← All authors Christoph Bergmeir Monash University (from arXiv:2209.08885, 2022) · ORCID · OpenAlex
39 papers in scope · 39 published · 2 on the econ.EM arXiv · 6,197 citations · h-index 20 (over the papers listed here)
Related authors The 20 authors closest to this one in our weighted citation graph, most related first.
Nisheeth K. Vishnoi Lingxiao Huang K. Sudhir Slawek Smyl Kasun Bandara Yingjie Kuang Zhe-Yuan Li Yuefang Gao Zhen-Wei Huang Tingwei Zhang Zhongjie Zeng Ling Huang Florian Ziel Minh-Ngoc Tran Robert Kohn Rafał Weron Richard Gerlach Chen Liu Chao Wang Paul Ghelasi Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md .
Papers (3 of 39)
On forecast stability
published 2025 · International Journal of Forecasting · 7 citations · first circulated 2023
with Rakshitha Godahewa, Zeynep Erkin Baz, Chengjun Zhu, Zhangdi Song, Salvador García, Dario Benavides
Predict+Optimize Problem in Renewable Energy Scheduling
published 2025 · IEEE Access · 12 citations · first circulated 2022
with Frits de Nijs, Evgenii Genov, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John T. Betts, Quang Neo Bui, Nam Trong Dinh, Nils Einecke, Rasul Esmaeilbeigi, Scott Ferraro, Priya Galketiya, …
Scalable probabilistic forecasting in retail with gradient boosted trees: A practitioner’s approach
published 2024 · International Journal of Production Economics · 3 citations · first circulated 2023
Fast Gibbs sampling for the local-seasonal-global trend Bayesian exponential smoothing model
published 2024 · International Journal of Forecasting · 11 citations · first circulated 2023
Paying attention to cardiac surgical risk: An interpretable machine learning approach using an uncertainty-aware attentive neural network
published 2023 · PLoS ONE · 6 citations
with Jahan C. Penny-Dimri, Christopher M. Reid, Jenni Williams-Spence, Andrew Cochrane, Julian A. Smith
published 2023 · IEEE Transactions on Power Systems · 3 citations · first circulated 2022
SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting
published 2023 · Machine Learning · 14 citations · first circulated 2022
with Rakshitha Godahewa, Geoffrey I. Webb, Daniel F. Schmidt, Daniel Schmidt
Adaptive dependency learning graph neural networks
published 2023 · Information Sciences · 32 citations
with Abishek Sriramulu, Nicolas Fourrier
Forecast evaluation for data scientists: common pitfalls and best practices
published 2022 · Data Mining and Knowledge Discovery · 210 citations
with Hansika Hewamalage, Klaus Ackermann
LoMEF: A framework to produce local explanations for global model time series forecasts
published 2022 · International Journal of Forecasting · 18 citations · first circulated 2021
with Dilini Rajapaksha, Rob J. Hyndman
Machine learning applications in hierarchical time series forecasting: Investigating the impact of promotions
published 2022 · International Journal of Forecasting · 31 citations · first circulated 2019
with Mahdi Abolghasemi, Garth Tarr, Rob J. Hyndman
Probabilistic Causal Effect Estimation With Global Neural Network Forecasting Models
published 2022 · IEEE Transactions on Neural Networks and Learning Systems · 11 citations
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification
published 2022 · Data Mining and Knowledge Discovery · 214 citations · first circulated 2021
with Chang Wei Tan, Angus Dempster, Geoffrey I. Webb
LIMREF: Local Interpretable Model Agnostic Rule-Based Explanations for Forecasting, with an Application to Electricity Smart Meter Data
published 2022 · Proceedings of the AAAI Conference on Artificial Intelligence · 13 citations
with Dilini Rajapaksha
An accurate and fully-automated ensemble model for weekly time series forecasting
published 2022 · International Journal of Forecasting · 14 citations
with Rakshitha Godahewa, Geoffrey I. Webb, Pablo Montero-Manso
published 2022 · International Journal of Forecasting · 843 citations
Model selection in reconciling hierarchical time series
published 2022 · Machine Learning · 3 citations · first circulated 2020
with Mahdi Abolghasemi, Rob J. Hyndman, Evangelos Spiliotis
