SIRUS.jl: Interpretable Machine Learning via Rule Extraction

Julia Submitted 07 July 2023Published 12 October 2023
Review

Editor: @jbytecode (all papers)
Reviewers: @sylvaticus (all reviews), @gdalle (all reviews)

Authors

Rik Huijzer (0000-0001-9445-8466), Frank Blaauw (0000-0002-6588-5079), Ruud J.R. den Hartigh (0000-0002-0094-8307)

Citation

Huijzer et al., (2023). SIRUS.jl: Interpretable Machine Learning via Rule Extraction. Journal of Open Source Software, 8(90), 5786, https://doi.org/10.21105/joss.05786

@article{Huijzer2023, doi = {10.21105/joss.05786}, url = {https://doi.org/10.21105/joss.05786}, year = {2023}, publisher = {The Open Journal}, volume = {8}, number = {90}, pages = {5786}, author = {Rik Huijzer and Frank Blaauw and Ruud J.R. den Hartigh}, title = {SIRUS.jl: Interpretable Machine Learning via Rule Extraction}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066