Iyad Batal, Ph.D.

Affiliations: 
2012 Computer Science University of Pittsburgh, Pittsburgh, PA, United States 
Area:
Computer Science
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"Iyad Batal"

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Milos Hauskrecht grad student 2012 University of Pittsburgh
 (Mining predictive patterns and extension to multivariate temporal data.)
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Publications

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Hauskrecht M, Batal I, Hong C, et al. (2016) Outlier-based detection of unusual patient-management actions: an ICU study. Journal of Biomedical Informatics
Batal I, Cooper G, Fradkin D, et al. (2016) An Efficient Pattern Mining Approach for Event Detection in Multivariate Temporal Data. Knowledge and Information Systems. 46: 115-150
Hong C, Batal I, Hauskrecht M. (2015) A Generalized Mixture Framework for Multi-label Classification. Proceedings of the ... Siam International Conference On Data Mining. Siam International Conference On Data Mining. 2015: 712-720
Batal I, Cooper GF, Fradkin D, et al. (2015) An efficient pattern mining approach for event detection in multivariate temporal data Knowledge and Information Systems
Naeini MP, Batal I, Liu Z, et al. (2014) An Optimization-based Framework to Learn Conditional Random Fields for Multi-label Classification. Proceedings of the ... Siam International Conference On Data Mining. Siam International Conference On Data Mining. 2014: 992-1000
Hong C, Batal I, Hauskrecht M. (2014) A Mixtures-of-Trees Framework for Multi-Label Classification. Proceedings of the ... Acm International Conference On Information & Knowledge Management. Acm International Conference On Information and Knowledge Management. 2014: 211-220
Batal I, Valizadegan H, Cooper GF, et al. (2013) A Temporal Pattern Mining Approach for Classifying Electronic Health Record Data. Acm Transactions On Intelligent Systems and Technology. 4
Hauskrecht M, Batal I, Valko M, et al. (2013) Outlier detection for patient monitoring and alerting. Journal of Biomedical Informatics. 46: 47-55
Batal I, Hong C, Hauskrecht M. (2013) An efficient probabilistic framework for multi-dimensional classification International Conference On Information and Knowledge Management, Proceedings. 2417-2422
Batal I, Cooper G, Hauskrecht M. (2012) A Bayesian Scoring Technique for Mining Predictive and Non-Spurious Rules. Machine Learning and Knowledge Discovery in Databases : European Conference, Ecml Pkdd ... : Proceedings. Ecml Pkdd (Conference). 7524: 260-276
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