Researchers have developed a machine learning framework that models long and short-term music preferences, decomposes sparse heterogeneous traffic data, and ...
Researchers have developed ReliFuse, a machine learning framework that fuses cached predictions from multiple segmentation experts to segment lung vessels ...
A new review maps the machine learning methods that allow multi-omics models to predict clinical outcomes even when entire layers ...
Researchers used OCO-2 satellite data and a LightGBM machine learning model to build the first daily, high-resolution global maps of ...
Researchers have developed a machine learning framework that fuses satellite data with agricultural statistics to estimate global crop yields months ...
An international team proposes the RHEM framework to make AI-infused hybrid Earth system models transparent, trustworthy and reproducible.
Researchers in Toronto fine-tuned the Segment Anything Model to automatically segment footwear outsoles, using the resulting contact areas to predict ...
A new review in the International Journal of Legal Medicine details how the eye's vitreous humor, shielded by the blood-retinal ...
A new commentary in Pediatric Research argues that artificial intelligence could enable earlier, more reliable, and multidimensional detection of pulmonary ...
A new global classification of more than 80,000 catchments reveals that complex rainfall–runoff behavior is the planetary norm, especially in ...
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