How a Hidden Flaw in EEG Machine Learning Inflates Accuracy by 35 Percentage Points
A new study shows that randomly splitting EEG windows between training and test sets inflates diagnostic accuracy by roughly 35 ...
A new study shows that randomly splitting EEG windows between training and test sets inflates diagnostic accuracy by roughly 35 ...
An open-source R package now computes most non-proprietary summary scores for the ABCD Study, replacing fragmented scripts with transparent, reproducible ...
A new Snakemake-based pipeline called OBLX automates the construction of standardized, version-matched genome reference libraries to improve reproducibility in cancer ...
A new open-source graphical application called SpectroElectroChem Suite automates reproducible analysis of spectro-electrochemical and rotating ring-disk electrode data, replacing error-prone ...
Researchers published an AI-drafted tutorial review on characteristic mode analysis for metasurface design and paired it with an explicit citation-verification ...
The UC Davis NAMs Testing Center offers an independent, fit-for-purpose evaluation model for organoids, microphysiological systems and computational tools as ...
An international expert panel has ratified 26 standardised evaluation rules for peptide-target interaction prediction through a three-round eDelphi consensus, aiming ...
A new open-source Python package called ROOFS benchmarks multiple feature selection methods on a researcher's own data, evaluating predictive performance ...
A case-level audit of a public thyroid imaging archive finds contradictory labels, leak-prone data splits, and strong evidence that deep ...
The distinction between computational determinism and temporal stability deserves closer examination, because it explains why the audit's findings should not ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine