[{"type":"book_chapter","publication":"Communications in Computer and Information Science","status":"public","abstract":[{"lang":"eng","text":"<jats:title>Abstract</jats:title>\r\n          <jats:p>A scoring list is a sequence of simple decision models, where features are incrementally evaluated and scores of satisfied features are summed to be used for threshold-based decisions or for calculating class probabilities. In this paper, we introduce a new multi-class variant and compare it against previously introduced binary classification variants for incremental decisions, as well as multi-class variants for classical decision-making using all features. Furthermore, we introduce a new multi-class dataset to assess collaborative human-machine decision-making, which is suitable for user studies with non-expert participants. We demonstrate the usefulness of our approach by evaluating predictive performance and compared to the performance of participants without AI help.</jats:p>"}],"user_id":"72497","department":[{"_id":"178"},{"_id":"184"}],"project":[{"name":"TRR 318 - Subproject C2","_id":"125"}],"_id":"61820","language":[{"iso":"eng"}],"publication_status":"published","publication_identifier":{"isbn":["9783032083265","9783032083272"],"issn":["1865-0929","1865-0937"]},"citation":{"short":"S. Heid, J. Kornowicz, J. Hanselle, K. Thommes, E. Hüllermeier, in: Communications in Computer and Information Science, Springer Nature Switzerland, Cham, 2025.","mla":"Heid, Stefan, et al. “MSL: Multi-Class Scoring Lists for Interpretable Incremental Decision-Making.” <i>Communications in Computer and Information Science</i>, Springer Nature Switzerland, 2025, doi:<a href=\"https://doi.org/10.1007/978-3-032-08327-2_6\">10.1007/978-3-032-08327-2_6</a>.","bibtex":"@inbook{Heid_Kornowicz_Hanselle_Thommes_Hüllermeier_2025, place={Cham}, title={MSL: Multi-class Scoring Lists for Interpretable Incremental Decision-Making}, DOI={<a href=\"https://doi.org/10.1007/978-3-032-08327-2_6\">10.1007/978-3-032-08327-2_6</a>}, booktitle={Communications in Computer and Information Science}, publisher={Springer Nature Switzerland}, author={Heid, Stefan and Kornowicz, Jaroslaw and Hanselle, Jonas and Thommes, Kirsten and Hüllermeier, Eyke}, year={2025} }","apa":"Heid, S., Kornowicz, J., Hanselle, J., Thommes, K., &#38; Hüllermeier, E. (2025). MSL: Multi-class Scoring Lists for Interpretable Incremental Decision-Making. In <i>Communications in Computer and Information Science</i>. Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-032-08327-2_6\">https://doi.org/10.1007/978-3-032-08327-2_6</a>","chicago":"Heid, Stefan, Jaroslaw Kornowicz, Jonas Hanselle, Kirsten Thommes, and Eyke Hüllermeier. “MSL: Multi-Class Scoring Lists for Interpretable Incremental Decision-Making.” In <i>Communications in Computer and Information Science</i>. Cham: Springer Nature Switzerland, 2025. <a href=\"https://doi.org/10.1007/978-3-032-08327-2_6\">https://doi.org/10.1007/978-3-032-08327-2_6</a>.","ieee":"S. Heid, J. Kornowicz, J. Hanselle, K. Thommes, and E. Hüllermeier, “MSL: Multi-class Scoring Lists for Interpretable Incremental Decision-Making,” in <i>Communications in Computer and Information Science</i>, Cham: Springer Nature Switzerland, 2025.","ama":"Heid S, Kornowicz J, Hanselle J, Thommes K, Hüllermeier E. MSL: Multi-class Scoring Lists for Interpretable Incremental Decision-Making. In: <i>Communications in Computer and Information Science</i>. Springer Nature Switzerland; 2025. doi:<a href=\"https://doi.org/10.1007/978-3-032-08327-2_6\">10.1007/978-3-032-08327-2_6</a>"},"place":"Cham","year":"2025","date_created":"2025-10-13T13:34:36Z","author":[{"orcid":"0000-0002-9461-7372","last_name":"Heid","id":"39640","full_name":"Heid, Stefan","first_name":"Stefan"},{"first_name":"Jaroslaw","last_name":"Kornowicz","orcid":"0000-0002-5654-9911","full_name":"Kornowicz, Jaroslaw","id":"44029"},{"first_name":"Jonas","full_name":"Hanselle, Jonas","last_name":"Hanselle"},{"first_name":"Kirsten","last_name":"Thommes","full_name":"Thommes, Kirsten","id":"72497"},{"full_name":"Hüllermeier, Eyke","id":"48129","last_name":"Hüllermeier","first_name":"Eyke"}],"publisher":"Springer Nature Switzerland","date_updated":"2025-10-13T13:35:11Z","doi":"10.1007/978-3-032-08327-2_6","title":"MSL: Multi-class Scoring Lists for Interpretable Incremental Decision-Making"},{"publication":"International Journal of Approximate Reasoning","type":"journal_article","status":"public","_id":"54911","project":[{"_id":"125","name":"TRR 318 - C2: TRR 318 - Subproject C2"}],"department":[{"_id":"660"}],"user_id":"72497","article_number":"109190","language":[{"iso":"eng"}],"publication_identifier":{"issn":["0888-613X"]},"publication_status":"published","year":"2024","intvolume":"       