Quantifying the separability of data classes in neural networks

Achim Schilling, Andreas Maier, Richard Gerum, Claus Metzner, Patrick Krauss. Quantifying the separability of data classes in neural networks. Neural Networks, 139:278-293, 2021. [doi]

@article{SchillingMGMK21,
  title = {Quantifying the separability of data classes in neural networks},
  author = {Achim Schilling and Andreas Maier and Richard Gerum and Claus Metzner and Patrick Krauss},
  year = {2021},
  doi = {10.1016/j.neunet.2021.03.035},
  url = {https://doi.org/10.1016/j.neunet.2021.03.035},
  researchr = {https://researchr.org/publication/SchillingMGMK21},
  cites = {0},
  citedby = {0},
  journal = {Neural Networks},
  volume = {139},
  pages = {278-293},
}