AutoXPCR: Automated Multi-Objective Model Selection for Time Series Forecasting
Author:
Affiliation:
1. Lamarr Institute for Machine Learning and Artificial Intelligence, TU Dortmund University, Dortmund, North Rhine-Westphalia, Germany
Funder
Lamarr Institute for Machine Learning and Artificial Intelligence
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3637528.3672057
Reference49 articles.
1. AutoForecast: Automatic Time-Series Forecasting Model Selection
2. GluonTS: Probabilistic and Neural Time Series Modeling in Python;Alexandrov Alexander;Journal of Machine Learning Research (JMLR),2020
3. Review of ML and AutoML Solutions to Forecast Time-Series Data
4. Harnessing Prior Knowledge for Explainable Machine Learning: An Overview
5. Anastasia Borovykh Sander Bohte and Cornelis W Oosterlee. 2018. Conditional time series forecasting with convolutional neural networks. https://arxiv.org/abs/1703.04691
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