USING MACHINE-LEARNING FEATURE SELECTION APPLIED TO NEAR INFRARED SPECTRA TO CHARACTERIZE AGES OF MALARIA VECTORS

被引:0
|
作者
Milali, Masabho P. [1 ]
机构
[1] Marquette Univ, Milwaukee, WI 53233 USA
来源
AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE | 2015年 / 93卷 / 04期
关键词
D O I
暂无
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
382
引用
收藏
页码:116 / 116
页数:1
相关论文
共 50 条
  • [21] Machine-learning based feature selection for a non-invasive breathing change detection
    Juliana Alves Pegoraro
    Sophie Lavault
    Nicolas Wattiez
    Thomas Similowski
    Jésus Gonzalez-Bermejo
    Etienne Birmelé
    BioData Mining, 14
  • [22] Machine-learning based feature selection for a non-invasive breathing change detection
    Pegoraro, Juliana Alves
    Lavault, Sophie
    Wattiez, Nicolas
    Similowski, Thomas
    Gonzalez-Bermejo, Jesus
    Birmele, Etienne
    BIODATA MINING, 2021, 14 (01)
  • [23] Classifying formulations of crosslinked polyethylene pipe by applying machine-learning concepts to infrared spectra
    Hiles, Melanie
    Grossutti, Michael
    Dutcher, John R.
    JOURNAL OF POLYMER SCIENCE PART B-POLYMER PHYSICS, 2019, 57 (18) : 1255 - 1262
  • [24] Benchmarking feature selection and feature extraction methods to improve the performances of machine-learning algorithms for patient classification using metabolomics biomedical data
    Labory, Justine
    Njomgue-Fotso, Evariste
    Bottini, Silvia
    COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2024, 23 : 1274 - 1287
  • [25] Feature selection for classification of animal feed ingredients from near infrared microscopy spectra
    Sanchez del Rivero, Jose Antonio
    Montanes-Roces, Elena
    de la Roza-Delgado, Begona
    Soldado, Ana
    Luaces, Oscar
    Ramon Quevedo, Jose
    Bahamonde, Antonio
    INFORMATION SCIENCES, 2013, 241 : 58 - 69
  • [26] Optimizing wavelength selection by using informative vectors for parsimonious infrared spectra modelling
    Ng, Wartini
    Minasny, Budiman
    Malone, Brendan P.
    Sarathjith, M. C.
    Das, Bhabani S.
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2019, 158 : 201 - 210
  • [27] A New Methodology for Feature Selection Based on Machine Learning Methods Applied to Glaucoma
    Garcia-Morate, Diego
    Simon-Hurtado, Arancha
    Vivaracho-Pascual, Carlos
    Anton-Lopez, Alfonso
    BIO-INSPIRED SYSTEMS: COMPUTATIONAL AND AMBIENT INTELLIGENCE, PT 1, 2009, 5517 : 1037 - 1044
  • [28] Comparative analysis of Alzheimer's disease classification by CDR level using CNN, feature selection, and machine-learning techniques
    Khagi, Bijen
    Kwon, Goo-Rak
    Lama, Ramesh
    INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, 2019, 29 (03) : 297 - 310
  • [29] A comprehensive study of different feature selection methods and machine-learning techniques for SODAR structure classification
    Kumar, Nishant
    Soni, Kirti
    Agarwal, Ravinder
    MODELING EARTH SYSTEMS AND ENVIRONMENT, 2021, 7 (01) : 209 - 220
  • [30] A comprehensive study of different feature selection methods and machine-learning techniques for SODAR structure classification
    Nishant Kumar
    Kirti Soni
    Ravinder Agarwal
    Modeling Earth Systems and Environment, 2021, 7 : 209 - 220