book chapter published Jonas Manuel Hanselle author 439800000-0002-1231-4985 Johannes Fürnkranz author Eyke Hüllermeier author 48129 660 department TRR 318 - C2: TRR 318 - Subproject C2 project Springer Nature Switzerland2023 eng 0302-9743 1611-3349 9783031452741 978303145275810.1007/978-3-031-45275-8_13 Hanselle, Jonas Manuel, Johannes Fürnkranz, and Eyke Hüllermeier. “Probabilistic Scoring Lists for Interpretable Machine Learning.” In <i>Discovery Science</i>. Cham: Springer Nature Switzerland, 2023. <a href="https://doi.org/10.1007/978-3-031-45275-8_13">https://doi.org/10.1007/978-3-031-45275-8_13</a>. J. M. Hanselle, J. Fürnkranz, and E. Hüllermeier, “Probabilistic Scoring Lists for Interpretable Machine Learning,” in <i>Discovery Science</i>, Cham: Springer Nature Switzerland, 2023. Hanselle, Jonas Manuel, et al. “Probabilistic Scoring Lists for Interpretable Machine Learning.” <i>Discovery Science</i>, Springer Nature Switzerland, 2023, doi:<a href="https://doi.org/10.1007/978-3-031-45275-8_13">10.1007/978-3-031-45275-8_13</a>. J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, in: Discovery Science, Springer Nature Switzerland, Cham, 2023. @inbook{Hanselle_Fürnkranz_Hüllermeier_2023, place={Cham}, title={Probabilistic Scoring Lists for Interpretable Machine Learning}, DOI={<a href="https://doi.org/10.1007/978-3-031-45275-8_13">10.1007/978-3-031-45275-8_13</a>}, booktitle={Discovery Science}, publisher={Springer Nature Switzerland}, author={Hanselle, Jonas Manuel and Fürnkranz, Johannes and Hüllermeier, Eyke}, year={2023} } Hanselle JM, Fürnkranz J, Hüllermeier E. Probabilistic Scoring Lists for Interpretable Machine Learning. In: <i>Discovery Science</i>. Springer Nature Switzerland; 2023. doi:<a href="https://doi.org/10.1007/978-3-031-45275-8_13">10.1007/978-3-031-45275-8_13</a> Hanselle, J. M., Fürnkranz, J., &#38; Hüllermeier, E. (2023). Probabilistic Scoring Lists for Interpretable Machine Learning. In <i>Discovery Science</i>. Springer Nature Switzerland. <a href="https://doi.org/10.1007/978-3-031-45275-8_13">https://doi.org/10.1007/978-3-031-45275-8_13</a> 549092024-06-26T14:24:29Z2024-06-26T14:25:50Z