| Bnn+: Improved binary network training S Darabi, M Belbahri, M Courbariaux, VP Nia | 124 | 2018 |
| Taper: Time-aware patient ehr representation S Darabi, M Kachuee, S Fazeli, M Sarrafzadeh IEEE journal of biomedical and health informatics 24 (11), 3268-3275, 2020 | 74 | 2020 |
| Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams M Kachuee, O Goldstein, K Karkkainen, S Darabi, M Sarrafzadeh International Conference on Learning Representation (ICLR), 2019 | 36 | 2019 |
| Dynamic feature acquisition using denoising autoencoders M Kachuee, S Darabi, B Moatamed, M Sarrafzadeh IEEE transactions on neural networks and learning systems 30 (8), 2252-2262, 2018 | 31 | 2018 |
| Contrastive mixup: Self-and semi-supervised learning for tabular domain S Darabi, S Fazeli, A Pazoki, S Sankararaman, M Sarrafzadeh arXiv preprint arXiv:2108.12296, 2021 | 28 | 2021 |
| Regularized binary network training S Darabi, M Belbahri, M Courbariaux, VP Nia arXiv preprint arXiv:1812.11800, 2018 | 23 | 2018 |
| Generative imputation and stochastic prediction M Kachuee, K Karkkainen, O Goldstein, S Darabi, M Sarrafzadeh IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (3), 1278-1288, 2020 | 22 | 2020 |
| Method and system for training binary quantized weight and activation function for deep neural networks LI Xinlin, S Darabi, M Belbahri, VP NIA US Patent App. 16/582,131, 2020 | 19 | 2020 |
| Complex event processing of health data in real-time to predict heart failure risk and stress SS Sandha, M Kachuee, S Darabi arXiv preprint arXiv:1707.04364, 2017 | 12 | 2017 |
| Context-aware feature query to improve the prediction performance M Kachuee, A Hosseini, B Moatamed, S Darabi, M Sarrafzadeh 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2017 | 8 | 2017 |
| Synthesising multi-modal minority samples for tabular data S Darabi, Y Elor arXiv preprint arXiv:2105.08204, 2021 | 7* | 2021 |
| Foothill: A quasiconvex regularization for edge computing of deep neural networks M Belbahri, E Sari, S Darabi, V Partovi Nia Image Analysis and Recognition: 16th International Conference, ICIAR 2019 …, 2019 | 6 | 2019 |
| Heart rate compression & time reduction method for HRV monitoring in athletes S Darabi, B Moatamed, W Huang, M Gwak, C Metoyer, M Linn, ... 2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT …, 2017 | 5 | 2017 |
| Sport analytics platform for athletic readiness assessment B Moatamed, S Darabi, M Gwak, M Kachuee, C Metoyer, M Linn, ... 2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT …, 2017 | 5 | 2017 |
| Unsupervised representation for ehr signals and codes as patient status vector S Darabi, M Kachuee, M Sarrafzadeh arXiv preprint arXiv:1910.01803, 2019 | 4 | 2019 |
| A Framework for Large Scale Synthetic Graph Dataset Generation S Darabi, P Bigaj, D Majchrowski, A Kasymov, P Morkisz, A Fit-Florea arXiv preprint arXiv:2210.01944, 2022 | 2 | 2022 |
| Group-Connected Multilayer Perceptron Networks M Kachuee, S Darabi, S Fazeli, M Sarrafzadeh arXiv preprint arXiv:1912.09600, 2019 | 1 | 2019 |
| Scoring System for Conditioning and Wellness Assessment in Athletic Population B Moatamed, S Darabi, M Sarrafzadeh 2019 IEEE Healthcare Innovations and Point of Care Technologies,(HI-POCT), 1-4, 2019 | 1 | 2019 |
| TSPP: A Unified Benchmarking Tool for Time-series Forecasting J Bączek, D Zhylko, G Titericz, S Darabi, JF Puget, I Putterman, ... arXiv preprint arXiv:2312.17100, 2023 | | 2023 |
| Heterogenous Ensemble of Models for Molecular Property Prediction S Darabi, S Fazeli, J Liu, A Milesi, P Morkisz, JF Puget, G Titericz arXiv preprint arXiv:2211.11035, 2022 | | 2022 |
