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

Oct-9-2025, 04:43:14 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.

artificial intelligence, machine learning, natural language, (19 more...)

Neural Information Processing Systems

Oct-9-2025, 04:43:14 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 (1.00)

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

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