KNN normalized optimization and platform tuning based on hadoop

C Ma, Y Chi - IEEE Access, 2022 - ieeexplore.ieee.org
Big data has become part of the life for many people. The data about people's life are being
continously collected, analysized and applied as our society progresses into the big data …

Information-theoretic ensemble feature selection with multi-stage aggregation for sensor array optimization

DR Wijaya, F Afianti - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
In an electronic nose (e-nose) system, the gas sensor array is the key component for
detecting the volatile profile of a sample. An inappropriate sensor combination can lead to …

Applications and sensory utilizations of magnetic levitation in 3D cell culture for tissue Engineering

U Tepe, B Aslanbay Guler, E Imamoglu - Molecular Biology Reports, 2023 - Springer
Abstract 3D cell culture approaches are cell culture methods that provide good visualization
of interactions between cells while preserving the natural growth pattern. In recent years …

A hybrid ensemble feature selection design for candidate biomarkers discovery from transcriptome profiles

F Colombelli, TW Kowalski… - Knowledge-Based …, 2022 - Elsevier
Discovering disease biomarkers from gene expression data has been greatly advanced by
feature selection (FS) methods, especially using ensemble FS (EFS) strategies with …

Ensemble feature ranking for cost-based non-overlapping groups: A case study of chronic kidney disease diagnosis in developing countries

SI Ali, HSM Bilal, M Hussain, J Hussain, FA Satti… - IEEE …, 2020 - ieeexplore.ieee.org
Chronic kidney disease (CKD) is one of the leading medical ailments in developing
countries. Due to the limited healthcare infrastructure and the lack of trained human …

A novel configuration tuning method based on feature selection for Hadoop MapReduce

J Liu, S Tang, G Xu, C Ma, M Lin - IEEE Access, 2020 - ieeexplore.ieee.org
Configuration parameter optimization is an important means of improving the performance of
the MapReduce model. The existing parameter tuning methods usually optimize all …

Evrişimsel sinir ağı modellerinde özellik seçim yöntemlerini kullanarak çiçek görüntülerinin sınıflandırılması

M Toğaçar, B Ergen, F Özyurt - Fırat Üniversitesi Mühendislik …, 2020 - dergipark.org.tr
Görüntü işleme yöntem ve tekniklerinin gün geçtikçe daha iyi sonuç vermesi, ekolojik
dengenin duyarlılığı açısından önem arz etmektedir. Bu makale ekolojik dengenin temel …

Weighted Rank Difference Ensemble: A New Form of Ensemble Feature Selection Method for Medical Datasets

AM Begum, MRH Mondal, P Podder… - BioMedInformatics, 2024 - mdpi.com
Background: Feature selection (FS), a crucial preprocessing step in machine learning,
greatly reduces the dimension of data and improves model performance. This paper focuses …

Cost-sensitive ensemble feature ranking and automatic threshold selection for chronic kidney disease diagnosis

S Imran Ali, B Ali, J Hussain, M Hussain, FA Satti… - Applied sciences, 2020 - mdpi.com
Automated medical diagnosis is one of the important machine learning applications in the
domain of healthcare. In this regard, most of the approaches primarily focus on optimizing …

HMDE‐FS: A homogeneous distributed ensemble feature selection framework based on resampling with/without replacement

V Nosrati, M Rahmani - Concurrency and Computation …, 2023 - Wiley Online Library
Applying ensemble feature selection (EFS) models in various problems has not been
actively discussed, and there has been a lack of effort to make it applicable in the situations …