Heda Song - researchr alias

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Viewing Publication 1 - 7 from 7

2022

Novel meta-learning approaches for few-shot image classificationHeda Song. PhD thesis, University of Nottingham, UK, 2022. [doi]

A fusion spatial attention approach for few-shot learningHeda Song, Bowen Deng, Michael P. Pound, Ender Özcan, Isaac Triguero. inffus, 81:187-202, 2022. [doi]

Node-Feature Convolution for Graph Convolutional NetworksLi Zhang, Heda Song, Nikolaos Aletras, Haiping Lu. PR, 128:108661, 2022. [doi]

2021

Few-Shot Learning for Postnatal Gestational Age EstimationStepan Romanov, Heda Song, Michel F. Valstar, Don Sharkey, Caz Henry, Isaac Triguero, Mercedes Torres Torres. ijcnn 2021: 1-8 [doi]

L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level DropoutHeda Song, Mercedes Torres Torres, Ender Özcan, Isaac Triguero. ijon, 442:200-208, 2021. [doi]

2019

A review on the self and dual interactions between machine learning and optimisationHeda Song, Isaac Triguero, Ender Özcan. pai, 8(2):143-165, 2019. [doi]

2017

Data-Driven Nonlinear Subspace Modeling for Prediction and Control of Molten Iron Quality Indices in Blast Furnace IronmakingPing Zhou, Heda Song, Hong Wang, Tianyou Chai. tcst, 25(5):1761-1774, 2017. [doi]

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