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Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices


Apr 04, 2022
Hansika Hewamalage, Klaus Ackermann, Christoph Bergmeir


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LIMREF: Local Interpretable Model Agnostic Rule-based Explanations for Forecasting, with an Application to Electricity Smart Meter Data


Feb 15, 2022
Dilini Rajapaksha, Christoph Bergmeir

* Accepted as a conference paper to AAAI 2022 

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NeuralProphet: Explainable Forecasting at Scale


Nov 29, 2021
Oskar Triebe, Hansika Hewamalage, Polina Pilyugina, Nikolay Laptev, Christoph Bergmeir, Ram Rajagopal

* NeuralProphet can be installed with pip or from https://github.com/ourownstory/neural_prophet - Documentation is available at https://neuralprophet.com 

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LoMEF: A Framework to Produce Local Explanations for Global Model Time Series Forecasts


Nov 13, 2021
Dilini Rajapaksha, Christoph Bergmeir, Rob J Hyndman

* 46 pages, 11 figures, 21 tables 

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Pruning vs XNOR-Net: A Comprehensive Study of Deep Learning for Audio Classification on Edge-devices


Aug 29, 2021
Md Mohaimenuzzaman, Christoph Bergmeir, Bernd Meyer

* 11 pages 

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Pruning vs XNOR-Net: A Comprehensive Study on Deep Learning for Audio Classification in Microcontrollers


Aug 13, 2021
Md Mohaimenuzzaman, Christoph Bergmeir, Bernd Meyer

* 10 pages 

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A Look at the Evaluation Setup of the M5 Forecasting Competition


Aug 08, 2021
Hansika Hewamalage, Pablo Montero-Manso, Christoph Bergmeir, Rob J Hyndman


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Monash Time Series Forecasting Archive


May 14, 2021
Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso

* 33 pages, 3 figures, 15 tables 

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Environmental Sound Classification on the Edge: A Pipeline for Deep Acoustic Networks on Extremely Resource-Constrained Devices


Apr 06, 2021
Md Mohaimenuzzaman, Christoph Bergmeir, Ian Thomas West, Bernd Meyer


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Environmental Sound Classification on the Edge: Deep Acoustic Networks for Extremely Resource-Constrained Devices


Mar 22, 2021
Md Mohaimenuzzaman, Christoph Bergmeir, Ian Thomas West, Bernd Meyer


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