Enhancing pancreatic cancer classification through dynamic weighted ensemble: a game theory approach
- DOI
- 10.1080/10255842.2023.2281277
- Published
- 2023-11-20
- Container
- Computer Methods in Biomechanics and Biomedical Engineering
- Publisher
- Informa UK Limited
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1080/10255842.2023.2281277,
title = {Enhancing pancreatic cancer classification through dynamic weighted ensemble: a game theory approach},
author = {Dhanasekaran S. and Silambarasan D. and Vivek Karthick P. and Sudhakar K.},
year = {2023},
journal = {Computer Methods in Biomechanics and Biomedical Engineering},
doi = {10.1080/10255842.2023.2281277},
url = {https://doi.org/10.1080/10255842.2023.2281277}
}RIS
TY - JOUR TI - Enhancing pancreatic cancer classification through dynamic weighted ensemble: a game theory approach AU - Dhanasekaran S. AU - Silambarasan D. AU - Vivek Karthick P. AU - Sudhakar K. PY - 2023 JO - Computer Methods in Biomechanics and Biomedical Engineering DO - 10.1080/10255842.2023.2281277 UR - https://doi.org/10.1080/10255842.2023.2281277 ER -
APA
S., D., D., S., P., V. K., & K., S. (2023). Enhancing pancreatic cancer classification through dynamic weighted ensemble: a game theory approach. Computer Methods in Biomechanics and Biomedical Engineering. https://doi.org/10.1080/10255842.2023.2281277
Source records
- crossref · retrieved 2026-09-26T17:16:27.398Z