American Psychological Association 6th edition

Prusty, S., Patnaik, S., Dash, S. K., Prusty, S. G. P., Rautaray, J., & Sahoo, G. (2024). Predicting cervical cancer risk probabilities using advanced H20 Auto ML and local interpretable model-agnostic explanation techniques. Peer J Computer Science, 1-29. https://doi.org/10.7717/peerj-cs.1916

ISO-690 (author-date, English)

PRUSTY, Sashikanta, PATNAIK, Srikanta, DASH, Sujit Kumar, PRUSTY, Sushree Gayatri Priyadarsini, RAUTARAY, Jyotirmayee und SAHOO, Ghanashyam, 2024. Predicting cervical cancer risk probabilities using advanced H20 Auto ML and local interpretable model-agnostic explanation techniques. Peer J Computer Science. 1 Mai 2024. P. 1-29. DOI 10.7717/peerj-cs.1916.

Modern Language Association 9th edition

Prusty, S., S. Patnaik, S. K. Dash, S. G. P. Prusty, J. Rautaray, und G. Sahoo. „Predicting Cervical Cancer Risk Probabilities Using Advanced H20 Auto ML and Local Interpretable Model-Agnostic Explanation Techniques.“. Peer J Computer Science, Mai 2024, S. 1-29, https://doi.org/10.7717/peerj-cs.1916.

Mohr Siebeck - Recht (Deutsch - Österreich)

Prusty, Sashikanta/Patnaik, Srikanta/Dash, Sujit Kumar/Prusty, Sushree Gayatri Priyadarsini/Rautaray, Jyotirmayee/Sahoo, Ghanashyam: Predicting cervical cancer risk probabilities using advanced H20 Auto ML and local interpretable model-agnostic explanation techniques., Peer J Computer Science 2024, 1-29.

Emerald - Harvard

Prusty, S., Patnaik, S., Dash, S.K., Prusty, S.G.P., Rautaray, J. und Sahoo, G. (2024), „Predicting cervical cancer risk probabilities using advanced H20 Auto ML and local interpretable model-agnostic explanation techniques.“, Peer J Computer Science, S. 1-29.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.