Brandmayr, G., Hartmann, M., Fürbass, F., Matz, G., Samwald, M., Kluge, T., & Dorffner, G. (2022). Relational local electroencephalography representations for sleep scoring. Neural Networks, 154, 310–322. https://doi.org/10.1016/j.neunet.2022.07.020 ( reposiTUm)

Moser, B., Dorffner, G., Eiter, T., Faber, W., Klambauer, G., Legenstein, R., Nessler, B., Polleres, A., & Woltran, S. (2020). Österreichische AI Strategie aus Sicht der Wissenschaft. OCG Journal, 01–02, 14–17. http://hdl.handle.net/20.500.12708/141528 ( reposiTUm)

Prahm, C., Schulz, A., Paaßen, B., Schoisswohl, J., Kaniusas, E., Dorffner, G., Hammer, B., & Aszmann, O. (2019). Counteracting electrode shifts in upper-limb prosthesis control via transfer learning. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27(5), 956–962. https://doi.org/10.1109/tnsre.2019.2907200 ( reposiTUm)

Prahm, C., Eckstein, K., Ortiz-Catalan, M., Dorffner, G., Kaniusas, E., & Aszmann, O. C. (2016). Combining two open source tools for neural computation (BioPatRec and Netlab) improves movement classification for prosthetic control. BMC Research Notes. https://doi.org/10.1186/s13104-016-2232-y ( reposiTUm)