Sevvandi Kandanaarachchi
Sevvandi Kandanaarachchi
Research Fellow, Department of Econometrics & Business Statistics, Monash University
Verified email at monash.edu - Homepage
TitleCited byYear
Convergence of axially symmetric volume-preserving mean curvature flow
M Athanassenas, S Kandanaarachchi
Pacific Journal of Mathematics 259 (1), 41-54, 2012
152012
Support vector machines for characterising Whipple shield performance
S Ryan, S Kandanaarachchi, K Smith-Miles
Procedia Engineering 103, 522-529, 2015
42015
Axially symmetric volume preserving mean curvature flow
SP Kandanaarachchi
Monash University, 2011
42011
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
32016
On the extension of axially symmetric volume flow and mean curvature flow
S Kandanaarachchi
arXiv preprint arXiv:1301.1125, 2013
32013
Anomaly detection in streaming nonstationary temporal data
P Talagala, R Hyndman, K Smith-Miles, S Kandanaarachchi, M Munoz
Monash Econometrics and Business Statistics Working Papers, 2018
22018
Singularities of Axially Symmetric Volume Preserving Mean Curvature Flow
M Athanassenas, S Kandanaarachchi
arXiv preprint arXiv:1203.5671, 2012
22012
Predicting Sediment and Nutrient Concentrations in Rivers Using High Frequency Water Quality Surrogates
C Leigh, S Kandanaarachchi, JM McGree, RJ Hyndman, O Alsibai, ...
arXiv preprint arXiv:1810.12499, 2018
12018
Early classification of spatio-temporal events using time-varying models
S Kandanaarachchi, RJ Hyndman, K Smith-Miles
2018
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, ...
arXiv preprint arXiv:1810.13076, 2018
2018
On normalization and algorithm selection for unsupervised outlier detection
S Kandanaarachchi, MA Munoz, RJ Hyndman, K Smith-Miles
Monash Econometrics and Business Statistics Working Papers, 2018
2018
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Articles 1–11