Hansika Hewamalage

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 14

Top Topics

Periodic Patterns

Recurrent Neural Networks

Current Status And Future

Simulation Study

Top Venues

Pattern Recognit.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Hansika Hewamalage, Klaus Ackermann, Christoph Bergmeir
Forecast evaluation for data scientists: common pitfalls and best practices. Data Min. Knowl. Discov. 37 (2) (2023)
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
The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond. CoRR (2023)
Hansika Hewamalage, Klaus Ackermann, Christoph Bergmeir
Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices. CoRR (2022)
Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara
Global models for time series forecasting: A Simulation study. Pattern Recognit. 124 (2022)
Hansika Hewamalage, Pablo Montero-Manso, Christoph Bergmeir, Rob J. Hyndman
A Look at the Evaluation Setup of the M5 Forecasting Competition. CoRR (2021)
Kasun Bandara, Hansika Hewamalage, Yuan-Hao Liu, Yanfei Kang, Christoph Bergmeir
Improving the accuracy of global forecasting models using time series data augmentation. Pattern Recognit. 120 (2021)
Kasun Bandara, Christoph Bergmeir, Hansika Hewamalage
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series With Multiple Seasonal Patterns. IEEE Trans. Neural Networks Learn. Syst. 32 (4) (2021)
Oskar Triebe, Hansika Hewamalage, Polina Pilyugina, Nikolay Laptev, Christoph Bergmeir, Ram Rajagopal
NeuralProphet: Explainable Forecasting at Scale. CoRR (2021)
Kasun Bandara, Hansika Hewamalage, Yuan-Hao Liu, Yanfei Kang, Christoph Bergmeir
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation. CoRR (2020)
Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara
Global Models for Time Series Forecasting: A Simulation Study. CoRR (2020)
Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions. CoRR (2019)
Kasun Bandara, Christoph Bergmeir, Hansika Hewamalage
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns. CoRR (2019)
Kasun Bandara, Peibei Shi, Christoph Bergmeir, Hansika Hewamalage, Quoc Tran, Brian Seaman
Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology. CoRR (2019)
Kasun Bandara, Peibei Shi, Christoph Bergmeir, Hansika Hewamalage, Quoc Tran, Brian Seaman
Sales Demand Forecast in E-commerce Using a Long Short-Term Memory Neural Network Methodology. ICONIP (3) (2019)
Bhagya Hettige, Hansika Hewamalage, Chathuranga Rajapaksha, Nuwan Wajirasena, Akila Pemasiri, Indika Perera
Evaluation of feature-based object identification for augmented reality applications on mobile devices. ICIIS (2015)