IEEE

Dynamic Classification: Leveraging Self-Supervised Classification to Enhance Prediction Performance

Abstract: In this study, we propose an innovative dynamic classification algorithm aimed at achieving zero missed detections and minimal false positives, critical in safety-critical domains (e.g., ...
IEEE

Essential Hierarchical Information That Warrants Attention: A Semi-Supervised Hyperspectral Hierarchical Classification Network

Abstract: The hierarchical classification method can utilize the hierarchical structure to achieve fine classification from coarse-grained to fine-grained. Hierarchical classification has demonstrated ...
Nature

Classification and taxonomy articles from across Nature Portfolio

This Genome Watch discusses the great biosynthetic capacity that has been identified in marine environmental and host-associated microbiomes, along with approaches to facilitate research into these ...
Investopedia

NAICS Explained: Streamlining Business Classification in North America

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
GitHub

SimpleSleepNet: Self-Supervised Contrastive Learning for EEG-Based Sleep Stage Classification

SimpleSleepNet is a lightweight self-supervised deep-learning framework for EEG-based sleep stage classification using self-supervised contrastive representation learning, achieving 80%+ accuracy with ...