EEG Signal Analysis for the Classification of Alzheimer's and Frontotemporal Dementia: A Novel Approach Using Artificial Neural Networks and Cross-Entropy Techniques.

Latifoğlu F., Orhanbulucu F., Murugappan M., Gürbüz S. N., Çayır B., Avcı F. Z.

The International journal of neuroscience, vol.136, no.3, pp.286-299, 2026 (SCI-Expanded, Scopus) identifier identifier

  • Publication Type: Article / Article
  • Volume: 136 Issue: 3
  • Publication Date: 2026
  • Doi Number: 10.1080/00207454.2025.2529301
  • Journal Name: The International journal of neuroscience
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, EMBASE, Psycinfo
  • Page Numbers: pp.286-299
  • Keywords: Alzheimer’s disease, artificial neural network, Electroencephalography, frontotemporal dementia, fused cross entropy
  • Inonu University Affiliated: Yes