| Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review G Vos, K Trinh, Z Sarnyai, MR Azghadi International Journal of Medical Informatics 173, 105026, 2023 | 66 | 2023 |
| Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices G Vos, K Trinh, Z Sarnyai, MR Azghadi Journal of Biomedical Informatics 148, 104556, 2023 | 29 | 2023 |
| The effects of ketogenic metabolic therapy on mental health and metabolic outcomes in schizophrenia and bipolar disorder: a randomized controlled clinical trial protocol C Longhitano, S Finlay, I Peachey, JL Swift, F Fayet-Moore, T Bartle, ... Frontiers in Nutrition 11, 1444483, 2024 | 7 | 2024 |
| Machine learning for stress monitoring from wearable devices: a systematic literature review G Vos, K Trinh, Z Sarnyai, MR Azghadi arXiv preprint arXiv:2209.15137, 2022 | 6 | 2022 |
| Stress Monitoring Using Low-Cost Electroencephalogram Devices: A Systematic Literature Review G Vos, M Ebrahimpour, L van Eijk, Z Sarnyai, MR Azghadi arXiv preprint arXiv:2403.05577, 2024 | 1 | 2024 |
| Stabilizing Machine Learning for Reproducible and Explainable Results: A Novel Validation Approach to Subject-Specific Insights G Vos, L van Eijk, Z Sarnyai, MR Azghadi arXiv preprint arXiv:2412.16199, 2024 | | 2024 |
| The Effect of Acute Stress on the Interpretability and Generalization of Schizophrenia Predictive Machine Learning Models G Vos, M Ebrahimpour, L van Eijk, Z Sarnyai, MR Azghadi arXiv preprint arXiv:2410.19739, 2024 | | 2024 |
Zoltán SarnyaiProfessor and Head, Laboratory of Psychiatric Neuroscience,, James Cook UniversityVerified email at jcu.edu.au