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Iyad Batal
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2020 – today
- 2021
- [i3]Jianxun Lian, Iyad Batal, Zheng Liu, Akshay Soni, Eun Yong Kang, Yajun Wang, Xing Xie:
Multi-Interest-Aware User Modeling for Large-Scale Sequential Recommendations. CoRR abs/2102.09211 (2021) - 2020
- [i2]Iyad Batal, Akshay Soni:
Multi-Channel Sequential Behavior Networks for User Modeling in Online Advertising. CoRR abs/2012.15728 (2020)
2010 – 2019
- 2016
- [j4]Milos Hauskrecht, Iyad Batal, Charmgil Hong, Quang Nguyen, Gregory F. Cooper, Shyam Visweswaran, Gilles Clermont:
Outlier-based detection of unusual patient-management actions: An ICU study. J. Biomed. Informatics 64: 211-221 (2016) - [j3]Iyad Batal, Gregory F. Cooper, Dmitriy Fradkin, James H. Harrison Jr., Fabian Moerchen, Milos Hauskrecht:
An efficient pattern mining approach for event detection in multivariate temporal data. Knowl. Inf. Syst. 46(1): 115-150 (2016) - 2015
- [c13]Charmgil Hong, Iyad Batal, Milos Hauskrecht:
A Generalized Mixture Framework for Multi-label Classification. SDM 2015: 712-720 - [p1]Iyad Batal:
Temporal Data Mining for Healthcare Data. Healthcare Data Analytics 2015: 379-402 - 2014
- [c12]Charmgil Hong, Iyad Batal, Milos Hauskrecht:
A Mixtures-of-Trees Framework for Multi-Label Classification. CIKM 2014: 211-220 - [c11]Mahdi Pakdaman Naeini, Iyad Batal, Zitao Liu, Charmgil Hong, Milos Hauskrecht:
An Optimization-based Framework to Learn Conditional Random Fields for Multi-label Classification. SDM 2014: 992-1000 - [i1]Charmgil Hong, Iyad Batal, Milos Hauskrecht:
A Mixtures-of-Experts Framework for Multi-Label Classification. CoRR abs/1409.4698 (2014) - 2013
- [j2]Milos Hauskrecht, Iyad Batal, Michal Valko, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont:
Outlier detection for patient monitoring and alerting. J. Biomed. Informatics 46(1): 47-55 (2013) - [j1]Iyad Batal, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht:
A temporal pattern mining approach for classifying electronic health record data. ACM Trans. Intell. Syst. Technol. 4(4): 63:1-63:22 (2013) - [c10]Iyad Batal, Charmgil Hong, Milos Hauskrecht:
An efficient probabilistic framework for multi-dimensional classification. CIKM 2013: 2417-2422 - 2012
- [c9]Iyad Batal, Dmitriy Fradkin, James H. Harrison Jr., Fabian Moerchen, Milos Hauskrecht:
Mining recent temporal patterns for event detection in multivariate time series data. KDD 2012: 280-288 - [c8]Iyad Batal, Gregory F. Cooper, Milos Hauskrecht:
A Bayesian Scoring Technique for Mining Predictive and Non-Spurious Rules. ECML/PKDD (2) 2012: 260-276 - 2011
- [c7]Iyad Batal, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht:
A Pattern Mining Approach for Classifying Multivariate Temporal Data. BIBM 2011: 358-365 - 2010
- [c6]Iyad Batal, Milos Hauskrecht:
Constructing classification features using minimal predictive patterns. CIKM 2010: 869-878 - [c5]Iyad Batal, Milos Hauskrecht:
A Concise Representation of Association Rules Using Minimal Predictive Rules. ECML/PKDD (1) 2010: 87-102
2000 – 2009
- 2009
- [c4]Iyad Batal, Lucia Sacchi, Riccardo Bellazzi, Milos Hauskrecht:
A Temporal Abstraction Framework for Classifying Clinical Temporal Data. AMIA 2009 - [c3]Iyad Batal, Milos Hauskrecht:
Boosting KNN text classification accuracy by using supervised term weighting schemes. CIKM 2009: 2041-2044 - [c2]Iyad Batal, Lucia Sacchi, Riccardo Bellazzi, Milos Hauskrecht:
Multivariate Time Series Classification with Temporal Abstractions. FLAIRS 2009 - [c1]Iyad Batal, Milos Hauskrecht:
A Supervised Time Series Feature Extraction Technique Using DCT and DWT. ICMLA 2009: 735-739
Coauthor Index
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