Jingwei Too

Last seen: 1 year ago | Active since 2019

Followers: 6 Following: 0

Professional Interests: Feature Selection, Metaheuristics, Machine Learning, Data Mining, and Signal Processing

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Submitted

Whale Optimization Algorithm for Feature Selection
Application of Whale Optimization Algorithm (WOA) in the feature selection tasks.

3 years ago | 8 downloads |

Submitted

Binary Grey Wolf Optimization for Feature Selection
Demonstration on how binary grey wolf optimization (BGWO) applied in the feature selection task.

3 years ago | 10 downloads |

Submitted

Wrapper Feature Selection Toolbox
This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc.

3 years ago | 13 downloads |

Submitted

Salp Swarm Algorithm for Feature Selection
Application of Salp Swarm Algorithm (SSA) in the feature selection tasks.

4 years ago | 2 downloads |

Submitted

Equilibrium Optimizer for Feature Selection
Application of Equilibrium Optimizer (EO) in the feature selection tasks.

4 years ago | 3 downloads |

Submitted

Binary Dragonfly Algorithm for Feature Selection
Application of Binary Dragonfly Algorithm (BDA) in the feature selection tasks.

4 years ago | 1 download |

Submitted

Ant Colony Optimization for Feature Selection
Implantation of ant colony optimization (ACO) without predetermined number of selected features in feature selection tasks.

4 years ago | 2 downloads |

Submitted

Sine Cosine Algorithm for Feature Selection
Application of Sine Cosine Algorithm (SCA) in the feature selection tasks.

4 years ago | 4 downloads |

Submitted

Henry Gas Solubility Optimization for Feature Selection
Application of Henry Gas Solubility Optimization (HGSO) in the feature selection tasks.

4 years ago | 4 downloads |

Submitted

Particle Swarm Optimization for Feature Selection
Application of Particle Swarm Optimization (PSO) in the feature selection tasks.

4 years ago | 4 downloads |

Submitted

Dimensionality Reduction Demonstration
Application of principal component analysis (PCA) for feature reduction.

4 years ago | 3 downloads |

Submitted

Filter Feature Selection Toolbox
Simple, fast and ease of implementation. The filter feature selection methods include Relief-F, PCC, TV, and NCA.

4 years ago | 9 downloads |

Submitted

Deep Learning Toolbox
This toolbox offers convolution neural networks (CNN) using k-fold cross-validation, which are simple and easy to implement.

4 years ago | 13 downloads |

Submitted

Neural Network Toolbox
This toolbox contains 6 types of neural networks, which is simple and easy to implement.

4 years ago | 4 downloads |

Submitted

Ant Colony System for Feature Selection
Application of ant colony system (ACS) for feature selection problems.

4 years ago | 2 downloads |

Submitted

Binary Differential Evolution for Feature Selection
The binary version of Differential Evolution (DE), named as Binary Differential Evolution (BDE) is applied for feature selection...

4 years ago | 7 downloads |

Submitted

Binary Tree Growth Algorithm for Feature Selection
A feature selection algorithm, named as Binary Tree Growth Algorithm (BTGA) is applied for feature selection tasks.

4 years ago | 2 downloads |

Submitted

Atom Search Optimization for Feature Selection
Application of Atom Search Optimization (ASO) in the feature selection tasks.

4 years ago | 1 download |

Submitted

Binary Particle Swarm Optimization for Feature Selection
Simple algorithm shows how binary particle swarm optimization (BPSO) used in feature selection problem.

4 years ago | 8 downloads |

Submitted

Binary Harris Hawk Optimization for Feature Selection
The binary version of Harris Hawk Optimization (HHO), called Binary Harris Hawk Optimization (BHHO) is applied for feature selec...

4 years ago | 6 downloads |

Submitted

Genetic Algorithm for Feature Selection
Simple algorithm shows how the genetic algorithm (GA) used in the feature selection problem.

4 years ago | 4 downloads |

Submitted

Binary Atom Search Optimization for Feature Selection
A new feature selection algorithm, named as Binary Atom Search Optimization (BASO) is applied for feature selection tasks.

4 years ago | 3 downloads |

Submitted

Machine Learning Toolbox
This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, NB, and etc., which are simpler and easy to implement...

4 years ago | 41 downloads |

Submitted

EMG Feature Extraction Toolbox
This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals app...

4 years ago | 37 downloads |

Submitted

EEG Feature Extraction Toolbox
This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) application...

4 years ago | 40 downloads |

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