Test data reuse for evaluation of adaptive machine learning algorithms: over-fitting to a fixed 'test' dataset and a potential solution

Alexej Gossmann, Aria Pezeshk, Berkman Sahiner. Test data reuse for evaluation of adaptive machine learning algorithms: over-fitting to a fixed 'test' dataset and a potential solution. In Robert M. Nishikawa, Frank W. Samuelson, editors, Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment, Houston, Texas, United States, 10-15 February 2018. Volume 10577 of SPIE Proceedings, SPIE, 2018. [doi]

@inproceedings{GossmannPS18,
  title = {Test data reuse for evaluation of adaptive machine learning algorithms: over-fitting to a fixed 'test' dataset and a potential solution},
  author = {Alexej Gossmann and Aria Pezeshk and Berkman Sahiner},
  year = {2018},
  doi = {10.1117/12.2293818},
  url = {https://doi.org/10.1117/12.2293818},
  researchr = {https://researchr.org/publication/GossmannPS18},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2018: Image Perception, Observer Performance, and Technology Assessment, Houston, Texas, United States, 10-15 February 2018},
  editor = {Robert M. Nishikawa and Frank W. Samuelson},
  volume = {10577},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9781510616431},
}