Ultsch, A., & Lötsch, J. [ca. 2022]. Robust classification using posterior probability threshold computation followed by Voronoi cell based class assignment circumventing pitfalls of Bayesian analysis of biomedical data. In International Journal of Molecular Sciences [Cd]. Basel: MDPI. https://doi.org/10.3390 jms232214081

ULTSCH, Alfred und LÖTSCH, Jörn, 2022. Robust classification using posterior probability threshold computation followed by Voronoi cell based class assignment circumventing pitfalls of Bayesian analysis of biomedical data. Basel: MDPI.

Ultsch, A., und J. Lötsch. „Robust classification using posterior probability threshold computation followed by Voronoi cell based class assignment circumventing pitfalls of Bayesian analysis of biomedical data“. International Journal of Molecular Sciences, cd, MDPI, 2022, https://doi.org/10.3390 jms232214081.

Ultsch, Alfred/Lötsch, Jörn: Robust classification using posterior probability threshold computation followed by Voronoi cell based class assignment circumventing pitfalls of Bayesian analysis of biomedical data, Basel 2022.

Ultsch, A. und Lötsch, J. (2022), Robust classification using posterior probability threshold computation followed by Voronoi cell based class assignment circumventing pitfalls of Bayesian analysis of biomedical data, International Journal of Molecular Sciences, Bd. , MDPI, Basel, verfügbar unter:https://doi.org/10.3390 jms232214081.