Publications

Fairness evaluation with Item Response Theory
Ziqi Xu, Sevvandi Kandanaarachchi, Cheng Soon Ong, Eirini Ntoutsi
In Proceedings of the ACM on Web Conference (WWW 25)
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Graphon mixtures
Sevvandi Kandanaarachchi and Cheng Soon Ong
Preprint
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A pseudo-inverse of a line graph
Sevvandi Kandanaarachchi, Philip Kilby and Cheng Soon Ong
Preprint
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Revisiting Pre-processing Group Fairness -- A Modular Benchmarking Framework
Brodie Oldfield, Ziqi Xu and Sevvandi Kandanaarachchi
Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM 2025)
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Four Compelling Reasons to Urgently Integrate AI Development With Humanities, Social and Economics Sciences
Iadine Chades, Melanie McGrath, Erin Bohensky, Lucy Carter, Rebecca Coates, Ben Harwood, Md Zahidul Islam, Sevvandi Kandanaarachchi, Cheng Soon Ong, Andrew Reeson, Samantha Stone-Jovicich, Cécile Paris, Mitchell Scovell, Kirsty Wissing and David M Douglas
IEEE Transactions on Technology and Society
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Predicting Graph Structure via Adapted Flux Balance Analysis
Sevvandi Kandanaarachchi, Ziqi Xu, Stefan Westerlund and Conrad Sanderson
Proceedings of the Australasian Joint Conference on Artificial Intelligence (AJCAI 2025)
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ISA3 – A 3-Dimensional Expansion of Instance Space Analysis
Connor Simpson, Mario Andrés Muñoz, Sevvandi Kandanaarachchi and Ricardo J. G. B. Campello
Machine Learning
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An Item Response Theory-based R Module for Algorithm Portfolio Analysis
Brodie Oldfield, Sevvandi Kandanaarachchi, Ziqi Xu and Mario Andrés Muñoz
SoftwareX
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Spatio-temporal spread of artemisinin resistance in Southeast Asia
Jennifer A. Flegg ,Sevvandi Kandanaarachchi, Philippe J. Guerin, Arjen M. Dondorp, Francois H. Nosten, Sabina Dahlström Otienoburu and Nick Golding
PLOS Computational Biology
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Extreme Value Modelling of Feature Residuals for Anomaly Detection in Dynamic Graphs
Sevvandi Kandanaarachchi, Conrad Sanderson and Rob J. Hyndman
In Proceedings of the 11th International Conference on Soft Computing & Machine Intelligence (ISCMI 2024)
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Graphons of Line Graphs
Sevvandi Kandanaarachchi and Cheng Soon Ong
Preprint
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Detecting inner-LAN anomalies using hierarchical forecasting
Sevvandi Kandanaarachchi, Mahdi Abolghasemi, Hideya Ochiai and Asha Rao
Preprint
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DEFT: A new distance-based feature set for keystroke dynamics
Nuwan Kaluarachchi, Sevvandi Kandanaarachchi, Kristen Moore, and Arathi Arakala
In Proceedings of the International Conference of the Biometrics Special Interest Group (BIOSIG 2023)
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Comparison of Tiling Artifact Removal Methods in Secondary Ion Mass Spectrometry Images
Sevvandi Kandanaarachchi, Wil Gardner, David LJ Alexander, Benjamin W Muir, Philippe A Chouinard, Sheila G Crewther, David J Scurr, Mark Halliday and Paul J Pigram
Analytical Chemistry
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Comprehensive algorithm portfolio evaluation using item response theory
Sevvandi Kandanaarachchi and Kate Smith-Miles
Journal of Machine Learning Research
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Short‐term prediction of stream turbidity using surrogate data and a meta‐model approach a case study
Bhargav Rele, Caleb Hogan, Sevvandi Kandanaarachchi and Catherine Leigh
Hydrological Processes
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The application of machine learning in micrometeoroid and orbital debris impact protection and risk assessment for spacecraft
Shannon Ryan, Neeraj Sushma, Hung Le, Arun Kumar, Julian Berk, TM Nguyen, and Santu Rana, and Sevvandi Kandanaarachchi and Svetha Venkatesh
International Journal of Impact Engineering
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Comparison of new computational methods for spatial modelling of malaria
Spencer Wong, Jennifer Flegg, Nick Golding, and Sevvandi Kandanaarachchi
