| Sand-mask: An enhanced gradient masking strategy for the discovery of invariances in domain generalization S Shahtalebi, JC Gagnon-Audet, T Laleh, M Faramarzi, K Ahuja, I Rish arXiv preprint arXiv:2106.02266, 2021 | 53 | 2021 |
| PHTNet: Characterization and deep mining of involuntary pathological hand tremor using recurrent neural network models S Shahtalebi, SF Atashzar, O Samotus, RV Patel, MS Jog, A Mohammadi Scientific reports 10 (1), 2195, 2020 | 28 | 2020 |
| WAKE: Wavelet decomposition coupled with adaptive Kalman filtering for pathological tremor extraction S Shahtalebi, SF Atashzar, RV Patel, A Mohammadi Biomedical Signal Processing and Control 48, 179-188, 2019 | 27 | 2019 |
| A deep explainable artificial intelligent framework for neurological disorders discrimination S Shahtalebi, SF Atashzar, RV Patel, MS Jog, A Mohammadi Scientific reports 11 (1), 9630, 2021 | 22 | 2021 |
| Bayesian optimized spectral filters coupled with ternary ECOC for single-trial EEG classification S Shahtalebi, A Mohammadi IEEE Transactions on Neural Systems and Rehabilitation Engineering 26 (12 …, 2018 | 21 | 2018 |
| Siamese neural networks for eeg-based brain-computer interfaces S Shahtalebi, A Asif, A Mohammadi 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 19 | 2020 |
| HMFP-DBRNN: Real-time hand motion filtering and prediction via deep bidirectional RNN S Shahtalebi, SF Atashzar, RV Patel, A Mohammadi IEEE Robotics and Automation Letters 4 (2), 1061-1068, 2019 | 17 | 2019 |
| Ternary ECOC classifiers coupled with optimized spatio-spectral patterns for multiclass motor imagery classification S Shahtalebi, A Mohammadi IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2231-2236, 2017 | 12 | 2017 |
| A Bayesian framework to optimize double band spectra spatial filters for motor imagery classification S Shahtalebi, A Mohammadi 2018 ieee international conference on acoustics, speech and signal …, 2018 | 10 | 2018 |
| Predicting Fine-Tuning Performance with Probing Z Zhu, S Shahtalebi, F Rudzicz ACL 2022 Workshop BigScience, 2022 | 9 | 2022 |
| Error correction output codding coupled with the CSP for motor imagery BCI systems S Shahtalebi, A Mohammadi 2017 25th European Signal Processing Conference (EUSIPCO), 2071-2075, 2017 | 6 | 2017 |
| OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization Z Zhu, S Shahtalebi, F Rudzicz arXiv preprint arXiv:2208.12352, 2022 | 3 | 2022 |
| A multi-rate and auto-adjustable wavelet decomposition framework for pathological hand tremor extraction S Shahtalebi, A Mohammadi, SF Atashzar, RV Patel 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2017 | 3 | 2017 |
| AnthroNet: Conditional Generation of Humans via Anthropometrics F Picetti, S Deshpande, J Leban, S Shahtalebi, J Patel, P Jing, C Wang, ... arXiv preprint arXiv:2309.03812, 2023 | 2 | 2023 |
| Out-of-Distribution Failure through the Lens of Labeling Mechanisms: An Information Theoretic Approach S Shahtalebi, Z Zhu, F Rudzicz ICML 2022: Workshop on Spurious Correlations, Invariance and Stability, 2022 | 1 | 2022 |
| Adaptive Subject-specific Bayesian Spectral Filtering for Single Trial EEG Classification M Mirgholami, S Shahtalebi, W Cui, R Karimi, A Asif, A Mohammadi 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2019 | 1 | 2019 |
| Training of deep bidirectional RNNs for hand motion filtering via multimodal data fusion S Shahtalebi, SF Atashzar, RV Patel, A Mohammadi 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2019 | 1 | 2019 |
| Feature Space Reduction for Single Trial EEG Classification based on Wavelet Decomposition S Shahtalebi, A Mohammadi 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 1 | 2019 |
| A Remedy For Distributional Shifts Through Expected Domain Translation JC Gagnon-Audet, S Shahtalebi, F Rudzicz, I Rish ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | | 2022 |
| Towards effective application of data-driven learning models for assistive technologies and brain-computer interfaces S Shahtalebi Concordia University, 2020 | | 2020 |
Arash MohammadiAssociate Professor, Concordia UniversityE-mail confirmado em encs.concordia.ca
