| Deep Convolutional Neural Networks and Learning ECG Features for Screening Paroxysmal Atrial Fibrillation Patients B Pourbabaee, MJ Roshtkhari, K Khorasani IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017 | 448 | 2017 |
| Sensor Fault Detection, Isolation and Identification Using Multiple Model-based Hybrid Kalman Filter for Gas Turbine Engines B Pourbabaee, N Meskin, K Khorasani Control Systems Technology, IEEE Transactions on, 2015 | 229 | 2015 |
| Feature learning with deep Convolutional Neural Networks for screening patients with paroxysmal atrial fibrillation B Pourbabaee, MJ Roshtkhari, K Khorasani Neural Networks (IJCNN), 2016 International Joint Conference on, 5057-5064, 2016 | 73 | 2016 |
| Group activity detection from trajectory and video data in soccer R Sanford, S Gorji, LG Hafemann, B Pourbabaee, M Javan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 54 | 2020 |
| Robust sensor fault detection and isolation of gas turbine engines subjected to time-varying parameter uncertainties B Pourbabaee, N Meskin, K Khorasani Mechanical Systems and Signal Processing 76, 136-156, 2016 | 47 | 2016 |
| Automated detection of sleep arousals from polysomnography data using a dense convolutional neural network M Howe-Patterson, B Pourbabaee, F Benard 2018 Computing in Cardiology Conference (CinC) 45, 1-4, 2018 | 46 | 2018 |
| Multiple-model based sensor fault diagnosis using hybrid kalman filter approach for nonlinear gas turbine engines B Pourbabaee, N Meskin, K Khorasani American Control Conference (ACC), 2013, 4717-4723, 2013 | 45 | 2013 |
| Deep convolutional neural network for ECG-based human identification B Pourbabaee, M Howe-Patterson, E Reiher, F Benard CMBES Proceedings 41, 2018 | 41 | 2018 |
| Automatic detection and prediction of paroxysmal atrial fibrillation based on analyzing ECG signal feature classification methods B Pourbabaee, C Lucas 2008 Cairo international biomedical engineering conference, 1-4, 2008 | 30 | 2008 |
| SleepNet: automated sleep analysis via dense convolutional neural network using physiological time series B Pourbabaee, MH Patterson, MR Patterson, F Benard Physiological measurement 40 (8), 084005, 2019 | 17 | 2019 |
| Sensor Fault Detection and Isolation using Multiple Robust Filters for Linear Systems with Time-Varying Parameter Uncertainty and Error Variance Constraints B Pourbabaee, N Meskin, K Khorasani IEEE Multi-Conference on Systems and Control (MSC), 2014 | 8 | 2014 |
| Robust sensor fault detection and isolation of gas turbine engines B Pourbabaee Concordia University, 2016 | 4 | 2016 |
| Paroxysmal atrial fibrillation diagnosis based on feature extraction and classification B Pourbabaee, C Lucas 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and …, 2010 | 3 | 2010 |
| Daily Mental Stress Prediction Using Heart Rate Variability B Pourbabaee, M Patterson, R Brais, E Reiher, F Benard CMBES Proceedings 41, 2018 | 2 | 2018 |
| Systems and Methods for Detection, Prediction, and Value Estimation of Activities and Events MJ ROSHTKHARI, B Pourbabaee, ON Schulte US Patent App. 18/529,204, 2024 | 1 | 2024 |
| Fuzzy Temperature & Humidity System Optimization By Simulated Annealing B Pourbabaee, M Shadalooee, C Lucas International Conference on Control, Automation and Systems (ICCAS), 2008 …, 2008 | 1 | 2008 |
| SleepNet: Automated sleep disorder detection via dense convolutional neural network B Pourbabaee, MH Patterson, MR Patterson, F Bénard arXiv preprint arXiv:1903.04377, 2019 | | 2019 |
| Automated Detection of Anaerobic and Ventilatory Thresholds From Free-form Biometric Data M Howe-Patterson, E Reiher, MR Patterson, B Pourbabaee, F Benard CMBES Proceedings 41, 2018 | | 2018 |
| Computing in Cardiology 2018 Awards Summary E Kovacheva, M Howe-Patterson, B Pourbabaee, F Benard, ... | | |
K. KhorasaniProfessor of Electrical and Computer EngineeringVerified email at ece.concordia.ca