GeoAI and Deep Learning Symposium: Representing geographic locations in AI models: Methods and Applications
Type: Panel
Recording Plan:
Theme:
Curated Track:
Sponsor Group(s):
Geographic Information Science and Systems Specialty Group, Spatial Analysis and Modeling Specialty Group
Organizer(s):
Yingjie Hu University At Buffalo
Song Gao University of Wisconsin - Madison
Chair(s):
Yingjie Hu, University At Buffalo
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Call For Participation
Representing geographic locations in AI models is a critical step for analyzing geospatial data. In this panel session, we invite experts to share recent research progress related to methods and applications in location representation.
Description:
Representing geographic locations in AI models is a critical step for analyzing geospatial data. In this panel session, we invite experts to share recent research progress related to methods and applications in location representation.
Presentations (if applicable) and Session Agenda:
Panel presentation: Morteza Karimzadeh |
Panel presentation: Gengchen Mai |
Panel presentation: Ziqi Li |
Panel presentation: Lexie Yang |
Panel presentation: Yiqun Xie |
Q & A |
Non-Presenting Participants
| Role | Participant |
| Panelist | Morteza Karimzadeh |
| Panelist | Gengchen Mai University of Texas at Austin |
| Panelist | Ziqi Li Florida State University |
| Panelist | Yiqun Xie University of Maryland - College Park |
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GeoAI and Deep Learning Symposium: Representing geographic locations in AI models: Methods and Applications
Description
Type: Panel
Contact the Primary Organizer
Yingjie Hu University At Buffalo
yhu42@buffalo.edu
Session sponsored by: