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Heda Song
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2020 – today
- 2023
- [i3]Direnc Pekaslan, Jose Maria Alonso-Moral
, Kasun Bandara
The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond. CoRR abs/2311.04007 (2023) - 2022
- [b1]Heda Song:
Novel meta-learning approaches for few-shot image classification. University of Nottingham, UK, 2022 - [j5]Heda Song
A fusion spatial attention approach for few-shot learning. Inf. Fusion 81: 187-202 (2022) - [j4]Li Zhang, Heda Song, Nikolaos Aletras, Haiping Lu
Node-Feature Convolution for Graph Convolutional Networks. Pattern Recognit. 128: 108661 (2022) - 2021
- [j3]Heda Song, Mercedes Torres Torres, Ender Özcan
L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout. Neurocomputing 442: 200-208 (2021) - [c1]Stepan Romanov, Heda Song, Michel F. Valstar, Don Sharkey, Caz Henry, Isaac Triguero
Few-Shot Learning for Postnatal Gestational Age Estimation. IJCNN 2021: 1-8
2010 – 2019
- 2019
- [j2]Heda Song
A review on the self and dual interactions between machine learning and optimisation. Prog. Artif. Intell. 8(2): 143-165 (2019) - [i2]Heda Song, Mercedes Torres Torres, Ender Özcan, Isaac Triguero:
L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout. CoRR abs/1904.04339 (2019) - 2018
- [i1]Li Zhang, Heda Song, Haiping Lu:
Graph Node-Feature Convolution for Representation Learning. CoRR abs/1812.00086 (2018) - 2017
- [j1]Ping Zhou
Data-Driven Nonlinear Subspace Modeling for Prediction and Control of Molten Iron Quality Indices in Blast Furnace Ironmaking. IEEE Trans. Control. Syst. Technol. 25(5): 1761-1774 (2017)
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