Tag: Machine learning

Researchers combined the XBeach numerical model with Bayesian Networks trained on thousands of simulated storms to enable rapid, uncertainty-aware coastal ...

Researchers trained machine learning models on Planck's multi-frequency sky maps to predict the Milky Way's diffuse gamma-ray emission with record ...

Researchers have developed AGSL-Gait, a framework that learns adaptive graph structures from skeletal walking data to capture fine-grained joint dependencies, ...

A landmark study of nearly 400,000 waveform judgments shows that expert clinicians are essential for reliable labeling of intracranial pressure ...

Researchers have developed CausalCACTUS, a framework that generates counterfactual explanations for black-box machine learning models which simultaneously respect learned causal ...

Researchers have introduced PLS-ZO, a zeroth-order optimization framework that confines gradient-free perturbations to a low-dimensional latent subspace, dramatically reducing the ...

Researchers in Hyderabad have built a deep learning pipeline that predicts fault-prone software modules with 99.3 percent accuracy in under ...

A new study identifies the frataxin gene FXN as a diagnostic biomarker for primary open-angle glaucoma and shows that the ...

A University of Cagliari study comparing recommendation algorithms across four educational datasets finds that the most accurate course recommenders are ...

An open-source pipeline called GenoBridge automatically adapts machine-learning models to sample size, matching hand-tuned genomic prediction accuracy while delivering calibrated ...