Tag: Machine learning

Researchers at The Ohio State University used Google's Teachable Machine to build an image-based classifier that may help distinguish true ...

A new lightweight deep learning model called BOA-LSTM combines Bayesian optimization and attention mechanisms to deliver faster and more accurate ...

Researchers have developed 3CPO, a Poisson-based clustering algorithm that groups count data accurately while automatically identifying which columns of a ...

Researchers have built a machine learning model that detects major depressive disorder by mining higher-order transition rules in EEG microstate ...

Researchers developed a random forest model integrating six clinical, inflammatory and molecular predictors that forecasts immunotherapy response in advanced lung ...

A Stanford-led team trained supervised machine learning models on nationally representative EHR-like survey data to identify people with untreated alcohol, ...

A new survey in Machine Learning provides an extensive taxonomy of attention mechanisms and more than thirty Transformer variants that ...

A major new review in BMC Medicine argues that AI tools for early dementia diagnosis are failing in clinical practice ...

A machine learning method called dicast, trained on a manually curated multi-technology ground truth, detects structural variants from short-read sequencing ...

Researchers have developed a physics-informed Kolmogorov–Arnold network that localizes multiple tunnel fire sources within about one meter and reconstructs the ...