Iyad Batal

According to our database, Iyad Batal authored at least 21 papers between 2009 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Multi-Interest-Aware User Modeling for Large-Scale Sequential Recommendations.

Jianxun Lian, Iyad Batal, Zheng Liu, Akshay Soni, Eun Yong Kang, Yajun Wang, Xing Xie

CoRR, 2021

2020

Multi-Channel Sequential Behavior Networks for User Modeling in Online Advertising.

Iyad Batal, Akshay Soni

CoRR, 2020

2016

An efficient pattern mining approach for event detection in multivariate temporal data.

Iyad Batal, Gregory F. Cooper, Dmitriy Fradkin, James H. Harrison Jr., Fabian Moerchen, Milos Hauskrecht

Knowl. Inf. Syst., 2016

Outlier-based detection of unusual patient-management actions: An ICU study.

Milos Hauskrecht, Iyad Batal, Charmgil Hong, Quang Nguyen, Gregory F. Cooper, Shyam Visweswaran, Gilles Clermont

J. Biomed. Informatics, 2016

2015

A Generalized Mixture Framework for Multi-label Classification.

Charmgil Hong, Iyad Batal, Milos Hauskrecht

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Temporal Data Mining for Healthcare Data.

Iyad Batal

Proceedings of the Healthcare Data Analytics., 2015

2014

A Mixtures-of-Experts Framework for Multi-Label Classification.

Charmgil Hong, Iyad Batal, Milos Hauskrecht

CoRR, 2014

An Optimization-based Framework to Learn Conditional Random Fields for Multi-label Classification.

Mahdi Pakdaman Naeini, Iyad Batal, Zitao Liu, Charmgil Hong, Milos Hauskrecht

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

A Mixtures-of-Trees Framework for Multi-Label Classification.

Charmgil Hong, Iyad Batal, Milos Hauskrecht

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

A temporal pattern mining approach for classifying electronic health record data.

Iyad Batal, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht

ACM Trans. Intell. Syst. Technol., 2013

Outlier detection for patient monitoring and alerting.

Milos Hauskrecht, Iyad Batal, Michal Valko, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont

J. Biomed. Informatics, 2013

An efficient probabilistic framework for multi-dimensional classification.

Iyad Batal, Charmgil Hong, Milos Hauskrecht

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

A Bayesian Scoring Technique for Mining Predictive and Non-Spurious Rules.

Iyad Batal, Gregory F. Cooper, Milos Hauskrecht

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Mining recent temporal patterns for event detection in multivariate time series data.

Iyad Batal, Dmitriy Fradkin, James H. Harrison Jr., Fabian Moerchen, Milos Hauskrecht

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011

A Pattern Mining Approach for Classifying Multivariate Temporal Data.

Iyad Batal, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2010

A Concise Representation of Association Rules Using Minimal Predictive Rules.

Iyad Batal, Milos Hauskrecht

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Constructing classification features using minimal predictive patterns.

Iyad Batal, Milos Hauskrecht

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009

A Supervised Time Series Feature Extraction Technique Using DCT and DWT.

Iyad Batal, Milos Hauskrecht

Proceedings of the International Conference on Machine Learning and Applications, 2009

Multivariate Time Series Classification with Temporal Abstractions.

Iyad Batal, Lucia Sacchi, Riccardo Bellazzi, Milos Hauskrecht

Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

Boosting KNN text classification accuracy by using supervised term weighting schemes.

Iyad Batal, Milos Hauskrecht

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

A Temporal Abstraction Framework for Classifying Clinical Temporal Data.

Iyad Batal, Lucia Sacchi, Riccardo Bellazzi, Milos Hauskrecht

Proceedings of the AMIA 2009, 2009