Bahar Pourbabaee
Bahar Pourbabaee
Machine Learning Research Lead - Sportlogiq
Verified email at sportlogiq.com - Homepage
Title
Cited by
Cited by
Year
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
1752017
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
1102015
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
292016
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
282016
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
252013
Deep convolutional neural network for ECG-based human identification
B Pourbabaee, M Howe-Patterson, E Reiher, F Benard
CMBES Proceedings 41, 2018
172018
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
172008
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
152018
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
82014
Automatic detection and prediction of paroxysmal atrial fibrillation based on analyzing ecg signal feature
B Pourbabaee, C Lucas
IEEE Engineering in Medicine and Biology 8, 3-6, 2008
52008
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
42019
Paroxysmal atrial fibrillation diagnosis based on feature extraction and classification
B Pourbabaee, C Lucas
2010 IEEE Symposium on Computational Intelligence in Bioinformatics and …, 2010
22010
Daily Mental Stress Prediction Using Heart Rate Variability
B Pourbabaee, M Patterson, R Brais, E Reiher, F Benard
CMBES Proceedings 41, 2018
12018
Robust sensor fault detection and isolation of gas turbine engines
B Pourbabaee
Concordia University, 2016
12016
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
2020
SleepNet: Automated sleep disorder detection via dense convolutional neural network
B Pourbabaee, MH Patterson, MR Patterson, F Benard
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
Fuzzy Temperature & Humidity System Optimization By Simulated Annealing
B Pourbabaee, M Shadalooee, C Lucas
International Conference on Control, Automation and Systems (ICCAS), 2008 …, 2008
2008
Computing in Cardiology 2018 Awards Summary
E Kovacheva, M Howe-Patterson, B Pourbabaee, F Benard, ...
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