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Results 21 - 40 of 438,132  for All Library Resources

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21
A review of epileptic seizure detection using machine learning classifiers
A review of epileptic seizure detection using machine learning classifiers
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A review of epileptic seizure detection using machine learning classifiers

Brain informatics, 2020-05, Vol.7 (1), p.5-5, Article 5 [Peer Reviewed Journal]

The Author(s) 2020 ;COPYRIGHT 2020 Springer ;The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2198-4018 ;EISSN: 2198-4026 ;DOI: 10.1186/s40708-020-00105-1 ;PMID: 32451639

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22
Domain Adaptation for Statistical Classifiers
Domain Adaptation for Statistical Classifiers
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Domain Adaptation for Statistical Classifiers

The Journal of artificial intelligence research, 2006-01, Vol.26, p.101-126 [Peer Reviewed Journal]

2006. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://www.jair.org/index.php/jair/about ;ISSN: 1076-9757 ;EISSN: 1943-5037 ;DOI: 10.1613/jair.1872

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23
Parametrized classifiers for optimal EFT sensitivity
Parametrized classifiers for optimal EFT sensitivity
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Parametrized classifiers for optimal EFT sensitivity

The journal of high energy physics, 2021-05, Vol.2021 (5), p.1-39, Article 247 [Peer Reviewed Journal]

The Author(s) 2021 ;The Author(s) 2021. This work is published under CC-BY 4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1029-8479 ;EISSN: 1029-8479 ;DOI: 10.1007/JHEP05(2021)247

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24
Humans as intuitive classifiers
Humans as intuitive classifiers
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Humans as intuitive classifiers

Frontiers in psychology, 2023-01, Vol.13, p.1041737-1041737 [Peer Reviewed Journal]

Copyright © 2023 Erev and Marx. ;Copyright © 2023 Erev and Marx. 2023 Erev and Marx ;ISSN: 1664-1078 ;EISSN: 1664-1078 ;DOI: 10.3389/fpsyg.2022.1041737 ;PMID: 36710808

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25
Nearest neighbors distance ratio open-set classifier
Nearest neighbors distance ratio open-set classifier
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Nearest neighbors distance ratio open-set classifier

Machine learning, 2017-03, Vol.106 (3), p.359-386 [Peer Reviewed Journal]

The Author(s) 2016 ;Machine Learning is a copyright of Springer, 2017. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-016-5610-8

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26
Uncertainty quantification in neural network classifiers—A local linear approach
Uncertainty quantification in neural network classifiers—A local linear approach
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Uncertainty quantification in neural network classifiers—A local linear approach

Automatica (Oxford), 2024-05, Vol.163 [Peer Reviewed Journal]

ISSN: 0005-1098 ;ISSN: 1873-2836 ;EISSN: 1873-2836 ;DOI: 10.1016/j.automatica.2024.111563

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27
Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers
Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers
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Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers

NeuroImage (Orlando, Fla.), 2014-04, Vol.90, p.449-468 [Peer Reviewed Journal]

2014 ;2015 INIST-CNRS ;Copyright © 2014. Published by Elsevier Inc. ;Copyright Elsevier Limited Apr 15, 2014 ;ISSN: 1053-8119 ;EISSN: 1095-9572 ;DOI: 10.1016/j.neuroimage.2013.11.046 ;PMID: 24389422

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28
Galois theory for analogical classifiers
Galois theory for analogical classifiers
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Galois theory for analogical classifiers

Annals of mathematics and artificial intelligence, 2024-01 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1012-2443 ;EISSN: 1573-7470 ;DOI: 10.1007/s10472-023-09833-6

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29
Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric
Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric
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Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric

PloS one, 2017-06, Vol.12 (6), p.e0177678-e0177678 [Peer Reviewed Journal]

COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Boughorbel et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2017 Boughorbel et al 2017 Boughorbel et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0177678 ;PMID: 28574989

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30
Copy-number classifiers for cancer
Copy-number classifiers for cancer
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Copy-number classifiers for cancer

Nature reviews. Genetics, 2022-08, Vol.23 (8), p.457-457 [Peer Reviewed Journal]

Springer Nature Limited 2022. ;ISSN: 1471-0056 ;EISSN: 1471-0064 ;DOI: 10.1038/s41576-022-00516-2

