Mass spectral feature selection and structural correlations using computerized learning machines

Computerized Learning

Quality based classification of gasoline samples by ATR-FTIR spectrometry using spectral feature selection with quadratic discriminant analysis

Fuel ◽

10.1016/j.fuel.2013.04.001 ◽

2013 ◽

Vol 111 ◽

pp. 96-102 ◽

Cited By ~ 18

Author(s):

Mohammadreza Khanmohammadi ◽

Amir Bagheri Garmarudi ◽

Keyvan Ghasemi ◽

Miguel de la Guardia

Keyword(s):

Feature Selection ◽

Discriminant Analysis ◽

Spectral Feature ◽

Quadratic Discriminant Analysis ◽

Ftir Spectrometry ◽

Chapman & Hall/CRC Data Mining and Knowledge Discovery Series - Spectral Feature Selection for Data Mining ◽

Univariate Formulations for Spectral Feature Selection

10.1201/b11426-3 ◽

2011 ◽

pp. 21-54

Keyword(s):

Feature Selection ◽

Spectral Feature ◽

Spectral Feature Selection with Particle Swarm Optimization for Hyperspectral Classification

2012 International Conference on Industrial Control and Electronics Engineering ◽

10.1109/icicee.2012.116 ◽

2012 ◽

Cited By ~ 1

Author(s):

Jun Li ◽

Sheng Ding

Keyword(s):

Feature Selection ◽

Particle Swarm Optimization ◽

Spectral Feature ◽

Particle Swarm ◽

Swarm Optimization ◽

Hyperspectral Classification

LIBS development methodology for forensic nuclear materials analysis

Analytical Methods ◽

10.1039/c7ay02520c ◽

2018 ◽

Vol 10 (7) ◽

pp. 791-798 ◽

Cited By ~ 11

Author(s):

Bobby Bhatt ◽

Kalambuka Hudson Angeyo ◽

Alix Dehayem-Kamadjeu

Keyword(s):

Feature Selection ◽

Spectral Feature ◽

Forensic Analysis ◽

Nuclear Materials ◽

Methodology Development ◽

Materials Analysis ◽

Development Methodology ◽

Selection For ◽

Nuclear Forensic

Methodology development of LIBS coupled with chemometrics utilizing weak U-lines and spectral feature selection for rapid nuclear forensic analysis.

A Spectral Feature Selection Approach with Kernelized Fuzzy Rough Sets

IEEE Transactions on Fuzzy Systems ◽

10.1109/tfuzz.2021.3096212 ◽

2021 ◽

pp. 1-1

Author(s):

Jinkun Chen ◽

Yaojin Lin ◽

Ju-Sheng Mi ◽

Shaozi Li ◽

Weiping Ding

Keyword(s):

Feature Selection ◽

Rough Sets ◽

Spectral Feature ◽

Fuzzy Rough Sets ◽

Selection Approach ◽

Feature Selection Approach

Genetic algorithm spectral feature selection coupled with quadratic discriminant analysis for ATR-FTIR spectrometric diagnosis of basal cell carcinoma via blood sample analysis

RSC Advances ◽

10.1039/c4ra04965a ◽

2014 ◽

Vol 4 (78) ◽

pp. 41484-41490 ◽

Cited By ~ 5

Author(s):

Mohammadreza Khanmohammadi ◽

Keyvan Ghasemi ◽

Amir Bagheri Garmarudi

Keyword(s):

Genetic Algorithm ◽

Feature Selection ◽

Basal Cell Carcinoma ◽

Cell Carcinoma ◽

Basal Cell ◽

Spectral Feature ◽

Quadratic Discriminant Analysis ◽

Sample Analysis ◽

Blood Samples ◽

A diagnostic approach for basal cell carcinoma (BCC) has been developed based on investigation of the infrared spectra of blood samples.

A New Approach for Spatio-Spectral Feature Selection for Sensors with Noisy and Overlapping Spectral Bands

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2008.4780109 ◽

2008 ◽

Author(s):

Biliana S. Paskalva ◽

Majeed M. Hayat ◽

Woo-Yong Jang ◽

Sanjay Krishna

Keyword(s):

Feature Selection ◽

Spectral Feature ◽

New Approach ◽

Spectral Bands ◽

Selection For ◽

Unsupervised Spectral Feature Selection with Local Structure Learning

2017 IEEE International Conference on Big Knowledge (ICBK) ◽

10.1109/icbk.2017.23 ◽

2017 ◽

Author(s):

Shichao Zhang ◽

Yue Fang ◽

Cong Lei ◽

Yangding Li ◽

Rongyao Hu ◽

...

Keyword(s):

Feature Selection ◽

Local Structure ◽

Structure Learning ◽

Spectral Feature ◽

Local Structure Learning

Spectral Feature Selection for Data Mining

10.1201/b11426 ◽

2011 ◽

Cited By ~ 37

Author(s):

Zheng Alan Zhao ◽

Huan Liu

Keyword(s):

Data Mining ◽

Feature Selection ◽

Spectral Feature ◽

Selection For ◽

Laser-induced breakdown spectroscopy spectral feature selection to enhance classification capabilities: A t-test filter approach

Spectrochimica Acta Part B Atomic Spectroscopy ◽

10.1016/j.sab.2019.105721 ◽

2019 ◽

Vol 162 ◽

pp. 105721 ◽

Cited By ~ 3

Author(s):

Curtis Huffman ◽

Hugo Sobral ◽

Estrella Terán-Hinojosa

Keyword(s):

Feature Selection ◽

Spectral Feature ◽

T Test ◽

Laser Induced Breakdown Spectroscopy ◽

Breakdown Spectroscopy ◽

Laser Induced Breakdown ◽

Test Filter ◽

Filter Approach ◽