Kaan Demir

Kaan Demir profile picture

PhD Student
School of Engineering and Computer Science

Thesis Info

Research Interests: Multi-label Classification, Dimensionality Reduction, Sparsity Regularisation, Sparse Coding, Evolutionary Computation
Thesis Title: Sparsity-based Dimensionality Reduction for Multi-label Classification
Supervisor: Prof Bing Xue, Dr Bach Nguyen

 

Publications

  1. K. Demir, B. H. Nguyen, B. Xue, and M. Zhang, "A Decomposition based Multi-objective Evolutionary Algorithm with ReliefF based Local Search and Solution Repair Mechanism for Feature Selection," 2020 IEEE Congress on Evolutionary Computation (CEC), Glasgow, UK, 2020, pp. 1-8.
  2. K. Demir, B. H. Nguyen, B. Xue, and M. Zhang. 2021. 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.

  3. K. Demir, B. H. Nguyen, B. Xue and M. Zhang, "Multi-objective Multi-label Feature Selection with an Aggregated Performance Metric and Dominance-based Initialisation," 2021 IEEE Congress on Evolutionary Computation (CEC), 2021, pp. 760-767.