| Continuous Authentication Using One-Dimensional Multi-Resolution Local Binary Patterns (1DMRLBP) in ECG Biometrics W Louis, M Komeili, D Hatzinakos IEEE Transactions on Information Forensics and Security 11 (12), 2818-2832, 2016 | 116 | 2016 |
| Local Feature Selection for Data Classification N Armanfard, JP Reilly, M Komeili IEEE transactions on pattern analysis and machine intelligence 38 (6), 1217-1227, 2016 | 102 | 2016 |
| Liveness Detection and Automatic Template Updating Using Fusion of ECG and Fingerprint M Komeili, N Armanfard, D Hatzinakos IEEE Transactions on Information Forensics and Security 13 (7), 1810-1822, 2018 | 72 | 2018 |
| Feature selection for nonstationary data: application to human recognition using medical biometrics M Komeili, W Louis, N Armanfard, D Hatzinakos IEEE transactions on cybernetics 48 (5), 1446-1459, 2018 | 49 | 2018 |
| TED: A texture-edge descriptor for pedestrian detection in video sequences N Armanfard, M Komeili, E Kabir Pattern recognition 45 (3), 983-992, 2012 | 37 | 2012 |
| A novel hybrid algorithm for binarization of badly illuminated document images M Valizadeh, N Armanfard, M Komeili, E Kabir 2009 14th International CSI Computer Conference, 121-126, 2009 | 35 | 2009 |
| Talk2Me: Automated Linguistic Data Collection for Personal Assessment M Komeili, C Pou-Prom, D Liaqat, KC Fraser, M Yancheva, F Rudzicz PLoS One, 2019 | 29 | 2019 |
| A Machine Learning Framework for Automatic and Continuous MMN Detection with Preliminary Results for Coma Outcome Prediction N Armanfard, M Komeili, JP Reilly, J Connoly IEEE journal of biomedical and health informatics 23 (4), 1794 -1804, 2019 | 29 | 2019 |
| Vigilance lapse identification using sparse EEG electrode arrays N Armanfard, M Komeili, JP Reilly, L Pino 2016 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE …, 2016 | 24 | 2016 |
| Logistic Localized Modeling of the Sample Space for Feature Selection and Classification N Armanfard, JP Reilly, M Komeili IEEE transactions on neural networks and learning systems 29 (5), 1396-1413, 2018 | 22 | 2018 |
| Multiview Feature Selection for Single-view Classification M Komeili, N Armanfard, D Hatzinakos IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 21 | 2020 |
| Degraded document image binarization based on combination of two complementary algorithms M Valizadeh, M Komeili, N Armanfard, E Kabir 2009 International Conference on Advances in Computational Tools for …, 2009 | 18 | 2009 |
| On evaluating human recognition using electrocardiogram signals: From rest to exercise M Komeili, W Louis, N Armanfard, D Hatzinakos 2016 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE …, 2016 | 16 | 2016 |
| Cause and effect: Concept-based explanation of neural networks MK Mohammad Nokhbeh Zaeem 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021 | 15 | 2021 |
| 40-Hz ASSR for Measuring Depth of Anaesthesia During Induction Phase SJ Haghighi, M Komeili, D Hatzinakos, H El Beheiry IEEE journal of biomedical and health informatics 22 (6), 1871-1882, 2018 | 11 | 2018 |
| Automatic and continuous assessment of ERPs for mismatch negativity detection N Armanfard, M Komeili, JP Reilly, R Mah, JF Connolly 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 11 | 2016 |
| A non-parametric pixel-based background modeling for dynamic scenes N Armanfard, M Komeili, M Valizade, E Kabir, S Jalili 2009 International Conference on Advances in Computational Tools for …, 2009 | 11 | 2009 |
| A fuzzy approach for multi-feature pedestrian tracking with particle filter M Komeili, N Armanfard, E Kabir 2008 International Symposium on Telecommunications, 570-575, 2008 | 10 | 2008 |
| Toward Faithful Case-based Reasoning through Learning Prototypes in a Nearest Neighbor-friendly Space O Davoudi, M Komeili International Conference on Learning Representations (ICLR), 2022 | 9 | 2022 |
| Feature-Based Interpretable Reinforcement Learning based on State-Transition Models O Davoudi, M Komeili IEEE International Conference on Systems, Man, and Cybernetics, 2021 | 9 | 2021 |
Narges Armanfard, PhD, PEngAI Scientist, Associate Professor, McGill University & Mila-Quebec AI Institute在 mcgill.ca 的电子邮件经过验证
