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Material Type: Article
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Hierarchical quantum classifiersnpj quantum information, 2018-12, Vol.4 (1), p.1-8, Article 65 [Peer Reviewed Journal]2018. 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: 2056-6387 ;EISSN: 2056-6387 ;DOI: 10.1038/s41534-018-0116-9Full text available |
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Material Type: Article
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Ensemble-based classifiersThe Artificial intelligence review, 2010-02, Vol.33 (1-2), p.1-39 [Peer Reviewed Journal]Springer Science+Business Media B.V. 2009 ;Springer Science+Business Media B.V. 2010 ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-009-9124-7Full text available |
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Material Type: Article
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Analysis of classifiers’ robustness to adversarial perturbationsMachine learning, 2018-03, Vol.107 (3), p.481-508 [Peer Reviewed Journal]The Author(s) 2017 ;Machine Learning is a copyright of Springer, (2017). All Rights Reserved. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-017-5663-3Full text available |
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Material Type: Article
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Prediction of heart disease and classifiers’ sensitivity analysisBMC bioinformatics, 2020-07, Vol.21 (1), p.1-278, Article 278 [Peer Reviewed Journal]COPYRIGHT 2020 BioMed Central Ltd. ;2020. This work is licensed 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. ;The Author(s) 2020 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-020-03626-y ;PMID: 32615980Full text available |
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Material Type: Article
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Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A ReviewRemote sensing (Basel, Switzerland), 2020-04, Vol.12 (7), p.1135 [Peer Reviewed Journal]ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12071135Full text available |
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Material Type: Article
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Quantum ensembles of quantum classifiersScientific reports, 2018-02, Vol.8 (1), p.2772-12, Article 2772 [Peer Reviewed Journal]Copyright Nature Publishing Group Feb 2018 ;The Author(s) 2018 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-018-20403-3 ;PMID: 29426855Full text available |
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A systematic comparison of supervised classifiersPloS one, 2014-04, Vol.9 (4), p.e94137-e94137 [Peer Reviewed Journal]COPYRIGHT 2014 Public Library of Science ;COPYRIGHT 2014 Public Library of Science ;2014 Amancio 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. ;2014 Amancio et al 2014 Amancio et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0094137 ;PMID: 24763312Full text available |
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Material Type: Article
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A performance comparison of eight commercially available automatic classifiers for facial affect recognitionPloS one, 2020-04, Vol.15 (4), p.e0231968-e0231968 [Peer Reviewed Journal]COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Dupré 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. ;2020 Dupré et al 2020 Dupré et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0231968 ;PMID: 32330178Full text available |
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Material Type: Article
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Comprehensive benchmarking and ensemble approaches for metagenomic classifiersGenome Biology, 2017-09, Vol.18 (1), p.182-182, Article 182 [Peer Reviewed Journal]2017. This work is licensed 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. ;The Author(s). 2017 ;ISSN: 1474-760X ;ISSN: 1474-7596 ;EISSN: 1474-760X ;DOI: 10.1186/s13059-017-1299-7 ;PMID: 28934964Full text available |
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Material Type: Article
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Tag N’ Train: a technique to train improved classifiers on unlabeled dataThe journal of high energy physics, 2021-01, Vol.2021 (1), p.1-21, Article 153 [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/JHEP01(2021)153Full text available |
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Material Type: Article
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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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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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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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14 |
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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Material Type: Article
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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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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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17 |
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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18 |
Material Type: Article
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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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19 |
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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20 |
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 |