Παρακολούθηση
Sevvandi Kandanaarachchi
Sevvandi Kandanaarachchi
CSIRO's Data61
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα data61.csiro.au - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
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
1002019
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
702020
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
682020
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
432019
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
402019
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
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
312020
Convergence of axially symmetric volume-preserving mean curvature flow
M Athanassenas, S Kandanaarachchi
Pacific Journal of Mathematics 259 (1), 41-54, 2012
252012
Singularities of Axially Symmetric Volume Preserving Mean Curvature Flow
M Athanassenas, S Kandanaarachchi
arXiv preprint arXiv:1203.5671, 2012
25*2012
Unsupervised anomaly detection ensembles using item response theory
S Kandanaarachchi
Information Sciences 587, 142-163, 2022
202022
Dimension reduction for outlier detection using DOBIN
S Kandanaarachchi, RJ Hyndman
Journal of Computational and Graphical Statistics, 1-16, 2020
122020
Honeyboost: Boosting honeypot performance with data fusion and anomaly detection
S Kandanaarachchi, H Ochiai, A Rao
Expert Systems with Applications 201, 117073, 2022
112022
Support vector machines for characterising Whipple shield performance
S Ryan, S Kandanaarachchi, K Smith-Miles
Procedia Engineering 103, 522-529, 2015
112015
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
82019
Leave-one-out kernel density estimates for outlier detection
S Kandanaarachchi, RJ Hyndman
Journal of Computational and Graphical Statistics, 2021
72021
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
62023
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
Axially symmetric volume preserving mean curvature flow
SP Kandanaarachchi
Monash University, 2011
42011
Comprehensive Algorithm Portfolio Evaluation using Item Response Theory
S Kandanaarachchi, K Smith-Miles
Journal of Machine Learning Research, 2023
32023
Short‐term prediction of stream turbidity using surrogate data and a meta‐model approach: A case study
B Rele, C Hogan, S Kandanaarachchi, C Leigh
Hydrological Processes 37 (4), e14857, 2023
32023
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