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Masoumeh T. Izadi
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2010 – 2019
- 2015
- [j3]Nastaran Jafarpour, Masoumeh T. Izadi, Doina Precup, David L. Buckeridge:
Quantifying the determinants of outbreak detection performance through simulation and machine learning. J. Biomed. Informatics 53: 180-187 (2015) - 2013
- [c19]Nastaran Jafarpour, Doina Precup, Masoumeh T. Izadi, David L. Buckeridge:
Using Hierarchical Mixture of Experts Model for Fusion of Outbreak Detection Methods. AMIA 2013 - [c18]Arian Hosseinzadeh, Masoumeh T. Izadi, Aman Verma, Doina Precup, David L. Buckeridge:
Assessing the Predictability of Hospital Readmission Using Machine Learning. IAAI 2013: 1532-1538 - [c17]Arash Shaban-Nejad, Christian Jauvin, Maxime Lavigne, Masoumeh T. Izadi, Luke Mondor, Anya Okhmatovskaia, David L. Buckeridge:
PopHR: An Integrated Semantic Framework for Population Health Surveillance. ICBO 2013: 118 - [c16]Arash Shaban-Nejad, Anya Okhmatovskaia, Masoumeh T. Izadi, Nona Naderi, Luke Mondor, Christian Jauvin, David L. Buckeridge:
PHIO: A Knowledge Base for Interpretation and Calculation of Public Health Indicators. MedInfo 2013: 1207 - 2012
- [j2]David L. Buckeridge, Masoumeh T. Izadi, Arash Shaban-Nejad, Luke Mondor, Christian Jauvin, Laurette Dubé, Yeona Jang, Robyn Tamblyn:
An infrastructure for real-time population health assessment and monitoring. IBM J. Res. Dev. 56(5): 2 (2012) - [c15]Arian Hosseinzadeh, Masoumeh T. Izadi, Doina Precup, David L. Buckeridge:
Mining Administrative Data to Predict Falls in the Elderly Population. Canadian AI 2012: 305-311 - [c14]Arash Shaban-Nejad, Yu Ma, Masoumeh T. Izadi, Laurette Dubé, Luke Mondor, David L. Buckeridge:
A knowledge-based architecture for integrating and interpreting population health data. DG.O 2012: 285-286
2000 – 2009
- 2009
- [j1]Hsinchun Chen, Daniel Zeng, David L. Buckeridge, Masoumeh T. Izadi, Aman Verma, Anna Okhmatovskaia, Xiaohua Hu, Xiajiong Shen, Zhidong Cao, Fei-Yue Wang, Xiaolong Zheng, Quanyi Wang:
AI for Global Disease Surveillance. IEEE Intell. Syst. 24(6): 66-82 (2009) - [c13]Masoumeh T. Izadi, David L. Buckeridge, Anna Okhmatovskaia, Samson W. Tu, Martin J. O'Connor, Csongor Nyulas, Mark A. Musen:
A Bayesian Network Model for Analysis of Detection Performance in Surveillance Systems. AMIA 2009 - [c12]Stéphane Ross, Masoumeh T. Izadi, Mark Mercer, David L. Buckeridge:
Sensitivity Analysis of POMDP Value Functions. ICMLA 2009: 317-323 - 2008
- [c11]Masoumeh T. Izadi, Doina Precup:
Point-Based Planning for Predictive State Representations. Canadian AI 2008: 126-137 - [c10]Abdeslam Boularias, Masoumeh T. Izadi, Brahim Chaib-draa:
State Space Compression with Predictive Representations. FLAIRS 2008: 41-46 - [c9]Abdeslam Boularias, Masoumeh T. Izadi, Brahim Chaib-draa:
Prediction-Directed Compression of POMDPs. ICMLA 2008: 99-105 - 2007
- [c8]Masoumeh T. Izadi, David L. Buckeridge:
Optimizing Anthrax Outbreak Detection Using Reinforcement Learning. AAAI 2007: 1781-1786 - [c7]Masoumeh T. Izadi, David L. Buckeridge:
Decision Theoretic Analysis of Improving Epidemic Detection. AMIA 2007 - 2006
- [c6]Masoumeh T. Izadi, Doina Precup, Danielle Azar:
Belief Selection in Point-Based Planning Algorithms for POMDPs. Canadian AI 2006: 383-394 - 2005
- [c5]Masoumeh T. Izadi, Doina Precup:
Using Rewards for Belief State Updates in Partially Observable Markov Decision Processes. ECML 2005: 593-600 - [c4]Masoumeh T. Izadi, Doina Precup:
Model minimization by linear PSR. IJCAI 2005: 1749-1750 - [c3]Masoumeh T. Izadi, Ajit V. Rajwade, Doina Precup:
Using core beliefs for point-based value iteration. IJCAI 2005: 1751-1753 - [c2]Masoumeh T. Izadi:
Sequential Decision Making Under Uncertainty. SARA 2005: 360-361 - 2003
- [c1]Masoumeh T. Izadi, Doina Precup:
A Planning Algorithm for Predictive State Representations. IJCAI 2003: 1520-1521
Coauthor Index
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