Tag: Applied Intelligence

Researchers have developed a multi-granularity contrastive learning framework that automatically discovers new categories of teacher instructional behavior from classroom video, ...

Researchers in China have developed MAF-Net, a multi-scale attention fusion network that achieves a record Dice score of 85.47 percent ...

Researchers in Guangzhou have developed a graph-based multi-view clustering method built on maximin optimization that comes with a theorem guaranteeing ...

Researchers have developed DiffProNet, a framework that applies diffusion-inspired feature-space denoising to prototypical networks, achieving competitive few-shot fine-grained image classification ...

Researchers have introduced PPFP-Growth, a pattern-growth algorithm that, for the first time, quantifies the probability that a pattern is truly ...

Researchers at the University of Stuttgart have built the first formally proven risk-aware hierarchical task network planner, enabling AI agents ...

A new Applied Intelligence study reveals how four types of mathematical concepts in incomplete data tables are structurally connected, enabling ...

Researchers have developed DCM-Net, a dual conditional modulation graph attention network that adapts both its input features and its own ...

Researchers have developed DIRA, a model that combines dynamic entity embeddings with implicit relation-aware self-attention to significantly improve temporal knowledge ...

Researchers at Soongsil University have developed a self-supervised, multi-view defense that detects label-flipping poisoning attacks in tabular machine learning by ...