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Jingwei Too


Last seen: 11日 前 2019 以来アクティブ

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

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

3ヶ月 前 | ダウンロード 39 件 |

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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.

8ヶ月 前 | ダウンロード 28 件 |

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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.

8ヶ月 前 | ダウンロード 38 件 |

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

9ヶ月 前 | ダウンロード 12 件 |

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

9ヶ月 前 | ダウンロード 11 件 |

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

9ヶ月 前 | ダウンロード 11 件 |

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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ヶ月 前 | ダウンロード 22 件 |

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

9ヶ月 前 | ダウンロード 9 件 |

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

10ヶ月 前 | ダウンロード 7 件 |

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

10ヶ月 前 | ダウンロード 25 件 |

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

10ヶ月 前 | ダウンロード 19 件 |

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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.

10ヶ月 前 | ダウンロード 29 件 |

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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.

10ヶ月 前 | ダウンロード 98 件 |

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

10ヶ月 前 | ダウンロード 163 件 |

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

10ヶ月 前 | ダウンロード 9 件 |

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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...

10ヶ月 前 | ダウンロード 10 件 |

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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.

10ヶ月 前 | ダウンロード 6 件 |

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

10ヶ月 前 | ダウンロード 12 件 |

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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.

10ヶ月 前 | ダウンロード 31 件 |

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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...

10ヶ月 前 | ダウンロード 15 件 |

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

10ヶ月 前 | ダウンロード 30 件 |

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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.

10ヶ月 前 | ダウンロード 6 件 |

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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...

10ヶ月 前 | ダウンロード 133 件 |

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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...

10ヶ月 前 | ダウンロード 49 件 |

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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...

10ヶ月 前 | ダウンロード 53 件 |

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回答済み
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-...

約1年 前 | 0

回答済み
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...

約1年 前 | 1

回答済み
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_...

約1年 前 | 0

回答済み
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...

約1年 前 | 0

| 採用済み

回答済み
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...

約1年 前 | 0

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