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  • Presentation | PP31C: Applying Machine Learning to Better Reconstruct and Understand Paleoclimates and Paleoecology Poster
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  • PP31C-1046: Detecting Anomalous Grains in Scientific Ocean Drilling Legacy Cores – Potential and Pitfalls of a New Machine Learning Based Detection and Classification Approach
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  • Board 1046‚ Hall EFG (Poster Hall)
    NOLA CC
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Author(s):
Gerald Auer, University of Graz (First Author, Presenting Author)
David De Vleeschouwer, University of Münster
Anna Joy Drury, University of Leicester
Arisa Seki, Fukada Geological Institute
Yusuke Kubo, JAMSTEC
Minoru Ikehara, Kochi University
Junichiro Kuroda, JAMSTEC
Or Bialik, University of Münster
Beth Christensen, Adelphi University
Jing Lyu, University of Münster
Theresa Nohl, University of Vienna
Tamara Hechemer, University of Graz
Natsumi Okutsu, Atmosphere and Ocean Research Institute University of Tokyo
An-Sheng Lee, Kochi University
Werner E. Piller, University of Graz
Xabier Puentes-Jorge, University of Graz
Jumpei Yoshioka, NIPR National Institute of Polar Research

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