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These dimensions are reproducibility of a conclusion, of a finding, and of a value. Three biomedical natural language processing papers by the authors of this ...
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Context: Reproducibility is a key aspect for validating research results and ensuring high research quality. Objective: To assess the state of research ...
To assess the state of reproducibility in biomedical Natural Language Processing, we analyze the proceedings of the 2016 BioNLP workshop to check for code ...
For publications, this suggests that a paper should be retrievable and analyzable by the semantics of its contents, and not only by search on the words with ...
Jul 23, 2018 · The situation with respect to reproducibility in clinical natural language processing is arguably better than the situation in computer science, ...
These dimensions are reproducibility of a conclusion, of a finding, and of a value. Three biomedical natural language processing papers by the authors of this ...
Robustness and reproducibility for AI learning in biomedical sciences
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Jan 22, 2024 · We present RENOIR (REpeated random sampliNg fOr machIne leaRning), a modular open-source platform for robust and reproducible machine learning (ML) analysis.
Dec 15, 2020 · We identified 40 reproducibility features from 8 selected articles. Frameworks based on WMS match more than 50% of features (26 features for LAPPS Grid, 22 ...
The important difference is that the concept of reproducibility now references a specified way of obtaining a measured quantity value (which can be an ...
Aug 21, 2024 · Reproducibility is crucial in biomedical research, ensuring the validity and reliability of findings. It involves recreating results using ...
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