MO4.R8.4
METRIC-GUIDED ATTENTION FUSION OF CLASS ACTIVATION MAPS FOR RELIABLE VISUAL EXPLANATIONS
Fatma Betül Yıldız, National Defense University, Türkiye; Gülşen Taşkın, Istanbul Technical University, Türkiye
Session:
MO4.R8: Findable, Accessible, Re-usable, and Explainable AI Best Practices. Oral
Track:
Special Themes
Location:
Embassy
Presentation Time:
Monday, 10 August, 17:00 - 17:15
Presentation
Discussion
Resources
No resources available.
Session MO4.R8
MO4.R8.1: AUTOMATED GENERATION OF CONNECTED, MULTI-ANNUAL, SEASONAL SBAS NETWORKS WITH ASF SAR DATA SEARCH AND DISCOVERY TOOLS
Alexander Lewandowski, Andrew Anderson, Tyler Chase, Kim Fairbanks, Christy Fleming, Jake Herrmann, William Horn, Andrew Johnston, Joseph H. Kennedy, Heidi Kristenson, Kathleen Kristenson, Alaska Satellite Facility, United States; Franz Meyer, University of Alaska Fairbanks, United States; Gregory Short, Jacquelyn Smale, Yoreley Villafeñez, Mario Angarita Vargas, Alaska Satellite Facility, United States; Forrest Williams, Ursa Space Systems, United States
MO4.R8.2: EXPANDING EARTH SCIENCE DATA TO NEW USER COMMUNITIES
Binita KC, James Acker, NASA GES DISC/ Adnet Systems Inc., United States; Zhong Liu, NASA GES DISC/ George Mason University, United States; Mahabal Hegde, NASA GES DISC, United States; Mohammad Khayat, NASA GES DISC/Adnet Systems Inc., United States
MO4.R8.3: OPENCALVALPLAN: A REPRODUCIBLE SYSTEM FOR MULTI-SENSOR CALIBRATION, VALIDATION, AND SNO PLANNING
sandeep kumar chittimalli, Synectics for Management Decisions Inc, United States; Saicharan Vasala, Sharda University, United States; Suman Bhatta, South Dakota State University, United States; Roni Farhad, GeoComm, inc, United States
MO4.R8.4: METRIC-GUIDED ATTENTION FUSION OF CLASS ACTIVATION MAPS FOR RELIABLE VISUAL EXPLANATIONS
Fatma Betül Yıldız, National Defense University, Türkiye; Gülşen Taşkın, Istanbul Technical University, Türkiye
Resources
No resources available.