Tag: Machine learning

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

Researchers have combined machine learning and Bayesian inference to reconstruct incomplete records and derive more physically consistent seismic fragility curves ...

A machine learning study of all Indian states and Union Territories finds that avoided grid-electricity spending, not subsidies, most strongly ...

A new review in Food Science & Nutrition details how machine learning, computer vision, sensors, blockchain, and natural language processing ...

Researchers have developed a two-level evaluation framework showing that synthetic vertebrae which score highly on geometric similarity can still fail ...

A new adversarial training method called MI-MKGC dynamically balances text, image, and structural information to predict missing facts in multimodal ...

Researchers in China built a LightGBM-based prediction model that identifies which patients with proliferative diabetic retinopathy are likely to have ...

A scoping review of 94 studies published between 2003 and 2023 finds that African climate vulnerability assessments remain dominated by ...

A new graph convolution Transformer framework with self-distillation improves multi-view graph clustering by suppressing cross-view noise and exploiting complementary information ...

Researchers have developed CLATS, a closed-loop adaptive triage framework that continuously optimizes clinical deterioration alert thresholds while balancing sensitivity against ...