A novel multi-objective medical feature selection compass method for binary classification

R-HEFS: Rough set based Heterogeneous Ensemble Feature Selection Method for Medical data Classification

(2021) Rubul Kumar Bania et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation

(2021) Davide Chicco et al.   BioData Mining

A Multi-Objective Multi-Label Feature Selection Algorithm Based on Shapley Value

(2021) Hongbin Dong et al.   Entropy

Feature Selection based Multivariate Time Series Forecasting: An Application to Antibiotic Resistance Outbreaks Prediction

(2020) Fernando Jiménez et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Multi-objective optimization of feature selection using hybrid cat swarm optimization

(2020) Xiao-Zhi Gao et al.   Science China-Technological Sciences

Gorthaur-EXP3: Bandit-based selection from a portfolio of recommendation algorithms balancing the accuracy-diversity dilemma

(2020) Nicolas Gutowski et al.   INFORMATION SCIENCES

A multi-objective approach for profit-driven feature selection in credit scoring

(2019) Nikita Kozodoi et al.   DECISION SUPPORT SYSTEMS

A Novel Bat Algorithm based on Cross Boundary Learning and Uniform Explosion Strategy

(2019) Jia-shi Yong et al.   Applied Mathematics-A Journal of Chinese Universities Series B

Hybrid clustering analysis using improved krill herd algorithm

(2018) Laith Mohammad Abualigah et al.   APPLIED INTELLIGENCE

An Efficient Particle Swarm Optimization for Large-Scale Hardware/Software Co-Design System

(2018) Xiaohu Yan et al.   INTERNATIONAL JOURNAL OF COOPERATIVE INFORMATION SYSTEMS

Identification of new factors associated to walking impairment in patients with vascular-type claudication

(2018) Tinhinan Mezdad et al.   Vascular

An improved NSGA-III algorithm for feature selection used in intrusion detection

(2017) Yingying Zhu et al.   KNOWLEDGE-BASED SYSTEMS

Robust multiobjective evolutionary feature subset selection algorithm for binary classification using machine learning techniques

(2017) Ayça Deniz et al.   NEUROCOMPUTING

Identifying (Quasi) Equally Informative Subsets in Feature Selection Problems for Classification: A Max-Relevance Min-Redundancy Approach

(2016) Gulsah Karakaya et al.   IEEE Transactions on Cybernetics

A binary ABC algorithm based on advanced similarity scheme for feature selection

(2015) Emrah Hancer et al.   APPLIED SOFT COMPUTING

An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition

(2015) Ke Li et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Derivation and Validation of a Clinical Diagnostic Tool for the Identification of Older Community-Dwellers With Hypovitaminosis D

(2015) Cedric Annweiler et al.   Journal of the American Medical Directors Association

An advanced ACO algorithm for feature subset selection

(2015) Shima Kashef et al.   NEUROCOMPUTING

LG-Trader: Stock trading decision support based on feature selection by weighted localized generalization error model

(2014) Wing W.Y. Ng et al.   NEUROCOMPUTING

The AUK: A simple alternative to the AUC

(2012) Uzay Kaymak et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Borg: An Auto-Adaptive Many-Objective Evolutionary Computing Framework

(2012) David Hadka et al.   EVOLUTIONARY COMPUTATION

Selection of effective features for ECG beat recognition based on nonlinear correlations

(2011) Ying-Hsiang Chen et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Multi-objective feature selection by using NSGA-II for customer churn prediction in telecommunications

(2009) Bingquan Huang et al.   EXPERT SYSTEMS WITH APPLICATIONS

The weighted sum method for multi-objective optimization: new insights

(2009) R. Timothy Marler et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Improved binary PSO for feature selection using gene expression data

(2007) Li-Yeh Chuang et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY