Pablo Montero-Manso | DeepAI

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Featured Co-authors

Geoffrey I. Webb
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Christoph Bergmeir
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Rob J Hyndman
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Chang Wei Tan
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Hansika Hewamalage
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Ángel López-Oriona
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Rakshitha Wathsadini Godahewa
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José Antonio Vilar Fernández
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Alexey Chernikov
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∙ 04/30/2023

Time series clustering based on prediction accuracy of global forecasting models

In this paper, a novel method to perform model-based clustering of time ...

0 Ángel López-Oriona, et al. ∙

∙ 09/15/2022

FRANS: Automatic Feature Extraction for Time Series Forecasting

Feature extraction methods help in dimensionality reduction and capture ...

0 Alexey Chernikov, et al. ∙

∙ 08/08/2021

A Look at the Evaluation Setup of the M5 Forecasting Competition

Forecast evaluation plays a key role in how empirical evidence shapes th...

3 Hansika Hewamalage, et al. ∙

∙ 05/14/2021

Monash Time Series Forecasting Archive

Many businesses and industries nowadays rely on large quantities of time...

11 Rakshitha Wathsadini Godahewa, et al. ∙

∙ 10/16/2020

A Strong Baseline for Weekly Time Series Forecasting

Many businesses and industries require accurate forecasts for weekly tim...

0 Rakshitha Wathsadini Godahewa, et al. ∙

∙ 08/02/2020

Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality

Forecasting groups of time series is of increasing practical importance,...

13 Pablo Montero-Manso, et al. ∙

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