Ensembles of 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 H Jung, Y Park, M Lease
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 2 (1), 2014
29 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
28 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
21 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
18 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
7 2016 PeGS: Perturbed Gibbs Samplers that Generate Privacy-Compliant Synthetic Data. Y Park, J Ghosh
Trans. Data Priv. 7 (3), 253-282, 2014
7 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 Tackling Overfitting in Boosting for Noisy Healthcare Data Y Park, J Ho
IEEE Transactions on Knowledge and Data Engineering, 2019
1 2019 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 
Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. of Texas at Austin; Faculty Dell Med, UTCS, McCombs, UT-BMEE-mail confirmado em utexas.edu
