References

If you use the BOOMER algorithm in a scientific publication, we would appreciate citations to one of the following papers.

Learning Gradient Boosted Multi-label Classification Rules

The algorithm was first published in the following paper. A preprint version is publicly available on arxiv.org.

Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz, Vu-Linh Nguyen and Eyke Hüllermeier. Learning Gradient Boosted Multi-label Classification Rules. In: Proceedings of the European Conference on Machine Learning and Knowledge Discovery (ECML-PKDD), pages 124-140, 2020, Springer.

@inproceedings{rapp2020boomer,
  title={Learning Gradient Boosted Multi-label Classification Rules},
  author={Rapp, Michael and Loza Menc{\'i}a, Eneldo and F{\"u}rnkranz, Johannes and Nguyen, Vu-Linh and H{\"u}llermeier, Eyke},
  booktitle={Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD)},
  pages={124--140},
  year={2020},
  publisher={Springer}
}

Gradient-based Label Binning in Multi-label Classification

Gradient-based label binning (GBLB), which is an extension to the original algorithm, was proposed in the following paper. A preprint version is available on arxiv.org.

Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz and Eyke Hüllermeier. Gradient-based Label Binning in Multi-label Classification. In: Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), pages 462-477, 2021, Springer.

@inproceedings{rapp2021gblb,
  title={Gradient-based Label Binning in Multi-label Classification},
  author={Rapp, Michael and Loza Menc{\'i}a, Eneldo and F{\"u}rnkranz, Johannes and H{\"u}llermeier, Eyke},
  booktitle={Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD)},
  pages={462--477},
  year={2021},
  publisher={Springer}
}

BOOMER – An Algorithm for Learning Gradient Boosted Multi-label Classification Rules

A technical report on the implementation of the BOOMER algorithm was published for open access in the following article.

Michael Rapp. BOOMER – An Algorithm for Learning Gradient Boosted Multi-label Classification Rules. In: Software Impacts, page 100137, 2021, Elsevier.

@article{rapp2021boomer,
  title = {{BOOMER} -- An Algorithm for Learning Gradient Boosted Multi-label Classification Rules},
  author = {Rapp, Michael},
  journal = {Software Impacts},
  volume = {10},
  pages = {100137},
  year = {2021},
  publisher = {Elsevier}
}