New AI Architecture Tames Extreme Data Imbalance in Multi-Task Recommendation
Researchers at Keio University have developed H-PLE, a hierarchical multi-task recommendation framework that stabilizes expert routing and improves prediction of ...
Researchers at Keio University have developed H-PLE, a hierarchical multi-task recommendation framework that stabilizes expert routing and improves prediction of ...
A controlled study of synthetic identity fraud detection shows that rule-anchored heterogeneous graph models win through complete identity relation structure ...
A Kazakhstani research team shows that physically structured features and calibrated baselines, not model architecture, drive a tenfold improvement in ...
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© 2025 Scienmag - Science Magazine