Jingwei Too

Last seen: Today

101 total contributions since 2019

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

Jingwei Too's Badges

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Submitted

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

environ 2 mois ago | 53 downloads |

Submitted

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

environ 2 mois ago | 46 downloads |

Submitted

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

3 mois ago | 20 downloads |

Submitted

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

3 mois ago | 63 downloads |

Submitted

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

3 mois ago | 17 downloads |

Submitted

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

3 mois ago | 17 downloads |

Submitted

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

3 mois ago | 15 downloads |

Submitted

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

3 mois ago | 12 downloads |

Submitted

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

4 mois ago | 7 downloads |

Submitted

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

4 mois ago | 19 downloads |

Submitted

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

4 mois ago | 14 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 mois ago | 23 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 mois ago | 219 downloads |

Submitted

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

4 mois ago | 269 downloads |

Submitted

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

4 mois ago | 9 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 mois ago | 22 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 mois ago | 10 downloads |

Submitted

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

4 mois ago | 8 downloads |

Submitted

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

4 mois ago | 38 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 mois ago | 12 downloads |

Submitted

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

4 mois ago | 24 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 mois ago | 8 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 mois ago | 141 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 mois ago | 77 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 mois ago | 62 downloads |

Answered
Can anyone tell me how to solve this error?
Why don't you try on this toolbox https://www.mathworks.com/matlabcentral/fileexchange/71461-simple-machine-learning-algorithms-...

9 mois ago | 0

Answered
Eyes closed and Open EEG data predict?
Let say you have 10 participants, and 38 channels. You extract one feature (alpha power) from each participant. Then your featur...

9 mois ago | 1

Answered
what can I do to implement the features like Mean Absolute Value and variance using their given definition per channel or formula for a given signal in order to generate a feature vector?
you may have a look on this toolbox https://www.mathworks.com/matlabcentral/fileexchange/71514-emg-feature-extraction-toolbox?s_...

9 mois ago | 0

Answered
Eyes closed and Open EEG data predict?
You may follow these step (1) Extract the features from the EEG signals (for both eye closed and open) (2) You may perform the...

9 mois ago | 0

| accepted

Answered
How to use ReliefF algorithm for a dataset?
you may have a look on this toolbox https://www.mathworks.com/matlabcentral/fileexchange/71611-simple-filter-feature-selection-a...

9 mois ago | 0