American Psychological Association 6th edition

T J, S. J., Jacob, I. J., & Mandava, A. K. (2023). D-Res Net-PVKELM: deep neural network and paragraph vector based kernel extreme machine learning model for multimodal depression analysis. Multimedia Tools and Applications: An International Journal, 1-32. https://doi.org/10.1007/s11042-023-14351-y

ISO-690 (author-date, English)

T J, Swasthika Jain, JACOB, I. Jeena und MANDAVA, Ajay Kumar, 2023. D-Res Net-PVKELM: deep neural network and paragraph vector based kernel extreme machine learning model for multimodal depression analysis. Multimedia Tools and Applications: An International Journal. 11 Januar 2023. P. 1-32. DOI 10.1007/s11042-023-14351-y.

Modern Language Association 9th edition

T J, S. J., I. J. Jacob, und A. K. Mandava. „D-Res Net-PVKELM: Deep Neural Network and Paragraph Vector Based Kernel Extreme Machine Learning Model for Multimodal Depression Analysis“. Multimedia Tools and Applications: An International Journal, Januar 2023, S. 1-32, https://doi.org/10.1007/s11042-023-14351-y.

Mohr Siebeck - Recht (Deutsch - Österreich)

T J, Swasthika Jain/Jacob, I. Jeena/Mandava, Ajay Kumar: D-Res Net-PVKELM: deep neural network and paragraph vector based kernel extreme machine learning model for multimodal depression analysis, Multimedia Tools and Applications: An International Journal 2023, 1-32.

Emerald - Harvard

T J, S.J., Jacob, I.J. und Mandava, A.K. (2023), „D-Res Net-PVKELM: deep neural network and paragraph vector based kernel extreme machine learning model for multimodal depression analysis“, Multimedia Tools and Applications: An International Journal, S. 1-32.

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