PhD Student
School of Engineering and Computer Science
K. Demir, et. al., Sparsity-based evolutionary multi-objective feature selection for multi-label classification. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '21). Association for Computing Machinery, New York, NY, USA, 147–148.
ResearchAreas | Multi-label Classification, Sparse Learning, Representation Learning |
ThesisTitle | Sparsity-based Feature Selection for Multi-label Classification |
Supervisor | Prof Bing Xue, Dr Bach Nguyen |
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