A Hybrid Approach for Incorporating Deep Visual Features and Side Channel Information with Applications to AMD Detection

Arnaldo Horta, Neil Joshi, Michael Pekala, Katia D. Pacheco, Jun Kong, Neil M. Bressler, David E. Freund, Philippe Burlina. A Hybrid Approach for Incorporating Deep Visual Features and Side Channel Information with Applications to AMD Detection. In Xuewen Chen, Bo Luo, Feng Luo, Vasile Palade, M. Arif Wani, editors, 16th IEEE International Conference on Machine Learning and Applications, ICMLA 2017, Cancun, Mexico, December 18-21, 2017. pages 716-720, IEEE, 2017. [doi]

@inproceedings{HortaJPPKBFB17,
  title = {A Hybrid Approach for Incorporating Deep Visual Features and Side Channel Information with Applications to AMD Detection},
  author = {Arnaldo Horta and Neil Joshi and Michael Pekala and Katia D. Pacheco and Jun Kong and Neil M. Bressler and David E. Freund and Philippe Burlina},
  year = {2017},
  doi = {10.1109/ICMLA.2017.00-75},
  url = {https://doi.org/10.1109/ICMLA.2017.00-75},
  researchr = {https://researchr.org/publication/HortaJPPKBFB17},
  cites = {0},
  citedby = {0},
  pages = {716-720},
  booktitle = {16th IEEE International Conference on Machine Learning and Applications, ICMLA 2017, Cancun, Mexico, December 18-21, 2017},
  editor = {Xuewen Chen and Bo Luo and Feng Luo and Vasile Palade and M. Arif Wani},
  publisher = {IEEE},
  isbn = {978-1-5386-1418-1},
}