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A review on the self and dual interactions between machine learning and optimisation., , and . Progress in AI, 8 (2): 143-165 (2019)The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond., , , , , , , , , and 10 other author(s). CoRR, (2023)Node-Feature Convolution for Graph Convolutional Networks., , , and . Pattern Recognit., (2022)Graph Node-Feature Convolution for Representation Learning., , and . CoRR, (2018)L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout., , , and . Neurocomputing, (2021)Data-Driven Nonlinear Subspace Modeling for Prediction and Control of Molten Iron Quality Indices in Blast Furnace Ironmaking., , , and . IEEE Trans. Control. Syst. Technol., 25 (5): 1761-1774 (2017)L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout., , , and . CoRR, (2019)A fusion spatial attention approach for few-shot learning., , , , and . Inf. Fusion, (2022)Novel meta-learning approaches for few-shot image classification.. University of Nottingham, UK, (2022)British Library, EThOS.Few-Shot Learning for Postnatal Gestational Age Estimation., , , , , , and . IJCNN, page 1-8. IEEE, (2021)