Robustness and reproducibility for AI learning in biomedical sciences: RENOIR
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 generalisation of findings, undermin...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Nature Research
2024
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