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Probabilistic Scoring Lists for Interpretable Machine Learning. In: <i>26th International Conference on Discovery Science </i>. Vol 14050. Lecture Notes in Computer Science. Springer Nature Switzerland; 2023:189-203. doi:<a href=\"https://doi.org/10.1007/978-3-031-45275-8_13\">10.1007/978-3-031-45275-8_13</a>","ieee":"J. M. Hanselle, J. Fürnkranz, and E. Hüllermeier, “Probabilistic Scoring Lists for Interpretable Machine Learning,” in <i>26th International Conference on Discovery Science </i>, Porto, 2023, vol. 14050, pp. 189–203, doi: <a href=\"https://doi.org/10.1007/978-3-031-45275-8_13\">10.1007/978-3-031-45275-8_13</a>.","chicago":"Hanselle, Jonas Manuel, Johannes Fürnkranz, and Eyke Hüllermeier. “Probabilistic Scoring Lists for Interpretable Machine Learning.” In <i>26th International Conference on Discovery Science </i>, 14050:189–203. Lecture Notes in Computer Science. 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>.","short":"J.M. Hanselle, J. Fürnkranz, E. 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