171","citation":{"bibtex":"@article{Heid_Hanselle_Fürnkranz_Hüllermeier_2024, title={Learning decision catalogues for situated decision making: The case of scoring systems}, volume={171}, DOI={<a href=\"https://doi.org/10.1016/j.ijar.2024.109190\">10.1016/j.ijar.2024.109190</a>}, number={109190}, journal={International Journal of Approximate Reasoning}, publisher={Elsevier BV}, author={Heid, Stefan and Hanselle, Jonas Manuel and Fürnkranz, Johannes and Hüllermeier, Eyke}, year={2024} }","short":"S. Heid, J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, International Journal of Approximate Reasoning 171 (2024).","mla":"Heid, Stefan, et al. “Learning Decision Catalogues for Situated Decision Making: The Case of Scoring Systems.” <i>International Journal of Approximate Reasoning</i>, vol. 171, 109190, Elsevier BV, 2024, doi:<a href=\"https://doi.org/10.1016/j.ijar.2024.109190\">10.1016/j.ijar.2024.109190</a>.","apa":"Heid, S., Hanselle, J. M., Fürnkranz, J., &#38; Hüllermeier, E. (2024). Learning decision catalogues for situated decision making: The case of scoring systems. <i>International Journal of Approximate Reasoning</i>, <i>171</i>, Article 109190. <a href=\"https://doi.org/10.1016/j.ijar.2024.109190\">https://doi.org/10.1016/j.ijar.2024.109190</a>","ieee":"S. Heid, J. M. Hanselle, J. Fürnkranz, and E. Hüllermeier, “Learning decision catalogues for situated decision making: The case of scoring systems,” <i>International Journal of Approximate Reasoning</i>, vol. 171, Art. no. 109190, 2024, doi: <a href=\"https://doi.org/10.1016/j.ijar.2024.109190\">10.1016/j.ijar.2024.109190</a>.","chicago":"Heid, Stefan, Jonas Manuel Hanselle, Johannes Fürnkranz, and Eyke Hüllermeier. “Learning Decision Catalogues for Situated Decision Making: The Case of Scoring Systems.” <i>International Journal of Approximate Reasoning</i> 171 (2024). <a href=\"https://doi.org/10.1016/j.ijar.2024.109190\">https://doi.org/10.1016/j.ijar.2024.109190</a>.","ama":"Heid S, Hanselle JM, Fürnkranz J, Hüllermeier E. Learning decision catalogues for situated decision making: The case of scoring systems. <i>International Journal of Approximate Reasoning</i>. 2024;171. doi:<a href=\"https://doi.org/10.1016/j.ijar.2024.109190\">10.1016/j.ijar.2024.109190</a>"},"date_updated":"2024-06-26T14:28:47Z","publisher":"Elsevier BV","volume":171,"date_created":"2024-06-26T14:28:07Z","author":[{"last_name":"Heid","orcid":"0000-0002-9461-7372","id":"39640","full_name":"Heid, Stefan","first_name":"Stefan"},{"orcid":"0000-0002-1231-4985","last_name":"Hanselle","id":"43980","full_name":"Hanselle, Jonas Manuel","first_name":"Jonas Manuel"},{"first_name":"Johannes","last_name":"Fürnkranz","full_name":"Fürnkranz, Johannes"},{"id":"48129","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","first_name":"Eyke"}],"title":"Learning decision catalogues for situated decision making: The case of scoring systems","doi":"10.1016/j.ijar.2024.109190"},{"title":"Learning decision catalogues for situated decision making: The case of scoring systems","doi":"10.1016/j.ijar.2024.109190","publisher":"Elsevier BV","date_updated":"2024-06-26T14:27:42Z","volume":171,"date_created":"2024-06-26T14:27:27Z","author":[{"first_name":"Stefan","orcid":"0000-0002-9461-7372","last_name":"Heid","full_name":"Heid, Stefan","id":"39640"},{"full_name":"Hanselle, Jonas Manuel","id":"43980","orcid":"0000-0002-1231-4985","last_name":"Hanselle","first_name":"Jonas Manuel"},{"full_name":"Fürnkranz, Johannes","last_name":"Fürnkranz","first_name":"Johannes"},{"first_name":"Eyke","last_name":"Hüllermeier","id":"48129","full_name":"Hüllermeier, Eyke"}],"year":"2024","intvolume":"       171","citation":{"bibtex":"@article{Heid_Hanselle_Fürnkranz_Hüllermeier_2024, title={Learning decision catalogues for situated decision making: The case of scoring systems}, volume={171}, DOI={<a href=\"https://doi.org/10.1016/j.ijar.2024.109190\">10.1016/j.ijar.2024.109190</a>}, number={109190}, journal={International Journal of Approximate Reasoning}, publisher={Elsevier BV}, author={Heid, Stefan and Hanselle, Jonas Manuel and Fürnkranz, Johannes and Hüllermeier, Eyke}, year={2024} }","mla":"Heid, Stefan, et al. “Learning Decision Catalogues for Situated Decision Making: The Case of Scoring Systems.” <i>International Journal of Approximate Reasoning</i>, vol. 171, 109190, Elsevier BV, 2024, doi:<a href=\"https://doi.org/10.1016/j.ijar.2024.109190\">10.1016/j.ijar.2024.109190</a>.","short":"S. Heid, J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, International Journal of Approximate Reasoning 171 (2024).","apa":"Heid, S., Hanselle, J. M., Fürnkranz, J., &#38; Hüllermeier, E. (2024). Learning decision catalogues for situated decision making: The case of scoring systems. <i>International Journal of Approximate Reasoning</i>, <i>171</i>, Article 109190. <a href=\"https://doi.org/10.1016/j.ijar.2024.109190\">https://doi.org/10.1016/j.ijar.2024.109190</a>","ama":"Heid S, Hanselle JM, Fürnkranz J, Hüllermeier E. Learning decision catalogues for situated decision making: The case of scoring systems. <i>International Journal of Approximate Reasoning</i>. 