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Machine Learning-Based Multi-Class Classification of Physiological Signals from WESAD Dataset for Stress and Affective State Detection

Tuba Irmak

International Conference on Optimization and Data Science in Industrial Engineering (ODSIE25) ss. 257–264 · İstanbul · 20.11.2025–22.11.2025 · 20.11.2025

Atıf için künye

Irmak, T. (2025). Machine Learning-Based Multi-Class Classification of Physiological Signals from WESAD Dataset for Stress and Affective State Detection. International Conference on Optimization and Data Science in Industrial Engineering (ODSIE25), İstanbul (ss. 257–264).

BibTeX
@inproceedings{irmak2025-195776,
  author = {Irmak, Tuba},
  title = {Machine Learning-Based Multi-Class Classification of Physiological Signals from WESAD Dataset for Stress and Affective State Detection},
  booktitle = {International Conference on Optimization and Data Science in Industrial Engineering (ODSIE25)},
  address = {İstanbul},
  year = {2025},
  pages = {257--264},
  url = {https://akademik.atauni.edu.tr/yayinlar/195776-machine-learning-based-multi-class-classification-of-physiological-signals-from}
}