{"department":[{"_id":"660"}],"user_id":"72497","_id":"54909","project":[{"name":"TRR 318 - C2: TRR 318 - Subproject C2","_id":"125"}],"language":[{"iso":"eng"}],"publication":"Discovery Science","type":"book_chapter","status":"public","author":[{"first_name":"Jonas Manuel","orcid":"0000-0002-1231-4985","last_name":"Hanselle","id":"43980","full_name":"Hanselle, Jonas Manuel"},{"full_name":"Fürnkranz, Johannes","last_name":"Fürnkranz","first_name":"Johannes"},{"last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","id":"48129","first_name":"Eyke"}],"date_created":"2024-06-26T14:24:29Z","publisher":"Springer Nature Switzerland","date_updated":"2024-06-26T14:25:50Z","doi":"10.1007/978-3-031-45275-8_13","title":"Probabilistic Scoring Lists for Interpretable Machine Learning","publication_identifier":{"isbn":["9783031452741","9783031452758"],"issn":["0302-9743","1611-3349"]},"publication_status":"published","citation":{"apa":"Hanselle, J. M., Fürnkranz, J., & Hüllermeier, E. (2023). Probabilistic Scoring Lists for Interpretable Machine Learning. In Discovery Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-45275-8_13","ama":"Hanselle JM, Fürnkranz J, Hüllermeier E. Probabilistic Scoring Lists for Interpretable Machine Learning. In: Discovery Science. Springer Nature Switzerland; 2023. doi:10.1007/978-3-031-45275-8_13","short":"J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, in: Discovery Science, Springer Nature Switzerland, Cham, 2023.","mla":"Hanselle, Jonas Manuel, et al. “Probabilistic Scoring Lists for Interpretable Machine Learning.” Discovery Science, Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-45275-8_13.","bibtex":"@inbook{Hanselle_Fürnkranz_Hüllermeier_2023, place={Cham}, title={Probabilistic Scoring Lists for Interpretable Machine Learning}, DOI={10.1007/978-3-031-45275-8_13}, booktitle={Discovery Science}, publisher={Springer Nature Switzerland}, author={Hanselle, Jonas Manuel and Fürnkranz, Johannes and Hüllermeier, Eyke}, year={2023} }","ieee":"J. M. Hanselle, J. Fürnkranz, and E. Hüllermeier, “Probabilistic Scoring Lists for Interpretable Machine Learning,” in Discovery Science, Cham: Springer Nature Switzerland, 2023.","chicago":"Hanselle, Jonas Manuel, Johannes Fürnkranz, and Eyke Hüllermeier. “Probabilistic Scoring Lists for Interpretable Machine Learning.” In Discovery Science. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-45275-8_13."},"place":"Cham","year":"2023"}