Title
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FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting Li Shen Yuning Wei Yangzhu Wang Huaxin Qiu OOD AI4TS 13 7 0 19 Jun 2023
LightESD: Fully-Automated and Lightweight Anomaly Detection Framework for Edge Computing Ronit Das Tie-Mei Luo 19 2 0 20 May 2023
An algorithmic framework for the optimization of deep neural networks architectures and hyperparameters Julie Keisler El-Ghazali Talbi Sandra Claudel Gilles Cabriel 34 6 0 27 Feb 2023
AutoDOViz: Human-Centered Automation for Decision Optimization D. Weidele S. Afzal Abel N. Valente Cole Makuch Owen Cornec ... Radu Marinescu Paulito Palmes Elizabeth M. Daly Loraine Franke D. Haehn OffRL 43 4 0 19 Feb 2023
Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting Xinle Wu Dalin Zhang Miao Zhang Chenjuan Guo B. Yang Christian S. Jensen AI4TS 31 26 0 29 Nov 2022
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis Chaoli Zhang Tian Zhou Qingsong Wen Liang Sun AI4TS 34 66 0 18 Oct 2022
Efficient Automated Deep Learning for Time Series Forecasting Difan Deng Florian Karl Frank Hutter Bernd Bischl Marius Lindauer AI4TS 54 16 0 11 May 2022
Multi-Objective Model Selection for Time Series Forecasting Oliver Borchert David Salinas Valentin Flunkert Tim Januschowski Stephan Günnemann AI4TS 21 9 0 17 Feb 2022