| Raim: Recurrent attentive and intensive model of multimodal patient monitoring data Y Xu, S Biswal, SR Deshpande, KO Maher, J Sun Proceedings of the 24th ACM SIGKDD international conference on Knowledge …, 2018 | 185 | 2018 |
| Large-scale domain-specific pretraining for biomedical vision-language processing S Zhang, Y Xu, N Usuyama, J Bagga, R Tinn, S Preston, R Rao, M Wei, ... arXiv preprint arXiv:2303.00915 2 (3), 6, 2023 | 117* | 2023 |
| A Bayesian nonparametric approach for estimating individualized treatment-response curves Y Xu, Y Xu, S Saria Machine learning for healthcare conference, 282-300, 2016 | 85* | 2016 |
| Holmes: health online model ensemble serving for deep learning models in intensive care units S Hong, Y Xu, A Khare, S Priambada, K Maher, A Aljiffry, J Sun, ... Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 75 | 2020 |
| Using Logistic Regression to Trace Multiple Sub-skills in a Dynamic Bayes Net. Y Xu, J Mostow Edm, 241-246, 2011 | 55 | 2011 |
| Comparison of Methods to Trace Multiple Subskills: Is LR-DBN Best?. Y Xu, J Mostow International Educational Data Mining Society, 2012 | 42 | 2012 |
| Using EEG in knowledge tracing Y Xu, KM Chang, Y Yuan, J Mostow Educational Data Mining 2014, 2014 | 18* | 2014 |
| Using item response theory to refine knowledge tracing Y Xu, J Mostow Educational Data Mining 2013, 2013 | 12 | 2013 |
| Doing more with less: Student modeling and performance prediction with reduced content models Y Huang, Y Xu, P Brusilovsky User Modeling, Adaptation, and Personalization: 22nd International …, 2014 | 10 | 2014 |
| Improving efficacy attribution in a self-directed learning environment using prior knowledge individualization ZA Pardos, Y Xu Proceedings of the Sixth International Conference on Learning Analytics …, 2016 | 9 | 2016 |
| A Unified 5-Dimensional Framework for Student Models. Y Xu, J Mostow EDM (Workshops), 2014 | 9 | 2014 |
| Logistic Regression in a Dynamic Bayes Net Models Multiple Subskills Better! Y Xu, J Mostow Educational Data Mining 2011, 2010 | 9 | 2010 |
| A whole-slide foundation model for digital pathology from real-world data H Xu, N Usuyama, J Bagga, S Zhang, R Rao, T Naumann, C Wong, ... Nature, 1-8, 2024 | 6 | 2024 |
| A public toolkit and its dataset for EEG Y Yuan, K Chang, Y Xu, J Mostow Workshop on utilizing EEG input in intelligent tutoring systems (ITS2014 …, 2014 | 6 | 2014 |
| Large-scale domain-specific pretraining for biomedical vision-language processing (2023) S Zhang, Y Xu, N Usuyama, J Bagga, R Tinn, S Preston, R Rao, M Wei, ... URL https://arxiv. org/abs/2303.00915, 0 | 6 | |
| Training small multimodal models to bridge biomedical competency gap: A case study in radiology imaging JMZ Chaves, SC Huang, Y Xu, H Xu, N Usuyama, S Zhang, F Wang, ... arXiv preprint arXiv:2403.08002, 2024 | 5 | 2024 |
| Foundation models for biomedical image segmentation: A survey HH Lee, Y Gu, T Zhao, Y Xu, J Yang, N Usuyama, C Wong, M Wei, ... arXiv preprint arXiv:2401.07654, 2024 | 4 | 2024 |
| Scaling cognitive modeling to massive open environments Y Xu, MJ Johnson, ZA Pardos Workshop on Machine Learning in Education at the 32nd International …, 2015 | 4 | 2015 |
| Predicting changes in pediatric medical complexity using large longitudinal health records Y Xu, MT Bahadori, E Searles, M Thompson, TS Javier, J Sun AMIA Annual Symposium Proceedings 2017, 1838, 2017 | 3 | 2017 |
| SMURF-THP: score matching-based uncertainty quantification for transformer Hawkes process Z Li, Y Xu, S Zuo, H Jiang, C Zhang, T Zhao, H Zha International Conference on Machine Learning, 20210-20220, 2023 | 2 | 2023 |
Peter BrusilovskyProfessor, School of Computing and Information, University of Pittsburgh在 pitt.edu 的电子邮件经过验证
Peter BrusilovskyProfessor, School of Computing and Information, University of Pittsburgh在 pitt.edu 的电子邮件经过验证