Sevvandi Kandanaarachchi

35 papers A* 1A 1Journal 27Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Flowette: Flow Matching with Graphette Priors for Graph Generation.
CoRR
Asiri Wijesinghe, Sevvandi Kandanaarachchi, Daniel M. Steinberg, Cheng Soon Ong
2025 J jnl
A pseudo-inverse of a line graph.
CoRR
Sevvandi Kandanaarachchi, Philip Kilby, Cheng Soon Ong
2025 J jnl
An Item Response Theory-based R module for Algorithm Portfolio Analysis.
SoftwareX
Brodie Oldfield, Sevvandi Kandanaarachchi, Ziqi Xu, Mario Andrés Muñoz
2025 A* conf
Fairness Evaluation with Item Response Theory.
WWW
Ziqi Xu, Sevvandi Kandanaarachchi, Cheng Soon Ong, Eirini Ntoutsi
2025 J jnl
Graphon Mixtures.
CoRR
Sevvandi Kandanaarachchi, Cheng Soon Ong
2025 J jnl
ISA
Mach. Learn.
Connor Simpson, Mario Andrés Muñoz, Sevvandi Kandanaarachchi, Ricardo J. G. B. Campello
2025 — conf
Predicting Graph Structure via Adapted Flux Balance Analysis.
AI (1)
Sevvandi Kandanaarachchi, Ziqi Xu, Stefan Westerlund, Conrad Sanderson
2025 J jnl
Predicting Graph Structure via Adapted Flux Balance Analysis.
CoRR
Sevvandi Kandanaarachchi, Ziqi Xu, Stefan Westerlund, Conrad Sanderson
2025 A conf
Revisiting Pre-processing Group Fairness: A Modular Benchmarking Framework.
CIKM
Brodie Oldfield, Ziqi Xu, Sevvandi Kandanaarachchi
2025 J jnl
Revisiting Pre-processing Group Fairness: A Modular Benchmarking Framework.
CoRR
Brodie Oldfield, Ziqi Xu, Sevvandi Kandanaarachchi
2024 J jnl
An Item Response Theory-based R Module for Algorithm Portfolio Analysis.
CoRR
Brodie Oldfield, Sevvandi Kandanaarachchi, Ziqi Xu, Mario Andrés Muñoz
2024 — conf
Extreme Value Modelling of Feature Residuals for Anomaly Detection in Dynamic Graphs.
ISCMI
Sevvandi Kandanaarachchi, Conrad Sanderson, Rob J. Hyndman
2024 J jnl
Extreme Value Modelling of Feature Residuals for Anomaly Detection in Dynamic Graphs.
CoRR
Sevvandi Kandanaarachchi, Conrad Sanderson, Rob J. Hyndman
2024 J jnl
Fairness Evaluation with Item Response Theory.
CoRR
Ziqi Xu, Sevvandi Kandanaarachchi, Cheng Soon Ong, Eirini Ntoutsi
2024 J jnl
Graphons of Line Graphs.
CoRR
Sevvandi Kandanaarachchi, Cheng Soon Ong
2024 — conf
Instance Space Analysis and Item Response Theory for Algorithm Testing.
GECCO Companion
Kate Smith-Miles, Mario Andrés Muñoz, Sevvandi Kandanaarachchi
2024 J jnl
Predicting the structure of dynamic graphs.
CoRR
Sevvandi Kandanaarachchi
2024 J jnl
Spatio-temporal spread of artemisinin resistance in Southeast Asia.
PLoS Comput. Biol.
Jennifer A. Flegg, Sevvandi Kandanaarachchi, Philippe J. Guerin, Arjen M. Dondorp, Francois Nosten, Sabina Dahlström Otienoburu, Nick Golding
2023 J jnl
Comprehensive Algorithm Portfolio Evaluation using Item Response Theory.
CoRR
Sevvandi Kandanaarachchi, Kate Smith-Miles
2023 J jnl
Comprehensive Algorithm Portfolio Evaluation using Item Response Theory.
J. Mach. Learn. Res.
Sevvandi Kandanaarachchi, Kate Smith-Miles
2023 — conf
DEFT: A New Distance-Based Feature Set for Keystroke Dynamics.
BIOSIG
Nuwan Kaluarachchi, Sevvandi Kandanaarachchi, Kristen Moore, Arathi Arakala
2023 J jnl
DEFT: A new distance-based feature set for keystroke dynamics.
CoRR
Nuwan Kaluarachchi, Sevvandi Kandanaarachchi, Kristen Moore, Arathi Arakala
2023 J jnl
Detecting inner-LAN anomalies using hierarchical forecasting.
CoRR
Sevvandi Kandanaarachchi, Mahdi Abolghasemi, Hideya Ochiai, Asha Rao
2022 J jnl
Anomaly detection in dynamic networks.
CoRR
Sevvandi Kandanaarachchi, Rob J. Hyndman
2022 — conf
Benchmarking algorithm portfolio construction methods.
GECCO Companion
Mario Andrés Muñoz, Hamed Soleimani, Sevvandi Kandanaarachchi
2022 J jnl
Honeyboost: Boosting honeypot performance with data fusion and anomaly detection.
Expert Syst. Appl.
Sevvandi Kandanaarachchi, Hideya Ochiai, Asha Rao
2022 J jnl
Leave-One-Out Kernel Density Estimates for Outlier Detection.
J. Comput. Graph. Stat.
Sevvandi Kandanaarachchi, Rob J. Hyndman
2022 J jnl
Short-term prediction of stream turbidity using surrogate data and a meta-model approach.
CoRR
Bhargav Rele, Caleb Hogan, Sevvandi Kandanaarachchi, Catherine Leigh
2022 J jnl
Unsupervised anomaly detection ensembles using item response theory.
Inf. Sci.
Sevvandi Kandanaarachchi
2021 J jnl
Dimension Reduction for Outlier Detection Using DOBIN.
J. Comput. Graph. Stat.
Sevvandi Kandanaarachchi, Rob J. Hyndman
2021 J jnl
Honeyboost: Boosting honeypot performance with data fusion and anomaly detection.
CoRR
Sevvandi Kandanaarachchi, Hideya Ochiai, Asha Rao
2021 J jnl
Unsupervised Anomaly Detection Ensembles using Item Response Theory.
CoRR
Sevvandi Kandanaarachchi
2020 J jnl
On normalization and algorithm selection for unsupervised outlier detection.
Data Min. Knowl. Discov.
Sevvandi Kandanaarachchi, Mario A. Muñoz, Rob J. Hyndman, Kate Smith-Miles
2019 — conf
Instance Space Analysis for Unsupervised Outlier Detection.
EDML@SDM
Sevvandi Kandanaarachchi, Mario A. Muñoz, Kate Smith-Miles
2016 J jnl
Machine learning methods for predicting the outcome of hypervelocity impact events.
Expert Syst. Appl.
Shannon Ryan, Stephen Thaler, Sevvandi Kandanaarachchi