Tag: LightGBM

A two-step machine learning framework trained on more than 23,000 clinical records from Indian newborn units identified 84.9 percent of ...

A new computational framework enables autonomous drones to identify driver behavior styles, quantify air-ground collision risk in real time, and ...

Turkish researchers tested fifteen machine learning models to predict chemotherapy response in metastatic colorectal cancer, finding that a tuned LightGBM ...

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

Researchers converted millions of LendingClub loan records into structure-aware grayscale images and showed that a hybrid convolutional neural network and ...

Researchers used explainable machine learning to predict and interpret the compressive strength of sustainable SCM-based concrete, finding LightGBM the most ...

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

A benchmarking study in BMC Infectious Diseases shows that data balancing, feature selection, and hyperparameter tuning make machine learning models ...

Researchers at Erciyes University show that interpretable machine learning with a reduced set of critical building parameters can predict the ...

A machine learning framework trained on more than 13,000 granite samples classifies tectonic settings with 91 percent accuracy while SHAP ...