Evaluation of feature-based object identification for augmented reality applications on mobile devices. - Bhagya Hettige; Hansika Hewamalage; Chathuranga Rajapaksha; Nuwan Wajirasena; Akila Pemasiri; Indika Perera (ICIIS, 2015)

Sales Demand Forecast in E-commerce Using a Long Short-Term Memory Neural Network Methodology. - Kasun Bandara; Peibei Shi; Christoph Bergmeir; Hansika Hewamalage; Quoc Tran; Brian Seaman (ICONIP (3), 2019)

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions. - Hansika Hewamalage; Christoph Bergmeir; Kasun Bandara (CoRR, 2019)

A Look at the Evaluation Setup of the M5 Forecasting Competition. - Hansika Hewamalage; Pablo Montero-Manso; Christoph Bergmeir; Rob J. Hyndman (CoRR, 2021)

NeuralProphet: Explainable Forecasting at Scale. - Oskar Triebe; Hansika Hewamalage; Polina Pilyugina; Nikolay Laptev; Christoph Bergmeir; Ram Rajagopal (CoRR, 2021)

Improving the accuracy of global forecasting models using time series data augmentation. - Kasun Bandara; Hansika Hewamalage; Yuan-Hao Liu; Yanfei Kang; Christoph Bergmeir (Pattern Recognit., 2021)

LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series With Multiple Seasonal Patterns. - Kasun Bandara; Christoph Bergmeir; Hansika Hewamalage (IEEE Trans. Neural Networks Learn. Syst., 2021)

Global models for time series forecasting: A Simulation study. - Hansika Hewamalage; Christoph Bergmeir; Kasun Bandara (Pattern Recognit., 2022)

Advancing Time Series Forecasting Techniques & Practices in a Big Data Environment. - Hansika Hewamalage (2022)

The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond. - Direnc Pekaslan; Jose Maria Alonso-Moral; Kasun Bandara; Christoph Bergmeir; Juan Bernabé-Moreno; Robert Eigenmann; Nils Einecke; Selvi Ergen; Rakshitha Godahewa; Hansika Hewamalage; Jesus Lago; Steffen Limmer; et al. (CoRR, 2023)

Forecast evaluation for data scientists: common pitfalls and best practices. - Hansika Hewamalage; Klaus Ackermann; Christoph Bergmeir (Data Min. Knowl. Discov., 2023)