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Digital Health Sensor Data in Autism: Developing Few Shot Learning Approaches for Traditional Machine Learning Classifiers

  • Casey C. Bennett
  • , Cedomir Stanojevic
  • , Jiyeong Oh
  • , Junyeong Ahn
  • , Yeeun Jeon
  • , Kanghee Son
  • , Nikki Abbott
  • Clemson University
  • Hanyang University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication2024 IEEE 20th International Conference on Body Sensor Networks, BSN 2024 - Proceedings
PublisherIEEE (Institute of Electrical and Electronics Engineers)
ISBN (Electronic)9798331530143
DOIs
StatePublished - 2024
Event20th IEEE International Conference on Body Sensor Networks, BSN 2024 - Chicago, United States
Duration: Oct 15 2024Oct 17 2024

Publication series

Name2024 IEEE 20th International Conference on Body Sensor Networks, BSN 2024 - Proceedings

Conference

Conference20th IEEE International Conference on Body Sensor Networks, BSN 2024
Country/TerritoryUnited States
CityChicago
Period10/15/2410/17/24

ASJC Scopus Subject Areas

  • Computer Networks and Communications
  • Biomedical Engineering
  • Health Informatics
  • Instrumentation

Keywords

  • Autism
  • Deep Learning
  • Few Shot Learning
  • Machine Learning
  • Sensor Data
  • SMOTE

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