Tag: probability calibration

A retinal-image classifier that appeared nearly flawless on its home dataset lost much of its accuracy when tested on images ...

A low-cost EMG-controlled prosthetic arm uses confidence gating and temporal voting to refuse uncertain commands, cutting false movements by 75 ...

A new machine learning framework calibrated with a strict Zero Miss strategy achieved 100 percent detection of major earthquakes in ...

A new risk-calibrated tabular Transformer achieves state-of-the-art Alzheimer's disease staging while calibrating its confidence and abstaining on uncertain cases.

A new framework called VR-FraudNet forces large language models to propose structured fraud explanations that a fixed deterministic verifier must ...

A physics-informed neural network constrained by biomechanical laws achieved near-perfect recall in monitoring muscle fatigue from surface EMG signals across ...

A new leakage-audited benchmark shows that random data splitting inflates toxicity model performance by up to 0.079 AUROC points while ...

A four-year Georgia study found that sophisticated neural networks struggled to beat a simple persistence baseline in forecasting peanut root-zone ...