Yubin Park

Orcid: 0000-0001-5921-4802

According to our database1, Yubin Park authored at least 20 papers between 2011 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2021
Tackling Overfitting in Boosting for Noisy Healthcare Data.
IEEE Trans. Knowl. Data Eng., 2021

2020
CaliForest: calibrated random forest for health data.
Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

2018
PaloBoost: An Overfitting-robust TreeBoost with Out-of-Bag Sample Regularization Techniques.
CoRR, 2018

2017
Learning from different perspectives: Robust cardiac arrest prediction via temporal transfer learning.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
ACDC: $α$-Carving Decision Chain for Risk Stratification.
CoRR, 2016

2015
Privacy-Preserving Data Publishing Methods in Healthcare.
Proceedings of the Healthcare Data Analytics., 2015

2014
Ensembles of (α)-Trees for Imbalanced Classification Problems.
IEEE Trans. Knowl. Data Eng., 2014

PeGS: Perturbed Gibbs Samplers that Generate Privacy-Compliant Synthetic Data.
Trans. Data Priv., 2014

LUDIA: an aggregate-constrained low-rank reconstruction algorithm to leverage publicly released health data.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Graph databases for large-scale healthcare systems: A framework for efficient data management and data services.
Proceedings of the Workshops Proceedings of the 30th International Conference on Data Engineering Workshops, 2014

Predicting Next Label Quality: A Time-Series Model of Crowdwork.
Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

A Hierarchical Ensemble of α-Trees for Predicting Expensive Hospital Visits.
Proceedings of the Brain Informatics and Health - International Conference, 2014

LAMORE: A Stable, Scalable Approach to Latent Vector Autoregressive Modeling of Categorical Time Series.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
CUDIA: Probabilistic cross-level imputation using individual auxiliary information.
ACM Trans. Intell. Syst. Technol., 2013

Perturbed Gibbs Samplers for Generating Large-Scale Privacy-Safe Synthetic Health Data.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2013

Multivariate temporal symptomatic characterization of cardiac arrest.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

DYNACARE: Dynamic Cardiac Arrest Risk Estimation.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012
A probabilistic imputation framework for predictive analysis using variably aggregated, multi-source healthcare data.
Proceedings of the ACM International Health Informatics Symposium, 2012

Metaphor: a system for related search recommendations.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Compact Ensemble Trees for Imbalanced Data.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011


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