Affiliation:
1. University of California, Riverside
Funder
US Dept. of Commerce, NIST
National Science Foundation
Reference38 articles.
1. Active Learning Based Federated Learning for Waste and Natural Disaster Image Classification
2. M. Arumaithurai A. Tagami K. K. Ramakrishnan and N. Blefari Melazzi. 2020. Research Directions for Using Information-Centric Networking (ICN) in Disaster Scenarios. RFC 8884. M. Arumaithurai A. Tagami K. K. Ramakrishnan and N. Blefari Melazzi. 2020. Research Directions for Using Information-Centric Networking (ICN) in Disaster Scenarios. RFC 8884.
3. Comparing Learning-Based Methods for Identifying Disaster-Related Tweets
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