Publications

Flegg, J. A., Kandanaarachchi, S., Guerin, P. J., Dondorp, A. M., Nosten, F. H., Otienoburu, S. D., & Golding, N. (2024). Spatio-temporal spread of artemisinin resistance in Southeast Asia. PLOS Computational Biology, 20(4), e1012017.
[PDF]

Kandanaarachchi, Sevvandi, Sanderson, Conrad, & Hyndman, Rob, J. (2024). Extreme Value Modelling of Feature Residuals for Anomaly Detection in Dynamic Graphs. arXiv preprint arXiv:2410.05687.
[PDF]

Xu, Ziqi, Kandanaarachchi, Sevvandi, Ong, Cheng Soon, & Ntoutsi, Erini (2024). Fairness Evaluation with Item Response Theory. arXiv preprint arXiv:2411.02414.
[PDF]

Kandanaarachchi, Sevvandi, & Ong, Cheng Soon (2024). Graphons of Line Graphs. arXiv preprint arXiv:2409.01656.
[PDF]

Kandanaarachchi, Sevvandi and Abolghasemi, Mahdi and Ochiai, Hideya and Rao, Asha (2024). Robust Insider Attack Detection Using Hierarchical Forecasting on ARP Broadcasts. preprint.
[PDF]

Kandanaarachchi, Sevvandi and Xu, Ziqi and Westerlund, Stefan (2024). Predicting the structure of dynamic graphs. arXiv preprint arXiv:2401.04280.
[PDF]

Oldfield, Brodie and Kandanaarachchi, Sevvandi and Xu, Ziqi and Muñoz, Mario (2024). An Item Response Theory-based R Module for Algorithm Portfolio Analysis. arXiv preprint arXiv:2408.14025.
[PDF]

Simpson, Connor and Muñoz, Mario and Kandanaarachchi, Sevvandi and Campello, Ricardo (2024). ISA3 – A 3-Dimensional Expansion of Instance Space Analysis. preprint.

Kaluarachchi, Nuwan and Kandanaarachchi, Sevvandi and Moore, Kristen and Arakala, Arathi (2023). DEFT: A New Distance-Based Feature Set for Keystroke Dynamics. 2023 International Conference of the Biometrics Special Interest Group (BIOSIG), 1-6.
[PDF]

Kandanaarachchi, Sevvandi and Smith-Miles, Kate (2023). Comprehensive algorithm portfolio evaluation using item response theory. Journal of Machine Learning Research, 24(177), 1–52.
[PDF]

Rele, Bhargav and Hogan, Caleb and Kandanaarachchi, Sevvandi and Leigh, Catherine (2023). Short‐term prediction of stream turbidity using surrogate data and a meta‐model approach: A case study. Hydrological Processes, 37(4), e14857.
[PDF]

Ryan, Shannon and Sushma, Neeraj and Le, Hung and Kumar, Arun and Berk, Julian and Nguyen, TM and Rana, Santu and Kandanaarachchi, Sevvandi and Venkatesh, Svetha (2023). The application of machine learning in micrometeoroid and orbital debris impact protection and risk assessment for spacecraft. International Journal of Impact Engineering, 181, 104727.
[PDF]

Wong, Spencer and Flegg, Jennifer and Golding, Nick and Kandanaarachchi, Sevvandi (2023). Comparison of new computational methods for spatial modelling of malaria. Malaria Journal, 22(1), 356.
[PDF]

Athanassenas, Maria and Kandanaarachchi, Sevvandi (2022). Singularities of axially symmetric volume preserving mean curvature flow. Communications in Analysis and Geometry, 30(8), 1683–1711.
[PDF]

Kandanaarachchi, Sevvandi and Ochiai, Hideya and Rao, Asha (2022). Honeyboost: Boosting honeypot performance with data fusion and anomaly detection. Expert Systems with Applications, 201, 117073.
[PDF]

Muñoz, Mario and Soleimani, Hamed and Kandanaarachchi, Sevvandi (2022 July). Benchmarking algorithm portfolio construction methods. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 499-502).
[PDF]

Kandanaarachchi, Sevvandi., & Hyndman, Rob J. (2021). Leave-One-Out Kernel Density Estimates for Outlier Detection. Journal of Computational and Graphical Statistics, 31(2), 586–599.
[PDF]

Kandanaarachchi, Sevvandi and Anantharama, Nandini and Muñoz, Mario (2021). Early Detection of Vegetation Ignition Due to Powerline Faults. IEEE Transactions on Power Delivery, 36(3), 1324-1334.
[PDF]

Kandanaarachchi, Sevvandi and Hyndman, Rob, and Smith-Miles, Kate (2020). Early classification of spatio-temporal events using partial information. PLoS ONE, 15(8).
[PDF]

Kandanaarachchi, S., & Hyndman, R. J. (2020). Dimension Reduction for Outlier Detection Using DOBIN. Journal of Computational and Graphical Statistics, 30(1), 204–219.
[PDF]

Leigh, Catherine and Kandanaarachchi, Sevvandi and McGree, James and Hyndman, Rob, and Alsibai, Omar and Mengersen, Kerrie and Peterson, Erin (2019). Predicting sediment and nutrient concentrations from high-frequency water-quality data. PLOS ONE, 14(8), 1-22.
[PDF]

Kandanaarachchi, Sevvandi and Muñoz, Mario and Smith-Miles, Kate (2019). Instance space analysis for unsupervised outlier detection. In Evaluation and Experimental Design in Data Mining and Machine Learning 2019. Rheinisch-Westfaelische Technische Hochschule Aachen.
[PDF]

Head, John and Kandanaarachchi, Sevvandi (2019). Singularity formation in axially symmetric mean curvature flow with Neumann boundary . preprint.
[PDF]

Leigh, Catherine and Alsibai, Omar and Hyndman, Rob and Kandanaarachchi, Sevvandi and King, Olivia and McGree, James and Neelamraju, Catherine and Strauss, Jennifer and Talagala, Dilini and Turner, Ryan and others, (2019). A framework for automated anomaly detection in high frequency water-quality data from in situ sensors. Science of The Total Environment, 664, 885–898.
[PDF]

Talagala, Priyanga and Hyndman, Rob and Smith-Miles, Kate and Kandanaarachchi, Sevvandi and Muñoz, Mario (2019). Anomaly Detection in Streaming Nonstationary Temporal Data. Journal of Computational and Graphical Statistics, 29(1), 13–27. https://doi.org/10.1080/10618600.2019.1617160
[PDF]

Head, John and Kandanaarachchi, Sevvandi (2017). On the extension of axially symmetric volume preserving mean curvature flow. preprint.
[PDF]

Ryan, Shanon and Thaler, Stephen and Kandanaarachchi, Sevvandi (2016). Machine learning methods for predicting the outcome of hypervelocity impact events. Expert Systems with Applications, 45, 23-39.
[PDF]

Ryan, Shanon and Kandanaarachchi, Sevvandi and Smith-Miles, Kate (2015). Support vector machines for characterising Whipple shield performance. Procedia Engineering, 103, 522-529.
[PDF]

Athanassenas, Maria and Kandanaarachchi, Sevvandi (2012). On the convergence of axially symmetric volume preserving mean curvature flow. Pac. J. Math., 259(1), 41-54.
[PDF]