Hansika Hewamalage

16 papers Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Forecast evaluation for data scientists: common pitfalls and best practices. Data Min. Knowl. Discov. Hansika Hewamalage, Klaus Ackermann, Christoph Bergmeir
2023	J	`jnl`	The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond. CoRR 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, Sven Rebhan, Boris Rabinovich, Dilini Rajapaksha, Heda Song, Christian Wagner, Wenlong Wu, Luis Magdalena, Isaac Triguero
2022	—	`—`	Advancing Time Series Forecasting Techniques & Practices in a Big Data Environment. Hansika Hewamalage
2022	J	`jnl`	Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices. CoRR Hansika Hewamalage, Klaus Ackermann, Christoph Bergmeir
2022	J	`jnl`	Global models for time series forecasting: A Simulation study. Pattern Recognit. Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara
2021	J	`jnl`	A Look at the Evaluation Setup of the M5 Forecasting Competition. CoRR Hansika Hewamalage, Pablo Montero-Manso, Christoph Bergmeir, Rob J. Hyndman
2021	J	`jnl`	Improving the accuracy of global forecasting models using time series data augmentation. Pattern Recognit. Kasun Bandara, Hansika Hewamalage, Yuan-Hao Liu, Yanfei Kang, Christoph Bergmeir
2021	J	`jnl`	LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series With Multiple Seasonal Patterns. IEEE Trans. Neural Networks Learn. Syst. Kasun Bandara, Christoph Bergmeir, Hansika Hewamalage
2021	J	`jnl`	NeuralProphet: Explainable Forecasting at Scale. CoRR Oskar Triebe, Hansika Hewamalage, Polina Pilyugina, Nikolay Laptev, Christoph Bergmeir, Ram Rajagopal
2020	J	`jnl`	Global Models for Time Series Forecasting: A Simulation Study. CoRR Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara
2020	J	`jnl`	Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation. CoRR Kasun Bandara, Hansika Hewamalage, Yuan-Hao Liu, Yanfei Kang, Christoph Bergmeir
2019	J	`jnl`	LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns. CoRR Kasun Bandara, Christoph Bergmeir, Hansika Hewamalage
2019	J	`jnl`	Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions. CoRR Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara
2019	—	`conf`	Sales Demand Forecast in E-commerce Using a Long Short-Term Memory Neural Network Methodology. ICONIP (3) Kasun Bandara, Peibei Shi, Christoph Bergmeir, Hansika Hewamalage, Quoc Tran, Brian Seaman
2019	J	`jnl`	Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology. CoRR Kasun Bandara, Peibei Shi, Christoph Bergmeir, Hansika Hewamalage, Quoc Tran, Brian Seaman
2015	—	`conf`	Evaluation of feature-based object identification for augmented reality applications on mobile devices. ICIIS Bhagya Hettige, Hansika Hewamalage, Chathuranga Rajapaksha, Nuwan Wajirasena, Akila Pemasiri, Indika Perera