Machine Learning for Stress Monitoring from Wearable Devices: A Systematic Literature Review. - Gideon Vos; Kelly Trinh; Zoltan Sarnyai; Mostafa Rahimi Azghadi (CoRR, 2022)

Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review. - Gideon Vos; Kelly Trinh; Zoltan Sarnyai; Mostafa Rahimi Azghadi (Int. J. Medical Informatics, 2023)

Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices. - Gideon Vos; Kelly Trinh; Zoltan Sarnyai; Mostafa Rahimi Azghadi (J. Biomed. Informatics, 2023)

The Effect of Acute Stress on the Interpretability and Generalization of Schizophrenia Predictive Machine Learning Models. - Gideon Vos; Maryam Ebrahimpour; Liza van Eijk; Zoltan Sarnyai; Mostafa Rahimi Azghadi (CoRR, 2024)

Stabilizing machine learning for reproducible and explainable results: A novel validation approach to subject-specific insights. - Gideon Vos; Liza van Eijk; Zoltan Sarnyai; Mostafa Rahimi Azghadi (Comput. Methods Programs Biomed., 2025)

Stress monitoring using low-cost electroencephalogram devices: A systematic literature review. - Gideon Vos; Maryam Ebrahimpour; Liza van Eijk; Zoltan Sarnyai; Mostafa Rahimi Azghadi (Int. J. Medical Informatics, 2025)

A Statistical Approach for Synthetic EEG Data Generation. - Gideon Vos; Maryam Ebrahimpour; Liza van Eijk; Zoltan Sarnyai; Mostafa Rahimi Azghadi (CoRR, 2025)

Synaptic Pruning: A Biological Inspiration for Deep Learning Regularization. - Gideon Vos; Liza van Eijk; Zoltan Sarnyai; Mostafa Rahimi Azghadi (CoRR, 2025)

Decoding Neural Emotion Patterns through Natural Language Processing Embeddings. - Gideon Vos; Maryam Ebrahimpour; Liza van Eijk; Zoltan Sarnyai; Mostafa Rahimi Azghadi (CoRR, 2025)