2024;171. doi:<a href=\"https://doi.org/10.1016/j.ijar.2024.109190\">10.1016/j.ijar.2024.109190</a>","ieee":"S. Heid, J. M. Hanselle, J. Fürnkranz, and E. Hüllermeier, “Learning decision catalogues for situated decision making: The case of scoring systems,” <i>International Journal of Approximate Reasoning</i>, vol. 171, Art. no. 109190, 2024, doi: <a href=\"https://doi.org/10.1016/j.ijar.2024.109190\">10.1016/j.ijar.2024.109190</a>.","chicago":"Heid, Stefan, Jonas Manuel Hanselle, Johannes Fürnkranz, and Eyke Hüllermeier. “Learning Decision Catalogues for Situated Decision Making: The Case of Scoring Systems.” <i>International Journal of Approximate Reasoning</i> 171 (2024). <a href=\"https://doi.org/10.1016/j.ijar.2024.109190\">https://doi.org/10.1016/j.ijar.2024.109190</a>."},"publication_identifier":{"issn":["0888-613X"]},"publication_status":"published","article_number":"109190","language":[{"iso":"eng"}],"_id":"54910","department":[{"_id":"178"},{"_id":"184"}],"user_id":"72497","status":"public","publication":"International Journal of Approximate Reasoning","type":"journal_article"},{"title":"Learning decision catalogues for situated decision making: The case of scoring systems","doi":"10.1016/j.ijar.2024.109190","date_updated":"2024-11-20T09:44:54Z","publisher":"Elsevier BV","volume":171,"date_created":"2024-06-26T14:19:19Z","author":[{"last_name":"Heid","orcid":"0000-0002-9461-7372","id":"39640","full_name":"Heid, Stefan","first_name":"Stefan"},{"first_name":"Jonas Manuel","orcid":"0000-0002-1231-4985","last_name":"Hanselle","id":"43980","full_name":"Hanselle, Jonas Manuel"},{"last_name":"Fürnkranz","full_name":"Fürnkranz, Johannes","first_name":"Johannes"},{"last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","id":"48129","first_name":"Eyke"}],"year":"2024","intvolume":"       171","citation":{"chicago":"Heid, Stefan, Jonas Manuel Hanselle, Johannes Fürnkranz, and Eyke Hüllermeier. “Learning Decision Catalogues for Situated Decision Making: The Case of Scoring Systems.” <i>International Journal of Approximate Reasoning</i> 171 (2024). <a href=\"https://doi.org/10.1016/j.ijar.2024.109190\">https://doi.org/10.1016/j.ijar.2024.109190</a>.","ieee":"S. Heid, J. M. Hanselle, J. Fürnkranz, and E. Hüllermeier, “Learning decision catalogues for situated decision making: The case of scoring systems,” <i>International Journal of Approximate Reasoning</i>, vol. 171, Art. no. 109190, 2024, doi: <a href=\"https://doi.org/10.1016/j.ijar.2024.109190\">10.1016/j.ijar.2024.109190</a>.","ama":"Heid S, Hanselle JM, Fürnkranz J, Hüllermeier E. Learning decision catalogues for situated decision making: The case of scoring systems. <i>International Journal of Approximate Reasoning</i>. 2024;171. doi:<a href=\"https://doi.org/10.1016/j.ijar.2024.109190\">10.1016/j.ijar.2024.109190</a>","mla":"Heid, Stefan, et al. “Learning Decision Catalogues for Situated Decision Making: The Case of Scoring Systems.” <i>International Journal of Approximate Reasoning</i>, vol. 171, 109190, Elsevier BV, 2024, doi:<a href=\"https://doi.org/10.1016/j.ijar.2024.109190\">10.1016/j.ijar.2024.109190</a>.","short":"S. Heid, J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, International Journal of Approximate Reasoning 171 (2024).","bibtex":"@article{Heid_Hanselle_Fürnkranz_Hüllermeier_2024, title={Learning decision catalogues for situated decision making: The case of scoring systems}, volume={171}, DOI={<a href=\"https://doi.org/10.1016/j.ijar.2024.109190\">10.1016/j.ijar.2024.109190</a>}, number={109190}, journal={International Journal of Approximate Reasoning}, publisher={Elsevier BV}, author={Heid, Stefan and Hanselle, Jonas Manuel and Fürnkranz, Johannes and Hüllermeier, Eyke}, year={2024} }","apa":"Heid, S., Hanselle, J. M., Fürnkranz, J., &#38; Hüllermeier, E. (2024). Learning decision catalogues for situated decision making: The case of scoring systems. <i>International Journal of Approximate Reasoning</i>, <i>171</i>, Article 109190. <a href=\"https://doi.org/10.1016/j.ijar.2024.109190\">https://doi.org/10.1016/j.ijar.2024.109190</a>"},"publication_identifier":{"issn":["0888-613X"]},"publication_status":"published","article_number":"109190","language":[{"iso":"eng"}],"_id":"54907","project":[{"name":"TRR 318 - C2: TRR 318 - Subproject C2","_id":"125"}],"department":[{"_id":"660"}],"user_id":"72497","status":"public","publication":"International Journal of Approximate Reasoning","type":"journal_article"},{"_id":"57645","project":[{"name":"TRR 