A methodology to rank importance of frequencies and channels in electromyography data with Decision Tree classifiers

Documenti analoghi

• Enhancing mortality prediction in cardiac arrest ICU patients through meta-modeling of structured clinical data from MIMIC-IV
  di: Mamatov, Nursultan, et al.
  Pubblicazione: (2025)
• How Long short-term memory artificial neural network, synthetic data, and fine-tuning improve the classification of raw EEG data
  di: Nasybullin, Albert, et al.
  Pubblicazione: (2026)
• Convolutional Neural Network and Adversarial Autoencoder in EEG images classification
  di: Nasybullin, Albert, et al.
  Pubblicazione: (2026)
• A Reanalysis of the FDA's Benefit--Risk Assessment of Moderna's mRNA-1273 COVID Vaccine Based on a Model Incorporating Benefits Derived from Prior COVID Infection
  di: Bourdon, Paul S., et al.
  Pubblicazione: (2024)
• RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being
  di: Ferdousi, Rahatara, et al.
  Pubblicazione: (2025)