WU, Hongmin, GUAN, Yisheng und ROJAS, Juan, 2019. A Latent State-Based Multimodal Execution Monitor with Anomaly Detection and Classification for Robot Introspection. Applied Sciences (2076-3417). 15 März 2019. Vol. 9, no. 6, p. 1072-1100. DOI 10.3390/app9061072.
Elsevier - Harvard (with titles)Wu, H., Guan, Y., Rojas, J., 2019. A Latent State-Based Multimodal Execution Monitor with Anomaly Detection and Classification for Robot Introspection. Applied Sciences (2076-3417) 9, 1072-1100. https://doi.org/10.3390/app9061072
American Psychological Association 7th editionWu, H., Guan, Y., & Rojas, J. (2019). A Latent State-Based Multimodal Execution Monitor with Anomaly Detection and Classification for Robot Introspection. Applied Sciences (2076-3417), 9(6), 1072-1100. https://doi.org/10.3390/app9061072
Springer - Basic (author-date)Wu H, Guan Y, Rojas J (2019) A Latent State-Based Multimodal Execution Monitor with Anomaly Detection and Classification for Robot Introspection.. Applied Sciences (2076-3417) 9:1072-1100. https://doi.org/10.3390/app9061072
Juristische Zitierweise (Stüber) (Deutsch)Wu, Hongmin/ Guan, Yisheng/ Rojas, Juan, A Latent State-Based Multimodal Execution Monitor with Anomaly Detection and Classification for Robot Introspection., Applied Sciences (2076-3417) 2019, 1072-1100.