318 - C2: TRR 318 - Subproject C2","_id":"125"}],"department":[{"_id":"178"},{"_id":"184"}],"user_id":"72497","language":[{"iso":"eng"}],"publication":"PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE","type":"conference","status":"public","date_updated":"2024-12-09T08:06:37Z","volume":21,"date_created":"2024-12-09T08:05:54Z","author":[{"id":"39640","full_name":"Heid, Stefan","last_name":"Heid","orcid":"0000-0002-9461-7372","first_name":"Stefan"},{"first_name":"Jaroslaw","full_name":"Kornowicz, Jaroslaw","id":"44029","last_name":"Kornowicz","orcid":"0000-0002-5654-9911"},{"id":"43980","full_name":"Hanselle, Jonas Manuel","last_name":"Hanselle","orcid":"0000-0002-1231-4985","first_name":"Jonas Manuel"},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","id":"48129","last_name":"Hüllermeier"},{"last_name":"Thommes","id":"72497","full_name":"Thommes, Kirsten","first_name":"Kirsten"}],"title":"Human-AI Co-Construction of Interpretable Predictive Models: The Case of Scoring Systems","year":"2024","intvolume":"        21","page":"233","citation":{"mla":"Heid, Stefan, et al. “Human-AI Co-Construction of Interpretable Predictive Models: The Case of Scoring Systems.” <i>PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE</i>, vol. 21, 2024, p. 233.","short":"S. Heid, J. Kornowicz, J.M. Hanselle, E. Hüllermeier, K. Thommes, in: PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE, 2024, p. 233.","bibtex":"@inproceedings{Heid_Kornowicz_Hanselle_Hüllermeier_Thommes_2024, title={Human-AI Co-Construction of Interpretable Predictive Models: The Case of Scoring Systems}, volume={21}, booktitle={PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE}, author={Heid, Stefan and Kornowicz, Jaroslaw and Hanselle, Jonas Manuel and Hüllermeier, Eyke and Thommes, Kirsten}, year={2024}, pages={233} }","apa":"Heid, S., Kornowicz, J., Hanselle, J. M., Hüllermeier, E., &#38; Thommes, K. (2024). Human-AI Co-Construction of Interpretable Predictive Models: The Case of Scoring Systems. <i>PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE</i>, <i>21</i>, 233.","ama":"Heid S, Kornowicz J, Hanselle JM, Hüllermeier E, Thommes K. Human-AI Co-Construction of Interpretable Predictive Models: The Case of Scoring Systems. In: <i>PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE</i>. Vol 21. ; 2024:233.","chicago":"Heid, Stefan, Jaroslaw Kornowicz, Jonas Manuel Hanselle, Eyke Hüllermeier, and Kirsten Thommes. “Human-AI Co-Construction of Interpretable Predictive Models: The Case of Scoring Systems.” In <i>PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE</i>, 21:233, 2024.","ieee":"S. Heid, J. Kornowicz, J. M. Hanselle, E. Hüllermeier, and K. Thommes, “Human-AI Co-Construction of Interpretable Predictive Models: The Case of Scoring Systems,” in <i>PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE</i>, 2024, vol. 21, p. 233."}},{"publication_identifier":{"issn":["1613-0073"]},"year":"2023","citation":{"apa":"Hanselle, J. M., Kornowicz, J., Heid, S., Thommes, K., &#38; Hüllermeier, E. (2023). Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain. In M. Leyer &#38; J. Wichmann (Eds.), <i>LWDA’23: Learning, Knowledge, Data, Analysis. </i>.","mla":"Hanselle, Jonas Manuel, et al. “Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain.” <i>LWDA’23: Learning, Knowledge, Data, Analysis. </i>, edited by M Leyer and J Wichmann, 2023.","short":"J.M. Hanselle, J. Kornowicz, S. Heid, K. Thommes, E. Hüllermeier, in: M. Leyer, J. Wichmann (Eds.), LWDA’23: Learning, Knowledge, Data, Analysis. , 2023.","bibtex":"@inproceedings{Hanselle_Kornowicz_Heid_Thommes_Hüllermeier_2023, title={Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain}, booktitle={LWDA’23: Learning, Knowledge, Data, Analysis. }, author={Hanselle, Jonas Manuel and Kornowicz, Jaroslaw and Heid, Stefan and Thommes, Kirsten and Hüllermeier, Eyke}, editor={Leyer, M and Wichmann, J}, year={2023} }","ama":"Hanselle JM, Kornowicz J, Heid S, Thommes K, Hüllermeier E. Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain. In: Leyer M, Wichmann J, eds. <i>LWDA’23: Learning, Knowledge, Data, Analysis. </i>. ; 2023.","ieee":"J. M. Hanselle, J. Kornowicz, S. Heid, K. Thommes, and E. Hüllermeier, “Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain,” in <i>LWDA’23: Learning, Knowledge, Data, Analysis. </i>, 2023.","chicago":"Hanselle, Jonas Manuel, Jaroslaw Kornowicz, Stefan Heid, Kirsten Thommes, and Eyke Hüllermeier. “Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain.” In <i>LWDA’23: Learning, Knowledge, Data, Analysis. </i>, edited by M Leyer and J Wichmann, 2023."