Kasun Bandara
Kasun Bandara
Research Fellow, School of Computing and Information Systems, The University of Melbourne
Verified email at unimelb.edu.au - Homepage
Cited by
Cited by
Forecasting Across Time Series Databases using Recurrent Neural Networks on Groups of Similar Series: A Clustering Approach
K Bandara, C Bergmeir, S Smyl
Expert Systems with Applications, 2017
Recurrent neural networks for time series forecasting: Current status and future directions
H Hewamalage, C Bergmeir, K Bandara
International Journal of Forecasting, 2019
Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach
K Bandara, C Bergmeir, S Smyl
Expert Systems with Applications 140 (112896), 2019
Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology
K Bandara, P Shi, C Bergmeir, H Hewamalage, Q Tran, B Seaman
Proceedings of the 2019 International Conference on Neural Information …, 2019
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns
K Bandara, C Bergmeir, H Hewamalage
IEEE Transactions on Neural Networks and Learning Systems, 2020
Towards Accurate Predictions and Causal'What-if'Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand
K Bandara, C Bergmeir, S Campbell, D Scott, D Lubman
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
The Importance of Environmental Factors in Forecasting Australian Power Demand
A Eshragh, B Ganim, T Perkins, K Bandara
arXiv preprint arXiv:1911.00817, 2020
Towards optimising Wi-Fi energy consumption in mobile phones: A data driven approach
K Bandara, A Caldera
Proceedings of the 2015 Advances in ICT for Emerging Regions, 226-235, 2015
Global models for time series forecasting: A simulation study
H Hewamalage, C Bergmeir, K Bandara
arXiv preprint arXiv:2012.12485, 2020
An Interpretable Machine Learning Approach to Predicting Customer Behavior on JD. Com
F Iravani, S Alizamir, A Eshragh, K Bandara
Com (October 1, 2020), 2020
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation
K Bandara, H Hewamalage, YH Liu, Y Kang, C Bergmeir
arXiv preprint arXiv:2008.02663, 2020
Ensembles of Localised Models for Time Series Forecasting
R Godahewa, K Bandara, GI Webb, S Smyl, C Bergmeir
arXiv preprint arXiv:2012.15059, 2020
Forecasting sets of similar time series with recurrent neural networks
K Bandara, C Bergmeir, S Smyl
37th International Symposium on Forecasting (ISF 2017), 2017
Effective utilisation of data mining techniques for stock market information forecasting
K Bandara, A Caldera
University of Colombo School of Computing, 2013
The system can't perform the operation now. Try again later.
Articles 1–14