APA (7th ed.) Citation

Overton, T., Tucker, A., James, T., Hristozov, D., Goos, G., Hartmanis, J., . . . Hüllermeier, E. (2022). dunXai: DO-U-Net for Explainable (Multi-label) Image Classification : Applications to Biomedical Images. Advances in Intelligent Data Analysis XX : 20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20–22, 2022, Proceedings, 13205, 212. https://doi.org/10.1007/978-3-031-01333-1_17

Chicago Style (17th ed.) Citation

Overton, Toyah, et al. "DunXai: DO-U-Net for Explainable (Multi-label) Image Classification : Applications to Biomedical Images." Advances in Intelligent Data Analysis XX : 20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20–22, 2022, Proceedings 13205 (2022): 212. https://doi.org/10.1007/978-3-031-01333-1_17.

MLA (9th ed.) Citation

Overton, Toyah, et al. "DunXai: DO-U-Net for Explainable (Multi-label) Image Classification : Applications to Biomedical Images." Advances in Intelligent Data Analysis XX : 20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20–22, 2022, Proceedings, vol. 13205, 2022, p. 212, https://doi.org/10.1007/978-3-031-01333-1_17.