Iyad Batal, Ph.D.
Affiliations: | 2012 | Computer Science | University of Pittsburgh, Pittsburgh, PA, United States |
Area:
Computer ScienceGoogle:
"Iyad Batal"Parents
Sign in to add mentorMilos 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 |