Generating privacy-preserving process data with deep generative models K Li, S Yang, TM Sullivan, RS Burd, I Marsic arXiv preprint arXiv:2203.07949, 2022 | 3 | 2022 |
Exploring Runtime Decision Support for Trauma Resuscitation K Li, S Yang, TM Sullivan, RS Burd, I Marsic arXiv preprint arXiv:2207.02922, 2022 | 2 | 2022 |
Rutgers multimedia image processing lab at semeval-2023 task-1: Text-augmentation-based approach for visual word sense disambiguation K Li, S Yang, C Gao, I Marsic Proceedings of the 17th International Workshop on Semantic Evaluation …, 2023 | 1 | 2023 |
Discovering interpretable medical process models: A case study in trauma resuscitation K Li, I Marsic, A Sarcevic, S Yang, TM Sullivan, PE Tempel, ZP Milestone, ... Journal of biomedical informatics 140, 104344, 2023 | 1 | 2023 |
MaskMatch: Boosting Semi-Supervised Learning Through Mask Autoencoder-Driven Feature Learning W Zhang, K Li, S Yang, C Gao, W Yang, S Yuan, I Marsic arXiv preprint arXiv:2405.06227, 2024 | | 2024 |
ProcessGAN: Generating Privacy-Preserving Time-Aware Process Data with Conditional Generative Adversarial Nets K Li, S Yang, TM Sullivan, RS Burd, I Marsic ACM Transactions on Knowledge Discovery from Data, 2024 | | 2024 |
Probabilistic Workflow Modeling of Transfused Injured Children and Adolescents at a Level 1 Trauma Center M Krentsa, TM Sullivan, K Li, E Matison, W Gestrich-Thompson, GJ Sippel, ... | | 2024 |
Focusing on What Matters: Fine-grained Medical Activity Recognition for Trauma Resuscitation via Actor Tracking W Zhang, K Li, S Yang, S Yuan, I Marsic, GJ Sippel, MS Kim, RS Burd Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
Quantitative Assessment of Limb Stability from Handwriting Images ZF He, L Zeng, R Xie, K Li, H Su, J Lei, L Lan, L Xia, D Lin 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th …, 2021 | | 2021 |