On Supervised Class-Imbalanced Learning: An Updated Perspective and Some Key Challenges
Author:
Affiliation:
1. Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India
2. Department of Computer Science, Faculty of Electrical Engineering and Computer Science, VŠB-TUO, Czech Republic
Funder
SGS
VSB-Technical University of Ostrava
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Artificial Intelligence
Link
http://xplorestaging.ieee.org/ielx7/9078688/9960713/09738474.pdf?arnumber=9738474
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1. Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability Judgment
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