MSL: Multi-class Scoring Lists for Interpretable Incremental Decision-Making
S. Heid, J. Kornowicz, J. Hanselle, K. Thommes, E. Hüllermeier, in: Communications in Computer and Information Science, Springer Nature Switzerland, Cham, 2025.
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Heid, StefanLibreCat 
;
Kornowicz, JaroslawLibreCat ;
Hanselle, Jonas;
Thommes, KirstenLibreCat;
Hüllermeier, EykeLibreCat
;
Kornowicz, JaroslawLibreCat ;
Hanselle, Jonas;
Thommes, KirstenLibreCat;
Hüllermeier, EykeLibreCatDepartment
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<jats:title>Abstract</jats:title>
<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>
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Communications in Computer and Information Science
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Heid S, Kornowicz J, Hanselle J, Thommes K, Hüllermeier E. MSL: Multi-class Scoring Lists for Interpretable Incremental Decision-Making. In: Communications in Computer and Information Science. Springer Nature Switzerland; 2025. doi:10.1007/978-3-032-08327-2_6
Heid, S., Kornowicz, J., Hanselle, J., Thommes, K., & Hüllermeier, E. (2025). MSL: Multi-class Scoring Lists for Interpretable Incremental Decision-Making. In Communications in Computer and Information Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-08327-2_6
@inbook{Heid_Kornowicz_Hanselle_Thommes_Hüllermeier_2025, place={Cham}, title={MSL: Multi-class Scoring Lists for Interpretable Incremental Decision-Making}, DOI={10.1007/978-3-032-08327-2_6}, 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} }
Heid, Stefan, Jaroslaw Kornowicz, Jonas Hanselle, Kirsten Thommes, and Eyke Hüllermeier. “MSL: Multi-Class Scoring Lists for Interpretable Incremental Decision-Making.” In Communications in Computer and Information Science. Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-032-08327-2_6.
S. Heid, J. Kornowicz, J. Hanselle, K. Thommes, and E. Hüllermeier, “MSL: Multi-class Scoring Lists for Interpretable Incremental Decision-Making,” in Communications in Computer and Information Science, Cham: Springer Nature Switzerland, 2025.
Heid, Stefan, et al. “MSL: Multi-Class Scoring Lists for Interpretable Incremental Decision-Making.” Communications in Computer and Information Science, Springer Nature Switzerland, 2025, doi:10.1007/978-3-032-08327-2_6.
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