| EEG-based prediction of driver's cognitive performance by deep convolutional neural network Mehdi Hajinoroozi, Zijing Mao, Tzyy-Ping Jung, Chin-Teng Lin, Yufei Huang Elsevier, Signal Processing Image Communication, 2016 | 219* | 2016 |
| Prediction of driver's drowsy and alert states from EEG signals with deep learning M Hajinoroozi, Z Mao, Y Huang | 90 | 2015 |
| Feature extraction with deep belief networks for driver's cognitive states prediction from EEG data M Hajinoroozi, TP Jung, CT Lin, Y Huang 2015 IEEE China Summit and International Conference on Signal and …, 2015 | 47 | 2015 |
| Driver’s Fatigue Prediction by Deep Covariance Learning from EEG M Hajinoroozi, J Zhang, Y Huang | 34 | 2017 |
| Deep transfer learning for cross-subject and cross-experiment prediction of image rapid serial visual presentation events from EEG data M Hajinoroozi, Z Mao, YP Lin, Y Huang Augmented Cognition. Neurocognition and Machine Learning: 11th International …, 2017 | 32 | 2017 |
| Comparing the quality of signals recorded with a rapid response EEG and conventional clinical EEG systems B Kamousi, AM Grant, B Bachelder, J Yi, M Hajinoroozi, R Woo Clinical Neurophysiology Practice 4, 69-75, 2019 | 31 | 2019 |
| Prediction of fatigue-related driver performance from EEG data by deep Riemannian model M Hajinoroozi, J Zhang, Y Huang | 18 | 2017 |
| Image and audio signal filtration with discrete Heap transforms MH AM Grigoryan Applied Mathematics and Sciences, 2014 | 17 | 2014 |
| Systems and methods for seizure prediction and detection B Kamousi, M Hajinoroozi, S Karunakaran, A Grant, J Yi, R Woo, J Parvizi, ... US Patent 10,743,809, 2020 | 10 | 2020 |
| A novel method of filtration by the discrete heap transforms MH AM Grigoryan IS&T/SPIE, 2014 | 10 | 2014 |
| Machine learning and image processing in astronomy with sparse data sets J Jenkinson, A Grigoryan, M Hajinoroozi, RD Hernández, HP Barreto, ... 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2014 | 9 | 2014 |
| Image enhancement with weighted histogram equalization and heap transforms M Hajinoroozi, A Grigoryan, S Agaian 2016 World Automation Congress (WAC), 1-6, 2016 | 7 | 2016 |
| Prediction of driver's drowsy and alert states from EEG signals with deep learning H Mehdi, Z Mao, Y Huang Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2015 …, 2015 | 4 | 2015 |
| Systems and methods for seizure prediction and detection B Kamousi, M Hajinoroozi, S Karunakaran, AM Grant, J Yi, R Woo, ... US Patent App. 16/923,689, 2021 | 2 | 2021 |
| Deep Transfer learning for Cross-Experiment Prediction of Rapid Serial Visual Presentation Events M Hajinoroozi, Z Mao, Y Huang Sixth International Brain-Computer Interface Meeting: BCI Past, Present, and …, 2016 | 2 | 2016 |
| DEEP LEARNING FOR PREDICTING DRIVERS' MENTAL STATES FROM ELECTROENCEPHALOGRAPHY (EEG) M Hajinoroozi University of Texas at San Antonio, 2017 | | 2017 |
| Image and signal processing with discrete signal induced heap transform M Hajinoroozi The University of Texas at San Antonio, 2014 | | 2014 |
Yufei HuangUniversity of Pittsburg Medical CenterVerified email at pitt.edu
