Multi-Task AI Matches Separate Models in Breast Ultrasound Analysis
A single attention-gated multi-task network achieved classification and segmentation accuracy comparable to separate dedicated models on breast ultrasound images while ...
A single attention-gated multi-task network achieved classification and segmentation accuracy comparable to separate dedicated models on breast ultrasound images while ...
A unified taxonomy of long-term forecasting models shows that channel-independent designs excel on simple benchmarks while channel-dependent designs gain an ...
A new parametric multistate survival model jointly handles shared frailty and double censoring, showing better accuracy in simulations and an ...
A new survey in Artificial Intelligence Review proposes a unified framework linking hybrid forecasting, explainable AI and multi-agent optimization for ...
Researchers at the China Spallation Neutron Source report RZera 3.0, a unified modular platform that streamlines neutron scattering data reduction ...
A new framework called CT-IDR combines recency-aware preference encoding, signed social influence propagation, and causal debiasing to improve both accuracy ...
UAC-Net combined contextual attention and multi-scale feature fusion in a shared neural network that classified three brain-tumor types and delineated ...
Bixano and Matos extend the Ernst potential formalism to Einstein-Maxwell gravity coupled to dilatonic or phantom scalar fields, deriving a ...
A car that can read every stop sign on the road and simultaneously watch for the truck barreling toward it ...
A series of eleven experiments shows that the human mind represents complexity as a single, domain-general quantity that transfers automatically ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine