Ridge regression with self - Paced learning algorithm in interpretation of voltammetric signals-Reference-Cited by-同舟云学术

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Ridge regression with self - Paced learning algorithm in interpretation of voltammetric signals

Published:2019-08 Issue: Volume:191 Page:73-81
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Górski Łukasz,Jakubowska Małgorzata

Funder

National Science Centre, Poland

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference39 articles.

1. Background removal from spectra by designing and minimising a non-quadratic cost function;Mazet;Chemometr. Intell. Lab. Syst.,2005

2. Comparison of several methods of chromatographic baseline removal with a new approach based on quantile regression;Komsta;Chromatographia,2011

3. Baseline correction by improved iterative polynomial fitting with automatic threshold;Gan;Chemometr. Intell. Lab. Syst.,2006

4. Use of a spline function of a fractional degree for the description of the base line in the determination of platinum by stripping voltammetry;Romanenko;J. Anal. Chem.,2001

5. Automatic baseline correction in voltammetry;Górski;Electrochim. Acta,2014

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