Kaan Demir

According to our database, Kaan Demir authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Dual Sparse Structured Subspaces and Graph Regularisation for Particle Swarm Optimisation-Based Multi-Label Feature Selection.

Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang

IEEE Comput. Intell. Mag., February, 2024

A Consistent Lebesgue Measure for Multi-label Learning.

Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang

CoRR, 2024

Evolutionary Sparse Coding and Graph Regularisation for Embedded Multi-label Feature Selection.

Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Improving Inference of Biochemical Composition in Marine Biomass via Genetic Algorithm-Based Feature Selection on Raman Spectroscopic Data.

Kaan Demir, Bach Hoai Nguyen, Jeremy S. Rooney, Bing Xue, Mengjie Zhang, Kirill Lagutin, Andrew MacKenzie, Keith C. Gordon, Daniel P. Killeen

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

Co-operative Co-evolutionary Many-objective Embedded Multi-label Feature Selection with Decomposition-based PSO.

Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022

Particle swarm optimisation for sparsity-based feature selection in multi-label classification.

Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

Multi-objective Feature Selection with a Sparsity-based Objective Function and Gradient Local Search for Multi-label Classification.

Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang

Proceedings of the 2021 International Conference on Data Mining, 2021

Sparsity-based evolutionary multi-objective feature selection for multi-label classification.

Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Multi-objective Multi-label Feature Selection with an Aggregated Performance Metric and Dominance-based Initialisation.

Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

A Decomposition based Multi-objective Evolutionary Algorithm with ReliefF based Local Search and Solution Repair Mechanism for Feature Selection.

Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2020