| Ecg heartbeat classification: A deep transferable representation M Kachuee, S Fazeli, M Sarrafzadeh 2018 IEEE international conference on healthcare informatics (ICHI), 443-444, 2018 | 597 | 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 | 83 | 2020 |
| 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 | 35 | 2021 |
| Ecg heartbeat categorization dataset S Fazeli URL https://www. kaggle. com/shayanfazeli/heartbeat, 2018 | 30 | 2018 |
| Children activity recognition: Challenges and strategies A Hosseini, S Fazeli, E van Vliet, L Valencia, R Habre, M Sarrafzadeh, ... 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 14 | 2018 |
| Extra: exercise tracking and analysis platform for remote-monitoring of knee rehabilitation M Gwak, S Fazeli, G Ershadi, M Sarrafzadeh, M Ghodsi, A Aminian, ... 2019 IEEE 16th International Conference on Wearable and Implantable Body …, 2019 | 9 | 2019 |
| ECG heartbeat categorization dataset (2018) S Fazeli URL https://www. kaggle. com/datasets/shayanfazeli/heartbeat, 2023 | 8 | 2023 |
| Adequacy of existing surveillance systems to monitor racism, social stigma and COVID inequities: a detailed assessment and recommendations CL Ford, B Amani, NT Harawa, R Akee, GC Gee, M Sarrafzadeh, ... International Journal of Environmental Research and Public Health 18 (24), 13099, 2021 | 8 | 2021 |
| Anxiety detection leveraging mobile passive sensing LM Levine, M Gwak, K Kärkkäinen, S Fazeli, B Zadeh, T Peris, AS Young, ... Body Area Networks. Smart IoT and Big Data for Intelligent Health: 15th EAI …, 2020 | 8 | 2020 |
| Passive monitoring of physiological precursors of stress leveraging smartwatch data S Fazeli, L Levine, M Beikzadeh, B Mirzasoleiman, B Zadeh, T Peris, ... 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 5 | 2022 |
| Unsupervised acute intracranial hemorrhage segmentation with mixture models K Kärkkäinen, S Fazeli, M Sarrafzadeh 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI), 120-129, 2021 | 5 | 2021 |
| Statistical analytics and regional representation learning for covid-19 pandemic understanding S Fazeli, B Moatamed, M Sarrafzadeh 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI), 248-257, 2021 | 5 | 2021 |
| ECG heartbeat classification: a deep transferable representation. arXiv M Kachuee, S Fazeli, M Sarrafzadeh arXiv preprint arXiv:1805.00794, 2018 | 5 | 2018 |
| Beyond Labels: Visual Representations for Bone Marrow Cell Morphology Recognition S Fazeli, A Samiei, TD Lee, M Sarrafzadeh 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI …, 2023 | 2 | 2023 |
| COVID-19 and Big Data: Multi-faceted Analysis for Spatio-temporal Understanding of the Pandemic with Social Media Conversations S Fazeli, D Zamanzadeh, A Ovalle, T Nguyen, G Gee, M Sarrafzadeh arXiv preprint arXiv:2104.10807, 2021 | 2 | 2021 |
| A Self-supervised Framework for Improved Data-Driven Monitoring of Stress via Multi-modal Passive Sensing S Fazeli, L Levine, M Beikzadeh, B Mirzasoleiman, B Zadeh, T Peris, ... 2023 IEEE International Conference on Digital Health (ICDH), 177-183, 2023 | 1 | 2023 |
| A Flexible and Intelligent Framework for Remote Health Monitoring Dashboards S Fazeli, M Sarrafzadeh arXiv preprint arXiv:2006.05276, 2020 | 1 | 2020 |
| Group-Connected Multilayer Perceptron Networks M Kachuee, S Darabi, S Fazeli, M Sarrafzadeh arXiv preprint arXiv:1912.09600, 2019 | 1 | 2019 |
| Efficient Representation Learning for Longitudinal Data in Healthcare Applications S Fazeli UCLA, 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 |
majid sarrafzadehUCLAVerified email at cs.ucla.edu