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31
Explaining classifiers by constructing familiar concepts
Explaining classifiers by constructing familiar concepts
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Explaining classifiers by constructing familiar concepts

Machine learning, 2023-11, Vol.112 (11), p.4167-4200 [Peer Reviewed Journal]

The Author(s) 2022 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-022-06157-0

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32
Classifier chains for multi-label classification
Classifier chains for multi-label classification
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Classifier chains for multi-label classification

Machine learning, 2011-12, Vol.85 (3), p.333-359 [Peer Reviewed Journal]

The Author(s) 2011 ;2015 INIST-CNRS ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-011-5256-5

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33
Differentiation of supratentorial single brain metastasis and glioblastoma by using peri-enhancing oedema region–derived radiomic features and multiple classifiers
Differentiation of supratentorial single brain metastasis and glioblastoma by using peri-enhancing oedema region–derived radiomic features and multiple classifiers
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Differentiation of supratentorial single brain metastasis and glioblastoma by using peri-enhancing oedema region–derived radiomic features and multiple classifiers

European radiology, 2020-05, Vol.30 (5), p.3015-3022 [Peer Reviewed Journal]

European Society of Radiology 2019 ;European Society of Radiology 2019. ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-019-06460-w ;PMID: 32006166

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34
Learning likelihood ratios with neural network classifiers
Learning likelihood ratios with neural network classifiers
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Learning likelihood ratios with neural network classifiers

The journal of high energy physics, 2024-02, Vol.2024 (2), p.136-41 [Peer Reviewed Journal]

The Author(s) 2024 ;The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 1029-8479 ;DOI: 10.1007/JHEP02(2024)136

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35
Class-imbalanced classifiers for high-dimensional data
Class-imbalanced classifiers for high-dimensional data
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Class-imbalanced classifiers for high-dimensional data

Briefings in bioinformatics, 2013-01, Vol.14 (1), p.13-26 [Peer Reviewed Journal]

ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbs006 ;PMID: 22408190

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36
Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer
Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer
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Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer

Frontiers in oncology, 2015-12, Vol.5, p.272-272 [Peer Reviewed Journal]

COPYRIGHT 2015 Frontiers Research Foundation ;Copyright © 2015 Parmar, Grossmann, Rietveld, Rietbergen, Lambin and Aerts. 2015 Parmar, Grossmann, Rietveld, Rietbergen, Lambin and Aerts ;ISSN: 2234-943X ;EISSN: 2234-943X ;DOI: 10.3389/fonc.2015.00272 ;PMID: 26697407

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37
Tool wear monitoring using naïve Bayes classifiers
Tool wear monitoring using naïve Bayes classifiers
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Tool wear monitoring using naïve Bayes classifiers

International journal of advanced manufacturing technology, 2015-04, Vol.77 (9-12), p.1613-1626 [Peer Reviewed Journal]

Springer-Verlag London 2014 ;The International Journal of Advanced Manufacturing Technology is a copyright of Springer, (2014). All Rights Reserved. ;ISSN: 0268-3768 ;EISSN: 1433-3015 ;DOI: 10.1007/s00170-014-6560-6

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38
The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets
The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets
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The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets

PloS one, 2015-03, Vol.10 (3), p.e0118432-e0118432 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Saito, Rehmsmeier. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2015 Saito, Rehmsmeier 2015 Saito, Rehmsmeier ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0118432 ;PMID: 25738806

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39
Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery
Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery
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Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery

Sensors (Basel, Switzerland), 2017-12, Vol.18 (1), p.18 [Peer Reviewed Journal]

2018. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2017 by the authors. 2017 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s18010018 ;PMID: 29271909

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40
Machine learning classifiers and fMRI: A tutorial overview
Machine learning classifiers and fMRI: A tutorial overview
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Machine learning classifiers and fMRI: A tutorial overview

NeuroImage (Orlando, Fla.), 2009-03, Vol.45 (1), p.S199-S209 [Peer Reviewed Journal]

2008 Elsevier Inc. ;Copyright Elsevier Limited Mar 1, 2009 ;ISSN: 1053-8119 ;EISSN: 1095-9572 ;DOI: 10.1016/j.neuroimage.2008.11.007 ;PMID: 19070668

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