Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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21 |
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A review of epileptic seizure detection using machine learning classifiersBrain 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: 32451639Full text available |
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22 |
Material Type: Article
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Domain Adaptation for Statistical ClassifiersThe 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.1872Full text available |
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23 |
Material Type: Article
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Parametrized classifiers for optimal EFT sensitivityThe 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)247Full text available |
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24 |
Material Type: Article
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Humans as intuitive classifiersFrontiers 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: 36710808Full text available |
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25 |
Material Type: Article
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Nearest neighbors distance ratio open-set classifierMachine 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/s10994-016-5610-8Full text available |
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26 |
Material Type: Article
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Uncertainty quantification in neural network classifiers—A local linear approachAutomatica (Oxford), 2024-05, Vol.163 [Peer Reviewed Journal]ISSN: 0005-1098 ;ISSN: 1873-2836 ;EISSN: 1873-2836 ;DOI: 10.1016/j.automatica.2024.111563Digital Resources/Online E-Resources |
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27 |
Material Type: Article
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Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiersNeuroImage (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: 24389422Full text available |
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28 |
Material Type: Article
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Galois theory for analogical classifiersAnnals 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/s10472-023-09833-6Digital Resources/Online E-Resources |
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29 |
Material Type: Article
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Optimal classifier for imbalanced data using Matthews Correlation Coefficient metricPloS 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: 28574989Full text available |
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30 |
Material Type: Article
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Copy-number classifiers for cancerNature 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/s41576-022-00516-2Full text available |
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31 |
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Explaining classifiers by constructing familiar conceptsMachine 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/s10994-022-06157-0Digital Resources/Online E-Resources |
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32 |
Material Type: Article
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Classifier chains for multi-label classificationMachine 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/s10994-011-5256-5Full text available |
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33 |
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Differentiation of supratentorial single brain metastasis and glioblastoma by using peri-enhancing oedema region–derived radiomic features and multiple classifiersEuropean 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: 32006166Full text available |
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34 |
Material Type: Article
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Learning likelihood ratios with neural network classifiersThe 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)136Full text available |
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35 |
Material Type: Article
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Class-imbalanced classifiers for high-dimensional dataBriefings 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: 22408190Full text available |
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36 |
Material Type: Article
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Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck CancerFrontiers 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: 26697407Full text available |
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37 |
Material Type: Article
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Tool wear monitoring using naïve Bayes classifiersInternational 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/s00170-014-6560-6Full text available |
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38 |
Material Type: Article
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The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasetsPloS 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: 25738806Full text available |
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39 |
Material Type: Article
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Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 ImagerySensors (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: 29271909Full text available |
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40 |
Material Type: Article
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Machine learning classifiers and fMRI: A tutorial overviewNeuroImage (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: 19070668Full text available |