Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series

Feb-16-2026, 13:18:17 GMT–Neural Information Processing Systems

However, existing contrastive learning methods primarily focus on one single data level, which fails to fully exploit the intricate nature of medical time series.

data mining, machine learning, natural language, (20 more...)

Neural Information Processing Systems

Feb-16-2026, 13:18:17 GMT

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Country:
- Asia > Myanmar
  - Tanintharyi Region > Dawei (0.04)
- North America > United States
  - North Carolina > Mecklenburg County > Charlotte (0.04)

Genre:
- Research Report > New Finding (0.92)

Industry:
- Health & Medicine
  - Diagnostic Medicine (1.00)
  - Therapeutic Area
    - Cardiology/Vascular Diseases (0.93)
    - Neurology > Alzheimer's Disease (0.46)

Technology:
- Information Technology
  - Artificial Intelligence
    - Machine Learning
      - Neural Networks > Deep Learning (1.00)
      - Statistical Learning (1.00)
    - Natural Language (1.00)
    - Representation & Reasoning (1.00)
  - Data Science > Data Mining (0.93)

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Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series

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