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 ...
According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
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