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,...

Researchers in Shanghai have developed a multi-task deep learning model that estimates the age of rib fractures on chest CT...

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

Researchers have developed an explainable deep learning framework that combines Monte Carlo dropout uncertainty, firefly optimization, and SHAP interpretability to...

Researchers have developed RL-Axial, a segmentation framework that uses reinforcement learning to decide for each image patch whether to apply...

A new study of 100,000 tweets shows that LLaMA 3.2 refuses about 10 percent of paraphrasing requests, enforcing a narrow,...

Researchers at the University of Jena have developed an AI method called '2-step' that predicts liquid chromatography retention times for...

A new study in Neural Computing and Applications compares five deep learning models for tomato disease detection, finding that the...

Researchers from Democritus University of Thrace propose DDMnet, a lightweight depthwise separable network integrated with Mask2Former, achieving near state-of-the-art instance...