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Found 3 papers, 1 papers with code
A Confidence-Based Approach for Balancing Fairness and Accuracy
To help to distinguish between these naive algorithms and more sensible algorithms we propose a new measure of fairness, called resilience to random bias (RRB).
Locally Boosted Graph Aggregation for Community Detection
Learning the right graph representation from noisy, multi-source data has garnered significant interest in recent years.
A Boosting Approach to Learning Graph Representations
Learning the right graph representation from noisy, multisource data has garnered significant interest in recent years.
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