Tag: Applied Intelligence

A new framework called ARCHEX uses archetypal analysis to reveal global structural patterns in machine learning models that local explanation ...

Finnish researchers have built an explainable machine learning framework that segments B2B customers, predicts purchases with F1-scores above 0.92, and ...

Researchers have developed FUS-DETR, a transformer-based AI detector that achieves state-of-the-art accuracy in spotting small drones against cluttered backgrounds in ...

Researchers have developed a transition matrix-based framework that identifies the target classes of backdoor attacks in neural networks and sharply ...

Researchers in Chongqing have developed a wavelet-guided deep learning framework that coordinates frequency-domain and spatial cues to sharply localize changes ...

Researchers have developed MLIDSC, a self-adaptive online active learning framework that maintains high accuracy on multiclass imbalanced data streams while ...

Chinese researchers have combined dynamic attribute clustering, TOPSIS and Borda count voting to turn high-dimensional tourist review data into reliable ...

Researchers in China have developed FullReg, a semi-supervised regression framework that weights pseudo-labels by data similarity and stabilizes training with ...

A new three-stage algorithm called FS-GSR combines graph-based scoring with sparse reconstruction to select compact, high-performing feature subsets from high-dimensional ...

A new study shows that large language models can dynamically reallocate portfolio risk across 55 U.S. equities, delivering a 46.4% ...