Automatic mass spectra recognition for Ultra High Vacuum systems using multilabel classification-Reference-Cited by-同舟云学术

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Automatic mass spectra recognition for Ultra High Vacuum systems using multilabel classification

Published:2021-09 Issue: Volume:178 Page:114959
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Mateo Fernando,Garcés-Iniesta Juan José,Jenninger Berthold,Gómez-Sanchís Juan,Soria-Olivas Emilio,Chiggiato Paolo

Funder

European Organization for Nuclear Research

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference36 articles.

1. A new algorithm for the evaluation of shotgun peptide sequencing in proteomics: support vector machine classification of peptide ms/ms spectra and sequest scores;Anderson;Journal of Proteome Research,2003

2. A universal denoising and peak picking algorithm for LC- MS based on matched filtration in the chromatographic time domain;Andreev;Analytical Chemistry,2003

3. Dereplication of natural products using GC-TOF Mass Spectrometry: Improved metabolite identification by spectral deconvolution ratio analysis;Carnevale Neto;Frontiers in Molecular Biosciences,2016

4. Semisupervised model-based validation of peptide identifications in mass spectrometry-based proteomics;Choi;Journal of Proteome Research,2008

5. Knowledge discovery in multi-label phenotype data;Clare,2001

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1. Analysis for Time-Dependent Behavior of Soft Rock Through a Reinforced Learning Fusion Constitutive Model;International Journal of Applied Mechanics;2024-05

2. Enhancement of DNN-based multilabel classification by grouping labels based on data imbalance and label correlation;Pattern Recognition;2022-12

3. Research on prediction of multi-class theft crimes by an optimized decomposition and fusion method based on XGBoost;Expert Systems with Applications;2022-11

4. Reconstruction of Ultra-High Vacuum Mass Spectra Using Genetic Algorithms;Applied Sciences;2021-12-10

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