Tag: SHAP interpretability

A retrospective multicenter study of 1,919 Chinese patients found that a 14-predictor gradient-boosting model achieved an AUC of 0.828 for ...

A new study shows that deep learning models can accurately predict the mechanical strength of biodegradable magnesium alloys while clearly ...

A new closed-loop framework embeds real-time EEG quality assessment inside a Mamba-BiLSTM seizure predictor, gating intervention confidence and outperforming cross-patient ...

A new multimodal AI framework called MEGH-DDI combines chemical language models with graph neural networks to predict drug–drug interactions with ...

Egyptian researchers used Landsat 8 imagery and machine learning to map the bathymetry of Manzala Lagoon with centimeter-level accuracy, identifying ...

A hybrid deep learning framework combining two complementary LSTM models with Bayesian ensemble stacking predicts winter road surface temperature more ...

Researchers in China built a prototypical network-based few-shot learning framework that reproduces expert consensus severity stratification in newly diagnosed Crohn's ...

A new cloud-native machine-learning framework called SIAVASH emulates global flood-hazard data to map design-event flood depth and screen infrastructure weak ...

A new hybrid AI framework combining deep convolutional networks with multi-objective evolutionary optimization achieves 98.5 percent accuracy in assessing vocational ...

Researchers used monotonic neural networks to show that designing residential water systems at the 98th rather than the 99th percentile ...