A comprehensive survey on ECG signals as new biometric modality for human authentication: Recent advances and future challenges
AN Uwaechia, DA Ramli - IEEE Access, 2021 - ieeexplore.ieee.org
Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …
and has recently received significant interest as a promising biometric trait. However, ECG …
A survey on evolutionary computation approaches to feature selection
Feature selection is an important task in data mining and machine learning to reduce the
dimensionality of the data and increase the performance of an algorithm, such as a …
dimensionality of the data and increase the performance of an algorithm, such as a …
Nature inspired feature selection meta-heuristics
Many strategies have been exploited for the task of feature selection, in an effort to identify
more compact and better quality feature subsets. A number of evaluation metrics have been …
more compact and better quality feature subsets. A number of evaluation metrics have been …
[图书][B] Evolutionary algorithms for solving multi-objective problems
CAC Coello - 2007 - Springer
Problems with multiple objectives arise in a natural fashion in most disciplines and their
solution has been a challenge to researchers for a long time. Despite the considerable …
solution has been a challenge to researchers for a long time. Despite the considerable …
A machine learning approach combining expert knowledge with genetic algorithms in feature selection for credit risk assessment
PZ Lappas, AN Yannacopoulos - Applied Soft Computing, 2021 - Elsevier
Most credit scoring algorithms are designed with the assumption to be executed in an
environment characterized by an automatic processing of credit applications, without …
environment characterized by an automatic processing of credit applications, without …
A survey of multiobjective evolutionary algorithms for data mining: Part I
A Mukhopadhyay, U Maulik… - IEEE Transactions …, 2013 - ieeexplore.ieee.org
The aim of any data mining technique is to build an efficient predictive or descriptive model
of a large amount of data. Applications of evolutionary algorithms have been found to be …
of a large amount of data. Applications of evolutionary algorithms have been found to be …
A dynamic locality multi-objective salp swarm algorithm for feature selection
Developing intelligent analytical tools requires pre-processing data and finding relevant
features that best reinforce the performance of the predictive algorithms. Feature selection …
features that best reinforce the performance of the predictive algorithms. Feature selection …
[图书][B] Data mining and knowledge discovery with evolutionary algorithms
AA Freitas - 2002 - books.google.com
This book addresses the integration of two areas of computer science, namely data mining
and evolutionary algorithms. Both these areas have become increas ingly popular in the last …
and evolutionary algorithms. Both these areas have become increas ingly popular in the last …
An improved NSGA-III algorithm for feature selection used in intrusion detection
Feature selection can improve classification accuracy and decrease the computational
complexity of classification. Data features in intrusion detection systems (IDS) always …
complexity of classification. Data features in intrusion detection systems (IDS) always …
Feature selection by multi-objective optimisation: Application to network anomaly detection by hierarchical self-organising maps
Feature selection is an important and active issue in clustering and classification problems.
By choosing an adequate feature subset, a dataset dimensionality reduction is allowed, thus …
By choosing an adequate feature subset, a dataset dimensionality reduction is allowed, thus …