Label-Alignment-Based Multi-Task Feature Selection for Multimodal Classification of Brain Disease

Chen Zu, Biao Jie, Songcan Chen, Daoqiang Zhang. Label-Alignment-Based Multi-Task Feature Selection for Multimodal Classification of Brain Disease. In Irina Rish, Georg Langs, Leila Wehbe, Guillermo A. Cecchi, Kai-min Kevin Chang, Brian Murphy, editors, Machine Learning and Interpretation in Neuroimaging - 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers. Volume 9444 of Lecture Notes in Computer Science, pages 51-59, Springer, 2014. [doi]

@inproceedings{ZuJCZ14,
  title = {Label-Alignment-Based Multi-Task Feature Selection for Multimodal Classification of Brain Disease},
  author = {Chen Zu and Biao Jie and Songcan Chen and Daoqiang Zhang},
  year = {2014},
  doi = {10.1007/978-3-319-45174-9_6},
  url = {http://dx.doi.org/10.1007/978-3-319-45174-9_6},
  researchr = {https://researchr.org/publication/ZuJCZ14},
  cites = {0},
  citedby = {0},
  pages = {51-59},
  booktitle = {Machine Learning and Interpretation in Neuroimaging - 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers},
  editor = {Irina Rish and Georg Langs and Leila Wehbe and Guillermo A. Cecchi and Kai-min Kevin Chang and Brian Murphy},
  volume = {9444},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-45173-2},
}