Self-Supervised Learning and Opportunistic Inference for Continuous Monitoring of Freezing of Gait in Parkinson's Disease

Documenti analoghi

• Wearable-Based Real-time Freezing of Gait Detection in Parkinson's Disease Using Self-Supervised Learning
  di: Soumma, Shovito Barua, et al.
  Pubblicazione: (2024)
• RealAC: A Domain-Agnostic Framework for Realistic and Actionable Counterfactual Explanations
  di: Arefeen, Asiful, et al.
  Pubblicazione: (2025)
• Enhancing Metabolic Syndrome Prediction with Hybrid Data Balancing and Counterfactuals
  di: Shah, Sanyam Paresh, et al.
  Pubblicazione: (2025)
• GlyRAG: Context-Aware Retrieval-Augmented Framework for Blood Glucose Forecasting
  di: Soumma, Shovito Barua, et al.
  Pubblicazione: (2026)
• Freezing of Gait Detection Using Gramian Angular Fields and Federated Learning from Wearable Sensors
  di: Soumma, Shovito Barua, et al.
  Pubblicazione: (2024)