Results 31 to 40 of about 1,151,147 (311)

A Novel Knowledge Distillation-Based Feature Selection for the Classification of ADHD

Biomolecules, 2021
Attention Deficit Hyperactivity Disorder (ADHD) is a brain disorder with characteristics such as lack of concentration, excessive fidgeting, outbursts of emotions, lack of patience, difficulty in organizing tasks, increased forgetfulness, and ...
Naseer Ahmed Khan, Samer Abdulateef Waheeb, Atif Riaz, Xuequn Shang   +3 more
doaj   +1 more source

Best features selection by CfsSubsetEvaluation via BestFirst method.

, 2020
Best features selection by CfsSubsetEvaluation via BestFirst method.
Baixi Xing (8338932), Lekai Zhang (8338935), Kejun Zhang (1960978), Shouqian Sun (8338947), Kaili Zhu (8338944), Xinda Wu (8338938), Huahao Si (8338941), Hui Zhang (7197)   +7 more
core   +1 more source

Absolute Redundancy Analysis Based on Features Selection

, 2021
International audienceThe goal of feature selection (FS) in machine learning is to find the best subset of features to create efficient models for a learning task. Different FS methods are then used to assess features relevancy.
Ginel Dorleon, Imen Megdiche, Nathalie Bricon-Souf, Bricon-Souf, Nathalie, Megdiche, Imen, Teste, Olivier, Dorleon, Ginel, Olivier Teste   +7 more
core   +1 more source

An implementation of normal distribution based segmentation and entropy controlled features selection for skin lesion detection and classification. [PDF]

BMC Cancer, 2018
Background Melanoma is the deadliest type of skin cancer with highest mortality rate. However, the annihilation in its early stage implies a high survival rate therefore, it demands early diagnosis.
Khan MA, Akram T, Sharif M, Shahzad A, Aurangzeb K, Alhussein M, Haider SI, Altamrah A.   +7 more
europepmc   +2 more sources

Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare

IEEE Access, 2020
Heart disease is one of the complex diseases and globally many people suffered from this disease. On time and efficient identification of heart disease plays a key role in healthcare, particularly in the field of cardiology.
Jian Ping Li, Amin Ul Haq, Salah Ud Din, Jalaluddin Khan, Asif Khan, Abdus Saboor   +5 more
doaj   +1 more source

Rapid classification of micro-particles using multi-angle dynamic light scatting and machine learning approach

Frontiers in Bioengineering and Biotechnology, 2022
The rapid classification of micro-particles has a vast range of applications in biomedical sciences and technology. In the given study, a prototype has been developed for the rapid detection of particle size using multi-angle dynamic light scattering and
Xu He, Chao Wang, Yichuan Wang, Junxiao Yu, Yanfeng Zhao, Jianqing Li, Jianqing Li, Mubashir Hussain, Mubashir Hussain, Bin Liu   +9 more
doaj   +1 more source

Metalearning for Feature Selection

CoRR, 2017
A general formulation of optimization problems in which various candidate solutions may use different feature-sets is presented, encompassing supervised classification, automated program learning and other cases. A novel characterization of the concept of a "good quality feature" for such an optimization problem is provided; and a proposal regarding ...
Ben Goertzel, Nil Geisweiller, Chris Poulin   +2 more
openaire   +2 more sources

Comparison of the performance of the algorithms on the initial dataset and the one with features selection (no. class = 2).

, 2023
Comparison of the performance of the algorithms on the initial dataset and the one with features selection (no. class = 2).
Nacer Farajzadeh (15338964), Nima Sadeghzadeh (15338967)   +1 more
core   +1 more source

Optimizing Fall Risk Diagnosis in Older Adults Using a Bayesian Classifier and Simulated Annealing

Bioengineering
The aim of this study was to improve the diagnostic ability of fall risk classifiers using a Bayesian approach and the Simulated Annealing (SA) algorithm.
Enrique Hernandez-Laredo, Ángel Gabriel Estévez-Pedraza, Laura Mercedes Santiago-Fuentes, Lorena Parra-Rodríguez   +3 more
doaj   +1 more source

Results of features selection.

, 2016
Results of features selection.
Rongsheng Zhu (613783), Qingshan Chen (528259), Zhanguo Zhang (3138240), Yang Li (7082), Zhaoming Qi (613782), Zhenbang Hu (2550814), Dawei Xin (613784)   +6 more
core   +1 more source