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2010 – 2019
- 2019
[c16]Jiahao Liu, Guixiang Ma, Fei Jiang, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin:
Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks. IEEE BigData 2019: 1163-1168- [i6]Jiahao Liu, Guixiang Ma, Fei Jiang, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin:
Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks. CoRR abs/1911.03583 (2019) - 2018
- [c15]Ye Liu, Lifang He, Bokai Cao, Philip S. Yu, Ann B. Ragin, Alex D. Leow:
Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis. AAAI 2018: 117-124 - [i5]Ye Liu, Lifang He, Bokai Cao, Philip S. Yu, Ann B. Ragin, Alex D. Leow:
Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis. CoRR abs/1806.07703 (2018) - 2017
- [c14]Guixiang Ma, Lifang He
, Chun-Ta Lu, Weixiang Shao, Philip S. Yu, Alex D. Leow, Ann B. Ragin:
Multi-view Clustering with Graph Embedding for Connectome Analysis. CIKM 2017: 127-136 - [c13]Lifang He, Chun-Ta Lu, Hao Ding, Shen Wang, Linlin Shen, Philip S. Yu, Ann B. Ragin:
Multi-way Multi-level Kernel Modeling for Neuroimaging Classification. CVPR 2017: 6846-6854 - [c12]Guixiang Ma, Chun-Ta Lu, Lifang He, Philip S. Yu, Ann B. Ragin:
Multi-view Graph Embedding with Hub Detection for Brain Network Analysis. ICDM 2017: 967-972 - [c11]Lifang He, Chun-Ta Lu, Guixiang Ma, Shen Wang, LinLin Shen, Philip S. Yu, Ann B. Ragin:
Kernelized Support Tensor Machines. ICML 2017: 1442-1451 - [c10]Shen Wang, Lifang He, Bokai Cao, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin:
Structural Deep Brain Network Mining. KDD 2017: 475-484 - [c9]Lei Zheng, Jingyuan Zhang, Bokai Cao, Philip S. Yu, Ann B. Ragin:
A novel ensemble approach on regionalized neural networks for brain disorder prediction. SAC 2017: 817-823 - [c8]Xinyue Liu, Xiangnan Kong, Ann B. Ragin:
Unified and Contrasting Graphical Lasso for Brain Network Discovery. SDM 2017: 180-188 - [i4]Guixiang Ma, Chun-Ta Lu, Lifang He, Philip S. Yu, Ann B. Ragin:
Multi-view Graph Embedding with Hub Detection for Brain Network Analysis. CoRR abs/1709.03659 (2017) - 2016
- [c7]Guixiang Ma, Lifang He, Bokai Cao, Jiawei Zhang, Philip S. Yu, Ann B. Ragin:
Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain Networks. ECML/PKDD (1) 2016: 476-492 - [c6]Jingyuan Zhang, Bokai Cao, Sihong Xie, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin:
Identifying Connectivity Patterns for Brain Diseases via Multi-side-view Guided Deep Architectures. SDM 2016: 36-44 - [c5]Guixiang Ma, Lifang He, Chun-Ta Lu, Philip S. Yu, Linlin Shen, Ann B. Ragin:
Spatio-Temporal Tensor Analysis for Whole-Brain fMRI Classification. SDM 2016: 819-827 - 2015
- [j3]Bokai Cao, Xiangnan Kong, Jingyuan Zhang, Philip S. Yu, Ann B. Ragin:
Identifying HIV-induced subgraph patterns in brain networks with side information. Brain Informatics 2(4): 211-223 (2015) - [c4]Bokai Cao, Xiangnan Kong, Jingyuan Zhang, Philip S. Yu, Ann B. Ragin:
Mining Brain Networks Using Multiple Side Views for Neurological Disorder Identification. ICDM 2015: 709-714 - [i3]Bokai Cao, Xiangnan Kong, Jingyuan Zhang, Philip S. Yu, Ann B. Ragin:
Mining Brain Networks using Multiple Side Views for Neurological Disorder Identification. CoRR abs/1508.04554 (2015) - 2014
- [c3]Bokai Cao, Lifang He, Xiangnan Kong, Philip S. Yu, Zhifeng Hao, Ann B. Ragin:
Tensor-Based Multi-view Feature Selection with Applications to Brain Diseases. ICDM 2014: 40-49 - [c2]Lifang He, Xiangnan Kong, Philip S. Yu, Xiaowei Yang, Ann B. Ragin, Zhifeng Hao:
DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages. SDM 2014: 127-135 - [i2]Lifang He, Xiangnan Kong, Philip S. Yu, Ann B. Ragin, Zhifeng Hao, Xiaowei Yang:
DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages. CoRR abs/1407.8289 (2014) - 2013
- [c1]Xiangnan Kong, Ann B. Ragin, Xue Wang, Philip S. Yu:
Discriminative Feature Selection for Uncertain Graph Classification. SDM 2013: 82-93 - [i1]Xiangnan Kong, Philip S. Yu, Xue Wang, Ann B. Ragin:
Discriminative Feature Selection for Uncertain Graph Classification. CoRR abs/1301.6626 (2013) - 2011
- [j2]Xue Wang, Paul Foryt, Renee Ochs, Jae-Hoon Chung, Ying Wu, Todd B. Parrish, Ann B. Ragin:
Abnormalities in Resting-State Functional Connectivity in Early Human Immunodeficiency Virus Infection. Brain Connect. 1(3): 207-217 (2011) - 2010
- [j1]Kelly H. Zou, Hongyan Du, Shawn Sidharthan, Lisa M. DeTora, Yunmei Chen, Ann B. Ragin, Robert R. Edelman, Ying Wu:
Statistical Evaluations of the Reproducibility and Reliability of 3-Tesla High Resolution Magnetization Transfer Brain Images: A Pilot Study on Healthy Subjects. Int. J. Biomed. Imaging 2010: 618747:1-618747:11 (2010)
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