Rakshitha Godahewa

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 16

Top Topics

Mining High Utility Itemsets

Incremental Clustering

Top Venues

NeurIPS Datasets and Benchmarks

Publications

Xueying Long, Quang Bui, Grady Oktavian, Daniel F. Schmidt, Christoph Bergmeir, Rakshitha Godahewa, Seong Per Lee, Kaifeng Zhao, Paul Condylis
Scalable Probabilistic Forecasting in Retail with Gradient Boosted Trees: A Practitioner's Approach. CoRR (2023)
Rakshitha Godahewa, Christoph Bergmeir, Zeynep Erkin Baz, Chengjun Zhu, Zhangdi Song, Salvador García, Dario Benavides
On Forecast Stability. CoRR (2023)
Rakshitha Godahewa, Geoffrey I. Webb, Daniel F. Schmidt, Christoph Bergmeir
SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting. Mach. Learn. 112 (7) (2023)
Ziyi Liu, Rakshitha Godahewa, Kasun Bandara, Christoph Bergmeir
Handling Concept Drift in Global Time Series Forecasting. CoRR (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)
Rakshitha Godahewa, Chang Deng, Arnaud Prouzeau, Christoph Bergmeir
A Generative Deep Learning Framework Across Time Series to Optimize the Energy Consumption of Air Conditioning Systems. IEEE Access 10 (2022)
Rakshitha Godahewa, Geoffrey I. Webb, Daniel F. Schmidt, Christoph Bergmeir
SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series Forecasting. CoRR (2022)
Christoph Bergmeir, Frits de Nijs, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John M. Betts, Quang Bui, Nam Trong Dinh, Nils Einecke, Rasul Esmaeilbeigi, Scott Ferraro, Priya Galketiya, Evgenii Genov, Robert Glasgow, Rakshitha Godahewa, Yanfei Kang, Steffen Limmer, Luis Magdalena, Pablo Montero-Manso, Daniel Peralta, Yogesh Pipada Sunil Kumar, Alejandro Rosales-Pérez, Julian Ruddick, Akylas C. Stratigakos, Peter J. Stuckey, Guido Tack, Isaac Triguero, Rui Yuan
Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy. CoRR (2022)
Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso
Monash Time Series Forecasting Archive. CoRR (2021)
Rakshitha Godahewa, Kasun Bandara, Geoffrey I. Webb, Slawek Smyl, Christoph Bergmeir
Ensembles of localised models for time series forecasting. Knowl. Based Syst. 233 (2021)
Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso
Monash Time Series Forecasting Archive. NeurIPS Datasets and Benchmarks (2021)
Rakshitha Godahewa, Trevor Yann, Christoph Bergmeir, François Petitjean
Seasonal Averaged One-Dependence Estimators: A Novel Algorithm to Address Seasonal Concept Drift in High-Dimensional Stream Classification. IJCNN (2020)
Rakshitha Godahewa, Kasun Bandara, Geoffrey I. Webb, Slawek Smyl, Christoph Bergmeir
Ensembles of Localised Models for Time Series Forecasting. CoRR (2020)
Rakshitha Godahewa, Chang Deng, Arnaud Prouzeau, Christoph Bergmeir
Simulation and Optimisation of Air Conditioning Systems using Machine Learning. CoRR (2020)
Rakshitha Godahewa, Trevor Yann, Christoph Bergmeir, François Petitjean
Seasonal Averaged One-Dependence Estimators: A Novel Algorithm to Address Seasonal Concept Drift in High-Dimensional Stream Classification. CoRR (2020)
Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Pablo Montero-Manso
A Strong Baseline for Weekly Time Series Forecasting. CoRR (2020)