Bildiri
Tam Metin Bildiri
Uluslararası
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)
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}
}