Gang Luo
Orcid: 0000-0001-7217-4008Affiliations:
- University of Washington, Department of Biomedical Informatics and Medical Education, Seattle, USA
- University of Wisconsin, USA (former)
According to our database1,
Gang Luo
authored at least 58 papers
between 2002 and 2024.
Collaborative distances:
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Bibliography
2024
Progress Estimation for End-to-End Training of Deep Learning Models With Online Data Preprocessing.
IEEE Access, 2024
2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
IEEE Access, 2022
2020
DicomAnnotator: a Configurable Open-Source Software Program for Efficient DICOM Image Annotation.
J. Digit. Imaging, 2020
Testing the Generalizability of an Automated Method for Explaining Machine Learning Predictions on Asthma Patients' Asthma Hospital Visits to an Academic Healthcare System.
IEEE Access, 2020
IEEE Access, 2020
Parameter Sensitivity Analysis for the Progressive Sampling-Based Bayesian Optimization Method for Automated Machine Learning Model Selection.
Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2020
2019
Distributed Parallel Databases, 2019
2018
Progress Indication for Machine Learning Model Building: A Feasibility Demonstration.
SIGKDD Explor., 2018
2017
Toward a Progress Indicator for Machine Learning Model Building and Data Mining Algorithm Execution: A Position Paper.
SIGKDD Explor., 2017
Automatic identification of high impact articles in PubMed to support clinical decision making.
J. Biomed. Informatics, 2017
Progressive sampling-based Bayesian optimization for efficient and automatic machine learning model selection.
Health Inf. Sci. Syst., 2017
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017
2016
Efficient Execution Methods of Pivoting for Bulk Extraction of Entity-Attribute-Value-Modeled Data.
IEEE J. Biomed. Health Informatics, 2016
A review of automatic selection methods for machine learning algorithms and hyper-parameter values.
Netw. Model. Anal. Health Informatics Bioinform., 2016
PredicT-ML: a tool for automating machine learning model building with big clinical data.
Health Inf. Sci. Syst., 2016
Automatically explaining machine learning prediction results: a demonstration on type 2 diabetes risk prediction.
Health Inf. Sci. Syst., 2016
Dietary Management Software for Chronic Kidney Disease: Current Status and Open Issues.
Proceedings of the Health Information Science - 5th International Conference, 2016
2015
BMC Medical Informatics Decis. Mak., 2015
BMC Medical Informatics Decis. Mak., 2015
2014
A Roadmap for Designing a Personalized Search Tool for Individual Healthcare Providers.
J. Medical Syst., 2014
2013
Open Issues in Intelligent Personal Health Record - An Updated Status Report for 2012.
J. Medical Syst., 2013
2012
J. Medical Syst., 2012
J. Medical Syst., 2012
J. Medical Syst., 2012
2010
Proceedings of the Web-Age Information Management, 11th International Conference, 2010
2009
Knowl. Inf. Syst., 2009
Proceedings of the Medical Informatics in a United and Healthy Europe - Proceedings of MIE 2009, The XXIInd International Congress of the European Federation for Medical Informatics, Sarajevo, Bosnia and Herzegovina, August 30, 2009
Proceedings of the 25th International Conference on Data Engineering, 2009
2008
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008
2007
Proceedings of the 16th International Conference on World Wide Web, 2007
Proceedings of the 16th International Conference on World Wide Web, 2007
Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007
Proceedings of the 23rd International Conference on Data Engineering, 2007
Proceedings of the 23rd International Conference on Data Engineering, 2007
Subject-Adaptive Real-Time Sleep Stage Classification Based on Conditional Random Field.
Proceedings of the AMIA 2007, 2007
2006
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006
Proceedings of the Advances in Database Technology, 2006
Proceedings of the Business Intelligence for the Real-Time Enterprises, 2006
2005
IEEE Trans. Knowl. Data Eng., 2005
Proceedings of the 21st International Conference on Data Engineering, 2005
2004
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004
2003
Proceedings of the 19th International Conference on Data Engineering, 2003
2002
Proceedings of the 2002 ACM SIGMOD International Conference on Management of Data, 2002
Proceedings of the 18th International Conference on Data Engineering, San Jose, CA, USA, February 26, 2002