Jingwei Too
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Professional Interests: Feature Selection, Metaheuristics, Machine Learning, Data Mining, and Signal Processing
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Awarded to Jingwei Too on 01 Apr 2021
Have 3 submissions connected to GitHub
Awarded to Jingwei Too on 11 Dec 2020
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Awarded to Jingwei Too on 17 Aug 2020
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Awarded to Jingwei Too on 01 Aug 2020
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Awarded to Jingwei Too on 23 Jul 2020
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Awarded to Jingwei Too on 09 Oct 2019
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Awarded to Jingwei Too on 09 Oct 2019
Solve all the problems in Introduction to MATLAB problem group
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Awarded to Jingwei Too on 12 May 2019
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Awarded to Jingwei Too on 07 May 2019
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Awarded to Jingwei Too on 07 May 2019
Feeds
제출됨
Whale Optimization Algorithm for Feature Selection
Application of Whale Optimization Algorithm (WOA) in the feature selection tasks.
2년 초과 전 | 다운로드 수: 16 |
제출됨
Binary Grey Wolf Optimization for Feature Selection
Demonstration on how binary grey wolf optimization (BGWO) applied in the feature selection task.
대략 3년 전 | 다운로드 수: 14 |
제출됨
Wrapper Feature Selection Toolbox
This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc.
대략 3년 전 | 다운로드 수: 16 |
제출됨
Salp Swarm Algorithm for Feature Selection
Application of Salp Swarm Algorithm (SSA) in the feature selection tasks.
3년 초과 전 | 다운로드 수: 12 |
제출됨
Equilibrium Optimizer for Feature Selection
Application of Equilibrium Optimizer (EO) in the feature selection tasks.
3년 초과 전 | 다운로드 수: 3 |
제출됨
Binary Dragonfly Algorithm for Feature Selection
Application of Binary Dragonfly Algorithm (BDA) in the feature selection tasks.
3년 초과 전 | 다운로드 수: 4 |
제출됨
Ant Colony Optimization for Feature Selection
Implantation of ant colony optimization (ACO) without predetermined number of selected features in feature selection tasks.
3년 초과 전 | 다운로드 수: 5 |
제출됨
Sine Cosine Algorithm for Feature Selection
Application of Sine Cosine Algorithm (SCA) in the feature selection tasks.
3년 초과 전 | 다운로드 수: 3 |
제출됨
Henry Gas Solubility Optimization for Feature Selection
Application of Henry Gas Solubility Optimization (HGSO) in the feature selection tasks.
3년 초과 전 | 다운로드 수: 2 |
제출됨
Particle Swarm Optimization for Feature Selection
Application of Particle Swarm Optimization (PSO) in the feature selection tasks.
3년 초과 전 | 다운로드 수: 12 |
제출됨
Dimensionality Reduction Demonstration
Application of principal component analysis (PCA) for feature reduction.
3년 초과 전 | 다운로드 수: 5 |
제출됨
Filter Feature Selection Toolbox
Simple, fast and ease of implementation. The filter feature selection methods include Relief-F, PCC, TV, and NCA.
3년 초과 전 | 다운로드 수: 11 |
제출됨
Deep Learning Toolbox
This toolbox offers convolution neural networks (CNN) using k-fold cross-validation, which are simple and easy to implement.
3년 초과 전 | 다운로드 수: 10 |
제출됨
Neural Network Toolbox
This toolbox contains 6 types of neural networks, which is simple and easy to implement.
3년 초과 전 | 다운로드 수: 7 |
제출됨
Ant Colony System for Feature Selection
Application of ant colony system (ACS) for feature selection problems.
3년 초과 전 | 다운로드 수: 5 |
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...
3년 초과 전 | 다운로드 수: 4 |
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.
3년 초과 전 | 다운로드 수: 6 |
제출됨
Atom Search Optimization for Feature Selection
Application of Atom Search Optimization (ASO) in the feature selection tasks.
3년 초과 전 | 다운로드 수: 3 |
제출됨
Binary Particle Swarm Optimization for Feature Selection
Simple algorithm shows how binary particle swarm optimization (BPSO) used in feature selection problem.
3년 초과 전 | 다운로드 수: 6 |
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...
3년 초과 전 | 다운로드 수: 7 |
제출됨
Genetic Algorithm for Feature Selection
Simple algorithm shows how the genetic algorithm (GA) used in the feature selection problem.
3년 초과 전 | 다운로드 수: 20 |
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.
3년 초과 전 | 다운로드 수: 3 |
제출됨
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...
3년 초과 전 | 다운로드 수: 67 |
제출됨
EMG Feature Extraction Toolbox
This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals app...
3년 초과 전 | 다운로드 수: 71 |
제출됨
EEG Feature Extraction Toolbox
This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) application...
3년 초과 전 | 다운로드 수: 58 |
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