Systematic review of an automated multiclass detection and classification system for acute Leukaemia in terms of evaluation and benchmarking, open challenges …
This study aims to systematically review prior research on the evaluation and benchmarking
of automated acute leukaemia classification tasks. The review depends on three reliable …
of automated acute leukaemia classification tasks. The review depends on three reliable …
A review of the automated detection and classification of acute leukaemia: Coherent taxonomy, datasets, validation and performance measurements, motivation, open …
Context Acute leukaemia diagnosis is a field requiring automated solutions, tools and
methods and the ability to facilitate early detection and even prediction. Many studies have …
methods and the ability to facilitate early detection and even prediction. Many studies have …
Multiclass benchmarking framework for automated acute Leukaemia detection and classification based on BWM and group-VIKOR
This paper aims to assist the administration departments of medical organisations in making
the right decision on selecting a suitable multiclass classification model for acute leukaemia …
the right decision on selecting a suitable multiclass classification model for acute leukaemia …
MF-GARF: Hybridizing multiple filters and GA wrapper for feature selection of microarray cancer datasets
P Saqib, U Qamar, RA Khan… - 2020 22nd International …, 2020 - ieeexplore.ieee.org
DNA Microarray technology is a valuable advancement in medical field but it gives birth to
many challenges like curse of dimensionality, storage and computational requirements. In …
many challenges like curse of dimensionality, storage and computational requirements. In …
A study on the most common algorithms implemented for cancer gene search and classifications
MM Al-Rajab, J Lu - International Journal of Data Mining …, 2016 - inderscienceonline.com
Understanding gene expression is an important factor for cancer diagnosis. One target of
this understanding is implementing cancer gene search and classification methods …
this understanding is implementing cancer gene search and classification methods …
A hybrid data mining model in analyzing corporate social responsibility
Over the past two decades, corporate social responsibility (CSR) has received worldwide
attention. Publication of CSR reports has become the trend for domestic and foreign …
attention. Publication of CSR reports has become the trend for domestic and foreign …
Multiplicative distance: a method to alleviate distance instability for high-dimensional data
J Mansouri, M Khademi - Knowledge and Information Systems, 2015 - Springer
Recently, it has been shown that under a broad set of conditions, the commonly used
distance functions will become unstable in high-dimensional data space; ie, the distance to …
distance functions will become unstable in high-dimensional data space; ie, the distance to …
Hybrid Dimensionality Reduction Model for Classification of Ribonucleic Acid Sequencing Malaria Vector Dataset
MO Arowolo - 2021 - search.proquest.com
Malaria is a life-threatening disease caused by the plasmodium falciparum parasite and
spread to people from infected mosquitoes. Gene expression data analysis is an essential …
spread to people from infected mosquitoes. Gene expression data analysis is an essential …