Tag: Machine learning

Brazilian researchers used machine learning and Shapley values to predict which non-native plants in the Caatinga dry forest will become ...

Researchers have identified a mathematical probability ceiling in ordinal machine learning models that can silently suppress rare blood cell stages, ...

A machine learning benchmark of 350 Malaysian IPOs finds that a regularized linear support vector model outperforms complex ensembles and ...

A new survey argues that in 6G networks, machine learning must contend with its own feedback loops, non-stationary data, and ...

A new two-stage algorithm called DeisoLAB uses fuzzy logic and the spatial distribution of peptides across tissue sections to identify ...

Researchers have developed CCOT, a condition-controlled optimal transport framework that predicts single-cell responses to drug perturbations, including to compounds never ...

A controlled study of synthetic identity fraud detection shows that rule-anchored heterogeneous graph models win through complete identity relation structure ...

A machine-learning model built on seven genes tied to mitochondrial outer membrane permeabilization stratifies lung adenocarcinoma patients into distinct survival ...

A new study shows that a low-cost 3D multispectral sensor combined with machine learning can classify rice bacterial blight severity ...

By integrating single-cell and bulk RNA sequencing with machine learning and laboratory validation, researchers have identified MAP1LC3B and HSD17B10 as ...