Jumping in at the deep end: how to experiment with machine learning in post-production software

Dan Ring, Johanna Barbier, Guillaume Gales, Ben Kent, Sebastian Lutz. Jumping in at the deep end: how to experiment with machine learning in post-production software. In Sandy Kao, Barbara Balents, Trina M. Roy, Rachel Rose, editors, DigiPro '19: The Digital Production Symposium, Los Angeles, California, USA, 27 July 2019. ACM, 2019. [doi]

@inproceedings{RingBGKL19,
  title = {Jumping in at the deep end: how to experiment with machine learning in post-production software},
  author = {Dan Ring and Johanna Barbier and Guillaume Gales and Ben Kent and Sebastian Lutz},
  year = {2019},
  doi = {10.1145/3329715.3338880},
  url = {https://doi.org/10.1145/3329715.3338880},
  researchr = {https://researchr.org/publication/RingBGKL19},
  cites = {0},
  citedby = {0},
  booktitle = {DigiPro '19: The Digital Production Symposium, Los Angeles, California, USA, 27 July 2019},
  editor = {Sandy Kao and Barbara Balents and Trina M. Roy and Rachel Rose},
  publisher = {ACM},
  isbn = {978-1-4503-6799-8},
}