S2C‐HAR: A Semi‐Supervised Human Activity Recognition Framework Based on Contrastive Learning

Documenti analoghi

• SCGIN‐ID: A Self‐Supervised Contrastive Learning Framework For Graph‐Based Network Intrusion Detection
  di: Mingyan Li, et al.
  Pubblicazione: (2025)
• Analysis and Fuzzy Neural Networks‐Based Inertia Coefficient Adjustment Strategy of Power Converters
  di: Xing Dongfeng, et al.
  Pubblicazione: (2024)
• BPMGLAM : A Predictive Business Process Monitoring Framework Based on Graph Contrastive Learning and Attention Mechanisms
  di: Xinsheng Fang, et al.
  Pubblicazione: (2025)
• HRCUNet: Hierarchical Region Contrastive Learning for Segmentation of Breast Tumors in DCE‐MRI
  di: Jiezhou He, et al.
  Pubblicazione: (2024)
• EEG‐Based Epilepsy Recognition via Federated Learning With Differential Privacy
  di: Yuling Luo, et al.
  Pubblicazione: (2025)