},"date_updated":"2024-12-09T08:09:28Z","date_created":"2024-02-07T09:24:37Z","author":[{"first_name":"Jonas Manuel","last_name":"Hanselle","orcid":"0000-0002-1231-4985","id":"43980","full_name":"Hanselle, Jonas Manuel"},{"last_name":"Kornowicz","orcid":"0000-0002-5654-9911","full_name":"Kornowicz, Jaroslaw","id":"44029","first_name":"Jaroslaw"},{"first_name":"Stefan","last_name":"Heid","orcid":"0000-0002-9461-7372","id":"39640","full_name":"Heid, Stefan"},{"id":"72497","full_name":"Thommes, Kirsten","last_name":"Thommes","first_name":"Kirsten"},{"first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","id":"48129"}],"title":"Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain","main_file_link":[{"url":"https://ceur-ws.org/Vol-3630/LWDA2023-paper38.pdf"}],"type":"conference","publication":"LWDA’23: Learning, Knowledge, Data, Analysis. ","editor":[{"last_name":"Leyer","full_name":"Leyer, M","first_name":"M"},{"last_name":"Wichmann","full_name":"Wichmann, J","first_name":"J"}],"status":"public","project":[{"_id":"125","name":"TRR 318 - C2: TRR 318 - Subproject C2"}],"_id":"51209","user_id":"72497","department":[{"_id":"178"},{"_id":"184"}],"language":[{"iso":"eng"}]},{"language":[{"iso":"eng"}],"_id":"29653","user_id":"66","department":[{"_id":"52"},{"_id":"57"}],"status":"public","type":"journal_article","publication":"IEEE Access","title":"Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments","doi":"10.1109/ACCESS.2021.3062144","publisher":"IEEE","date_updated":"2022-02-23T08:34:42Z","date_created":"2022-01-28T14:11:05Z","author":[{"first_name":"Daniel","full_name":"Weber, Daniel","id":"24041","last_name":"Weber","orcid":"0000-0003-3367-5998"},{"last_name":"Heid","orcid":"0000-0002-9461-7372","full_name":"Heid, Stefan","id":"39640","first_name":"Stefan"},{"first_name":"Henrik","last_name":"Bode","id":"40880","full_name":"Bode, Henrik"},{"id":"78801","full_name":"Lange, Jarren","last_name":"Lange","first_name":"Jarren"},{"full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","first_name":"Eyke"},{"first_name":"Oliver","id":"11291","full_name":"Wallscheid, Oliver","last_name":"Wallscheid","orcid":"https://orcid.org/0000-0001-9362-8777"}],"volume":9,"year":"2021","citation":{"ieee":"D. Weber, S. Heid, H. Bode, J. Lange, E. Hüllermeier, and O. Wallscheid, “Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments,” <i>IEEE Access</i>, vol. 9, pp. 35654–35669, 2021, doi: <a href=\"https://doi.org/10.1109/ACCESS.2021.3062144\">10.1109/ACCESS.2021.3062144</a>.","chicago":"Weber, Daniel, Stefan Heid, Henrik Bode, Jarren Lange, Eyke Hüllermeier, and Oliver Wallscheid. “Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments.” <i>IEEE Access</i> 9 (2021): 35654–35669. <a href=\"https://doi.org/10.1109/ACCESS.2021.3062144\">https://doi.org/10.1109/ACCESS.2021.3062144</a>.","ama":"Weber D, Heid S, Bode H, Lange J, Hüllermeier E, Wallscheid O. Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments. <i>IEEE Access</i>. 2021;9:35654–35669. doi:<a href=\"https://doi.org/10.1109/ACCESS.2021.3062144\">10.1109/ACCESS.2021.3062144</a>","apa":"Weber, D., Heid, S., Bode, H., Lange, J., Hüllermeier, E., &#38; Wallscheid, O. (2021). Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments. <i>IEEE Access</i>, <i>9</i>, 35654–35669. <a href=\"https://doi.org/10.1109/ACCESS.2021.3062144\">https://doi.org/10.1109/ACCESS.2021.3062144</a>","mla":"Weber, Daniel, et al. “Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments.” <i>IEEE Access</i>, vol. 9, IEEE, 2021, pp. 35654–35669, doi:<a href=\"https://doi.org/10.1109/ACCESS.2021.3062144\">10.1109/ACCESS.2021.3062144</a>.","short":"D. Weber, S. Heid, H. Bode, J. Lange, E. Hüllermeier, O. Wallscheid, IEEE Access 9 (2021) 35654–35669.","bibtex":"@article{Weber_Heid_Bode_Lange_Hüllermeier_Wallscheid_2021, title={Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments}, volume={9}, DOI={<a href=\"https://doi.org/10.1109/ACCESS.2021.3062144\">10.1109/ACCESS.2021.3062144</a>}, journal={IEEE Access}, publisher={IEEE}, author={Weber, Daniel and Heid, Stefan and Bode, Henrik and Lange, Jarren and Hüllermeier, Eyke and Wallscheid, Oliver}, year={2021}, pages={35654–35669} }"},"page":"35654–35669","intvolume":"         9"},{"year":"2020","citation":{"ama":"Bode H, Heid SH, Weber D, Hüllermeier E, Wallscheid O. Towards a Scalable and Flexible Simulation and Testing Environment  Toolbox for Intelligent Microgrid Control. <i>arXiv:200504869</i>. 2020.","ieee":"H. Bode, S. H. Heid, D. Weber, E. Hüllermeier, and O. Wallscheid, “Towards a Scalable and Flexible Simulation and Testing Environment  Toolbox for Intelligent Microgrid Control,” <i>arXiv:2005.04869</i>. 