| Sleep apnea event detection from nasal airflow using convolutional neural networks R Haidar, I Koprinska, B Jeffries Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 71 | 2017 |
| Detecting hypopnea and obstructive apnea events using convolutional neural networks on wavelet spectrograms of nasal airflow S McCloskey, R Haidar, I Koprinska, B Jeffries Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018 | 53 | 2018 |
| Convolutional neural networks on multiple respiratory channels to detect hypopnea and obstructive apnea events R Haidar, S McCloskey, I Koprinska, B Jeffries 2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018 | 48 | 2018 |
| Sleep apnea event prediction using convolutional neural networks and Markov chains R Haidar, I Koprinska, B Jeffries 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 18 | 2020 |
| A Swarm based Optimization of the XGBoost Parameters. A Haidar, BK Verma, R Haidar Aust. J. Intell. Inf. Process. Syst. 16 (4), 74-81, 2019 | 7 | 2019 |
| Feature learning and data compression of biosignals using convolutional autoencoders for sleep apnea detection R Haidar, I Koprinska, B Jeffries Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019 | 4 | 2019 |
| Deep Learning for Sleep Apnea Detection and Prediction R Haidar | | 2021 |
