Analysis of the Effect of Unexpected Outliers in the Classification of Spectroscopy Data

Application of self-organizing maps for the detection and classification of human blood plasma lipoprotein lipid profiles on the basis of1H NMR spectroscopy data

NMR in Biomedicine ◽

10.1002/(sici)1099-1492(199806/08)11:4/5<168::aid-nbm527>3.0.co;2-k ◽

1998 ◽

Vol 11 (4-5) ◽

pp. 168-176 ◽

Cited By ~ 27

Author(s):

J. Kaartinen ◽

Y. Hiltunen ◽

P. T. Kovanen ◽

M. Ala-Korpela

Keyword(s):

Nmr Spectroscopy ◽

Blood Plasma ◽

Human Blood ◽

Lipid Profiles ◽

Plasma Lipoprotein ◽

Human Blood Plasma ◽

Spectroscopy Data ◽

Self Organizing Maps ◽

Lipoprotein Lipid

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Direct orthogonal signal correction as data pretreatment in the classification of clinical lots of creams from near infrared spectroscopy data

Analytica Chimica Acta ◽

10.1016/j.aca.2006.09.029 ◽

2007 ◽

Vol 582 (1) ◽

pp. 181-189 ◽

Cited By ~ 14

Author(s):

J. Luypaert ◽

S. Heuerding ◽

D.L. Massart ◽

Y. Vander Heyden

Keyword(s):

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Spectroscopy Data ◽

Orthogonal Signal ◽

Direct Orthogonal Signal Correction ◽

Orthogonal Signal Correction ◽

Signal Correction ◽

Data Pretreatment

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Spectral feature selection and classification of roofing materials using field spectroscopy data

Journal of Applied Remote Sensing ◽

10.1117/1.jrs.9.095079 ◽

2015 ◽

Vol 9 (1) ◽

pp. 095079 ◽

Cited By ~ 17

Author(s):

Sarah Hanim Samsudin ◽

Helmi Z. M. Shafri ◽

Alireza Hamedianfar ◽

Shattri Mansor

Keyword(s):

Feature Selection ◽

Spectral Feature ◽

Spectroscopy Data ◽

Field Spectroscopy ◽

Spectral Feature Selection ◽

Roofing Materials

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ALGORITHM CONSTRUCTION METHODOLOGY FOR DIAGNOSTIC CLASSIFICATION OF BLADDER-DERIVED NEAR-INFRARED SPECTROSCOPY DATA

The Journal of Urology ◽

10.1016/s0022-5347(09)61688-8 ◽

2009 ◽

Vol 181 (4) ◽

pp. 601

Author(s):

Ramon Gueverra ◽

Lynn Stothers ◽

Andrew J Macnab

Keyword(s):

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Diagnostic Classification ◽

Spectroscopy Data ◽

Algorithm Construction

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Application of Various Pre-Processing Techniques on Infrared (IR) Spectroscopy Data for Classification of Different Ghee Samples

2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA) ◽

10.1109/iccubea.2018.8697787 ◽

2018 ◽

Author(s):

Navjot Kumar ◽

P C Panchariya ◽

Surendra Singh Patel ◽

A H Kiranmayee ◽

Rishi Ranjan

Keyword(s):

Ir Spectroscopy ◽

Spectroscopy Data ◽

Processing Techniques

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Classification of crops across heterogeneous agricultural landscape in Kenya using AisaEAGLE imaging spectroscopy data

International Journal of Applied Earth Observation and Geoinformation ◽

10.1016/j.jag.2015.02.005 ◽

2015 ◽

Vol 39 ◽

pp. 1-8 ◽

Cited By ~ 26

Author(s):

Rami Piiroinen ◽

Janne Heiskanen ◽

Matti Mõttus ◽

Petri Pellikka

Keyword(s):

Agricultural Landscape ◽

Imaging Spectroscopy ◽

Spectroscopy Data

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Improving the analysis of near-infrared spectroscopy data with multivariate classification of hemodynamic patterns: a theoretical formulation and validation

Journal of Neural Engineering ◽

10.1088/1741-2552/aabb7c ◽

2018 ◽

Vol 15 (4) ◽

pp. 045001 ◽

Cited By ~ 3

Author(s):

Jessica Gemignani ◽

Eike Middell ◽

Randall L Barbour ◽

Harry L Graber ◽

Benjamin Blankertz

Keyword(s):

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Spectroscopy Data ◽

Multivariate Classification ◽

Theoretical Formulation

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Classification of fentanyl precursors by multivariate analysis of low-field nuclear magnetic resonance spectroscopy data

Forensic Chemistry ◽

10.1016/j.forc.2020.100285 ◽

2020 ◽

Vol 21 ◽

pp. 100285

Author(s):

Hugh E. McKeown ◽

Trevor J. Rook ◽

James R. Pearson ◽

Oliver A.H. Jones

Keyword(s):

Nuclear Magnetic Resonance ◽

Multivariate Analysis ◽

Magnetic Resonance ◽

Magnetic Resonance Spectroscopy ◽

Nuclear Magnetic Resonance Spectroscopy ◽

Resonance Spectroscopy ◽

Spectroscopy Data ◽

Low Field ◽

Magnetic Resonance Spectroscopy Data

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Robust Classification of High-Dimensional Spectroscopy Data Using Deep Learning and Data Synthesis

Journal of Chemical Information and Modeling ◽

10.1021/acs.jcim.9b01037 ◽

2020 ◽

Vol 60 (4) ◽

pp. 1936-1954 ◽

Cited By ~ 1

Author(s):

James Houston ◽

Frank G. Glavin ◽

Michael G. Madden

Keyword(s):

Deep Learning ◽

High Dimensional ◽

Spectroscopy Data ◽

Data Synthesis ◽

Robust Classification

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Bag-of-features approaches for combined classification of laser scanning microscopy and spectroscopy data sets

2016 International Conference Laser Optics (LO) ◽

10.1109/lo.2016.7549980 ◽

2016 ◽

Author(s):

Stefan G. Stanciu ◽

Radu Boriga ◽

Ana C. Dascalescu ◽

Radu Hristu ◽

George A. Stanciu

Keyword(s):

Laser Scanning ◽

Laser Scanning Microscopy ◽

Scanning Microscopy ◽

Data Sets ◽

Spectroscopy Data ◽

Bag Of Features

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