2020.","chicago":"Bode, Henrik, Stefan Helmut Heid, Daniel Weber, Eyke Hüllermeier, and Oliver Wallscheid. “Towards a Scalable and Flexible Simulation and Testing Environment  Toolbox for Intelligent Microgrid Control.” <i>ArXiv:2005.04869</i>, 2020.","mla":"Bode, Henrik, et al. “Towards a Scalable and Flexible Simulation and Testing Environment  Toolbox for Intelligent Microgrid Control.” <i>ArXiv:2005.04869</i>, 2020.","bibtex":"@article{Bode_Heid_Weber_Hüllermeier_Wallscheid_2020, title={Towards a Scalable and Flexible Simulation and Testing Environment  Toolbox for Intelligent Microgrid Control}, journal={arXiv:2005.04869}, author={Bode, Henrik and Heid, Stefan Helmut and Weber, Daniel and Hüllermeier, Eyke and Wallscheid, Oliver}, year={2020} }","short":"H. Bode, S.H. Heid, D. Weber, E. Hüllermeier, O. Wallscheid, ArXiv:2005.04869 (2020).","apa":"Bode, H., Heid, S. H., Weber, D., Hüllermeier, E., &#38; Wallscheid, O. (2020). Towards a Scalable and Flexible Simulation and Testing Environment  Toolbox for Intelligent Microgrid Control. <i>ArXiv:2005.04869</i>."},"title":"Towards a Scalable and Flexible Simulation and Testing Environment  Toolbox for Intelligent Microgrid Control","main_file_link":[{"url":"https://arxiv.org/pdf/2005.04869.pdf","open_access":"1"}],"date_updated":"2022-01-06T06:54:07Z","oa":"1","author":[{"first_name":"Henrik","last_name":"Bode","full_name":"Bode, Henrik"},{"last_name":"Heid","orcid":"0000-0002-9461-7372","full_name":"Heid, Stefan Helmut","id":"39640","first_name":"Stefan Helmut"},{"first_name":"Daniel","full_name":"Weber, Daniel","last_name":"Weber"},{"id":"48129","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","first_name":"Eyke"},{"last_name":"Wallscheid","full_name":"Wallscheid, Oliver","first_name":"Oliver"}],"date_created":"2020-09-21T10:01:36Z","abstract":[{"text":"Micro- and smart grids (MSG) play an important role both for integrating\r\nrenewable energy sources in conventional electricity grids and for providing\r\npower supply in remote areas. Modern MSGs are largely driven by power\r\nelectronic converters due to their high efficiency and flexibility.\r\nNevertheless, controlling MSGs is a challenging task due to highest\r\nrequirements on energy availability, safety and voltage quality within a wide\r\nrange of different MSG topologies. This results in a high demand for\r\ncomprehensive testing of new control concepts during their development phase\r\nand comparisons with the state of the art in order to ensure their feasibility.\r\nThis applies in particular to data-driven control approaches from the field of\r\nreinforcement learning (RL), whose stability and operating behavior can hardly\r\nbe evaluated a priori. Therefore, the OpenModelica Microgrid Gym (OMG) package,\r\nan open-source software toolbox for the simulation and control optimization of\r\nMSGs, is proposed. It is capable of modeling and simulating arbitrary MSG\r\ntopologies and offers a Python-based interface for plug \\& play controller\r\ntesting. In particular, the standardized OpenAI Gym interface allows for easy\r\nRL-based controller integration. Besides the presentation of the OMG toolbox,\r\napplication examples are highlighted including safe Bayesian optimization for\r\nlow-level controller tuning.","lang":"eng"}],"status":"public","type":"preprint","publication":"arXiv:2005.04869","language":[{"iso":"eng"}],"_id":"19603","user_id":"39640"},{"_id":"24146","user_id":"66937","language":[{"iso":"eng"}],"publication":"Proceedings-30. Workshop Computational Intelligence: Berlin, 26.-27. November 2020","type":"conference","status":"public","date_updated":"2022-01-06T06:56:08Z","volume":26,"date_created":"2021-09-10T09:59:16Z","author":[{"id":"39640","full_name":"Heid, Stefan Helmut","orcid":"0000-0002-9461-7372","last_name":"Heid","first_name":"Stefan Helmut"},{"last_name":"Ramaswamy","orcid":"https://orcid.org/ 0000-0001-7547-8111","full_name":"Ramaswamy, Arunselvan","id":"66937","first_name":"Arunselvan"},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","id":"48129","last_name":"Hüllermeier"}],"title":"Constrained Multi-Agent Optimization with Unbounded Information Delay","year":"2020","page":"247","intvolume":"        26","citation":{"mla":"Heid, Stefan Helmut, et al. “Constrained Multi-Agent Optimization with Unbounded Information Delay.” <i>Proceedings-30. Workshop Computational Intelligence: Berlin, 26.-27. November 2020</i>, vol. 26, 2020, p. 247.","bibtex":"@inproceedings{Heid_Ramaswamy_Hüllermeier_2020, title={Constrained Multi-Agent Optimization with Unbounded Information Delay}, volume={26}, booktitle={Proceedings-30. Workshop Computational Intelligence: Berlin, 26.-27. November 2020}, author={Heid, Stefan Helmut and Ramaswamy, Arunselvan and Hüllermeier, Eyke}, year={2020}, pages={247} }","short":"S.H. Heid, A. Ramaswamy, E. Hüllermeier, in: Proceedings-30. Workshop Computational Intelligence: Berlin, 26.-27. November 2020, 2020, p. 247.","apa":"Heid, S. H., Ramaswamy, A., &#38; Hüllermeier, E. (2020). Constrained Multi-Agent Optimization with Unbounded Information Delay. <i>Proceedings-30. Workshop Computational Intelligence: Berlin, 26.