Few-Shot Forecasting of Time-Series with Heterogeneous Channels

Author:

Brinkmeyer LukasORCID,Drumond Rafael RegoORCID,Burchert Johannes,Schmidt-Thieme LarsORCID

Publisher

Springer Nature Switzerland

Reference54 articles.

1. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);SP Arango,2021

2. Bagnall, A., et al.: The UEA multivariate time series classification archive (2018). arXiv preprint arXiv:1811.00075 (2018)

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4. Brinkmeyer, L., Drumond, R.R., Scholz, R., Grabocka, J., Schmidt-Thieme, L.: Chameleon: learning model initializations across tasks with different schemas. arXiv preprint arXiv:1909.13576 (2019)

5. Chollet, F.: Xception: deep learning with depthwise separable convolutions. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1251–1258 (2017)

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1. Meta-Learning for Time Series Analysis and/or Forecasting: Concept Review and Comprehensive Critical Comparative Survey;Lecture Notes in Networks and Systems;2024

2. Few-Shot Human Motion Prediction for Heterogeneous Sensors;Advances in Knowledge Discovery and Data Mining;2023

3. Boosting Generalized Few-Shot Learning by Scattering Intra-class Distribution;Machine Learning and Knowledge Discovery in Databases: Research Track;2023

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