A dual-perspective explainable artificial intelligence framework couples semantic clustering with graph classification to eliminate data inconsistencies, boosting cancer text classification ...
Researchers found that artificial intelligence algorithms predicting deep vein thrombosis produced widely conflicting probability estimates for individual patients despite showing ...
Researchers combined hyperspectral imaging with explainable machine learning to accurately identify authentic Rubia cordifolia medicinal roots and trace their geographical ...
A comparative evaluation of Quantum Support Vector Machines demonstrates an eight percent average recall gain over classical algorithms in lung ...
Computer scientists have developed an intelligent undersampling framework that combines density-aware boundary selection with weighted ensemble learning to significantly improve ...
Researchers demonstrated that visible and near-infrared hyperspectral imaging combined with artificial neural networks classifies ethanol concentrations in biodiesel-ethanol-diesel fuel blends ...
A systematic review of mortgage-lending fairness research finds decision trees offer the most interpretable bias detection while neural networks and ...
A new study reports that Random Forest and Gaussian and Sigmoid kernel Support Vector Machines, combined with systematic preprocessing, achieved ...
A machine learning study using the ISBSG software project repository found that models trained on larger datasets containing low-quality records ...
A calibration-driven facial landmark system aboard an autonomous electric shuttle distinguished five driver behavioral states with interpretable machine learning, reaching ...
A comparative study found that Kolmogorov–Arnold Network surrogates closely reproduced LPA perfectionism-profile assignments in 1,385 Turkish adolescents, with EfficientKAN offering ...
A new commentary argues that the accuracy of automated pediatric heart murmur detection depends less on machine learning classifiers than ...
A new study shows that machine learning models, particularly Support Vector Machines, predict the shear strength of recycled aggregate concrete ...
A recent study has emerged in the realm of medical technology, focusing on an innovative approach to heart failure detection. ...