-27. November 2020</i>, <i>26</i>, 247.","ama":"Heid SH, Ramaswamy A, Hüllermeier E. Constrained Multi-Agent Optimization with Unbounded Information Delay. In: <i>Proceedings-30. Workshop Computational Intelligence: Berlin, 26.-27. November 2020</i>. Vol 26. ; 2020:247.","chicago":"Heid, Stefan Helmut, Arunselvan Ramaswamy, and Eyke Hüllermeier. “Constrained Multi-Agent Optimization with Unbounded Information Delay.” In <i>Proceedings-30. Workshop Computational Intelligence: Berlin, 26.-27. November 2020</i>, 26:247, 2020.","ieee":"S. H. Heid, A. Ramaswamy, and E. Hüllermeier, “Constrained Multi-Agent Optimization with Unbounded Information Delay,” in <i>Proceedings-30. Workshop Computational Intelligence: Berlin, 26.-27. November 2020</i>, 2020, vol. 26, p. 247."}},{"language":[{"iso":"eng"}],"user_id":"5786","department":[{"_id":"34"},{"_id":"355"},{"_id":"26"}],"project":[{"name":"InterGramm","_id":"39"}],"_id":"17605","status":"public","abstract":[{"text":"Syntactic annotation of corpora in the form of part-of-speech (POS) tags is a key requirement for both linguistic research and subsequent automated natural language processing (NLP) tasks. This problem is commonly tackled using machine learning methods, i.e., by training a POS tagger on a sufficiently large corpus of labeled data. \r\nWhile the problem of POS tagging can essentially be considered as solved for modern languages, historical corpora turn out to be much more difficult, especially due to the lack of native speakers and sparsity of training data. Moreover, most texts have no sentences as we know them today, nor a common orthography.\r\nThese irregularities render the task of automated POS tagging more difficult and error-prone. Under these circumstances, instead  of forcing the POS tagger to predict and commit to a single tag, it should be enabled to express its uncertainty. In this paper, we consider POS tagging within the framework of set-valued prediction, which allows the POS tagger to express its uncertainty via predicting a set of candidate POS tags instead of guessing a single one. The goal is to guarantee a high confidence that the correct POS tag is included while keeping the number of candidates small.\r\nIn our experimental study, we find that extending state-of-the-art POS taggers to set-valued prediction yields more precise and robust taggings, especially for unknown words, i.e., words not occurring in the training data.","lang":"eng"}],"type":"preprint","publication":"Journal of Data Mining and Digital Humanities","main_file_link":[{"url":"https://arxiv.org/abs/2008.01377","open_access":"1"}],"title":"Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction","author":[{"first_name":"Stefan Helmut","id":"39640","full_name":"Heid, Stefan Helmut","last_name":"Heid","orcid":"0000-0002-9461-7372"},{"first_name":"Marcel Dominik","id":"33176","full_name":"Wever, Marcel Dominik","orcid":" https://orcid.org/0000-0001-9782-6818","last_name":"Wever"},{"first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","id":"48129"}],"date_created":"2020-08-05T06:52:53Z","publisher":"episciences","date_updated":"2022-01-06T06:53:15Z","oa":"1","citation":{"chicago":"Heid, Stefan Helmut, Marcel Dominik Wever, and Eyke Hüllermeier. “Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction.” <i>Journal of Data Mining and Digital Humanities</i>. episciences, n.d.","ieee":"S. H. Heid, M. D. Wever, and E. Hüllermeier, “Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction,” <i>Journal of Data Mining and Digital Humanities</i>. episciences.","ama":"Heid SH, Wever MD, Hüllermeier E. Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction. <i>Journal of Data Mining and Digital Humanities</i>.","short":"S.H. Heid, M.D. Wever, E. Hüllermeier, Journal of Data Mining and Digital Humanities (n.d.).","bibtex":"@article{Heid_Wever_Hüllermeier, title={Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction}, journal={Journal of Data Mining and Digital Humanities}, publisher={episciences}, author={Heid, Stefan Helmut and Wever, Marcel Dominik and Hüllermeier, Eyke} }","mla":"Heid, Stefan Helmut, et al. “Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction.” <i>Journal of Data Mining and Digital Humanities</i>, episciences.","apa":"Heid, S. H., Wever, M. D., &#38; Hüllermeier, E. (n.d.). Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction. In <i>Journal of Data Mining and Digital Humanities</i>. episciences."