| Ensembles of -Trees for Imbalanced Classification Problems Y Park, J Ghosh IEEE Transactions on Knowledge and Data Engineering 26 (1), 131-143, 2012 | 40 | 2012 |
| Predicting Next Label Quality: A Time-Series Model of Crowdwork. HJ Jung, Y Park, M Lease HCOMP 14, 1-9, 2014 | 28 | 2014 |
| 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 | 23 | 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 | 20 | 2012 |
| 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 | 17 | 2013 |
| 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 | 12 | 2012 |
| 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 | 8 | 2014 |
| DYNACARE: dynamic cardiac arrest risk estimation J Ho, Y Park, C Carvalho, J Ghosh Artificial Intelligence and Statistics, 333-341, 2013 | 8 | 2013 |
| Case management system using a medical event forecasting engine Y Park, J Ho, S Vishwanath US Patent App. 15/092,738, 2016 | 6 | 2016 |
| PeGS: Perturbed Gibbs Samplers that Generate Privacy-Compliant Synthetic Data. Y Park, J Ghosh Trans. Data Priv. 7 (3), 253-282, 2014 | 5 | 2014 |
| 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 | 4 | 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 | 4 | 2011 |
| 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 |
| A hierarchical ensemble of α-trees for predicting expensive hospital visits Y Park, J Ghosh International Conference on Brain Informatics and Health, 178-187, 2014 | 2 | 2014 |
| Perturbed Gibbs Samplers for synthetic data release Y Park, J Ghosh arXiv preprint arXiv:1312.5370, 2013 | 2 | 2013 |
| PaloBoost: An Overfitting-robust TreeBoost with Out-of-Bag Sample Regularization Techniques Y Park, JC Ho arXiv preprint arXiv:1807.08383, 2018 | 1 | 2018 |
| 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 | 1 | 2017 |
| Privacy-Preserving Data Publishing Methods in Healthcare. Y Park, J Ghosh Healthcare Data Analytics, 507-529, 2015 | 1 | 2015 |
| Multivariate temporal symptomatic characterization of cardiac arrest Y Park, JC Ho, J Ghosh 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 1 | 2013 |
| Compact ensemble trees for imbalanced data Y Park, J Ghosh International Workshop on Multiple Classifier Systems, 86-95, 2011 | 1 | 2011 |
Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. of Texas at Austin; Faculty Dell Med, UTCS, McCombs, UT-BMEVerifierad e-postadress på utexas.edu
