A simulation study indicates that partial proportional odds and logistic regression models deliver unbiased estimates when ordinal trial outcomes violate ...
A new diffusion-based framework extracts transferable preference patterns from historical user data to improve recommendations for users with almost no ...
A supervised neural network called SuRe outperforms established methods at inferring mutational signature exposures from sparse cancer sequencing data, including ...
A physics-informed neural network called TrajectoryFlowNet predicts spatiotemporal flow fields and long-range particle trajectories from sparse measurements, validated on numerical ...
A hybrid AI recommendation system that combines specialized expert routing with neural modeling of reading behavior reached 81.23% recall for ...
Researchers at North Carolina State University have developed S-DEIM, a method that reconstructs global sea surface temperatures from sparse observations ...
A new study shows that fusing browsing, clicking, carting and purchasing signals into a shared temporal representation space improves recommendation ...
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