TH1.R3.4
EXPLAINABLE AI (XAI) FOR ISLAND WAKE SEGMENTATION OF SYNTHETIC APERTURE RADAR IMAGERY
Madeleine Dawson, Hans Graber, University of Miami, United States
Session:
TH1.R3: Explainable Artificial Intelligence for Big Data and Scientific Discovery Oral
Track:
Community Contributed Themes
Location:
Oak Lawn
Presentation Time:
Thursday, 13 August, 09:15 - 09:30
Session Co-Chairs:
Phung Lai, and Thilanka Munasinghe,
Presentation
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Session TH1.R3
TH1.R3.1: RESEARCH ON A GENERAL ARTIFICIAL INTELLIGENCE TECHNOLOGY FRAMEWORK AND COLLABORATIVE APPLICATION FOR THE MARINE FIELD
xiaoyi jiang, shengwen cao, National Marine Data and Information Service, China
TH1.R3.2: INTEGRATING SPATIAL-SEMANTIC REASONING VIA GEOGRAPHIC KNOWLEDGE GRAPH: ADVANCING FROM DIGITAL TO INTELLIGENT OCEAN GOVERNANCE
Hanrui Sun, Xiaoyi Jiang, Jin Wang, Xue Guo, Long He, Linchong Kang, National Marine Data and Information Service, China
TH1.R3.3: ACCURACY AND LOCAL EDITABILITY OF DENSE CONCEPT BOTTLENECK MODELS FOR SENTINEL-1/2 LAND COVER MAPPING
Taewoong Ham, Baoxin Hu, York University, Canada
TH1.R3.4: EXPLAINABLE AI (XAI) FOR ISLAND WAKE SEGMENTATION OF SYNTHETIC APERTURE RADAR IMAGERY
Madeleine Dawson, Hans Graber, University of Miami, United States
Resources
No resources available.