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AMIA ... Annual Symposium Proceedings. AMIA Symposium|February 25, 2011
Identifying Deviations from Usual Medical Care using a Statistical ApproachShyam Visweswaran, James Mezger, Gilles Clermont, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|August 13, 2008
A statistical approach for detecting deviations from usual medical careJames Mezger, Shyam Visweswaran, Milos Hauskrecht, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|August 13, 2008
Evidence-based anomaly detection in clinical domainsMilos Hauskrecht, Michal Valko, Branislav Kveton, et al.
Proceedings. IEEE International Conference on Data Mining|October 14, 2014
Conditional Anomaly Detection with Soft Harmonic FunctionsMichal Valko, Branislav Kveton, Hamed Valizadegan, et al.
Proceedings of the ... SIAM International Conference on Data Mining. SIAM International Conference on Data Mining|May 1, 2015
An Optimization-based Framework to Learn Conditional Random Fields for Multi-label ClassificationMahdi Pakdaman Naeini, Iyad Batal, Zitao Liu, et al.
Knowledge and Information Systems|January 12, 2016
An Efficient Pattern Mining Approach for Event Detection in Multivariate Temporal DataIyad Batal, Gregory Cooper, Dmitriy Fradkin, et al.
Bioinformatics (Oxford, England)|September 4, 2007
Intersession reproducibility of mass spectrometry profiles and its effect on accuracy of multivariate classification modelsRichard Pelikan, William L Bigbee, David Malehorn, et al.
IEEE Transactions on Knowledge and Data Engineering|August 15, 2025
Hierarchical Active Learning with Label Proportions on Data RegionsZhipeng Luo, Qiang Gao, Yazhou He, et al.
IEEE Transactions on Human-Machine Systems|July 3, 2023
Hierarchical Active Learning With Qualitative Feedback on RegionsZhipeng Luo, Yazhou He, Yanbing Xue, et al.
Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning|November 14, 2014
Conditional anomaly detection methods for patient-management alert systemsMichal Valko, Gregory Cooper, Amy Seybert, et al.
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