Japanese

Solid Earth Sciences (S)
Session Sub-categoryComplex & General (CG)
Session IDS-CG50
Session Title Driving Solid Earth Science through Machine Learning
Short Title Machine Learning in Solid Earth Sciences
Date & Time Oral
Session		 PM2 Sun, 26 MAY & AM1-PM2 Mon, 27 MAY
On-site
Poster
Coretime		 PM3 Sun, 26 MAY
Main Convener Name Hisahiko Kubo
Affiliation National Research Institute for Earth Science and Disaster Resilience
Co-Convener 1 Name Yuki Kodera
Affiliation Meteorological Research Institute, Japan Meteorological Agency
Co-Convener 2 Name Makoto Naoi
Affiliation Kyoto University
Co-Convener 3 Name Keisuke Yano
Affiliation The Institute of Statistical Mathematics
Session Language J
Scope (Session Description) Machine learning (ML) has brought innovations and remarkable results in various science fields including solid earth science. This session provides an opportunity to inspire each other for future developments by bringing studies of ML applications in various fields including solid earth science. We invite a wide range of presentations on ML and related research, from the budding to the more advanced.
Presentation Format Oral and Poster
Collaboration Joint with -
Co-sponsoring
Society		 -