Deep neural networks for rank-consistent ordinal regression based on conditional probabilities

Xintong Shi, Wenzhi Cao, Sebastian Raschka

Open source

DOI: 10.1007/s10044-023-01181-9
Published: 2023-06-27
Container: Pattern Analysis and Applications
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s10044-023-01181-9,
  title = {Deep neural networks for rank-consistent ordinal regression based on conditional probabilities},
  author = {Xintong Shi and Wenzhi Cao and Sebastian Raschka},
  year = {2023},
  journal = {Pattern Analysis and Applications},
  doi = {10.1007/s10044-023-01181-9},
  url = {https://doi.org/10.1007/s10044-023-01181-9}
}

RIS

TY  - JOUR
TI  - Deep neural networks for rank-consistent ordinal regression based on conditional probabilities
AU  - Xintong Shi
AU  - Wenzhi Cao
AU  - Sebastian Raschka
PY  - 2023
JO  - Pattern Analysis and Applications
DO  - 10.1007/s10044-023-01181-9
UR  - https://doi.org/10.1007/s10044-023-01181-9
ER  -

APA

Shi, X., Cao, W., & Raschka, S. (2023). Deep neural networks for rank-consistent ordinal regression based on conditional probabilities. Pattern Analysis and Applications. https://doi.org/10.1007/s10044-023-01181-9

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crossref · retrieved 2026-09-25T03:31:39.417Z