Investigating the effects of lossy compression on age, gender and alcoholic information in EEG signals

Binh Nguyen, Wanli Ma, Dat Tran. Investigating the effects of lossy compression on age, gender and alcoholic information in EEG signals. In Imre J. Rudas, János Csirik, Carlos Toro 0001, János Botzheim, Robert J. Howlett, Lakhmi C. Jain, editors, Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, Budapest, Hungary, 4-6 September 2019. Volume 159 of Procedia Computer Science, pages 231-240, Elsevier, 2019. [doi]

@inproceedings{NguyenMT19,
  title = {Investigating the effects of lossy compression on age, gender and alcoholic information in EEG signals},
  author = {Binh Nguyen and Wanli Ma and Dat Tran},
  year = {2019},
  doi = {10.1016/j.procs.2019.09.178},
  url = {https://doi.org/10.1016/j.procs.2019.09.178},
  researchr = {https://researchr.org/publication/NguyenMT19},
  cites = {0},
  citedby = {0},
  pages = {231-240},
  booktitle = {Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, Budapest, Hungary, 4-6 September 2019},
  editor = {Imre J. Rudas and János Csirik and Carlos Toro 0001 and János Botzheim and Robert J. Howlett and Lakhmi C. Jain},
  volume = {159},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}