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  1. Domain adaptation and generalization of functional medical data: a systematic survey of brain data
Domain adaptation and generalization of functional medical data: a systematic survey of brain data
42 viewed

Domain adaptation and generalization of functional medical data: a systematic survey of brain data

Sarafraz, G

Domain adaptation and generalization of functional medical data: a systematic survey of brain data

Sarafraz, G ; Sharif University of Technology | 2024

42 Viewed
  1. Type of Document: Article
  2. DOI: 10.1145/3654664
  3. Publisher: 2024
  4. Abstract:
  5. Despite the excellent capabilities of machine learning algorithms, their performance deteriorates when the distribution of test data differs from the distribution of training data. In medical data research, this problem is exacerbated by its connection to human health, expensive equipment, and meticulous setups. Consequently, achieving domain generalizations and domain adaptations under distribution shifts is an essential step in the analysis of medical data. As the first systematic review of domain generalization and domain adaptation on functional brain signals, the article discusses and categorizes various methods, tasks, and datasets in this field. Moreover, it discusses relevant directions for future research. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM
  6. Keywords:
  7. Domain adaptation ; Domain generalization ; Learning algorithms ; Brain data ; Functional medical data ; Generalisation ; Machine learning algorithms ; Medical data ; Performance ; Test data ; Training data ; Machine learning
  8. Source: ACM Computing Surveys ; Volume 56, Issue 10 , 2024 ; 03600300 (ISSN)
  9. URL: https://dl.acm.org/doi/abs/10.1145/3654664