Feature interaction graphs for exact interpretable learning solver selection: an empirical diagnostic study

Zhigao Huang, Miao Pan, Yuzhuo Pan, Quanfa Li

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DOI: 10.1038/s41598-026-59859-z
Published: 2026-06-27
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-59859-z,
  title = {Feature interaction graphs for exact interpretable learning solver selection: an empirical diagnostic study},
  author = {Zhigao Huang and Miao Pan and Yuzhuo Pan and Quanfa Li},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-59859-z},
  url = {https://doi.org/10.1038/s41598-026-59859-z}
}

RIS

TY  - JOUR
TI  - Feature interaction graphs for exact interpretable learning solver selection: an empirical diagnostic study
AU  - Zhigao Huang
AU  - Miao Pan
AU  - Yuzhuo Pan
AU  - Quanfa Li
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-59859-z
UR  - https://doi.org/10.1038/s41598-026-59859-z
ER  -

APA

Huang, Z., Pan, M., Pan, Y., & Li, Q. (2026). Feature interaction graphs for exact interpretable learning solver selection: an empirical diagnostic study. Scientific Reports. https://doi.org/10.1038/s41598-026-59859-z

Source records

crossref · retrieved 2026-09-26T01:57:55.196Z