Community Profile

photo

Jingwei Too


Last seen: 7 maanden ago Active since 2019

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

Statistics

All
  • Personal Best Downloads Level 5
  • GitHub Submissions Level 3
  • 5-Star Galaxy Level 5
  • Explorer
  • Revival Level 1
  • First Review
  • First Submission
  • Introduction to MATLAB Master
  • Community Group Solver
  • Knowledgeable Level 1
  • First Answer
  • Solver

View badges

Content Feed

View by

Submitted


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

meer dan 2 jaar ago | 17 downloads |

Thumbnail

Submitted


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

ongeveer 3 jaar ago | 17 downloads |

Thumbnail

Submitted


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

ongeveer 3 jaar ago | 20 downloads |

Thumbnail

Submitted


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

ongeveer 3 jaar ago | 8 downloads |

Thumbnail

Submitted


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

ongeveer 3 jaar ago | 9 downloads |

Thumbnail

Submitted


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

ongeveer 3 jaar ago | 4 downloads |

Thumbnail

Submitted


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

ongeveer 3 jaar ago | 8 downloads |

Thumbnail

Submitted


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

ongeveer 3 jaar ago | 4 downloads |

Thumbnail

Submitted


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

ongeveer 3 jaar ago | 1 download |

Thumbnail

Submitted


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

ongeveer 3 jaar ago | 9 downloads |

Thumbnail

Submitted


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

ongeveer 3 jaar ago | 8 downloads |

Thumbnail

Submitted


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

ongeveer 3 jaar ago | 4 downloads |

Thumbnail

Submitted


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

ongeveer 3 jaar ago | 20 downloads |

Thumbnail

Submitted


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

ongeveer 3 jaar ago | 8 downloads |

Thumbnail

Submitted


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

ongeveer 3 jaar ago | 4 downloads |

Thumbnail

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...

ongeveer 3 jaar ago | 5 downloads |

Thumbnail

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.

ongeveer 3 jaar ago | 5 downloads |

Thumbnail

Submitted


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

ongeveer 3 jaar ago | 1 download |

Thumbnail

Submitted


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

ongeveer 3 jaar ago | 15 downloads |

Thumbnail

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...

ongeveer 3 jaar ago | 8 downloads |

Thumbnail

Submitted


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

ongeveer 3 jaar ago | 14 downloads |

Thumbnail

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.

ongeveer 3 jaar ago | 2 downloads |

Thumbnail

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...

meer dan 3 jaar ago | 70 downloads |

Thumbnail

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...

meer dan 3 jaar ago | 68 downloads |

Thumbnail

Submitted


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

meer dan 3 jaar ago | 39 downloads |

Thumbnail

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-...

meer dan 3 jaar 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...

meer dan 3 jaar 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_...

meer dan 3 jaar 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...

meer dan 3 jaar 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...

meer dan 3 jaar ago | 0

Load more