Malaria Journal
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Unsupervised anomaly detection ensembles using Item Response Theory
Sevvandi Kandanaarachchi
Information Sciences
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Singularities of axially symmetric volume preserving mean curvature flow
Maria Athanassenas and Sevvandi Kandanaarachchi
Communications in Analysis and Geometry
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Honeyboost: Boosting honeypot performance with data fusion and anomaly detection
Sevvandi Kandanaarachchi, Hideya Ochiai and Asha Rao
Expert Systems with Applications
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Benchmarking Algorithm Portfolio Construction Methods
Mario Muñoz Acosta, and Hamed Soleimani and Sevvandi Kandanaarachchi
In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO 2022)
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Leave-One-Out Kernel Density Estimates for Outlier Detection
Sevvandi Kandanaarachchi and Rob J. Hyndman
Journal of Computational and Graphical Statistics
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Early Detection of Vegetation Ignition Due to Powerline Faults
Sevvandi Kandanaarachchi, Nandini Anantharama and Mario Muñoz Acosta
IEEE Transactions on Power Delivery
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Early classification of spatio-temporal events using partial information
Sevvandi Kandanaarachchi and Rob J. Hyndman, and Kate Smith-Miles
PLoS ONE
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On normalization and algorithm selection for unsupervised outlier detection
Sevvandi Kandanaarachchi, Mario A Muñoz, Rob J Hyndman and Kate Smith-Miles
Data Mining and Knowledge Discovery
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Dimension Reduction for Outlier Detection Using DOBIN
Sevvandi Kandanaarachchi and Rob J. Hyndman
Journal of Computational and Graphical Statistics
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Singularities of axially symmetric volume preserving mean curvature flow
Maria Athanassenas and Sevvandi Kandanaarachchi
Communications in Analysis and Geometry
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Predicting sediment and nutrient concentrations from high-frequency water-quality data
Catherine Leigh, Sevvandi Kandanaarachchi, James McGree, Rob J. Hyndman, Omar Alsibai, Kerrie Mengersen and Erin Peterson
PLOS ONE
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Instance Space Analysis for Unsupervised Outlier Detection
Sevvandi Kandanaarachchi, Mario Muñoz Acosta and Kate Smith-Miles
Proceedings of Evaluation and Experimental Design in Data Mining and Machine Learning 2019. Rheinisch-Westfaelische Technische Hochschule Aachen.
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Singularity formation in axially symmetric mean curvature flow with Neumann boundary
John Head and Sevvandi Kandanaarachchi
preprint
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A framework for automated anomaly detection in high frequency water-quality data from in situ sensors
Catherine Leigh, Omar Alsibai, Rob J. Hyndman, Sevvandi Kandanaarachchi, Olivia King, James McGree, Catherine Neelamraju, Jennifer Strauss, Dilini Talagala, Ryan Turner and others
Science of The Total Environment
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Anomaly detection in streaming nonstationary temporal data
Priyanga Talagala, Rob J. Hyndman, Kate Smith-Miles, Sevvandi Kandanaarachchi and Mario Muñoz Acosta
Journal of Computational and Graphical Statistics
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On the extension of axially symmetric volume preserving mean curvature flow
John Head and Sevvandi Kandanaarachchi
Preprint
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Machine learning methods for predicting the outcome of hypervelocity impact events
Shanon Ryan, Stephen Thaler, and Sevvandi Kandanaarachchi
Expert Systems with Applications
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Support vector machines for characterizing Whipple shield performance
Shanon Ryan, Sevvandi Kandanaarachchi and Kate Smith-Miles
Procedia Engineering
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On the convergence of axially symmetric volume preserving mean curvature flow
Maria Athanassenas and Sevvandi Kandanaarachchi
Pacific Journal of Mathematics
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