Pruning vs XNOR-Net: A Comprehensive Study of Deep Learning for Audio Classification on Edge-Devices
published 2022 · IEEE Access · 33 citations · first circulated 2021
with Md Mohaimenuzzaman, Bernd Meyer, Mohaimenuzzaman
A Generative Deep Learning Framework Across Time Series to Optimize the Energy Consumption of Air Conditioning Systems
published 2022 · IEEE Access · 15 citations
with Rakshitha Godahewa, Chang Deng, Arnaud Prouzeau
Global models for time series forecasting: A Simulation study
published 2021 · Pattern Recognition · 12 citations
Ensembles of localised models for time series forecasting
published 2021 · Knowledge-Based Systems · 55 citations
Time series extrinsic regression
published 2021 · Data Mining and Knowledge Discovery · 11 citations · first circulated 2020
with Chang Wei Tan, François Petitjean, Geoffrey I. Webb
Recurrent Neural Networks for Time Series Forecasting: Current status and future directions
published 2020 · International Journal of Forecasting · 1290 citations
LoRMIkA: Local rule-based model interpretability with k-optimal associations
published 2020 · Information Sciences · 3 citations · first circulated 2019
with Dilini Rajapaksha, Wray Buntine
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series With Multiple Seasonal Patterns
published 2020 · IEEE Transactions on Neural Networks and Learning Systems · 220 citations
published 2019 · Expert Systems with Applications · 29 citations · first circulated 2017
Exploring the sources of uncertainty: Why does bagging for time series forecasting work?
published 2018 · European Journal of Operational Research · 158 citations
Designing a more efficient, effective and safe Medical Emergency Team (MET) service using data analysis
published 2017 · PLoS ONE · 19 citations
with Irma Bilgrami, Christopher Bain, Geoffrey I. Webb, Judit Orosz, David Pilcher
A note on the validity of cross-validation for evaluating autoregressive time series prediction
published 2017 · Computational Statistics & Data Analysis · 639 citations
Modelling risk-adjusted variation in length of stay among Australian and New Zealand ICUs
published 2017 · PLoS ONE · 24 citations
with Lahn Straney, Andrew Udy, Aidan Burrell, Sue Huckson, D. James Cooper, David Pilcher
Bagging exponential smoothing methods using STL decomposition and Box–Cox transformation
published 2016 · International Journal of Forecasting · 325 citations
with Rob J. Hyndman, José M. Benítez, C C
Memetic Algorithms with Local Search Chains in R : The Rmalschains Package
published 2016 · Journal of Statistical Software · 20 citations
with Daniel Molina, José M. Benítez
On the stopping criteria for k -Nearest Neighbor in positive unlabeled time series classification problems
published 2015 · Information Sciences · 31 citations
with Mabel González, Isaac Triguero, Yanet Rodríguez Sarabia, José M. Benítez
frbs : Fuzzy Rule-Based Systems for Classification and Regression in R
published 2015 · Journal of Statistical Software · 162 citations
with Lala Septem Riza, Francisco Herrera, José M. Benítez
Implementing algorithms of rough set theory and fuzzy rough set theory in the R package “RoughSets”
published 2014 · Information Sciences · 158 citations
with Lala Septem Riza, Andrzej Janusz, Chris Cornelis, Francisco Herrera, Dominik Śle ̧zak, José M. Benítez
On the usefulness of cross-validation for directional forecast evaluation
published 2014 · Computational Statistics & Data Analysis · 84 citations
with Mauro Costantini, José M. Benítez
Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-Switching Models
published 2012 · IEEE Transactions on Neural Networks and Learning Systems · 16 citations
with Isaac Triguero, Daniel Molina, Jose L Aznarte, José M. Benítez
On the use of cross-validation for time series predictor evaluation
published 2012 · Information Sciences · 1148 citations
with José M. Benítez
Neural Networks in R Using the Stuttgart Neural Network Simulator: RSNNS
published 2012 · Journal of Statistical Software · 300 citations · first circulated 2010
with José M. Benítez
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