Machine learning methods for predicting the outcome of hypervelocity impact events. - Shannon Ryan; Stephen Thaler; Sevvandi Kandanaarachchi (Expert Syst. Appl., 2016)

Instance Space Analysis for Unsupervised Outlier Detection. - Sevvandi Kandanaarachchi; Mario A. Muñoz; Kate Smith-Miles (EDML@SDM, 2019)

On normalization and algorithm selection for unsupervised outlier detection. - Sevvandi Kandanaarachchi; Mario A. Muñoz; Rob J. Hyndman; Kate Smith-Miles (Data Min. Knowl. Discov., 2020)

Dimension Reduction for Outlier Detection Using DOBIN. - Sevvandi Kandanaarachchi; Rob J. Hyndman (J. Comput. Graph. Stat., 2021)

Benchmarking algorithm portfolio construction methods. - Mario Andrés Muñoz; Hamed Soleimani; Sevvandi Kandanaarachchi (GECCO Companion, 2022)

Short-term prediction of stream turbidity using surrogate data and a meta-model approach. - Bhargav Rele; Caleb Hogan; Sevvandi Kandanaarachchi; Catherine Leigh (CoRR, 2022)

Anomaly detection in dynamic networks. - Sevvandi Kandanaarachchi; Rob J. Hyndman (CoRR, 2022)

Honeyboost: Boosting honeypot performance with data fusion and anomaly detection. - Sevvandi Kandanaarachchi; Hideya Ochiai; Asha Rao (Expert Syst. Appl., 2022)

Unsupervised anomaly detection ensembles using item response theory. - Sevvandi Kandanaarachchi (Inf. Sci., 2022)

Leave-One-Out Kernel Density Estimates for Outlier Detection. - Sevvandi Kandanaarachchi; Rob J. Hyndman (J. Comput. Graph. Stat., 2022)

DEFT: A New Distance-Based Feature Set for Keystroke Dynamics. - Nuwan Kaluarachchi; Sevvandi Kandanaarachchi; Kristen Moore; Arathi Arakala (BIOSIG, 2023)

Detecting inner-LAN anomalies using hierarchical forecasting. - Sevvandi Kandanaarachchi; Mahdi Abolghasemi; Hideya Ochiai; Asha Rao (CoRR, 2023)

Comprehensive Algorithm Portfolio Evaluation using Item Response Theory. - Sevvandi Kandanaarachchi; Kate Smith-Miles (J. Mach. Learn. Res., 2023)

Instance Space Analysis and Item Response Theory for Algorithm Testing. - Kate Smith-Miles; Mario Andrés Muñoz; Sevvandi Kandanaarachchi (GECCO Companion, 2024)

Extreme Value Modelling of Feature Residuals for Anomaly Detection in Dynamic Graphs. - Sevvandi Kandanaarachchi; Conrad Sanderson; Rob J. Hyndman (ISCMI, 2024)

Predicting the structure of dynamic graphs. - Sevvandi Kandanaarachchi (CoRR, 2024)

Graphons of Line Graphs. - Sevvandi Kandanaarachchi; Cheng Soon Ong (CoRR, 2024)

Spatio-temporal spread of artemisinin resistance in Southeast Asia. - Jennifer A. Flegg; Sevvandi Kandanaarachchi; Philippe J. Guerin; Arjen M. Dondorp; Francois Nosten; Sabina Dahlström Otienoburu; Nick Golding (PLoS Comput. Biol., 2024)

Fairness Evaluation with Item Response Theory. - Ziqi Xu 001; Sevvandi Kandanaarachchi; Cheng Soon Ong; Eirini Ntoutsi (WWW, 2025)

An Item Response Theory-based R module for Algorithm Portfolio Analysis. - Brodie Oldfield; Sevvandi Kandanaarachchi; Ziqi Xu 001; Mario Andrés Muñoz (SoftwareX, 2025)

Graphon Mixtures. - Sevvandi Kandanaarachchi; Cheng Soon Ong (CoRR, 2025)

Predicting Graph Structure via Adapted Flux Balance Analysis. - Sevvandi Kandanaarachchi; Ziqi Xu; Stefan Westerlund; Conrad Sanderson (CoRR, 2025)

Revisiting Pre-processing Group Fairness: A Modular Benchmarking Framework. - Brodie Oldfield; Ziqi Xu 001; Sevvandi Kandanaarachchi (CoRR, 2025)