Tag: ensemble learning

Researchers have unveiled Hydra, an interpretable ensemble deep learning framework that jointly performs feature selection and cell type annotation across ...

Researchers in India and Spain show that ensemble machine learning models combined with explainable AI can detect causal relationships in ...

Researchers in Bangladesh have released a 20,000-comment dataset for detecting religious aggression in Bangla and shown that a lexicon-boosted XGBoost ...

Researchers have developed a PSO-optimized stacking ensemble that estimates three-phase inverter voltages sensorlessly with errors below 1.6 percent across a ...

Researchers at Bahir Dar University have built an ensemble lip-reading model for Amharic that combines Gabor filters, Capsule Networks, and ...

The first PRISMA-compliant systematic review of classifier chains maps seventeen years of multi-label learning research, comparing 18 variants, formalizing error ...

Researchers in China have developed CADEE, an online ensemble learning framework that simultaneously handles multi-class imbalance, concept drift, and limited ...

Researchers in China developed an interpretable multi-ensemble machine learning method combining ADASYN oversampling and soft voting that classifies dual-medium tight ...

A new systematic review of 121 studies finds that AI models reading chest X-rays reach 96 to 99 percent accuracy ...

Researchers have built a transfer-learning ensemble framework that predicts end-of-semester student performance from just the first eight practical sessions, even ...