The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


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Abstract: Detecting Anomalous Grains in Scientific Ocean Drilling Legacy Cores – Potential and Pitfalls of a New Machine Learning Based Detection and Classification Approach (AGU25)

Detecting Anomalous Grains in Scientific Ocean Drilling Legacy Cores – Potential and Pitfalls of a New Machine Learning Based Detection and Classification Approach

Gerald Auer1, David De Vleeschouwer2, Anna Joy Drury3, Arisa Seki4, Yusuke Kubo5, Minoru Ikehara6, Junichiro Kuroda7, Or Bialik8, Beth Anne Christensen9, Jing Lyu10, Theresa Nohl11, Tamara Hechemer1, Natsumi Okutsu12, An-Sheng Lee13, Werner E. Piller1, Xabier Puentes-Jorge1 and Jumpei Yoshioka14, (1)University of Graz, Department of Earth Sciences - NAWI Graz Geocenter, Graz, Austria, (2)University of Münster, Institute of Geology and Paleontology, Münster, Germany, (3)University of Leicester, Department of Geography, Geology, and the Environment, Leicester, United Kingdom, (4)Fukada Geological Institute, Tokyo, Japan, (5)JAMSTEC, Kochi Core Center, Nankoku, Japan, (6)Kochi University, Center of Advanced Marine Core Research, Kochi, Japan, (7)JAMSTEC, Yokosuka, Japan, (8)University of Münster, Münster, Germany, (9)Adelphi University, Garden City, NJ, United States, (10)University of Münster, Institute of Geology and Palaeontology, Münster, Germany, (11)University of Vienna, Institute of Palaeontology, Vienna, Austria, (12)Atmosphere and Ocean Research Institute University of Tokyo, Tokyo, Japan, (13)Kochi University, Marine Core Research Institute, Kochi, Japan, (14)NIPR National Institute of Polar Research, Research Organization of Information and Systems, Tokyo, Japan