Tag: Machine learning

A large evaluation of the Bethesda v3 DNA methylation classifier shows robust performance in routine brain tumor diagnostics, correctly classifying ...

A new data-fusion study over Taiwan shows that gridded ionospheric TEC provides modest complementary information for retrospective earthquake maximum-magnitude estimation, ...

Researchers at Xidian University have developed GETI-WR, a graph neural network method that estimates worker reliability per task using bias ...

Researchers used Sentinel-2 satellite imagery and machine learning to detect and track persistent water hyacinth infestations in lakes across five ...

A machine learning model combining baseline gut microbiome profiles with clinical variables can predict who sustains weight loss twelve weeks ...

Researchers in Vietnam used machine learning to optimize an epoxy nanocomposite coating that is simultaneously fire-safe, mechanically strong, electrically conductive, ...

A new machine learning framework combines variational autoencoders with actor-critic deep reinforcement learning to sequentially estimate the remaining useful life ...

A systematic review in Artificial Intelligence Review maps six methodological families of time series one-class classification and charts the challenges ...

A new transformer-based framework called THIMDA fuses multi-modal microRNA and disease representations to predict disease associations with high accuracy.

Researchers in Porto have developed a game theory-inspired machine learning framework that gives each transportation mode its own tailored feature ...