MCCE: Monte Carlo sampling of valid and realistic counterfactual explanations for tabular data

Annabelle Redelmeier, Martin Jullum, Kjersti Aas, Anders Løland

Open source

DOI: 10.1007/s10618-024-01017-y
Published: 2024-03-22
Container: Data Mining and Knowledge Discovery
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s10618-024-01017-y,
  title = {MCCE: Monte Carlo sampling of valid and realistic counterfactual explanations for tabular data},
  author = {Annabelle Redelmeier and Martin Jullum and Kjersti Aas and Anders Løland},
  year = {2024},
  journal = {Data Mining and Knowledge Discovery},
  doi = {10.1007/s10618-024-01017-y},
  url = {https://doi.org/10.1007/s10618-024-01017-y}
}

RIS

TY  - JOUR
TI  - MCCE: Monte Carlo sampling of valid and realistic counterfactual explanations for tabular data
AU  - Annabelle Redelmeier
AU  - Martin Jullum
AU  - Kjersti Aas
AU  - Anders Løland
PY  - 2024
JO  - Data Mining and Knowledge Discovery
DO  - 10.1007/s10618-024-01017-y
UR  - https://doi.org/10.1007/s10618-024-01017-y
ER  -

APA

Redelmeier, A., Jullum, M., Aas, K., & Løland, A. (2024). MCCE: Monte Carlo sampling of valid and realistic counterfactual explanations for tabular data. Data Mining and Knowledge Discovery. https://doi.org/10.1007/s10618-024-01017-y

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crossref · retrieved 2026-09-25T22:15:34.501Z