Cite
Machine learning based anomaly detection for sedimentological data: Application to a Holocene multi-proxy paleoenvironmental reconstruction from Laguna Boquita, Jalisco, Mexico.
MLA
Bianchette, Thomas A., et al. “Machine Learning Based Anomaly Detection for Sedimentological Data: Application to a Holocene Multi-Proxy Paleoenvironmental Reconstruction from Laguna Boquita, Jalisco, Mexico.” Marine Geology, vol. 464, Oct. 2023, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.margeo.2023.107125.
APA
Bianchette, T. A., Pandey, V., Mollan, C., Hall, S., McCloskey, T. A., & Liu, K. (2023). Machine learning based anomaly detection for sedimentological data: Application to a Holocene multi-proxy paleoenvironmental reconstruction from Laguna Boquita, Jalisco, Mexico. Marine Geology, 464, N.PAG. https://doi.org/10.1016/j.margeo.2023.107125
Chicago
Bianchette, Thomas A., Vijitashwa Pandey, Calahan Mollan, Sawyer Hall, Terrence A. McCloskey, and Kam-biu Liu. 2023. “Machine Learning Based Anomaly Detection for Sedimentological Data: Application to a Holocene Multi-Proxy Paleoenvironmental Reconstruction from Laguna Boquita, Jalisco, Mexico.” Marine Geology 464 (October): N.PAG. doi:10.1016/j.margeo.2023.107125.