Tag: gradient boosting

A study of 306 microfluidic liposome formulations found that gradient boosting predicted polydispersity better than one prior benchmark and identified ...

Researchers have built an AI pipeline that digitizes paper-based complete blood count reports with PaddleOCR and uses tuned machine learning ...

A machine learning model trained on more than 12,000 infant screenings uses twelve clinical and demographic variables to identify which ...

A biophysics-informed machine learning framework predicts how effectively antisense oligonucleotides knock down ALS-relevant genes using only a single experimental measurement ...

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

A rigorous cross-validated study of over 300 participants in Gujarat, India, found that manually coded graphological handwriting features failed to ...

A new PLOS One study introduces Layered Stacking, an ensemble imputation method that outperformed five established techniques in simulations and ...

A leakage-aware benchmark of seven models across three educational datasets found that Gradient Boosting outperformed attention-based neural networks, which showed ...

Researchers trained seven machine-learning models on structured ECG reports from more than 11,000 hospitalized children and found that the reports ...

A two-phase study of over 2,500 Jordanian children finds that carefully calibrated simple regression models rival or beat machine-learning approaches ...