Tag: Machine Learning

A new recommendation framework called BLMRec models the temporal validity of browsing, favoriting, and add-to-cart behaviors to improve purchase ranking ...

A new hybrid framework combining a Variational Autoencoder with Proximal Policy Optimization reinforcement learning generates melodies with measurably improved tonal ...

An integrative study links the tire-derived pollutants 6PPD and 6PPD-quinone to molecular signatures and increased susceptibility of atrial fibrillation through ...

A machine learning analysis of over ten million English adults shows the top one percent of patients by cost account ...

Researchers in Zhengzhou have built a graph neural network that encodes the measured noise of superconducting quantum processors to correct ...

A multimodal deep learning model that combines panoramic dental X-rays with structured patient metadata significantly outperforms image-only or metadata-only approaches ...

A decade-long analysis of nearly 5,000 Australian borrowers finds that local financial crime rates, income and housing costs predict personal ...

Researchers built an occlusion-aware machine learning framework that predicts annual building-integrated photovoltaic facade yield across 62 cities and four climate ...

A new deep learning architecture called Hessian Interatomic Potentials predicts the full molecular Hessian directly, delivering one to two orders ...

A systematic review of machine-learning models for diabetic-foot osteomyelitis finds strikingly high reported accuracy but warns that almost no models ...

Researchers have unveiled SENNA, a framework that combines disentangled semantic representations with large language models to generate synthetic tabular data ...

New experiments show that low-quality activity labels devastate process discovery and next-activity prediction while leaving conformance checking and time predictions ...

Chinese researchers developed an interpretable logistic regression model that identifies metabolic dysfunction-associated steatotic liver disease in middle-aged and older adults ...

Researchers show that temporally correlated input noise, not model capacity, drives unstable long-horizon forecasts, and introduce NoDE, a lightweight embedding ...

Researchers have shown that a machine learning model trained on casting data, guided by chromium and nickel equivalents, can accurately ...

A study of fifteen local European plum varieties from Türkiye's Black Sea region documents wide variation in fruit traits and ...

Researchers have enhanced a rime-ice-inspired optimization algorithm with four adaptive strategies, achieving superior benchmark results and 95.52 percent accuracy in ...

Researchers have embedded sensors directly into toothbrush bristles and paired them with a dual-stream AI system that recognizes brushing patterns ...

Researchers have developed an unsupervised domain adaptation method that lets dialogue summarization models learn from annotated news data and bridge ...

Researchers have built a hybrid machine learning framework that predicts how graphene-enhanced grease heats up, wears down, and transitions between ...