Shigeru Maya, Kai Morino, Kenji Yamanishi. Predicting glaucoma progression using multi-task learning with heterogeneous features. In Jimmy Lin, Jian Pei, Xiaohua Hu, Wo Chang, Raghunath Nambiar, Charu Aggarwal, Nick Cercone, Vasant Honavar, Jun Huan, Bamshad Mobasher, Saumyadipta Pyne, editors, 2014 IEEE International Conference on Big Data, Big Data 2014, Washington, DC, USA, October 27-30, 2014. pages 261-270, IEEE, 2014. [doi]
@inproceedings{MayaMY14,
title = {Predicting glaucoma progression using multi-task learning with heterogeneous features},
author = {Shigeru Maya and Kai Morino and Kenji Yamanishi},
year = {2014},
doi = {10.1109/BigData.2014.7004241},
url = {http://dx.doi.org/10.1109/BigData.2014.7004241},
researchr = {https://researchr.org/publication/MayaMY14},
cites = {0},
citedby = {0},
pages = {261-270},
booktitle = {2014 IEEE International Conference on Big Data, Big Data 2014, Washington, DC, USA, October 27-30, 2014},
editor = {Jimmy Lin and Jian Pei and Xiaohua Hu and Wo Chang and Raghunath Nambiar and Charu Aggarwal and Nick Cercone and Vasant Honavar and Jun Huan and Bamshad Mobasher and Saumyadipta Pyne},
publisher = {IEEE},
isbn = {978-1-4799-5665-4},
}