| Training and Profiling a Pediatric Facial Expression Classifier for Children on Mobile Devices: Machine Learning Study. A Banerjee, OC Mutlu, A Kline, S Surabhi, P Washington, DP Wall JMIR formative research, 2022 | 15 | 2022 |
| Tempt: Temporal consistency for test-time adaptation OC Mutlu, M Honarmand, S Surabhi, DP Wall Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| Mitigating negative transfer in multi-task learning with exponential moving average loss weighting strategies (student abstract) A Lakkapragada, E Sleiman, S Surabhi, DP Wall Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16246 …, 2023 | 5 | 2023 |
| TikTok for Good: Creating a Diverse Emotion Expression Database S Surabhi, B Shah, P Washington, OC Mutlu, E Leblanc, P Mohite, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 4 | 2022 |
| TikTokActions: A TikTok-Derived Video Dataset for Human Action Recognition Y Qian, Y Sun, A Kargarandehkordi, OC Mutlu, S Surabhi, P Chen, ... arXiv preprint arXiv:2402.08875, 2024 | 2 | 2024 |
| Ensemble Modeling of Multiple Physical Indicators to Dynamically Phenotype Autism Spectrum Disorder M Huynh, A Kline, S Surabhi, K Dunlap, OC Mutlu, M Honarmand, ... arXiv preprint arXiv:2408.13255, 2024 | | 2024 |
| Deep Learning–Based Autism Spectrum Disorder Detection Using Emotion Features From Video Recordings: Model Development and Validation E Sleiman, OC Mutlu, S Surabhi, A Husic, A Kline JMIR 7 (2), e39982, 2022 | | 2022 |
