Ensemble learning-based filter-centric hybrid feature selection framework for high-dimensional imbalanced data

Feature selection for imbalanced data based on neighborhood rough sets

(2019) Hongmei Chen et al.   INFORMATION SCIENCES

A new hybrid ensemble feature selection framework for machine learning-based phishing detection system

(2019) Kang Leng Chiew et al.   INFORMATION SCIENCES

A hybrid-multi filter-wrapper framework to identify run-time behaviour for fast malware detection

(2018) Shamsul Huda et al.   Future Generation Computer Systems-The International Journal of eScience

High-dimensional hybrid feature selection using interaction information-guided search

(2018) Songyot Nakariyakul   KNOWLEDGE-BASED SYSTEMS

Class imbalance learning using UnderBagging based kernelized extreme learning machine

(2018) Bhagat Singh Raghuwanshi et al.   NEUROCOMPUTING

Feature selection for high dimensional imbalanced class data using harmony search

(2017) Alireza Moayedikia et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Learning from class-imbalanced data: Review of methods and applications

(2017) Guo Haixiang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Exploiting the ensemble paradigm for stable feature selection: A case study on high-dimensional genomic data

(2017) Barbara Pes et al.   Information Fusion

Ensemble feature selection: Homogeneous and heterogeneous approaches

(2017) B. Seijo-Pardo et al.   KNOWLEDGE-BASED SYSTEMS

Combining diversity measures for ensemble pruning

(2016) George D.C. Cavalcanti et al.   PATTERN RECOGNITION LETTERS

A Hybrid Feature Selection With Ensemble Classification for Imbalanced Healthcare Data: A Case Study for Brain Tumor Diagnosis

(2016) Shamsul Huda et al.   IEEE Access

An evaluation of classifier-specific filter measure performance for feature selection

(2015) Cecille Freeman et al.   PATTERN RECOGNITION

Feature selection for high-dimensional class-imbalanced data sets using Support Vector Machines

(2014) Sebastián Maldonado et al.   INFORMATION SCIENCES

A survey on feature selection methods

(2013) Girish Chandrashekar et al.   COMPUTERS & ELECTRICAL ENGINEERING

Diversity measures for one-class classifier ensembles

(2013) Bartosz Krawczyk et al.   NEUROCOMPUTING

EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling

(2013) Mikel Galar et al.   PATTERN RECOGNITION

The impact of diversity on the accuracy of evidential classifier ensembles

(2012) Yaxin Bi   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

Feature selection for high-dimensional imbalanced data

(2012) Liuzhi Yin et al.   NEUROCOMPUTING

Hellinger distance decision trees are robust and skew-insensitive

(2011) David A. Cieslak et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Fast wrapper feature subset selection in high-dimensional datasets by means of filter re-ranking

(2011) Pablo Bermejo et al.   KNOWLEDGE-BASED SYSTEMS

A GRASP algorithm for fast hybrid (filter-wrapper) feature subset selection in high-dimensional datasets

(2011) Pablo Bermejo et al.   PATTERN RECOGNITION LETTERS

Combating the Small Sample Class Imbalance Problem Using Feature Selection

(2009) Mike Wasikowski et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING