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Sevvandi Kandanaarachchi
Sevvandi Kandanaarachchi
CSIRO's Data61
E-mail confirmado em data61.csiro.au - Página inicial
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A framework for automated anomaly detection in high frequency water-quality data from in situ sensors
C Leigh, O Alsibai, RJ Hyndman, S Kandanaarachchi, OC King, ...
Science of The Total Environment 664, 885-898, 2019
862019
Anomaly detection in streaming nonstationary temporal data
PD Talagala, RJ Hyndman, K Smith-Miles, S Kandanaarachchi, ...
Journal of Computational and Graphical Statistics 29 (1), 13-27, 2020
632020
On normalization and algorithm selection for unsupervised outlier detection
S Kandanaarachchi, MA Muñoz, RJ Hyndman, K Smith-Miles
Data Mining and Knowledge Discovery 34 (2), 309-354, 2020
602020
Predicting sediment and nutrient concentrations from high-frequency water-quality data
C Leigh, S Kandanaarachchi, JM McGree, RJ Hyndman, O Alsibai, ...
PloS one 14 (8), e0215503, 2019
392019
Machine learning methods for predicting the outcome of hypervelocity impact events
S Ryan, S Thaler, S Kandanaarachchi
Expert Systems with Applications 45, 23-39, 2016
372016
Predicting sediment and nutrient concentrations from high-frequency water-quality data
C Leigh, S Kandanaarachchi, JM McGree, RJ Hyndman, O Alsibai, ...
PloS one 14 (8), 2019
362019
Convergence of axially symmetric volume-preserving mean curvature flow
M Athanassenas, S Kandanaarachchi
Pacific Journal of Mathematics 259 (1), 41-54, 2012
242012
Singularities of Axially Symmetric Volume Preserving Mean Curvature Flow
M Athanassenas, S Kandanaarachchi
arXiv preprint arXiv:1203.5671, 2012
24*2012
Early detection of vegetation ignition due to powerline faults
S Kandanaarachchi, N Anantharama, MA Munoz
IEEE Transactions on Power Delivery 36 (3), 1324-1334, 2020
232020
Unsupervised anomaly detection ensembles using item response theory
S Kandanaarachchi
Information Sciences 587, 142-163, 2022
182022
Dimension reduction for outlier detection using DOBIN
S Kandanaarachchi, RJ Hyndman
Journal of Computational and Graphical Statistics, 1-16, 2020
112020
Support vector machines for characterising Whipple shield performance
S Ryan, S Kandanaarachchi, K Smith-Miles
Procedia Engineering 103, 522-529, 2015
112015
Honeyboost: Boosting honeypot performance with data fusion and anomaly detection
S Kandanaarachchi, H Ochiai, A Rao
Expert Systems with Applications 201, 117073, 2022
82022
Instance space analysis for unsupervised outlier detection
S Kandanaarachchi, MA Munoz, K Smith-Miles
Evaluation and Experimental Design in Data Mining and Machine Learning 2019, 2019
72019
Datasets for outlier detection
S Kandanaarachchi, MM Acosta, K Smith-Miles, R Hyndman
URL: https://monash. figshare. com/articles/Datasets_12338_zip/7705127/4, 2019
62019
Leave-one-out kernel density estimates for outlier detection
S Kandanaarachchi, RJ Hyndman
42021
Axially symmetric volume preserving mean curvature flow
SP Kandanaarachchi
Monash University, 2011
42011
The application of machine learning in micrometeoroid and orbital debris impact protection and risk assessment for spacecraft
S Ryan, NM Sushma, H Le, AVA Kumar, J Berk, TM Nguyen, S Rana, ...
International Journal of Impact Engineering 181, 104727, 2023
32023
On the extension of axially symmetric volume flow and mean curvature flow
J Head, S Kandanaarachchi
arXiv preprint arXiv:1301.1125, 2013
32013
Unsupervised anomaly detection ensembles using item response theory
S Kandanaarachchi
Information Sciences 587, 142-163, 2022
22022
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