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Jingwei Too


Last seen: Today

99 2019 이후 총 참여 횟수

Professional Interests: Feature Selection, Machine Learning, Bioengineering, and Signal Processing

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참여 게시물
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제출됨


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

8일 전 | 다운로드 수: 12 |

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제출됨


Simple Neural Networks with K-fold Cross-Validation Manner
This toolbox contains 6 type of neural networks (NN) using k-fold cross-validation, which are simple and easy to implement.

8일 전 | 다운로드 수: 43 |

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제출됨


Simple Machine Learning Algorithms for Classification
Simple and ease of implementation. The machine learning algorithms include KNN, SVM, LDA, NB, RF and DT.

8일 전 | 다운로드 수: 93 |

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제출됨


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

9일 전 | 다운로드 수: 12 |

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제출됨


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

10일 전 | 다운로드 수: 13 |

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제출됨


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

10일 전 | 다운로드 수: 21 |

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제출됨


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

10일 전 | 다운로드 수: 30 |

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제출됨


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.

10일 전 | 다운로드 수: 14 |

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제출됨


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...

10일 전 | 다운로드 수: 20 |

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제출됨


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

10일 전 | 다운로드 수: 46 |

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제출됨


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

10일 전 | 다운로드 수: 41 |

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제출됨


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

10일 전 | 다운로드 수: 10 |

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제출됨


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

12일 전 | 다운로드 수: 19 |

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제출됨


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

28일 전 | 다운로드 수: 19 |

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제출됨


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

28일 전 | 다운로드 수: 19 |

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제출됨


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

약 1달 전 | 다운로드 수: 11 |

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제출됨


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

3달 전 | 다운로드 수: 7 |

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제출됨


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

3달 전 | 다운로드 수: 12 |

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제출됨


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

3달 전 | 다운로드 수: 15 |

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제출됨


Ant Colony Optimization for Feature Selection
Application of ant colony optimization (ACO) for feature selection problems.

3달 전 | 다운로드 수: 18 |

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답변 있음
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-...

3달 전 | 0

답변 있음
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...

3달 전 | 1

답변 있음
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_...

3달 전 | 0

답변 있음
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...

3달 전 | 0

| 수락됨

답변 있음
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...

3달 전 | 0

답변 있음
Failed to Call Classification Learner's Testing Function
you may have a look on this toolbox https://www.mathworks.com/matlabcentral/fileexchange/71461-simple-machine-learning-algorithm...

3달 전 | 0

답변 있음
how to use ReliefF algorithm for feteare selection?
You may have a look on https://www.mathworks.com/matlabcentral/fileexchange/71611-simple-filter-feature-selection-algorithms?s_t...

3달 전 | 0

제출됨


Simple Filter Feature Selection Algorithms
Simple, fast and ease of implementation. The filter feature selection algorithms include Relief-F, PCC and F-score.

3달 전 | 다운로드 수: 31 |

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제출됨


Simple Deep Learning Algorithms with K-fold Cross-Validation
This toolbox offers convolution neural networks (CNN) using k-fold cross-validation, which are simple and easy to implement.

3달 전 | 다운로드 수: 23 |

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EMG Feature Extraction Toolbox
This toolbox offers 17 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC ...) for Electromyography (EMG) signals applicati...

3달 전 | 다운로드 수: 78 |

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