Tag: Machine learning

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 ...

A two-year Indian field study shows a random forest model can predict rice grain yield with over 96 percent accuracy ...

Researchers have developed ADLM-TiM, a hybrid deep learning and Transformer model that detects advanced persistent threats in highly imbalanced network ...

A UMass Amherst-led team has developed a wrist-worn accelerometer and machine-learning algorithm that continuously tracks upper-limb motor impairment after stroke ...