Jingwei Too
Followers: 7 Following: 0
Professional Interests: Feature Selection, Metaheuristics, Machine Learning, Data Mining, and Signal Processing
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Feeds
Gesendet
Whale Optimization Algorithm for Feature Selection
Application of Whale Optimization Algorithm (WOA) in the feature selection tasks.
mehr als 3 Jahre vor | 12 Downloads |
Gesendet
Binary Grey Wolf Optimization for Feature Selection
Demonstration on how binary grey wolf optimization (BGWO) applied in the feature selection task.
fast 4 Jahre vor | 12 Downloads |
Gesendet
Wrapper Feature Selection Toolbox
This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc.
fast 4 Jahre vor | 8 Downloads |
Gesendet
Salp Swarm Algorithm for Feature Selection
Application of Salp Swarm Algorithm (SSA) in the feature selection tasks.
fast 4 Jahre vor | 7 Downloads |
Gesendet
Equilibrium Optimizer for Feature Selection
Application of Equilibrium Optimizer (EO) in the feature selection tasks.
fast 4 Jahre vor | 5 Downloads |
Gesendet
Binary Dragonfly Algorithm for Feature Selection
Application of Binary Dragonfly Algorithm (BDA) in the feature selection tasks.
fast 4 Jahre vor | 4 Downloads |
Gesendet
Ant Colony Optimization for Feature Selection
Implantation of ant colony optimization (ACO) without predetermined number of selected features in feature selection tasks.
fast 4 Jahre vor | 4 Downloads |
Gesendet
Sine Cosine Algorithm for Feature Selection
Application of Sine Cosine Algorithm (SCA) in the feature selection tasks.
fast 4 Jahre vor | 6 Downloads |
Gesendet
Henry Gas Solubility Optimization for Feature Selection
Application of Henry Gas Solubility Optimization (HGSO) in the feature selection tasks.
fast 4 Jahre vor | 3 Downloads |
Gesendet
Particle Swarm Optimization for Feature Selection
Application of Particle Swarm Optimization (PSO) in the feature selection tasks.
fast 4 Jahre vor | 4 Downloads |
Gesendet
Dimensionality Reduction Demonstration
Application of principal component analysis (PCA) for feature reduction.
fast 4 Jahre vor | 4 Downloads |
Gesendet
Filter Feature Selection Toolbox
Simple, fast and ease of implementation. The filter feature selection methods include Relief-F, PCC, TV, and NCA.
fast 4 Jahre vor | 9 Downloads |
Gesendet
Deep Learning Toolbox
This toolbox offers convolution neural networks (CNN) using k-fold cross-validation, which are simple and easy to implement.
fast 4 Jahre vor | 11 Downloads |
Gesendet
Neural Network Toolbox
This toolbox contains 6 types of neural networks, which is simple and easy to implement.
fast 4 Jahre vor | 5 Downloads |
Gesendet
Ant Colony System for Feature Selection
Application of ant colony system (ACS) for feature selection problems.
fast 4 Jahre vor | 5 Downloads |
Gesendet
Binary Differential Evolution for Feature Selection
The binary version of Differential Evolution (DE), named as Binary Differential Evolution (BDE) is applied for feature selection...
fast 4 Jahre vor | 10 Downloads |
Gesendet
Binary Tree Growth Algorithm for Feature Selection
A feature selection algorithm, named as Binary Tree Growth Algorithm (BTGA) is applied for feature selection tasks.
fast 4 Jahre vor | 1 Download |
Gesendet
Atom Search Optimization for Feature Selection
Application of Atom Search Optimization (ASO) in the feature selection tasks.
fast 4 Jahre vor | 1 Download |
Gesendet
Binary Particle Swarm Optimization for Feature Selection
Simple algorithm shows how binary particle swarm optimization (BPSO) used in feature selection problem.
fast 4 Jahre vor | 10 Downloads |
Gesendet
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...
fast 4 Jahre vor | 5 Downloads |
Gesendet
Genetic Algorithm for Feature Selection
Simple algorithm shows how the genetic algorithm (GA) used in the feature selection problem.
fast 4 Jahre vor | 8 Downloads |
Gesendet
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.
fast 4 Jahre vor | 4 Downloads |
Gesendet
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...
etwa 4 Jahre vor | 32 Downloads |
Gesendet
EMG Feature Extraction Toolbox
This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals app...
etwa 4 Jahre vor | 33 Downloads |
Gesendet
EEG Feature Extraction Toolbox
This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) application...
etwa 4 Jahre vor | 50 Downloads |