Jingwei Too
Last seen: Today
99 total contributions since 2019Professional Interests: Feature Selection, Machine Learning, Bioengineering, and Signal Processing
Jingwei Too's Badges
Your submissions received 25 five star ratings
Awarded to Jingwei Too on 17 Aug 2020
Download any 10 unique submissions
Awarded to Jingwei Too on 01 Aug 2020
Answer 1 question that was unanswered for more than 30 days
Awarded to Jingwei Too on 23 Jul 2020
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Awarded to Jingwei Too on 22 Jul 2020
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Awarded to Jingwei Too on 01 Nov 2019
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Awarded to Jingwei Too on 09 Oct 2019
Publish your first submission
Awarded to Jingwei Too on 09 Oct 2019
Solve all the problems in Introduction to MATLAB problem group
Awarded to Jingwei Too on 12 May 2019
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Awarded to Jingwei Too on 12 May 2019
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Awarded to Jingwei Too on 07 May 2019
Submitted
Whale Optimization Algorithm for Feature Selection
Application of Whale Optimization Algorithm (WOA) in the feature selection tasks.
1 día ago | 7 downloads |
Submitted
Henry Gas Solubility Optimization for Feature Selection
Application of Henry Gas Solubility Optimization (HGSO) in the feature selection tasks.
17 días ago | 20 downloads |
Submitted
Sine Cosine Algorithm for Feature Selection
Application of Sine Cosine Algorithm (SCA) in the feature selection tasks.
17 días ago | 14 downloads |
Submitted
Simple Ant Colony Optimization for Feature Selection
Implantation of ant colony optimization (ACO) without predetermined number of selected features in feature selection tasks.
alrededor de 1 mes ago | 15 downloads |
Submitted
Simple Dimensionality Reduction Demonstration
Application of principal component analysis (PCA) for feature reduction.
alrededor de 1 mes ago | 8 downloads |
Submitted
Binary Dragonfly Algorithm for Feature Selection
Application of Binary Dragonfly Algorithm (BDA) in the feature selection tasks.
alrededor de 1 mes ago | 10 downloads |
Submitted
Equilibrium Optimizer for Feature Selection
Application of Equilibrium Optimizer (EO) in the feature selection tasks.
2 meses ago | 9 downloads |
Submitted
Salp Swarm Algorithm for Feature Selection
Application of Salp Swarm Algorithm (SSA) in the feature selection tasks.
3 meses ago | 11 downloads |
Submitted
Particle Swarm Optimization for Feature Selection
Application of Particle Swarm Optimization (PSO) in the feature selection tasks.
3 meses ago | 16 downloads |
Submitted
Ant Colony Optimization for Feature Selection
Application of ant colony optimization (ACO) for feature selection problems.
3 meses ago | 12 downloads |
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-...
3 meses ago | 0
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...
3 meses ago | 1
Submitted
Atom Search Optimization for Feature Selection
Application of Atom Search Optimization (ASO) in the feature selection tasks.
3 meses ago | 7 downloads |
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_...
3 meses ago | 0
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...
3 meses ago | 0
| accepted
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...
3 meses ago | 0
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...
3 meses ago | 0
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...
3 meses ago | 0
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...
3 meses ago | 7 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.
3 meses ago | 8 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.
3 meses ago | 4 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...
3 meses ago | 14 downloads |
Submitted
Binary Particle Swarm Optimization for Feature Selection
Simple algorithm shows how binary particle swarm optimization (BPSO) used in feature selection problem.
3 meses ago | 40 downloads |
Submitted
Genetic Algorithm for Feature Selection
Simple algorithm shows how the genetic algorithm (GA) used in the feature selection problem.
3 meses ago | 20 downloads |
Submitted
Binary Grey Wolf Optimization for Feature Selection
Demonstration on how binary grey wolf optimization (BGWO) applied in the feature selection task.
3 meses ago | 38 downloads |
Submitted
Simple Filter Feature Selection Algorithms
Simple, fast and ease of implementation. The filter feature selection algorithms include Relief-F, PCC and F-score.
3 meses ago | 26 downloads |
Submitted
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.
3 meses ago | 21 downloads |
Submitted
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.
3 meses ago | 33 downloads |
Submitted
Simple Machine Learning Algorithms for Classification
Simple and ease of implementation. The machine learning algorithms include KNN, SVM, LDA, NB, RF and DT.
3 meses ago | 94 downloads |
Submitted
EMG Feature Extraction Toolbox
This toolbox offers 17 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC ...) for Electromyography (EMG) signals applicati...
3 meses ago | 79 downloads |
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