. Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit. In: IEEE, ed. <i>2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx)</i>. IEEE; 2025:1-9. doi:<a href=\"https://doi.org/10.57720/6049\">10.57720/6049</a>","chicago":"Schöne, Marvin, Bjarne Jaster, Julian Bültemeier, Justus Kösters, Christoph-Alexander Holst, and Martin Kohlhase. “Pool-Based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit.” In <i>2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx)</i>, edited by IEEE, 1–9. IEEE, 2025. <a href=\"https://doi.org/10.57720/6049\">https://doi.org/10.57720/6049</a>.","short":"M. Schöne, B. Jaster, J. Bültemeier, J. Kösters, C.-A. Holst, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx), IEEE, 2025, pp. 1–9."},"author":[{"full_name":"Schöne, Marvin","last_name":"Schöne","first_name":"Marvin","id":"218388"},{"orcid":"0000-0002-8362-5369","full_name":"Jaster, Bjarne","last_name":"Jaster","first_name":"Bjarne","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-8362-5369/work/203880864","id":"252434"},{"last_name":"Bültemeier","full_name":"Bültemeier, Julian","first_name":"Julian"},{"last_name":"Kösters","full_name":"Kösters, Justus","first_name":"Justus"},{"first_name":"Christoph-Alexander","full_name":"Holst, Christoph-Alexander","last_name":"Holst"},{"orcid":"0009-0002-9374-0720","full_name":"Kohlhase, Martin","last_name":"Kohlhase","first_name":"Martin","id":"226669","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0002-9374-0720/work/203880865"}],"status":"public","conference":{"name":"2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx)","location":"Trondheim, Norway","start_date":"2025-03-17","end_date":"2025-03-20"},"doi":"10.57720/6049","date_updated":"2026-03-17T15:29:25Z","publisher":"IEEE","page":"1-9","has_accepted_license":"1","oa":"1","project":[{"_id":"f432a2ee-bceb-11ed-a251-a83585c5074d","name":"Institute for Data Science Solutions"}],"type":"conference","file":[{"creator":"kwerth","date_created":"2025-07-10T06:30:41Z","date_updated":"2025-07-10T06:30:41Z","success":1,"content_type":"application/pdf","file_size":2379084,"file_name":"Secondary Publication, Schöne et al, 2025, Active_Learning_with_GUIDE.pdf","relation":"main_file","file_id":"6050","access_level":"open_access"}],"publication_identifier":{"eisbn":["979-8-3315-2015-1"]},"corporate_editor":["IEEE"],"user_id":"263827","urn":"urn:nbn:de:hbz:bi10-60491","keyword":["Interpretability","Classification","Pool-based Active Learning","Decision Trees"],"publication":"2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx)","publication_status":"published","quality_controlled":"1","date_created":"2025-07-10T06:20:36Z","related_material":{"link":[{"description":"This is the original article published by IEEE. Available online: 10.1109/CITREx64975.2025.10974940.","url":"10.1109/CITREx64975.2025.10974940","relation":"earlier_version"}]},"title":"Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit","file_date_updated":"2025-07-10T06:30:41Z"},{"doi":"10.1109/CITREx64975.2025.10974940","date_updated":"2026-03-17T15:29:23Z","publisher":"IEEE","page":"1-9","author":[{"full_name":"Schöne, Marvin","last_name":"Schöne","id":"218388","first_name":"Marvin"},{"id":"252434","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0002-8362-5369/work/204125762","first_name":"Bjarne","last_name":"Jaster","full_name":"Jaster, Bjarne","orcid":"0000-0002-8362-5369"},{"last_name":"Bültemeier","full_name":"Bültemeier, Julian","first_name":"Julian"},{"full_name":"Kösters, Justus","last_name":"Kösters","first_name":"Justus"},{"first_name":"Christoph-Alexander","full_name":"Holst, Christoph-Alexander","last_name":"Holst"},{"orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0002-9374-0720/work/204125763","id":"226669","first_name":"Martin","last_name":"Kohlhase","full_name":"Kohlhase, Martin","orcid":"0009-0002-9374-0720"}],"citation":{"ieee":"M. Schöne, B. Jaster, J. Bültemeier, J. Kösters, C.-A. Holst, and M. Kohlhase, “Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit,” in <i>2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx)</i>, Trondheim, Norway, 2025, pp. 1–9.","apa":"Schöne, M., Jaster, B., Bültemeier, J., Kösters, J., Holst, C.-A., &#38; Kohlhase, M. (2025). Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit. In IEEE (Ed.), <i>2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx)</i> (pp. 1–9). Trondheim, Norway: IEEE. <a href=\"https://doi.org/10.1109/CITREx64975.2025.10974940\">https://doi.org/10.1109/CITREx64975.2025.10974940</a>","bibtex":"@inproceedings{Schöne_Jaster_Bültemeier_Kösters_Holst_Kohlhase_2025, title={Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit}, DOI={<a href=\"https://doi.org/10.1109/CITREx64975.2025.10974940\">10.1109/CITREx64975.2025.10974940</a>}, booktitle={2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx)}, publisher={IEEE}, author={Schöne, Marvin and Jaster, Bjarne and Bültemeier, Julian and Kösters, Justus and Holst, Christoph-Alexander and Kohlhase, Martin}, editor={IEEEEditor}, year={2025}, pages={1–9} }","alphadin":"<span style=\"font-variant:small-caps;\">Schöne, Marvin</span> ; <span style=\"font-variant:small-caps;\">Jaster, Bjarne</span> ; <span style=\"font-variant:small-caps;\">Bültemeier, Julian</span> ; <span style=\"font-variant:small-caps;\">Kösters, Justus</span> ; <span style=\"font-variant:small-caps;\">Holst, Christoph-Alexander</span> ; <span style=\"font-variant:small-caps;\">Kohlhase, Martin</span>: Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit. In: <span style=\"font-variant:small-caps;\">IEEE</span> (Hrsg.): <i>2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx)</i> : IEEE, 2025, S. 1–9","short":"M. Schöne, B. Jaster, J. Bültemeier, J. Kösters, C.-A. Holst, M. Kohlhase, in: IEEE (Ed.), 2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx), IEEE, 2025, pp. 1–9.","chicago":"Schöne, Marvin, Bjarne Jaster, Julian Bültemeier, Justus Kösters, Christoph-Alexander Holst, and Martin Kohlhase. “Pool-Based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit.” In <i>2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx)</i>, edited by IEEE, 1–9. IEEE, 2025. <a href=\"https://doi.org/10.1109/CITREx64975.2025.10974940\">https://doi.org/10.1109/CITREx64975.2025.10974940</a>.","ama":"Schöne M, Jaster B, Bültemeier J, Kösters J, Holst C-A, Kohlhase M. Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit. In: IEEE, ed. <i>2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx)</i>. IEEE; 2025:1-9. doi:<a href=\"https://doi.org/10.1109/CITREx64975.2025.10974940\">10.1109/CITREx64975.2025.10974940</a>","mla":"Schöne, Marvin, et al. “Pool-Based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit.” <i>2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx)</i>, edited by IEEE, IEEE, 2025, pp. 1–9, doi:<a href=\"https://doi.org/10.1109/CITREx64975.2025.10974940\">10.1109/CITREx64975.2025.10974940</a>."},"status":"public","conference":{"name":"2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx)","location":"Trondheim, Norway","start_date":"2025-03-17","end_date":"2025-03-20"},"_id":"5904","year":"2025","language":[{"iso":"eng"}],"date_created":"2025-04-29T13:20:58Z","title":"Pool-based Active Learning with Decision Trees: Incorporate the Tree Structure to Explore and Exploit","quality_controlled":"1","keyword":["Interpretability","Classification","Pool-based Active Learning","Decision Trees"],"publication":"2025 IEEE Symposium on Trustworthy, Explainable and Responsible Computational Intelligence (CITREx)","publication_status":"published","project":[{"_id":"f432a2ee-bceb-11ed-a251-a83585c5074d","name":"Institute for Data Science Solutions"}],"publication_identifier":{"eisbn":["979-8-3315-2015-1"]},"type":"conference","main_file_link":[{"url":"https://ieeexplore.ieee.org/document/10974940"}],"corporate_editor":["IEEE"],"user_id":"237837"},{"title":"Least Squares Approach for Multivariate Split Selection in Regression Trees","date_created":"2022-05-02T15:33:18Z","publication_status":"published","series_title":"Lecture Notes in Computer Science","publication":"Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I","keyword":["Industry 4.0","Interpretability","Curse of dimensionality","Oblique Regression Trees","Mixed Regression Trees","CART"],"publication_identifier":{"isbn":["978-3-030-62361-6"],"eissn":["1611-3349"],"eisbn":["978-3-030-62362-3"],"issn":["0302-9743"]},"type":"conference","user_id":"220548","main_file_link":[{"url":"https://link.springer.com/content/pdf/10.1007/978-3-030-62362-3_5.pdf"}],"doi":"10.1007/978-3-030-62362-3_5","page":"41-50","publisher":"Springer