Tag: SHAP

Researchers combined machine learning and deep learning with multiple molecular fingerprints to build predictive models that identified two promising topoisomerase ...

A comparative study of more than 33,000 typhoon-triggered shallow landslides reveals that semi-humid northern China and humid southern China fail ...

Researchers report an explainable dual-path attention convolution network that classifies emotions in speech with 98.6% accuracy on the RAVDESS benchmark ...

Researchers have developed an explainable multimodal machine-learning model that predicts with over 81 percent accuracy whether people with mild cognitive ...

A new systematic review shows that machine learning, particularly tree-based ensembles and Random Survival Forests, can reliably predict water pipeline ...

A retrospective study of 473 patients shows that admission D-dimer levels combined with CT-measured total bleeding volume and interpretable machine ...

Researchers trained machine learning models on satellite oceanographic data to accurately predict microplastic abundance across the Indian Ocean.

A survey-weighted explainable machine-learning analysis of PISA 2018 data from 74,235 students in ten education systems shows that books at ...

Researchers combined Bayesian optimization, machine learning and explainable AI to identify silver-cobalt bimetallic nanoparticles that reduce nearly all p-nitrophenol in ...

Researchers in Türkiye used a hybrid stacking ensemble model and real distribution grid data to forecast hourly electric vehicle charging ...