Sevvandi Kandanaarachchi

According to our database, Sevvandi Kandanaarachchi authored at least 14 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Predicting the structure of dynamic graphs.

Sevvandi Kandanaarachchi

CoRR, 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 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