Citing scikit-survival

If you are using scikit-survival in your scientific research, please cite the following papers:

1. Pölsterl, S., Navab, N., and Katouzian, A., Fast Training of Support Vector Machines for Survival Analysis. Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2015, Porto, Portugal, Lecture Notes in Computer Science, vol. 9285, pp. 243-259 (2015)

BibTeX entry:

@inproceedings{Poelsterl2015ssvm,
  title = {Fast Training of Support Vector Machines for Survival Analysis},
  author = {P{\"o}lsterl, Sebastian and Navab, Nassir and Katouzian, Amin},
  booktitle = {Machine Learning and Knowledge Discovery in Databases},
  doi = {10.1007/978-3-319-23525-7_15},
  editor = {Appice, Annalisa and Rodrigues, Pedro Pereira and Santos Costa, Vítor and Gama, João and Jorge, Alípio and Soares, Carlos},
  pages = {243--259},
  series = {Lecture Notes in Computer Science},
  year = {2015}
}

2. Pölsterl, S., Navab, N., and Katouzian, A., An Efficient Training Algorithm for Kernel Survival Support Vector Machines. 4th Workshop on Machine Learning in Life Sciences, 23 September 2016, Riva del Garda, Italy

BibTeX entry:

@inproceedings{Poelsterl2016kernelssvm,
  title = {{An Efficient Training Algorithm for Kernel Survival Support Vector Machines}},
  author = {P{\"o}lsterl, Sebastian and Navab, Nassir and Katouzian, Amin},
  booktitle = {3rd Workshop on Machine Learning in Life Sciences},
  url = {https://arxiv.org/abs/1611.07054},
  month = {September},
  year = {2016}
}

3. Pölsterl, S., Gupta, P., Wang, L., Conjeti, S., Katouzian, A., and Navab, N., Heterogeneous ensembles for predicting survival of metastatic, castrate-resistant prostate cancer patients. F1000Research, vol. 5, no. 2676 (2016).

BibTeX entry:

@article{Poelsterl2016ensemble,
  title = {{Heterogeneous Ensembles for Predicting Survival of Metastatic, Castrate-Resistant Prostate Cancer Patients}},
  author = {P{\"o}lsterl, Sebastian and Pankaj, Gupta and Wang, Lichao and Conjeti, Sailesh and Katouzian, Amin and Navab, Nassir},
  doi = {10.12688/f1000research.8231.1},
  journal = {F1000Research},
  month = {November},
  number = {2676},
  volume = {5},
  year = {2016}
}