东北大学主页平台曹鹏--Home-- Xiaoli Liu, Peng Cao*, André R. Goncalvesd, Dazhe Zhao, Arindam Banerjee. Modeling Alzheimer’s Disease Progression with Fused Laplacian Sparse Group Lasso[J]. ACM Transactions on Knowledge Discovery from Data (TKDD), 2018, 12(6): 65.

曹鹏

Professor

· 论文成果

Current position: Home > Scientific Research > 论文成果

Xiaoli Liu, Peng Cao*, André R. Goncalvesd, Dazhe Zhao, Arindam Banerjee. Modeling Alzheimer’s Disease Progression with Fused Laplacian Sparse Group Lasso[J]. ACM Transactions on Knowledge Discovery from Data (TKDD), 2018, 12(6): 65.

Release time:2021-07-14Hits:

Title of Paper: Xiaoli Liu, Peng Cao*, André R. Goncalvesd, Dazhe Zhao, Arindam Banerjee. Modeling Alzheimer’s Disease Progression with Fused Laplacian Sparse Group Lasso[J]. ACM Transactions on Knowledge Discovery from Data (TKDD), 2018, 12(6): 65.

Translation or Not: No

Prev One:: Xiaoli Liu, Peng Cao*, Jinzhu Yang, Dazhe Zhao. Linearized and Kernelized Sparse Multitask Learning for Predicting Cognitive Outcomes in Alzheimer’s Disease[J]. Computational and mathematical methods in medicine. 2018, pp. 1-23..

Next One:: Peng Cao*, Dazhe Zhao and Osmar Zaiane, A PSO-based Cost-Sensitive Neural Network for Imbalanced Data Classification[C]. Biologically Inspired Techniques for Data Mining Workshop (BDM'13), in conjunction with PAKDD 2013, Gold Coast, Australia, April 14, 2013 .

Home

Scientific Research

Teaching Research

Awards and Honours

Enrollment Information

Student Information

My Album

Blog

More

· 论文成果

Xiaoli Liu, Peng Cao*, André R. Goncalvesd, Dazhe Zhao, Arindam Banerjee. Modeling Alzheimer’s Disease Progression with Fused Laplacian Sparse Group Lasso[J]. ACM Transactions on Knowledge Discovery from Data (TKDD), 2018, 12(6): 65.