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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.

cwjr_fscode

the code of feature selection method CWJR_FS

dataset-class-weight-calculate

dpm4.01_windows

This is a DPM (deformable parts model) implementation by it's author, version4.01. I made some modified so that this can be run under Windows. Also I modified it so that it can train my own model on my own imagedataset.

ecfs

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

ensemble-feature-selection

Code and datasets for the (Lopez et. al, 2018) paper, currently under review.

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

evofs

Multi-objective evolutionary algorithms for feature selection

fcbf

Houses implementation of the Fast Correlation-Based Filter (FCBF) feature selection method.

fcbf_module

Fast Correlation-Based Feature Selection

feature-selection

Features selector based on the self selected-algorithm, loss function and validation method

feature-selection-study

Code for the study "Feature selection for the classification of fall-risk in older subjects: a combinational approach using static force-plate measurements"

featureselection

基于小样本数据挖掘的特征筛选库

featureselectiongp

Gaussian process regression with feature selection

fisher-markov-feature-selector

Fisher-Markov feature selection

flappybird

making flappy bird game with go and Korok

fuzzy-fs

A novel feature selection technique for text data based on clusters generated by the Fuzzy C-Means (FCM) algorithm

greedyfeatureselection

greedy feature selection based on ROC AUC

icet-master

imbalancedmulticlass

infinifeatureselection

Feature selector inspired by "Generalized Distributed Monte Carlo Feature Selection for high dimensional problems." by Łukasz Król