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Hansika Hewamalage
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2020 – today
- 2023
- [j4]Hansika Hewamalage, Klaus Ackermann
, Christoph Bergmeir
:
Forecast evaluation for data scientists: common pitfalls and best practices. Data Min. Knowl. Discov. 37(2): 788-832 (2023) - 2022
- [b1]Hansika Hewamalage:
Advancing Time Series Forecasting Techniques & Practices in a Big Data Environment. Monash University, Australia, 2022 - [j3]Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara
:
Global models for time series forecasting: A Simulation study. Pattern Recognit. 124: 108441 (2022) - [i8]Hansika Hewamalage, Klaus Ackermann, Christoph Bergmeir:
Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices. CoRR abs/2203.10716 (2022) - 2021
- [j2]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: 108148 (2021) - [j1]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): 1586-1599 (2021) - [i7]Hansika Hewamalage, Pablo Montero-Manso, Christoph Bergmeir, Rob J. Hyndman:
A Look at the Evaluation Setup of the M5 Forecasting Competition. CoRR abs/2108.03588 (2021) - [i6]Oskar Triebe, Hansika Hewamalage, Polina Pilyugina, Nikolay Laptev, Christoph Bergmeir, Ram Rajagopal:
NeuralProphet: Explainable Forecasting at Scale. CoRR abs/2111.15397 (2021) - 2020
- [i5]Kasun Bandara
, Hansika Hewamalage, Yuan-Hao Liu, Yanfei Kang, Christoph Bergmeir:
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation. CoRR abs/2008.02663 (2020) - [i4]Hansika Hewamalage
, Christoph Bergmeir, Kasun Bandara
:
Global Models for Time Series Forecasting: A Simulation Study. CoRR abs/2012.12485 (2020)
2010 – 2019
- 2019
- [c2]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: 462-474 - [i3]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 abs/1901.04028 (2019) - [i2]Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara
:
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions. CoRR abs/1909.00590 (2019) - [i1]Kasun Bandara
, Christoph Bergmeir, Hansika Hewamalage:
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns. CoRR abs/1909.04293 (2019) - 2015
- [c1]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: 170-175
Coauthor Index

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