Probabilistic scoring lists for interpretable machine learning.

Jonas Hanselle; Stefan Heid; Johannes Fürnkranz; Eyke Hüllermeier

doi:10.1007/s10994-024-06705-w

Probabilistic scoring lists for interpretable machine learning.

Jonas Hanselle, Stefan Heid, Johannes Fürnkranz, Eyke Hüllermeier

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	55
Number of pages	31
Journal	Machine Learning
Volume	114
Issue number	3
DOIs	https://doi.org/10.1007/s10994-024-06705-w
Publication status	Published - Mar 2025

Fields of science

102001 Artificial intelligence
102032 Computational intelligence
102013 Human-computer interaction
305905 Medical informatics
102033 Data mining
102 Computer Sciences
102019 Machine learning
102028 Knowledge engineering
102015 Information systems

JKU Focus areas

Digital Transformation

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10.1007/s10994-024-06705-w

https://dblp.org/db/journals/ml/ml114.html#HanselleHFH25

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title = "Probabilistic scoring lists for interpretable machine learning.",

author = "Jonas Hanselle and Stefan Heid and Johannes F{\"u}rnkranz and Eyke H{\"u}llermeier",

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year = "2025",

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doi = "10.1007/s10994-024-06705-w",

language = "English",

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journal = "Machine Learning",

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AU - Hanselle, Jonas

AU - Heid, Stefan

AU - Fürnkranz, Johannes

AU - Hüllermeier, Eyke

PY - 2025/3

Y1 - 2025/3

UR - http://www.scopus.com/inward/record.url?scp=85218184423&partnerID=8YFLogxK

U2 - 10.1007/s10994-024-06705-w

DO - 10.1007/s10994-024-06705-w

M3 - Article

SN - 0885-6125

VL - 114

JO - Machine Learning

JF - Machine Learning

IS - 3

M1 - 55

ER -

Probabilistic scoring lists for interpretable machine learning.

Fields of science

JKU Focus areas

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