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Jingwei Too


Last seen: 1 day ago Active since 2019

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.

2 months ago | 36 downloads |

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

7 months ago | 33 downloads |

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

7 months ago | 30 downloads |

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

9 months ago | 9 downloads |

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

9 months ago | 9 downloads |

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

9 months ago | 7 downloads |

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

9 months ago | 11 downloads |

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

9 months ago | 6 downloads |

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

9 months ago | 10 downloads |

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

9 months ago | 13 downloads |

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

9 months ago | 8 downloads |

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

9 months ago | 23 downloads |

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

9 months ago | 98 downloads |

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

9 months ago | 164 downloads |

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

9 months ago | 4 downloads |

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

9 months ago | 16 downloads |

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

9 months ago | 3 downloads |

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

9 months ago | 11 downloads |

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

9 months ago | 25 downloads |

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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...

9 months ago | 17 downloads |

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

9 months ago | 17 downloads |

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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.

9 months ago | 8 downloads |

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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...

9 months ago | 104 downloads |

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

9 months ago | 31 downloads |

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

9 months ago | 62 downloads |

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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-...

1 year 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...

1 year 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_...

1 year 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...

1 year 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...

1 year ago | 0

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