Caraccioli, Pascal, Mordensky, Stanley, DeAngelo, Jacob, Burns, Erick, and Lipor, John J. IMPROVING SUPERVISED MACHINE LEARNING PREDICTIONS FOR HYDROTHERMAL FAVORABILITY BY SEPARATING SIGNALS IN ELEVATION DATA. Retrieved from https://par.nsf.gov/biblio/10615496. Web. doi:10.1130/abs/2024CD-399311.

Caraccioli, Pascal, Mordensky, Stanley, DeAngelo, Jacob, Burns, Erick, & Lipor, John J. IMPROVING SUPERVISED MACHINE LEARNING PREDICTIONS FOR HYDROTHERMAL FAVORABILITY BY SEPARATING SIGNALS IN ELEVATION DATA. Retrieved from https://par.nsf.gov/biblio/10615496. https://doi.org/10.1130/abs/2024CD-399311

Caraccioli, Pascal, Mordensky, Stanley, DeAngelo, Jacob, Burns, Erick, and Lipor, John J. "IMPROVING SUPERVISED MACHINE LEARNING PREDICTIONS FOR HYDROTHERMAL FAVORABILITY BY SEPARATING SIGNALS IN ELEVATION DATA". Country unknown/Code not available: Geological Society of America. https://doi.org/10.1130/abs/2024CD-399311. https://par.nsf.gov/biblio/10615496.

@article{osti_10615496,
place = {Country unknown/Code not available}, title = {IMPROVING SUPERVISED MACHINE LEARNING PREDICTIONS FOR HYDROTHERMAL FAVORABILITY BY SEPARATING SIGNALS IN ELEVATION DATA}, url = {https://par.nsf.gov/biblio/10615496}, DOI = {10.1130/abs/2024CD-399311}, abstractNote = {}, journal = {}, publisher = {Geological Society of America}, author = {Caraccioli, Pascal and Mordensky, Stanley and DeAngelo, Jacob and Burns, Erick and Lipor, John J}, }