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Sevvandi Kandanaarachchi
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2020 – today
- 2024
- [c4]Kate Smith-Miles, Mario Andrés Muñoz, Sevvandi Kandanaarachchi:
Instance Space Analysis and Item Response Theory for Algorithm Testing. GECCO Companion 2024: 1369-1390 - [i8]Sevvandi Kandanaarachchi:
Predicting the structure of dynamic graphs. CoRR abs/2401.04280 (2024) - 2023
- [j7]Sevvandi Kandanaarachchi, Kate Smith-Miles:
Comprehensive Algorithm Portfolio Evaluation using Item Response Theory. J. Mach. Learn. Res. 24: 177:1-177:52 (2023) - [c3]Nuwan Kaluarachchi, Sevvandi Kandanaarachchi
, Kristen Moore, Arathi Arakala:
DEFT: A New Distance-Based Feature Set for Keystroke Dynamics. BIOSIG 2023: 1-6 - [i7]Sevvandi Kandanaarachchi, Mahdi Abolghasemi, Hideya Ochiai, Asha Rao:
Detecting inner-LAN anomalies using hierarchical forecasting. CoRR abs/2304.13941 (2023) - [i6]Sevvandi Kandanaarachchi, Kate Smith-Miles:
Comprehensive Algorithm Portfolio Evaluation using Item Response Theory. CoRR abs/2307.15850 (2023) - [i5]Nuwan Kaluarachchi, Sevvandi Kandanaarachchi, Kristen Moore, Arathi Arakala:
DEFT: A new distance-based feature set for keystroke dynamics. CoRR abs/2310.04059 (2023) - 2022
- [j6]Sevvandi Kandanaarachchi
, Hideya Ochiai
, Asha Rao
:
Honeyboost: Boosting honeypot performance with data fusion and anomaly detection. Expert Syst. Appl. 201: 117073 (2022) - [j5]Sevvandi Kandanaarachchi:
Unsupervised anomaly detection ensembles using item response theory. Inf. Sci. 587: 142-163 (2022) - [j4]Sevvandi Kandanaarachchi
, Rob J. Hyndman
:
Leave-One-Out Kernel Density Estimates for Outlier Detection. J. Comput. Graph. Stat. 31(1): 586-599 (2022) - [c2]Mario Andrés Muñoz, Hamed Soleimani, Sevvandi Kandanaarachchi:
Benchmarking algorithm portfolio construction methods. GECCO Companion 2022: 499-502 - [i4]Bhargav Rele, Caleb Hogan, Sevvandi Kandanaarachchi, Catherine Leigh:
Short-term prediction of stream turbidity using surrogate data and a meta-model approach. CoRR abs/2210.05821 (2022) - [i3]Sevvandi Kandanaarachchi, Rob J. Hyndman:
Anomaly detection in dynamic networks. CoRR abs/2210.07407 (2022) - 2021
- [j3]Sevvandi Kandanaarachchi
, Rob J. Hyndman
:
Dimension Reduction for Outlier Detection Using DOBIN. J. Comput. Graph. Stat. 30(1): 204-219 (2021) - [i2]Sevvandi Kandanaarachchi
, Hideya Ochiai, Asha Rao:
Honeyboost: Boosting honeypot performance with data fusion and anomaly detection. CoRR abs/2105.02526 (2021) - [i1]Sevvandi Kandanaarachchi
:
Unsupervised Anomaly Detection Ensembles using Item Response Theory. CoRR abs/2106.06243 (2021) - 2020
- [j2]Sevvandi Kandanaarachchi
, Mario A. Muñoz
, Rob J. Hyndman
, Kate Smith-Miles
:
On normalization and algorithm selection for unsupervised outlier detection. Data Min. Knowl. Discov. 34(2): 309-354 (2020)
2010 – 2019
- 2019
- [c1]Sevvandi Kandanaarachchi, Mario A. Muñoz, Kate Smith-Miles:
Instance Space Analysis for Unsupervised Outlier Detection. EDML@SDM 2019: 32-41 - 2016
- [j1]Shannon Ryan
, Stephen Thaler, Sevvandi Kandanaarachchi
:
Machine learning methods for predicting the outcome of hypervelocity impact events. Expert Syst. Appl. 45: 23-39 (2016)
Coauthor Index
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last updated on 2024-08-03 21:15 CEST by the dblp team
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