Ann B. Ragin

According to our database, Ann B. Ragin authored at least 19 papers between 2010 and 2019.

Collaborative distances:

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

2019

Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks.

Jiahao Liu, Guixiang Ma, Fei Jiang, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis.

Ye Liu, Lifang He, Bokai Cao, Philip S. Yu, Ann B. Ragin, Alex D. Leow

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Unified and Contrasting Graphical Lasso for Brain Network Discovery.

Xinyue Liu, Xiangnan Kong, Ann B. Ragin

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

A novel ensemble approach on regionalized neural networks for brain disorder prediction.

Lei Zheng, Jingyuan Zhang, Bokai Cao, Philip S. Yu, Ann B. Ragin

Proceedings of the Symposium on Applied Computing, 2017

Structural Deep Brain Network Mining.

Shen Wang, Lifang He, Bokai Cao, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Kernelized Support Tensor Machines.

Lifang He, Chun-Ta Lu, Guixiang Ma, Shen Wang, LinLin Shen, Philip S. Yu, Ann B. Ragin

Proceedings of the 34th International Conference on Machine Learning, 2017

Multi-view Graph Embedding with Hub Detection for Brain Network Analysis.

Guixiang Ma, Chun-Ta Lu, Lifang He, Philip S. Yu, Ann B. Ragin

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Multi-way Multi-level Kernel Modeling for Neuroimaging Classification.

Lifang He, Chun-Ta Lu, Hao Ding, Shen Wang, Linlin Shen, Philip S. Yu, Ann B. Ragin

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Multi-view Clustering with Graph Embedding for Connectome Analysis.

Guixiang Ma, Lifang He, Chun-Ta Lu, Weixiang Shao, Philip S. Yu, Alex D. Leow, Ann B. Ragin

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Identifying Connectivity Patterns for Brain Diseases via Multi-side-view Guided Deep Architectures.

Jingyuan Zhang, Bokai Cao, Sihong Xie, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Spatio-Temporal Tensor Analysis for Whole-Brain fMRI Classification.

Guixiang Ma, Lifang He, Chun-Ta Lu, Philip S. Yu, Linlin Shen, Ann B. Ragin

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain Networks.

Guixiang Ma, Lifang He, Bokai Cao, Jiawei Zhang, Philip S. Yu, Ann B. Ragin

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015

Identifying HIV-induced subgraph patterns in brain networks with side information.

Bokai Cao, Xiangnan Kong, Jingyuan Zhang, Philip S. Yu, Ann B. Ragin

Brain Informatics, 2015

Mining Brain Networks Using Multiple Side Views for Neurological Disorder Identification.

Bokai Cao, Xiangnan Kong, Jingyuan Zhang, Philip S. Yu, Ann B. Ragin

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014

DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages.

Lifang He, Xiangnan Kong, Philip S. Yu, Xiaowei Yang, Ann B. Ragin, Zhifeng Hao

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

Tensor-Based Multi-view Feature Selection with Applications to Brain Diseases.

Bokai Cao, Lifang He, Xiangnan Kong, Philip S. Yu, Zhifeng Hao, Ann B. Ragin

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

2013

Discriminative Feature Selection for Uncertain Graph Classification.

Xiangnan Kong, Ann B. Ragin, Xue Wang, Philip S. Yu

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

2011

Abnormalities in Resting-State Functional Connectivity in Early Human Immunodeficiency Virus Infection.

Xue Wang, Paul Foryt, Renee Ochs, Jae-Hoon Chung, Ying Wu, Todd B. Parrish, Ann B. Ragin

Brain Connect., 2011

2010

Statistical Evaluations of the Reproducibility and Reliability of 3-Tesla High Resolution Magnetization Transfer Brain Images: A Pilot Study on Healthy Subjects.

Kelly H. Zou, Hongyan Du, Shawn Sidharthan, Lisa M. DeTora, Yunmei Chen, Ann B. Ragin, Robert R. Edelman, Ying Wu

Int. J. Biomed. Imaging, 2010