International Publishing","date_updated":"2026-03-17T15:28:26Z","place":"Cham","citation":{"mla":"Schöne, Marvin, and Martin Kohlhase. “Least Squares Approach for Multivariate Split Selection in Regression Trees.” <i>Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I</i>, edited by Cesar Analide et al., Springer International Publishing, 2020, pp. 41–50, doi:<a href=\"https://doi.org/10.1007/978-3-030-62362-3_5\">10.1007/978-3-030-62362-3_5</a>.","ama":"Schöne M, Kohlhase M. Least Squares Approach for Multivariate Split Selection in Regression Trees. In: Analide C, Novais P, Camacho D, Yin H, eds. <i>Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I</i>. Lecture Notes in Computer Science. Cham: Springer International Publishing; 2020:41-50. doi:<a href=\"https://doi.org/10.1007/978-3-030-62362-3_5\">10.1007/978-3-030-62362-3_5</a>","short":"M. Schöne, M. Kohlhase, in: C. Analide, P. Novais, D. Camacho, H. Yin (Eds.), Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I, Springer International Publishing, Cham, 2020, pp. 41–50.","chicago":"Schöne, Marvin, and Martin Kohlhase. “Least Squares Approach for Multivariate Split Selection in Regression Trees.” In <i>Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I</i>, edited by Cesar Analide, Paulo Novais, David Camacho, and Hujun Yin, 41–50. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2020. <a href=\"https://doi.org/10.1007/978-3-030-62362-3_5\">https://doi.org/10.1007/978-3-030-62362-3_5</a>.","alphadin":"<span style=\"font-variant:small-caps;\">Schöne, Marvin</span> ; <span style=\"font-variant:small-caps;\">Kohlhase, Martin</span>: Least Squares Approach for Multivariate Split Selection in Regression Trees. In: <span style=\"font-variant:small-caps;\">Analide, C.</span> ; <span style=\"font-variant:small-caps;\">Novais, P.</span> ; <span style=\"font-variant:small-caps;\">Camacho, D.</span> ; <span style=\"font-variant:small-caps;\">Yin, H.</span> (Hrsg.): <i>Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I</i>, <i>Lecture Notes in Computer Science</i>. Cham : Springer International Publishing, 2020, S. 41–50","apa":"Schöne, M., &#38; Kohlhase, M. (2020). Least Squares Approach for Multivariate Split Selection in Regression Trees. In C. Analide, P. Novais, D. Camacho, &#38; H. Yin (Eds.), <i>Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I</i> (pp. 41–50). Cham: Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-030-62362-3_5\">https://doi.org/10.1007/978-3-030-62362-3_5</a>","bibtex":"@inproceedings{Schöne_Kohlhase_2020, place={Cham}, series={Lecture Notes in Computer Science}, title={Least Squares Approach for Multivariate Split Selection in Regression Trees}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-62362-3_5\">10.1007/978-3-030-62362-3_5</a>}, booktitle={Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I}, publisher={Springer International Publishing}, author={Schöne, Marvin and Kohlhase, Martin}, editor={Analide, Cesar and Novais, Paulo and Camacho, David and Yin, HujunEditors}, year={2020}, pages={41–50}, collection={Lecture Notes in Computer Science} }","ieee":"M. Schöne and M. Kohlhase, “Least Squares Approach for Multivariate Split Selection in Regression Trees,” in <i>Intelligent Data Engineering and Automated Learning – IDEAL 2020. 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part I</i>, Guimaraes, Portugal, 2020, pp. 41–50."},"author":[{"full_name":"Schöne, Marvin","last_name":"Schöne","id":"218388","first_name":"Marvin"},{"full_name":"Kohlhase, Martin","orcid":"0009-0002-9374-0720","last_name":"Kohlhase","id":"226669","first_name":"Martin"}],"conference":{"name":"International Conference on Intelligent Data Engineering and Automated Learning","location":"Guimaraes, Portugal","end_date":"2020-11-06","start_date":"2020-11-04"},"status":"public","year":"2020","editor":[{"first_name":"Cesar","full_name":"Analide, Cesar","last_name":"Analide"},{"last_name":"Novais","full_name":"Novais, Paulo","first_name":"Paulo"},{"last_name":"Camacho","full_name":"Camacho, David","first_name":"David"},{"first_name":"Hujun","full_name":"Yin, Hujun","last_name":"Yin"}],"_id":"1916","language":[{"iso":"eng"}]}]
