Feature Interpretation Using Generative Adversarial Networks (FIGAN): A Framework for Visualizing a CNN's Learned Features

Kyle Hasenstab, Justin Huynh, Samira Masoudi, Guilherme M. Cunha, Michael J. Pazzani, Albert Hsiao. Feature Interpretation Using Generative Adversarial Networks (FIGAN): A Framework for Visualizing a CNN's Learned Features. IEEE Access, 11:5144-5160, 2023. [doi]

@article{HasenstabHMCPH23,
  title = {Feature Interpretation Using Generative Adversarial Networks (FIGAN): A Framework for Visualizing a CNN's Learned Features},
  author = {Kyle Hasenstab and Justin Huynh and Samira Masoudi and Guilherme M. Cunha and Michael J. Pazzani and Albert Hsiao},
  year = {2023},
  doi = {10.1109/ACCESS.2023.3236575},
  url = {https://doi.org/10.1109/ACCESS.2023.3236575},
  researchr = {https://researchr.org/publication/HasenstabHMCPH23},
  cites = {0},
  citedby = {0},
  journal = {IEEE Access},
  volume = {11},
  pages = {5144-5160},
}