dengxiongshi

2-D-Particle-Swarm-based-feature-selection

Code of article 'A two-dimensional (2-D) learning framework for Particle Swarm based feature selection'

AAAI-2019-AFS

The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".

Algorithm-Selection-for-Classification-Problems-via-Cluster-based-Meta-features

Algorithm Selection for Classification Problems via Cluster-based Meta-features (E-STaR 2017 and Continued Work)

autoencoder

个人练习，自编码器及其变形（理论+实践）

Binary-Hybrid-algorithm-of-particle-swarm-optimization-and-Grey-Wolf-optimizer

Al-Tashi, Q., Abdulkadir, S. J., Rais, H. M., Mirjalili, S., & Alhussian, H. (2019). Binary Optimization Using Hybrid Grey Wolf Optimization for Feature Selection. IEEE Access, 1–1. doi:10.1109/access.2019.2906757

boruta_py

Python implementations of the Boruta all-relevant feature selection method.

CBFS

The source code of my paper _A Hierarchical Feature Selection and Ranking Method in Network Intrusion Detection_.

cost_based_selection

Implementations of cost-based feature selection methods in Python

Cross-Domain-Sentiment-Analysis

Cross-Domain Sentiment Analysis Employing Different Feature Selection and Classification Techniques

CVFS_code

CVFS is a python program that employs a Cross-Validated Feature Selection (CVFS) algorithm for extracting the most related features for classification problems.

dengxiongshi/Binary-Hybrid-algorithm-of-particle-swarm-optimization-and-Grey-Wolf-optimizer

Al-Tashi, Q., Abdulkadir, S. J., Rais, H. M., Mirjalili, S., & Alhussian, H. (2019). Binary Optimization Using Hybrid Grey Wolf Optimization for Feature Selection. IEEE Access, 1–1. doi:10.1109/access.2019.2906757

dengxiongshi/boruta_py

Python implementations of the Boruta all-relevant feature selection method.

dengxiongshi/CBFS

The source code of my paper _A Hierarchical Feature Selection and Ranking Method in Network Intrusion Detection_.

dengxiongshi/cost_based_selection

Implementations of cost-based feature selection methods in Python

dengxiongshi/CVFS_code

CVFS is a python program that employs a Cross-Validated Feature Selection (CVFS) algorithm for extracting the most related features for classification problems.

dengxiongshi/CWJR_FScode

the code of feature selection method CWJR_FS

dengxiongshi/ECFS

A Python implementation of the Ranking to Learn: Feature Ranking and Selection via Eigenvector Centrality paper.

dengxiongshi/ensembled-mRMR-feature-selection

RobustmRMR: a ensemble framework based on mRMR for feature selection. RedundancyThresholdSurv: group features and select one feature with the best performance from each group

dengxiongshi/evofs

Multi-objective evolutionary algorithms for feature selection

dengxiongshi/FeatureSelection

基于小样本数据挖掘的特征筛选库

dengxiongshi/FeatureSelectionGP

Gaussian process regression with feature selection

dengxiongshi/Fisher-Markov-feature-selector

Fisher-Markov feature selection

dengxiongshi/icet-master

dengxiongshi/LeetCode

LeetCode刷题集合

dengxiongshi/mifs

Parallelized Mutual Information based Feature Selection module.

dengxiongshi/myyolov5

dengxiongshi/NaiveFeatureSelection

Code for NaiveFeatureSelection, i.e. feature selection in Naive Bayes, see https://arxiv.org/abs/1905.09884

dengxiongshi/netmt

S/C维护工具

dengxiongshi/pollution-select-feature-selection

conceptualizing method for feature selection

dengxiongshi/Py_FS

A Python Package for Feature Selection

dengxiongshi/pycit

(Conditional) Independence testing & Markov blanket feature selection using k-NN mutual information and conditional mutual information estimators. Supports continuous, discrete, and mixed data, as well as multiprocessing.

dengxiongshi/pyHSICLasso

Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data

dengxiongshi/robust_weighted_classification

Code for "Class-Weighted Classification: Trade-offs and Robust Approaches"

dengxiongshi/scikit-rebate

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

dengxiongshi/sklearn-genetic

Genetic feature selection module for scikit-learn

dengxiongshi/smote_variants

A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

dengxiongshi/socker

test repository for item

dengxiongshi/StackPPI

Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier

dengxiongshi/yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

dengxiongshi/z-quantum-feature-selection