Automatic design of machine learning via evolutionary computation: A survey

N Li, L Ma, T Xing, G Yu, C Wang, Y Wen, S Cheng… - Applied Soft …, 2023 - Elsevier
Abstract Machine learning (ML), as the most promising paradigm to discover deep
knowledge from data, has been widely applied to practical applications, such as …

Feature selection techniques in the context of big data: taxonomy and analysis

HM Abdulwahab, S Ajitha, MAN Saif - Applied Intelligence, 2022 - Springer
Abstract Recent advancements in Information Technology (IT) have engendered the rapid
production of big data, as enormous volumes of data with high dimensional features grow …

CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection

MF Aslan, MF Unlersen, K Sabanci, A Durdu - Applied Soft Computing, 2021 - Elsevier
Abstract Coronavirus disease 2019 (COVID-2019), which emerged in Wuhan, China in 2019
and has spread rapidly all over the world since the beginning of 2020, has infected millions …

An effective genetic algorithm-based feature selection method for intrusion detection systems

Z Halim, MN Yousaf, M Waqas, M Sulaiman… - Computers & …, 2021 - Elsevier
Availability of suitable and validated data is a key issue in multiple domains for
implementing machine learning methods. Higher data dimensionality has adverse effects on …

[HTML][HTML] Graph-based relevancy-redundancy gene selection method for cancer diagnosis

S Azadifar, M Rostami, K Berahmand, P Moradi… - Computers in Biology …, 2022 - Elsevier
Nowadays, microarray data processing is one of the most important applications in
molecular biology for cancer diagnosis. A major task in microarray data processing is gene …

[HTML][HTML] Gene selection for microarray data classification via multi-objective graph theoretic-based method

M Rostami, S Forouzandeh, K Berahmand… - Artificial Intelligence in …, 2022 - Elsevier
In recent decades, the improvement of computer technology has increased the growth of
high-dimensional microarray data. Thus, data mining methods for DNA microarray data …

An efficient binary chimp optimization algorithm for feature selection in biomedical data classification

E Pashaei, E Pashaei - Neural Computing and Applications, 2022 - Springer
Accurate classification of high-dimensional biomedical data highly depends on the efficient
recognition of the data's main features which can be used to assist diagnose related …

A novel community detection based genetic algorithm for feature selection

M Rostami, K Berahmand, S Forouzandeh - Journal of Big Data, 2021 - Springer
The feature selection is an essential data preprocessing stage in data mining. The core
principle of feature selection seems to be to pick a subset of possible features by excluding …

BMPA-TVSinV: A Binary Marine Predators Algorithm using time-varying sine and V-shaped transfer functions for wrapper-based feature selection

Z Beheshti - Knowledge-Based Systems, 2022 - Elsevier
The feature selection problem is one of the pre-processing mechanisms to find the optimal
subset of features from a dataset. The search space of the problem will exponentially grow …

Accurate detection of COVID-19 patients based on distance biased Naïve Bayes (DBNB) classification strategy

WM Shaban, AH Rabie, AI Saleh, MA Abo-Elsoud - Pattern Recognition, 2021 - Elsevier
COVID-19, as an infectious disease, has shocked the world and still threatens the lives of
billions of people. Early detection of COVID-19 patients is an important issue for treating and …