A Comparison of Machine Learning Techniques for the Detection of Type-4 PhotoParoxysmal Responses in Electroencephalographic Signals

  1. Martins, F.M.
  2. González, V.M.
  3. García, B.
  4. Álvarez, V.
  5. Villar, J.R.
Book Series:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ISSN: 1611-3349,  0302-9743

ISBN: 9783031154706

Year of publication: 2022

Volume: 13469 LNAI

Pages: 3-13

Type: Conference paper

DOI: 10.1007/978-3-031-15471-3_1 GOOGLE SCHOLAR

Sustainable development goals

Data source: Scopus