XAI–reduct: accuracy preservation despite dimensionality reduction for heart disease classification using explainable AI
- DOI
- 10.1007/s11227-023-05356-3
- Published
- 2023-05-12
- Container
- The Journal of Supercomputing
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s11227-023-05356-3,
title = {XAI–reduct: accuracy preservation despite dimensionality reduction for heart disease classification using explainable AI},
author = {Surajit Das and Mahamuda Sultana and Suman Bhattacharya and Diganta Sengupta and Debashis De},
year = {2023},
journal = {The Journal of Supercomputing},
doi = {10.1007/s11227-023-05356-3},
url = {https://doi.org/10.1007/s11227-023-05356-3}
}RIS
TY - JOUR TI - XAI–reduct: accuracy preservation despite dimensionality reduction for heart disease classification using explainable AI AU - Surajit Das AU - Mahamuda Sultana AU - Suman Bhattacharya AU - Diganta Sengupta AU - Debashis De PY - 2023 JO - The Journal of Supercomputing DO - 10.1007/s11227-023-05356-3 UR - https://doi.org/10.1007/s11227-023-05356-3 ER -
APA
Das, S., Sultana, M., Bhattacharya, S., Sengupta, D., & De, D. (2023). XAI–reduct: accuracy preservation despite dimensionality reduction for heart disease classification using explainable AI. The Journal of Supercomputing. https://doi.org/10.1007/s11227-023-05356-3
Source records
- crossref · retrieved 2026-09-27T05:58:37.891Z