Sevvandi Kandanaarachchi

According to our database, Sevvandi Kandanaarachchi authored at least 27 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Flowette: Flow Matching with Graphette Priors for Graph Generation.

Asiri Wijesinghe, Sevvandi Kandanaarachchi, Daniel M. Steinberg, Cheng Soon Ong

CoRR, February, 2026

2025

ISA³: a 3-dimensional expansion of instance space analysis.

Connor Simpson, Mario Andrés Muñoz, Sevvandi Kandanaarachchi, Ricardo J. G. B. Campello

Mach. Learn., November, 2025

A pseudo-inverse of a line graph.

Sevvandi Kandanaarachchi, Philip Kilby, Cheng Soon Ong

CoRR, August, 2025

Graphon Mixtures.

Sevvandi Kandanaarachchi, Cheng Soon Ong

CoRR, May, 2025

An Item Response Theory-based R module for Algorithm Portfolio Analysis.

Brodie Oldfield, Sevvandi Kandanaarachchi, Ziqi Xu, Mario Andrés Muñoz

SoftwareX, 2025

Fairness Evaluation with Item Response Theory.

Ziqi Xu, Sevvandi Kandanaarachchi, Cheng Soon Ong, Eirini Ntoutsi

Proceedings of the ACM on Web Conference 2025, 2025

Morphological Leave-One-Out Kernel Density Estimates for Anomaly Detection in Satellite Telemetry.

Mina Bikhit, Sevvandi Kandanaarachchi, Krzysztof Kotowski, Jakub Nalepa, Bogdan Ruszczak

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

Revisiting Pre-processing Group Fairness: A Modular Benchmarking Framework.

Brodie Oldfield, Ziqi Xu, Sevvandi Kandanaarachchi

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Predicting Graph Structure via Adapted Flux Balance Analysis.

Sevvandi Kandanaarachchi, Ziqi Xu, Stefan Westerlund, Conrad Sanderson

Proceedings of the AI 2025: Advances in Artificial Intelligence, 2025

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

Graphons of Line Graphs.

Sevvandi Kandanaarachchi, Cheng Soon Ong

CoRR, 2024

Predicting the structure of dynamic graphs.

Sevvandi Kandanaarachchi

CoRR, 2024

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

Sevvandi Kandanaarachchi, Conrad Sanderson, Rob J. Hyndman

Proceedings of the 11th International Conference on Soft Computing & Machine Intelligence, 2024

Instance Space Analysis and Item Response Theory for Algorithm Testing.

Kate Smith-Miles, Mario Andrés Muñoz, Sevvandi Kandanaarachchi

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

Comprehensive Algorithm Portfolio Evaluation using Item Response Theory.

Sevvandi Kandanaarachchi, Kate Smith-Miles

J. Mach. Learn. Res., 2023

Detecting inner-LAN anomalies using hierarchical forecasting.

Sevvandi Kandanaarachchi, Mahdi Abolghasemi, Hideya Ochiai, Asha Rao

CoRR, 2023

DEFT: A New Distance-Based Feature Set for Keystroke Dynamics.

Nuwan Kaluarachchi, Sevvandi Kandanaarachchi, Kristen Moore, Arathi Arakala

Proceedings of the 22nd International Conference of the Biometrics Special Interest Group, 2023

2022

Leave-One-Out Kernel Density Estimates for Outlier Detection.

Sevvandi Kandanaarachchi, Rob J. Hyndman

J. Comput. Graph. Stat., January, 2022

Unsupervised anomaly detection ensembles using item response theory.

Sevvandi Kandanaarachchi

Inf. Sci., 2022

Honeyboost: Boosting honeypot performance with data fusion and anomaly detection.

Sevvandi Kandanaarachchi, Hideya Ochiai, Asha Rao

Expert Syst. Appl., 2022

Anomaly detection in dynamic networks.

Sevvandi Kandanaarachchi, Rob J. Hyndman

CoRR, 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

Benchmarking algorithm portfolio construction methods.

Mario Andrés Muñoz, Hamed Soleimani, Sevvandi Kandanaarachchi

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

Dimension Reduction for Outlier Detection Using DOBIN.

Sevvandi Kandanaarachchi, Rob J. Hyndman

J. Comput. Graph. Stat., 2021

2020

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

2019

Instance Space Analysis for Unsupervised Outlier Detection.

Sevvandi Kandanaarachchi, Mario A. Muñoz, Kate Smith-Miles

Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning co-located with SIAM International Conference on Data Mining (SDM 2019), 2019

2016

Machine learning methods for predicting the outcome of hypervelocity impact events.

Shannon Ryan, Stephen Thaler, Sevvandi Kandanaarachchi

Expert Syst. Appl., 2016