2 citations · 2 across the 5 of their papers we have counts for
5 papers
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…
Predicting Graph Structure via Adapted Flux Balance Analysis
Sevvandi Kandanaarachchi, Ziqi Xu, Stefan Westerlund +1
Many dynamic processes such as telecommunication and transport networks can be described through discrete time series of graphs. Modelling the dynamics of such time series enables…
Fairness Evaluation with Item Response Theory
Ziqi Xu, Sevvandi Kandanaarachchi, Cheng Soon Ong +1
Item Response Theory (IRT) has been widely used in educational psychometrics to assess student ability, as well as the difficulty and discrimination of test questions. In this cont…
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…
Predicting the structure of dynamic graphs
Sevvandi Kandanaarachchi, Ziqi Xu, Stefan Westerlund
Many aspects of graphs have been studied in depth. However, forecasting the structure of a graph at future time steps incorporating unseen, new nodes and edges has not gained much…