Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...
According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...
A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
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