| Case management system using a medical event forecasting engine Y Park, J Ho, S Vishwanath US Patent App. 15/092,738, 2016 | 66 | 2016 |
| Ensembles of -Trees for Imbalanced Classification Problems Y Park, J Ghosh IEEE Transactions on Knowledge and Data Engineering 26 (1), 131-143, 2012 | 57 | 2012 |
| Tackling overfitting in boosting for noisy healthcare data Y Park, JC Ho IEEE Transactions on Knowledge and Data Engineering 33 (7), 2995-3006, 2019 | 52 | 2019 |
| Graph databases for large-scale healthcare systems: A framework for efficient data management and data services Y Park, M Shankar, BH Park, J Ghosh 2014 IEEE 30th International Conference on Data Engineering Workshops, 12-19, 2014 | 52 | 2014 |
| Predicting next label quality: A time-series model of crowdwork H Jung, Y Park, M Lease Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 2 …, 2014 | 44 | 2014 |
| Perturbed gibbs samplers for generating large-scale privacy-safe synthetic health data Y Park, J Ghosh, M Shankar 2013 IEEE International Conference on Healthcare Informatics, 493-498, 2013 | 33 | 2013 |
| PeGS: Perturbed Gibbs Samplers that Generate Privacy-Compliant Synthetic Data. Y Park, J Ghosh Trans. Data Priv. 7 (3), 253-282, 2014 | 27 | 2014 |
| Metaphor: a system for related search recommendations A Reda, Y Park, M Tiwari, C Posse, S Shah Proceedings of the 21st ACM international conference on Information and …, 2012 | 24 | 2012 |
| Califorest: calibrated random forest for health data Y Park, JC Ho Proceedings of the ACM Conference on Health, Inference, and Learning, 40-50, 2020 | 15 | 2020 |
| Ludia: An aggregate-constrained low-rank reconstruction algorithm to leverage publicly released health data Y Park, J Ghosh Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 13 | 2014 |
| A probabilistic imputation framework for predictive analysis using variably aggregated, multi-source healthcare data Y Park, J Ghosh Proceedings of the 2nd ACM SIGHIT international health informatics symposium …, 2012 | 13 | 2012 |
| DYNACARE: dynamic cardiac arrest risk estimation J Ho, Y Park, C Carvalho, J Ghosh Artificial Intelligence and Statistics, 333-341, 2013 | 10 | 2013 |
| Learning from different perspectives: Robust cardiac arrest prediction via temporal transfer learning JC Ho, Y Park 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 9 | 2017 |
| Lamore: A stable, scalable approach to latent vector autoregressive modeling of categorical time series Y Park, C Carvalho, J Ghosh Artificial Intelligence and Statistics, 733-742, 2014 | 5 | 2014 |
| A generative framework for predictive modeling using variably aggregated, multi-source healthcare data Y Park, J Ghosh Proceedings of the 2011 workshop on Data mining for medicine and healthcare …, 2011 | 5 | 2011 |
| PaloBoost: An overfitting-robust TreeBoost with out-of-bag sample regularization techniques Y Park, JC Ho arXiv preprint arXiv:1807.08383, 2018 | 4 | 2018 |
| Perturbed Gibbs samplers for synthetic data release Y Park, J Ghosh arXiv preprint arXiv:1312.5370, 2013 | 4 | 2013 |
| A Hierarchical Ensemble of α-Trees for Predicting Expensive Hospital Visits Y Park, J Ghosh Brain Informatics and Health: International Conference, BIH 2014, Warsaw …, 2014 | 3 | 2014 |
| CUDIA: Probabilistic cross-level imputation using individual auxiliary information Y Park, J Ghosh ACM Transactions on Intelligent Systems and Technology (TIST) 4 (4), 1-24, 2013 | 3 | 2013 |
| ACDC: -Carving Decision Chain for Risk Stratification Y Park, J Ho, J Ghosh arXiv preprint arXiv:1606.05325, 2016 | 2 | 2016 |
Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. Texas at Austin; Faculty Dell Med, UT-Comp. Sc., McCombs在 utexas.edu 的电子邮件经过验证