Highly effective end-to-end single-to-multichannel feature fusion and ensemble classification to decode emotional secretes from small-scale spontaneous facial micro-expressions

Md. Sajjatul Islam, Yongsheng Sang, Adam A. Q. Mohammed, Lei Yuan, Jiancheng Lv 0001. Highly effective end-to-end single-to-multichannel feature fusion and ensemble classification to decode emotional secretes from small-scale spontaneous facial micro-expressions. J. King Saud Univ. Comput. Inf. Sci., 35(8):101653, September 2023. [doi]

@article{IslamSMYL23,
  title = {Highly effective end-to-end single-to-multichannel feature fusion and ensemble classification to decode emotional secretes from small-scale spontaneous facial micro-expressions},
  author = {Md. Sajjatul Islam and Yongsheng Sang and Adam A. Q. Mohammed and Lei Yuan and Jiancheng Lv 0001},
  year = {2023},
  month = {September},
  doi = {10.1016/j.jksuci.2023.101653},
  url = {https://doi.org/10.1016/j.jksuci.2023.101653},
  researchr = {https://researchr.org/publication/IslamSMYL23},
  cites = {0},
  citedby = {0},
  journal = {J. King Saud Univ. Comput. Inf. Sci.},
  volume = {35},
  number = {8},
  pages = {101653},
}