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20112026
most citedPredicting Sediment and Nutrient Concentrations in Rivers Using High Frequency Water Quality Surrogates

55 citations · 71 across the 27 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CY2024

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…

cs.LG2024★ 1 cited

Extreme Value Modelling of Feature Residuals for Anomaly Detection in Dynamic Graphs

Sevvandi Kandanaarachchi, Conrad Sanderson, Rob J. Hyndman

Detecting anomalies in a temporal sequence of graphs can be applied is areas such as the detection of accidents in transport networks and cyber attacks in computer networks. Existi…

stat.ML2024

Graphons of Line Graphs

Sevvandi Kandanaarachchi, Cheng Soon Ong

We consider the problem of estimating graph limits, known as graphons, from observations of sequences of sparse finite graphs. In this paper we show a simple method that can shed l…

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…

cs.LG2024

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…