Home ›
Entities
› academia
› Optimizing breast cancer diagnosis: Harnessing the power of nature-inspired metaheuristics for feature selection with soft voting classifiers
Optimizing breast cancer diagnosis: Harnessing the power of nature-inspired metaheuristics for feature selection with soft voting classifiers
Research article (International Journal of Cognitive Computing in Engineering, 2024) · cited 11× · AI/ML
Optimizing breast cancer diagnosis: Harnessing the power of nature-inspired metaheuristics for feature selection with soft voting classifiers
Summary
Optimizing breast cancer diagnosis: Harnessing the power of nature-inspired metaheuristics for feature selection with soft voting classifiers is a scholarly article[1].
Key Facts
Optimizing breast cancer diagnosis: Harnessing the power of nature-inspired metaheuristics for feature selection with soft voting classifiers's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Optimizing breast cancer diagnosis: Harnessing the power of nature-inspired metaheuristics for feature selection with soft voting classifiers. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimizing-breast-cancer-diagnosis-harnessing-the-power-of-nature-inspired-metaheuristics-for-feature-selection-with-sof
MLA“Optimizing breast cancer diagnosis: Harnessing the power of nature-inspired metaheuristics for feature selection with soft voting classifiers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimizing-breast-cancer-diagnosis-harnessing-the-power-of-nature-inspired-metaheuristics-for-feature-selection-with-sof.
BibTeX@misc{4ortxyz_optimizing-breast-cancer-diagnosis-harnessing-the-power-of-nature-inspired-metaheuristics-for-feature-selection-with-sof_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimizing breast cancer diagnosis: Harnessing the power of nature-inspired metaheuristics for feature selection with soft voting classifiers}}, year = {2026}, url = {https://4ort.xyz/entity/optimizing-breast-cancer-diagnosis-harnessing-the-power-of-nature-inspired-metaheuristics-for-feature-selection-with-sof}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimizing breast cancer diagnosis: Harnessing the power of nature-inspired metaheuristics for feature selection with soft voting classifiers — https://4ort.xyz/entity/optimizing-breast-cancer-diagnosis-harnessing-the-power-of-nature-inspired-metaheuristics-for-feature-selection-with-sof (retrieved 2026-05-24)
