Explainable online ensemble of deep neural network pruning for time series forecasting

DOI10.1007/s10994-022-06218-4OpenAlexW4289524721WikidataQ114955298 ScholiaQ114955298MaRDI QIDQ2102399

Katharina Morik, Matthias Jakobs, Amal Saadallah

Publication date: 28 November 2022

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-022-06218-4

zbMATH Keywords

online learningtime series forecastingconcept driftdeep learningexplainabilityensemble pruningsaliency maps

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• UCI-ml

Cites Work

• Bagging predictors
• Optimal learning with Bernstein Online Aggregation
• The collected works of Wassily Hoeffding. Ed. by N. I. Fisher and P. K. Sen
• Ensembling neural networks: Many could be better than all
• Arbitrage of forecasting experts
• 10.1162/153244302760200713
• Many-Layered Learning
• A survey on concept drift adaptation
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Explainable online ensemble of deep neural network pruning for time series forecasting