},"year":"2020","publication_status":"submitted"},{"issue":"54","page":"2435","intvolume":"         5","citation":{"ieee":"S. Heid, D. Weber, H. Bode, E. Hüllermeier, and O. Wallscheid, “OMG: A scalable and flexible simulation and testing environment toolbox for intelligent microgrid control,” <i>Journal of Open Source Software</i>, vol. 5, no. 54, p. 2435, 2020.","chicago":"Heid, Stefan, Daniel Weber, Henrik Bode, Eyke Hüllermeier, and Oliver Wallscheid. “OMG: A Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control.” <i>Journal of Open Source Software</i> 5, no. 54 (2020): 2435.","ama":"Heid S, Weber D, Bode H, Hüllermeier E, Wallscheid O. OMG: A scalable and flexible simulation and testing environment toolbox for intelligent microgrid control. <i>Journal of Open Source Software</i>. 2020;5(54):2435.","bibtex":"@article{Heid_Weber_Bode_Hüllermeier_Wallscheid_2020, title={OMG: A scalable and flexible simulation and testing environment toolbox for intelligent microgrid control}, volume={5}, number={54}, journal={Journal of Open Source Software}, author={Heid, Stefan and Weber, Daniel and Bode, Henrik and Hüllermeier, Eyke and Wallscheid, Oliver}, year={2020}, pages={2435} }","short":"S. Heid, D. Weber, H. Bode, E. Hüllermeier, O. Wallscheid, Journal of Open Source Software 5 (2020) 2435.","mla":"Heid, Stefan, et al. “OMG: A Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control.” <i>Journal of Open Source Software</i>, vol. 5, no. 54, 2020, p. 2435.","apa":"Heid, S., Weber, D., Bode, H., Hüllermeier, E., &#38; Wallscheid, O. (2020). OMG: A scalable and flexible simulation and testing environment toolbox for intelligent microgrid control. <i>Journal of Open Source Software</i>, <i>5</i>(54), 2435."},"year":"2020","volume":5,"date_created":"2022-01-28T14:11:04Z","author":[{"last_name":"Heid","orcid":"0000-0002-9461-7372","full_name":"Heid, Stefan","id":"39640","first_name":"Stefan"},{"orcid":"0000-0003-3367-5998","last_name":"Weber","id":"24041","full_name":"Weber, Daniel","first_name":"Daniel"},{"full_name":"Bode, Henrik","id":"40880","last_name":"Bode","first_name":"Henrik"},{"full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","first_name":"Eyke"},{"first_name":"Oliver","full_name":"Wallscheid, Oliver","id":"11291","last_name":"Wallscheid","orcid":"https://orcid.org/0000-0001-9362-8777"}],"date_updated":"2022-03-02T07:16:15Z","title":"OMG: A scalable and flexible simulation and testing environment toolbox for intelligent microgrid control","publication":"Journal of Open Source Software","type":"journal_article","status":"public","department":[{"_id":"52"},{"_id":"57"}],"user_id":"11291","_id":"29649","language":[{"iso":"eng"}]},{"title":"Towards a scalable and flexible simulation and testing environment toolbox for intelligent microgrid control","author":[{"first_name":"Henrik","last_name":"Bode","full_name":"Bode, Henrik","id":"40880"},{"first_name":"Stefan","last_name":"Heid","orcid":"0000-0002-9461-7372","full_name":"Heid, Stefan","id":"39640"},{"last_name":"Weber","orcid":"0000-0003-3367-5998","full_name":"Weber, Daniel","id":"24041","first_name":"Daniel"},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier"},{"full_name":"Wallscheid, Oliver","id":"11291","orcid":"https://orcid.org/0000-0001-9362-8777","last_name":"Wallscheid","first_name":"Oliver"}],"date_created":"2022-01-28T14:11:03Z","date_updated":"2022-03-02T07:17:27Z","citation":{"ieee":"H. Bode, S. Heid, D. Weber, E. Hüllermeier, and O. Wallscheid, “Towards a scalable and flexible simulation and testing environment toolbox for intelligent microgrid control,” <i>arXiv preprint arXiv:2005.04869</i>, 2020.","chicago":"Bode, Henrik, Stefan Heid, Daniel Weber, Eyke Hüllermeier, and Oliver Wallscheid. “Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control.” <i>ArXiv Preprint ArXiv:2005.04869</i>, 2020.","ama":"Bode H, Heid S, Weber D, Hüllermeier E, Wallscheid O. Towards a scalable and flexible simulation and testing environment toolbox for intelligent microgrid control. <i>arXiv preprint arXiv:200504869</i>. Published online 2020.","mla":"Bode, Henrik, et al. “Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control.” <i>ArXiv Preprint ArXiv:2005.04869</i>, 2020.","bibtex":"@article{Bode_Heid_Weber_Hüllermeier_Wallscheid_2020, title={Towards a scalable and flexible simulation and testing environment toolbox for intelligent microgrid control}, journal={arXiv preprint arXiv:2005.04869}, author={Bode, Henrik and Heid, Stefan and Weber, Daniel and Hüllermeier, Eyke and Wallscheid, Oliver}, year={2020} }","short":"H. Bode, S. Heid, D. Weber, E. Hüllermeier, O. Wallscheid, ArXiv Preprint ArXiv:2005.04869 (2020).","apa":"Bode, H., Heid, S., Weber, D., Hüllermeier, E., &#38; Wallscheid, O. (2020). Towards a scalable and flexible simulation and testing environment toolbox for intelligent microgrid control. <i>ArXiv Preprint ArXiv:2005.04869</i>."},"year":"2020","language":[{"iso":"eng"}],"user_id":"11291","department":[{"_id":"52"}],"_id":"29644","status":"public","type":"journal_article","publication":"arXiv preprint arXiv:2005.04869"}]