Provides the paper and excel sheet that are published at https://ucai-sig.org/events/ucai20/
Rauschenberger, M., & Baeza-Yates, R. (2020). Recommendations to Handle Health-related Small Imbalanced Data in Machine Learning. Proceedings of the Mensch Und Computer 2020 Workshop on “Workshop on User- Centered Artificial Intelligence (UCAI 2020),” 1–7. https://doi.org/10.18420/muc2020-ws111-333
@inproceedings{Rauschenberger2020, address = {Magdeburg}, annote = {Supplements: https://github.com/Rauschii/smalldataguidelines}, author = {Rauschenberger, Maria and Baeza-Yates, Ricardo}, booktitle = {Proceedings of the Mensch und Computer 2020 Workshop on 'Workshop on User- Centered Artificial Intelligence (UCAI 2020)'}, doi = {10.18420/muc2020-ws111-333}, pages = {1--7}, title = {{Recommendations to Handle Health-related Small Imbalanced Data in Machine Learning}}, year = {2020} }