Lightweight Transformer exhibits comparable performance to LLMs for Seizure Prediction: A case for light-weight models for EEG data Conference

Parani, Paras, Mohammad, Umair, Saeed, Fahad. (2024). Lightweight Transformer exhibits comparable performance to LLMs for Seizure Prediction: A case for light-weight models for EEG data . 4941-4945. 10.1109/BigData62323.2024.10825319

Open Access

cited authors

  • Parani, Paras; Mohammad, Umair; Saeed, Fahad

authors

date/time interval

  • December 15, 2024 -

publication date

  • January 1, 2024

keywords

  • Computer Science
  • Computer Science, Information Systems
  • Electroencephalography (EEG)
  • Epilepsy
  • Large Language Model (LLM)
  • Science & Technology
  • Seizure Prediction
  • Technology
  • Vision Transformer (ViT)

Location

  • DC, Washington

Digital Object Identifier (DOI)

International Standard Book Number (ISBN) 13

Conference

  • 2024 IEEE International Conference on Big Data

publisher

  • IEEE COMPUTER SOC

start page

  • 4941

end page

  • 4945