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cs.LG2025
Revisiting Pre-processing Group Fairness: A Modular Benchmarking Framework
Brodie Oldfield, Ziqi Xu, Sevvandi Kandanaarachchi
As machine learning systems become increasingly integrated into high-stakes decision-making processes, ensuring fairness in algorithmic outcomes has become a critical concern. Meth…
cs.LG2024★ 2 cited
An Item Response Theory-based R Module for Algorithm Portfolio Analysis
Brodie Oldfield, Sevvandi Kandanaarachchi, Ziqi Xu +1
Experimental evaluation is crucial in AI research, especially for assessing algorithms across diverse tasks. Many studies often evaluate a limited set of algorithms, failing to ful…