Robustness and reproducibility for AI learning in biomedical sciences: RENOIR
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DOI: 10.1038/s41598-024-51381-4
Abstract: Artificial intelligence (AI) techniques are increasingly applied across various domains, favoured by the growing acquisition and public availability of large, complex datasets. Despite this trend, AI publications often suffer from lack of reproducibility and poor… read more here.
Keywords: learning biomedical; reproducibility learning; robustness reproducibility; biomedical sciences ... See more keywords