Kasun Bandara

发表

A fast and scalable ensemble of global models with long memory and data partitioning for the M5 forecasting competition

Kasun Bandara, Hansika Hewamalage, Rakshitha Godahewa, 2021, International Journal of Forecasting.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions

C. Bergmeir, Kasun Bandara, Hansika Hewamalage, 2019, International Journal of Forecasting.

Study of Planetary Boundary Layer, Air Pollution, Air Quality Models and Aerosol Transport Using Ceilometers in New South Wales (NSW), Australia

John Kirkwood, M. Kirley, J. Silver, 2022, Atmosphere.

Study of Planetary Boundary Layer and Aerosol Transport Using Ceilometer and Air Quality Modelling in New South Wales (NSW), Australia

John Kirkwood, J. Silver, Stephen J. White, 2021 .

A Hybrid Statistical-Machine Learning Approach for Analysing Online Customer Behavior: An Empirical Study

A. Eshragh, Kasun Bandara, Saed Alizami, 2022, ArXiv.

Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation pdf

Yanfei Kang, Christoph Bergmeir, Hansika Hewamalage, 2020, Pattern Recognit..

LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series With Multiple Seasonal Patterns

C. Bergmeir, Kasun Bandara, Hansika Hewamalage, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach

Christoph Bergmeir, Slawek Smyl, Kasun Bandara, 2017, Expert Syst. Appl..

MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns

Rob J Hyndman, Christoph Bergmeir, Kasun Bandara, 2021, International Journal of Operational Research.

Ensembles of Localised Models for Time Series Forecasting

Geoffrey I. Webb, Christoph Bergmeir, Slawek Smyl, 2020, Knowl. Based Syst..

Towards Accurate Predictions and Causal ‘What-if’ Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand

Christoph Bergmeir, Sam Campbell, Kasun Bandara, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology

Peibei Shi, Christoph Bergmeir, Hansika Hewamalage, 2019, ICONIP.

Insights into the accuracy of social scientists’ forecasts of societal change

Mark E. Whiting, Ruslan K. Krenzler, Cendri A. C. Hutcherson, 2023, Nature Human Behaviour.

Global Models for Time Series Forecasting: A Simulation Study pdf

Christoph Bergmeir, Hansika Hewamalage, Kasun Bandara, 2020, Pattern Recognit..

The Importance of Environmental Factors in Forecasting Australian Power Demand

Ali Eshragh, Kasun Bandara, Benjamin Ganim, 2019, Environmental Modeling & Assessment.

Forecasting Across Time Series Databases using Long Short-Term Memory Networks on Groups of Similar Series pdf

Christoph Bergmeir, Slawek Smyl, Kasun Bandara, 2017, ArXiv.

Handling Concept Drift in Global Time Series Forecasting

Kasun Bandara, Rakshitha Godahewa, Ziyi Liu, 2023, ArXiv.

Can machine learning improve small area population forecasts? A forecast combination approach

M. Kirley, Kasun Bandara, Irina Grossman, 2022, Comput. Environ. Urban Syst..

Development and evaluation of probabilistic forecasting methods for small area populations

M. Kirley, Kasun Bandara, Irina Grossman, 2023, Environment and Planning B: Urban Analytics and City Science.