Tag: classification accuracy

Researchers have developed a dual centroid intuitionistic fuzzy twin kernel ridge regression classifier that solves linear equations to attain 93.92 ...

A pre-retrieval classification architecture reduces multimodal pipeline latency by 44.85 percent by screening queries before executing visual index searches.

Computer scientists have developed an ensemble machine learning framework combining Boruta feature selection and XGBoost that achieves 98.78 percent accuracy ...

A machine learning study evaluating UCI breast tumor data demonstrated that the XGBoost model achieved 97.3 percent accuracy, with SHAP ...

A deep learning pipeline combining cine magnetic resonance imaging and scar size accurately differentiated hypertrophic cardiomyopathy from hypertensive heart disease ...

A bio-inspired hybrid optimization algorithm incorporating White Shark Optimizer mechanics and quadratic interpolation into the Remora Optimization Algorithm enhances Support ...

A retrospective machine learning study of 155 patients identified three distinct Guillain-Barré syndrome subtypes with differing recovery trajectories after plasmapheresis.

A study reveals that artificial data balancing techniques distort probabilistic crash risk predictions and heavily overestimate traffic fatality hazards in ...

A combined local search and genetic algorithm improved cancer classification accuracy and reduced computational complexity across more than 30,000 patient ...

A new adaptive neural network framework achieves 98.53% accuracy in classifying multistage diabetic retinopathy using enhanced edge detection and adaptive ...